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AHRQ Evidence Reports
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Chapter  62:  Diagnosis and Treatment of Worker-Related Musculoskeletal Disorders of the Upper Extremity

A98482

Prepared for:

Agency for Healthcare Research and Quality

U.S. Department of Health and Human Services

2101 East Jefferson Street

Rockville, MD 20852

http://www.ahrq.gov

Contract No. 290-97-0020

Prepared by:

ECRI

Health Technology Assessment Group

Vivian H. Coates, M.B.A.

Program Director

Charles M. Turkelson, Ph.D.

Principal Investigator

Richard Chapell, Ph.D.

Wendy Bruening, Ph.D.

Matthew D. Mitchell, Ph.D.

James T. Reston, Ph.D.

Jonathan R. Treadwell, Ph.D.

Investigators

AHRQ Publication No. 02-E038

December 2002

ISBN: 1-58763-125-3

ISSN: 1530-4396

This document is in the public domain and may be used and reprinted without permission except those copyrighted materials noted for which further reproduction is prohibited without the specific permission of copyright holders.

This report may be used, in whole or in part, as the basis for development of clinical practice guidelines and other quality enhancement tools, or as a basis for reimbursement and coverage policies. Endorsement by the Agency for Healthcare Research and Quality (AHRQ) or the U.S. Department of Health and Human Services (DHHS) of such derivative products may not be stated or implied.

AHRQ is the lead Federal agency charged with supporting research designed to improve the quality of health care, reduce its cost, address patient safety and medical errors, and broaden access to essential services. AHRQ sponsors and conducts research that provides evidence-based information on health care outcomes; quality; and cost, use, and access. The information helps heath care decisionmakers—patients and clinicians, health system leaders, and policymakers—make more informed decisions and improve the quality of health care services.

Suggested Citation:

Chapell R, Turkelson CM, Coates V, et al. Diagnosis and Treatment of Worker-Related Musculoskeletal Disorders of the Upper Extremity. Evidence Report/Technology Assessment Number 62. (Prepared by ECRI, Health Technology Assessment Group under Contract No. 290-97-0020.) AHRQ Publication No. 02-E038 Rockville, MD: Agency for Healthcare Research and Quality. December 2002.

Prepared for:

Agency for Healthcare Research and Quality

U.S. Department of Health and Human Services

2101 East Jefferson Street

Rockville, MD 20852

http://www.ahrq.gov

Contract No. 290-97-0020

Prepared by:

ECRI

Health Technology Assessment Group

Vivian H. Coates, M.B.A.

Program Director

Charles M. Turkelson, Ph.D.

Principal Investigator

Richard Chapell, Ph.D.

Wendy Bruening, Ph.D.

Matthew D. Mitchell, Ph.D.

James T. Reston, Ph.D.

Jonathan R. Treadwell, Ph.D.

Investigators

AHRQ Publication No. 02-E038

December 2002

ISBN: 1-58763-125-3

ISSN: 1530-4396

This document is in the public domain and may be used and reprinted without permission except those copyrighted materials noted for which further reproduction is prohibited without the specific permission of copyright holders.

This report may be used, in whole or in part, as the basis for development of clinical practice guidelines and other quality enhancement tools, or as a basis for reimbursement and coverage policies. Endorsement by the Agency for Healthcare Research and Quality (AHRQ) or the U.S. Department of Health and Human Services (DHHS) of such derivative products may not be stated or implied.

AHRQ is the lead Federal agency charged with supporting research designed to improve the quality of health care, reduce its cost, address patient safety and medical errors, and broaden access to essential services. AHRQ sponsors and conducts research that provides evidence-based information on health care outcomes; quality; and cost, use, and access. The information helps heath care decisionmakers—patients and clinicians, health system leaders, and policymakers—make more informed decisions and improve the quality of health care services.

Suggested Citation:

Chapell R, Turkelson CM, Coates V, et al. Diagnosis and Treatment of Worker-Related Musculoskeletal Disorders of the Upper Extremity. Evidence Report/Technology Assessment Number 62. (Prepared by ECRI, Health Technology Assessment Group under Contract No. 290-97-0020.) AHRQ Publication No. 02-E038 Rockville, MD: Agency for Healthcare Research and Quality. December 2002.

Preface

The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public- and private-sector organizations in their efforts to improve the quality of health care in the United States. The reports and assessments provide organizations with comprehensive, science-based information on common, costly medical conditions and new health care technologies. The EPCs systematically review the relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments.

To bring the broadest range of experts into the development of evidence reports and health technology assessments, AHRQ encourages the EPCs to form partnerships and enter into collaborations with other medical and research organizations. The EPCs work with these partner organizations to ensure that the evidence reports and technology assessments they produce will become building blocks for health care quality improvement projects throughout the Nation. The reports undergo peer review prior to their release.

AHRQ expects that the EPC evidence reports and technology assessments will inform individual health plans, providers, and purchasers as well as the health care system as a whole by providing important information to help improve health care quality.

We welcome written comments on this evidence report. They may be sent to: Director, Center for Practice and Technology Assessment, Agency for Healthcare Research and Quality, 6010 Executive Blvd., Suite 300, Rockville, MD 20852.

Carolyn Clancy, M.D.

Acting Director

Agency for Healthcare Research and Quality

Robert Graham, M.D.

Director, Center for Practice and Technology Assessment

Agency for Healthcare Research and Quality

The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services of a particular drug, device, test, treatment, or other clinical service.

Structured Abstract

Objectives. We conducted a systematic review of published evidence on four common musculoskeletal disorders affecting workers; carpal tunnel syndrome (CTS), cubital tunnel syndrome, epicondylitis, and de Quervain's disease. This report is a “Best Evidence” synthesis in which we address the best available evidence, not the best possible evidence. We addressed 13 key questions regarding their diagnosis, treatment, and costs.

Search Strategy. To identify information for this report, we searched 31 databases, relevant web sites, four U.S. government datasets, hand-searched the reference lists of all studies retrieved for this evidence report, searched Current Contents-Clinical Medicine weekly, and reviewed over 1,600 documents maintained in ECRI's collections.

Selection Criteria. To be selected for evaluation, a published study had to enroll patients diagnosed with one of the four relevant disorders. All controlled trials were retrieved, regardless of year of publication or whether they were described as randomized or prospective. Other studies were evaluated only if they were published in 1980, or later, and included 10 or more patients. Only English-language articles were retrieved. After retrieval, documents were examined to ensure that they did not contain flaws (e.g. confounding, incomparable study groups) precluding interpretation of results.

Data Collection and Analysis. Data about trial design, patient signs, symptoms, comorbidities, characteristics, and treatments, treatment outcomes and diagnostic measurements were abstracted from articles meeting inclusion criteria using electronic forms. Data were meta-analyzed when possible. Other analyses included corrections for patient attrition, statistical power analyses, multiple regression analyses, effect size computation, determinations of statistically significant differences between patient characteristics and verification of diagnostic test characteristics.

Main Results

The literature describing these disorders is often of poor quality, with few studies addressing any given issue. The evidence currently available suggests the following tendencies:

Two diagnostic tests for CTS, distal motor latency and palmar sensory latency, appear to have high specificity and low-to-moderate sensitivity.

Patients who have undergone surgery for CTS are predominantly middle aged and female. It is not possible to determine the characteristics of those undergoing surgery for the other three conditions.

Studies comparing open and endoscopic carpal tunnel release show a small but statistically significant advantage for endoscopic release, despite a higher rate of complications and reoperation compared to open release.

CTS patients benefit, but may not recover fully or permanently after steroid injection into the carpal tunnel.

Published data do not support the use of neurolysis, ligament reconstruction, or ultrasound for most CTS patients.

Laser therapy does not appear to be an effective treatment for epicondylitis.

Patients with epicondylitis who were treated with acupuncture had better global outcomes and greater pain relief than patients given sham acupuncture.

Conclusions. Published literature describing the diagnosis, treatment and impact of worker-related upper-extremity disorders is diffuse and generally of low quality, making it difficult to come to firm evidence-based conclusions. There are trends in available data, but it is often difficult to quantify them.

Summary

Overview

This report is a systematic evaluation of the evidence pertaining to a broad range of issues related to the diagnosis and treatment of worker-related upper extremity disorders (WRUEDs). For the purposes of this report, “worker-related” is defined as a disorder that affects workers, not as a disorder necessarily caused by work. Four disorders are the focus of this report; carpal tunnel syndrome, cubital tunnel syndrome, epicondylitis, and de Quervain's disease.

The first two disorders are the result of nerve entrapment. Carpal tunnel syndrome is the result of increased pressure on the median nerve in the carpal tunnel of the wrist, resulting in sensory and motor disturbances in the parts of the hand innervated by this nerve. Cubital tunnel syndrome results from increased pressure on the ulnar nerve in the cubital tunnel of the elbow, resulting in sensory and motor disturbances in the parts of the forearm and hand innervated by this nerve. The second two disorders are the result of stress to the tendons of the elbow and wrist, respectively. All four disorders can lead to pain, loss of function, and long-term disability.

The overall prevalence of carpal tunnel syndrome in the United States may be as high as 1.9 million people, and each year there are 300,000–500,000 operations for the condition. Epicondylitis has been reported to affect 4.23 individuals per 1,000 adults per year in the U.S. The prevalence of cubital tunnel syndrome and de Quervain's disease has not been established.

In this evidence report, the Evidence-based Practice Center (EPC) assessed the published literature describing the effects of these disorders, before and after treatment, on patients, particularly workers. They did this by examining the literature pertaining to 13 key questions.

Reporting the Evidence

This report addresses 13 questions regarding worker-related disorders of the upper extremity. Eleven of these are condition-specific. Therefore, the EPC individually address them for each of the four above-mentioned disorders. Two questions are not condition-specific. Therefore, the EPC addressed them only once. The 11 condition-specific Key Questions addressed in this evidence report are:

Question 1: What are the most effective methods and approaches for the early identification and diagnosis of worker-related musculoskeletal disorders of the upper extremity?

Question 2: What are the specific indications for surgery for worker-related musculoskeletal disorders of the upper extremity?

Question 3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with worker-related musculoskeletal disorders of the upper extremity?

Question 4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question 5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question 6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?7

Question 7: What are the surgical and nonsurgical costs or charges for treatment of worker-related musculoskeletal disorders of the upper extremity?

Question 8: For persons who have had surgery for worker-related musculoskeletal disorders of the upper extremity, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

Question 9: What instruments, if any, can accurately assess functional limitations in an individual with a worker-related disorder of the upper extremity?

Question 10: What are the functional limitations for an individual with a worker-related musculoskeletal disorder of the upper extremity before treatment?

Question 11: What are the functional limitations of an individual with a worker-related musculoskeletal disorder of the upper extremity after treatment?

The two Key Questions that are not condition-specific are:

Question 12: What are the cumulative effects on functional abilities among individuals with more than one worker-related musculoskeletal disorder of the upper extremity in the same limb?

Question 13: What level of function can patients achieve in what period of time when they are required to change hand dominance as a result of injury to their dominant hand?

Methodology

A panel of nine Technical Experts was employed to assist in defining the scope of this evidence report, developing its questions, and developing the criteria for retrieving and including articles.

To identify information for this evidence report, the EPC searched 31 electronic databases, the World Wide Web, and four U.S. government databases. In addition to these searches, researchers also reviewed the bibliographies and reference list of all studies included in this evidence report, searched Current Contents®/Clinical Medicine on a weekly basis, and routinely reviewed over 1,600 journals and supplements maintained in ECRI's collections.

To be included in this evidence report, an article had to meet a set of a priori retrieval criteria and a set of a priori question-specific inclusion criteria. EPC designed broad retrieval criteria to ensure comprehensive retrieval. They retrieved an article whenever there was uncertainty about whether it met the retrieval criteria. They also retrieved articles when an abstract was not present in the search results, but when the title of the article suggested that it was relevant. The criteria for article retrieval are briefly summarized below:

  • The patients had to have been diagnosed with a worker-related disorder of the upper extremity.

  • All controlled trials, regardless of whether they were described as randomized or prospective, were retrieved, regardless of year of publication.

  • Case series and other reports were evaluated only if published in 1980 or later and included 10 or more patients.

  • Only English-language articles were retrieved.

Once an article was retrieved, it was examined to determine whether it met the question-specific criteria. The major criteria are briefly summarized below; additional question-specific inclusion criteria, which are not listed here, were also applied:

  • The study could not have a serious design flaw that precluded interpretation of the results.

  • The study must have addressed one of the key questions and have included patients with one of the WRUEDs of interest.

  • For studies addressing Key Question 3, the study must have been a controlled trial.

  • The study must have reported on at least one of the seven key outcomes addressed in this assessment. The outcomes are: pain, function, quality of life, ability to return to work, ability to return to activities of daily living, harms, and global outcome.

A global outcome is any score that attempts to encompass the overall success or failure of the treatment. It may be a numerical rating of overall symptom relief or patient satisfaction, a categorical rating such as excellent, good, fair or poor, or a dichotomous rating such as the answer to the question “Would you undergo this procedure again?”

Data from all articles that met our inclusion criteria were abstracted using electronic data abstraction forms. Separate data abstraction forms were designed for entering data about basic trial design information; patient signs, symptoms, comorbidities, characteristics, and treatments; reporting of treatment outcomes; surgical complications; and nerve conduction measurements.

The EPC employed a variety of statistical methods in this evidence report. Meta-analyses of studies of treatments were conducted using Hedges' d as a measure of each study's effect size, and then computing the precision-weighted summary d from the combined results of all studies. Hedges' d is the difference between the means of any study's two groups expressed in standard deviation units. Researchers employed two tests for heterogeneity, the Q statistic and each study's standardized residual. The EPC researchers regarded the data as heterogeneous if the results of either test were statistically significant.

Diagnostic test meta-analyses were performed according to the method of Littenberg and Moses. The researchers took the the mean threshold as the best estimate of a single threshold, and the values of sensitivity and specificity at the mean threshold as the single best global estimate of test effectiveness. Before using the results of a meta-analysis of diagnostics, they verified that there was no statistically significant heterogeneity among the results of the included articles using the Q statistic. If heterogeneity was detected, they removed any subgroups that caused the heterogeneity from the analysis. If there were no subgroups in the analysis, or those subgroups did not cause the heterogeneity, They looked for data points that were outliers, and reported the meta-analytic results with and without exclusion of these outliers.

The EPC performed numerous other statistical computations in addition to those involved in performing meta-analyses. Briefly, these were:

  • Corrections for patient attrition.

  • Statistical power analyses.

  • Multiple regression for certain questions when such results were of interest.

  • Computations of effect sizes for all studies, when possible, even when no meta-analysis was performed.

  • Determinations of whether there were statistically significant differences between the characteristics of patients in any given study.

  • Computation of pretreatment effect sizes.

  • Verification of diagnostic test characteristics.

Findings

Carpal Tunnel Syndrome

Question 1: What are the most effective methods and approaches for the early identification and diagnosis of carpal tunnel syndrome?

  • The evidence base on most individual diagnostic tests for carpal tunnel syndrome is small, even though the total number of articles on CTS diagnosis is large. This is because many different tests have been described. Nerve conduction tests are most frequently reported in the literature, but there is great diversity in their methods.

  • The results of our analyses may overestimate the specificity of nerve conduction measurements in typical practice. This is because the trials we examined used healthy, asymptomatic persons as controls. In clinical practice, the test would be used on workers believed to be at risk for CTS or persons suspected of having CTS. Under these conditions, the false positive rate would be higher, and the specificity correspondingly lower.

  • The most frequently reported nerve conduction tests were distal motor latency and palmar sensory latency. For both tests, clinicians chose thresholds that yielded high specificity (a low incidence of false-positive results). The EPC's meta-analyses of distal motor latency studies found the sensitivity of the test to be 57% to 66% and the specificity to be 98%. Meta-analysis of palmar sensory latency studies found a sensitivity of 76% and a specificity of 98%.

  • Clinical signs and symptoms are also used in the diagnosis of CTS. They attempted to use our meta-analysis techniques to obtain summary values for the sensitivity and specificity of two such signs: Tinel's sign and Phalen's maneuver. In both cases, there was heterogeneity in the published results that could not be explained by differences in patient selection or by single outlier studies. Therefore, they did not calculate summary measurements for sensitivity or specificity. The sensitivity of Phalen's maneuver was lower than its specificity, and two trials reported sensitivity of 80% to 90%. All of the studies of Tinel's sign found that its sensitivity was lower than its specificity, and none found a sensitivity of 75 percent or greater. There was too much heterogeneity in the results for us to conclude that one test was superior to the other, or to compare these tests to nerve conduction testing.

  • Regarding sensory tests, composite nerve conduction tests, and imaging tests, there was insufficient evidence for the EPC to perform meta-analyses of clinical trial results.

  • Their well-designed study suggests that nerve conduction measurement may be able to identify some workers at risk of developing CTS in the future. By itself, this evidence is not sufficient for the EPC to conclude that nerve conduction screening for CTS is effective.

Question 2: What are the specific indications for surgery for carpal tunnel syndrome?

  • Patients who have undergone surgery for carpal tunnel syndrome are predominantly middle aged and female.

  • Because of underreporting, no firm evidence-based conclusions can be drawn regarding the signs, symptoms, neuroelectrical characteristics, and comorbidities of these patients.

Question 3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with carpal tunnel syndrome?

  • Meta-analysis of studies comparing open and endoscopic carpal tunnel release show a small but statistically significant advantage to endoscopic release in global treatment outcome. In addition, the data show a trend toward faster return to work and to activities of daily living among patients receiving endoscopic release. However, these findings must be viewed only as trends in currently available data. This is because they are based on a meta-analysis that contained a number of non-randomized, non-blinded studies. Data from these studies also suggest that endoscopic release has a higher complication rate and a higher rate of reoperation compared to open release. The higher reoperation rates likely arise because of incomplete transection of the transverse carpal ligament. Exact complication rates cannot be determined from presently available data. Presently available data also do not allow one to reach firm evidence-based conclusions about the relative effects of open and endoscopic surgery on the ability of patients to perform daily functions.

  • Meta-analysis of global outcomes demonstrates a potential benefit from not performing neurolysis. Available return to work data also shows a trend toward an advantage to not performing neurolysis. There is insufficient data to determine the effect of neurolysis on pain and function. The available evidence suggests there is little or no benefit from performing neurolysis along with surgical release of the carpal tunnel. The possibility remains that neurolysis may be helpful in special cases, such as in the presence of marked scarring or neural adhesion, but no available evidence specifically documents the benefits and harms of neurolysis among such patients.

  • Results of four studies suggest that injection of steroid into the carpal tunnel yields superior global outcomes compared to no treatment, placebo or oral steroids. However, relief from steroid treatments is not complete. Carpal tunnel injection was significantly better than intramuscular injection at a 1 month followup time. Because no further time points were reported, researchers are unable to determine whether this difference persists beyond this time. There are no data available that indicate whether any type of steroid may be superior to any other, or whether any particular dose is optimum. Although the effects of steroid injection may wear off over time, there is no information indicating the expected duration of relief for the average patient, or whether any patients can expect to experience permanent relief.

  • Two double-blinded randomized controlled trials suggest that oral steroids may lead to a reduction in symptoms of CTS. However, the effects of oral steroids are short-lived and may not be sufficient for patient satisfaction. The effects of higher steroid doses or longer treatment regimens have not been examined in published controlled trials.

  • A single published randomized controlled trial indicates that oral tenoxicam (a NSAID) and trichlormethiazide (a diuretic) do not reduce the symptoms of CTS under the dosing regimens described. Further trials are needed to confirm this observation, and to test the effects of additional drugs and dosing regimens.

  • Results of a single study suggest that manual therapy may have some use in the treatment of carpal tunnel syndrome. This study suggests that carpal bone mobilization provides pain relief, improves function, and delays or eliminates the need for surgery among patients with carpal tunnel syndrome. However, this small study was unblinded. Results from neurodynamic mobilization show a similar trend, but because of a lack of statistical power one cannot conclude that this trend is real. For the same reason, differences in effectiveness between these two treatment groups cannot be determined. A large, blinded, randomized controlled trial is necessary to confirm these results.

  • A larger, more statistically powerful study found no difference between the effects of a physical therapy program and home exercise instructions on pain or function. However, patients receiving physical therapy returned to work faster than those instructed to exercise at home.

  • Although these studies indicate a trend toward some forms of physical therapy having an effect on carpal tunnel syndrome, their small size and design difficulties make it difficult to arrive at a firm evidence-based conclusion.

  • Only one study meeting inclusion criteria addresses the use of ultrasound for carpal tunnel syndrome. Because of this, and because of its associated design and analysis difficulties, one cannot reach a firm evidence-based conclusion.

  • Splint use was addressed only by a single trial that had design difficulties. Because of this, one cannot reach a firm evidence-based conclusion about splint use. There may be conditions under which splints offer an advantage and conditions under which they do not, but this is not addressed by available evidence.

  • The results of one study suggest that suboptimal outcomes are obtained when patients receive ligament reconstruction. However, this trial was neither randomized nor blinded, so one cannot draw firm evidence-based conclusions from it.

  • Although the low statistical power of the one relevant study prevents any solid conclusion from being drawn, this study does not support the therapeutic effectiveness of Vitamin B6. This is because it showed a trend toward a greater percentage of improved patients in the placebo group.

Question 4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with carpal tunnel syndrome?

  • The only clinical finding variable shown by more than one study to significantly predict treatment outcomes was electrodiagnostic testing. Patients with mildly impaired or normal results of electrodiagnostic tests had longer sick leaves and were less likely to be satisfied with the results of treatment. This finding was statistically significant in three of the four studies examining this relationship.

  • This apparent lack of consistency of results could indicate that, although the relationship between electrodiagnostic tests and treatment outcomes is statistically significant, it may not be substantial. The possibility that this relationship is small is supported by the results of stratified studies that examined the relationship between electrodiagnostic test results and global outcomes. Six of seven studies did not find a statistically significant relationship.

Question 5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with carpal tunnel syndrome?

  • The majority of available evidence is less than optimal because it consists primarily of retrospective studies. The highest quality study (prospective with multiple regression analysis) suggested that there was no statistically significant correlation between duration of symptoms and global outcome after surgery. One prospective and two retrospective stratified studies found similar results. Two retrospective studies (one performing multiple regressions, one stratified) found a statistically significant relationship between shorter duration of symptoms and symptom resolution or patient satisfaction after surgery. The retrospective nature of these trials could have created bias that influenced these findings. An additional high quality prospective study is needed before firm conclusions can be reached.

Question 6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with carpal tunnel syndrome?

  • The available evidence suggests that patients who are not receiving workers' compensation tend to return to work faster than those receiving such compensation. This is suggested by one of two “multiple regression” studies of this relationship and by a combination of 10 prospective and retrospective stratified studies. Evidence of a relationship does not constitute evidence of causality.

  • Some evidence also suggests that patients who are not receiving workers' compensation have better global outcomes, but this evidence is derived exclusively from retrospective studies. Therefore, these latter findings require confirmation.

  • Available evidence suggests that there is no strong relationship between gender, employment status, or hand dominance and return to work or global outcomes.

  • There is insufficient evidence to arrive at a firm evidence-based conclusion on the relationship between type of work, presence of diabetes, or age and patient outcomes.

Question 7: What are the surgical and nonsurgical costs or charges for treatment of carpal tunnel syndrome?

  • According to the Medicare Provider Analysis and Review (MEDPAR) database, which covers hospital inpatient services, average total charges per patient for the DRG (diagnosis-related group) of carpal tunnel release are $8,185.24 (calculated by dividing total charges by number of discharges). This DRG includes open and endoscopic release.

  • The Median Costs for Hospital Outpatient Services Dataset contains median costs for services that are reimbursed under Medicare for the hospital outpatient prospective payment system. The reported median cost for endoscopic release of the transverse carpal ligament is $849.84 (cost of open release was not reported by this database). The reported median cost for application of a short arm static splint is $72.69.

Question 8: For persons who have had surgery for carpal tunnel syndrome, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

  • No controlled trials have been published that report on the efficacy or effectiveness of any technique for the prevention of recurrence of carpal tunnel syndrome. In the absence of controlled trials, no analysis may be performed and no evidence-based conclusions may be drawn.

Question 9: What instruments, if any, can accurately assess functional limitations in an individual with carpal tunnel syndrome?

  • Three prospective cohort trials have indicated that the SF-36 is not a useful instrument for assessing functional limitations in individuals with carpal tunnel syndrome. The SF-36 was reported to be unresponsive to treatment and unable to predict ability to work.

  • Four prospective cohort trials have indicated that the Levine CTS-I may be a useful instrument for assessing functional limitations in individuals with carpal tunnel syndrome. This instrument was reported to be responsive to treatment, and to have concurrent validity as measured by grip and pinch strength. However, the studies that addressed the Levine CTS-I did not examine its internal reliability, content validity, or its ability to predict how well patients could perform activities of daily living. In addition, the Levine CTS-I has been reported by one study to be unable to predict ability to work.

  • No other instrument has been evaluated by more than one study. It is difficult to reach an evidence-based conclusion as to the usefulness of the other instruments evaluated in this report due to the limited evidence base.

Question 10: What are the functional limitations for an individual with carpal tunnel syndrome before treatment?

  • There is some evidence to suggest that most untreated patients with carpal tunnel syndrome have mild to moderate functional difficulties before treatment. However, this evidence is derived from only two studies comprised of a total of 51 patients. This is too few patients and too few studies to allow one to reach a firm evidence-based conclusion.

Question 11: What are the functional limitations of an individual with carpal tunnel syndrome after treatment?

  • Although studies of non-surgical therapies suggested that most patients experience only mild difficulty with functional activities after treatment, it is unclear whether the results of these two studies are generalizable to the larger patient population.

  • Studies with surgical outcomes suggested that most patients report no-to-moderate difficulty with functional activities (mean 1.4–2.6 on the Levine CTS-I) after surgery.

  • Although there were no statistically significant differences between specific patient groups, there was a trend toward more difficulty with functional activities among workers' compensation patients in surgical studies. This trend was based on the results of two studies.

  • The available data are insufficient to determine a cutoff point on measuring scales above which patients are unable to work.

Cubital Tunnel Syndrome

Question 1: What are the most effective methods and approaches for the early identification and diagnosis of cubital tunnel syndrome?

  • One test for cubital tunnel syndrome, ulnar motor nerve conduction velocity at the elbow, was commonly mentioned by reviewers. Three studies reported high specificity and low sensitivity for this test. Due to the small number of studies, however, one cannot draw quantitative conclusions about the effectiveness of the test. There are insufficient data to permit firm evidence-based conclusions about the effectiveness of this or any other tests for cubital tunnel syndrome.

Question 2: What are the specific indications for surgery for cubital tunnel syndrome?

  • Thirty-two studies of patients who received surgery for cubital tunnel syndrome were identified. The mean age of patients who received surgery for cubital tunnel syndrome was 46 years.

  • The patients were slightly more likely to be male (62% male).

  • On average, patients had symptoms 10 to 24 months before receiving surgical treatment.

Question 3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with cubital tunnel syndrome?

  • One randomized controlled trial of 52 patients found that medial epicondylectomy was superior to anterior transposition in relieving pain and in improving global outcome scores. The results of this study are suggestive, but one cannot arrive at a strong conclusion from the results of only one trial. There is insufficient evidence to determine the relative effectiveness of other surgical treatments.

  • There are insufficient data available to determine the rates of surgical complications for any of the described surgical procedures.

Question 4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with cubital tunnel syndrome?

  • The only clinical finding variable shown by more than one study to significantly predict treatment outcomes was severity of symptoms. This correlation was statistically significant in four out of seven studies that examined it. The studies that did not find a statistically significant correlation may have been underpowered. Therefore, currently available evidence tentatively suggests that there is a correlation between having less severe symptoms and having a higher global outcome score after surgical treatment for cubital tunnel syndrome.

  • There are insufficient data to reach evidence-based conclusions about the relationships between other clinical findings and treatment outcomes.

Question 5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with cubital tunnel syndrome?

  • Currently available evidence does not suggest a clear-cut relationship between the duration of symptoms before treatment and the success of surgery.

  • There are insufficient data available to reach evidence-based conclusions about the relationship between symptom duration and other treatment outcomes.

Question 6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with cubital tunnel syndrome?

  • The available data do not suggest a substantial correlation between the age, sex, or workers' compensation status of the patient and the success of surgery.

  • Two studies that used multiple regression to examine relationships between patient characteristics and treatment outcomes found that patients whose cubital tunnel syndrome is caused by an acute trauma have better outcomes after surgical treatment than patients with cubital tunnel syndrome from other causes. However, three studies that stratified by etiology found no statistically significant relationship between cause and patient outcomes. The studies that used multiple regression techniques are of better quality than the stratified studies. Thus, current data suggest that there may be a correlation between etiology and patient outcomes, but this cannot be regarded as definitive.

Question 7: What are the surgical and nonsurgical costs or charges for treatment of cubital tunnel syndrome?

  • According to Medicare Provider Analysis and Review (MEDPAR), average total charges per patient for the DRG (diagnosis-related group) of major shoulder/elbow procedures with comorbidities or complications are $9,008.94 (calculated by dividing total charges by number of discharges).

  • For the DRG shoulder, elbow or forearm procedures, except major joint procedures, without comorbidities or complications, average total charges per patient are $7729.16.

  • For the DRG peripheral and cranial nerve and other nerve procedures without complications or comorbidities, the average total per patient charges are $14,357.65 (with complications or comorbidities the charges are $24,288).

  • The Median Costs for Hospital Outpatient Services Dataset contains median costs for services that are reimbursed under Medicare for the hospital outpatient prospective payment system. The reported median cost for a decompression fasciotomy of the forearm and/or wrist is $603.85. The reported median cost for application of a long-arm splint is $80.48.

Question 8: For persons who have had surgery for cubital tunnel syndrome, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

  • None of the included studies addressed this question.

Question 9: What instruments, if any, can accurately assess functional limitations in an individual with cubital tunnel syndrome?

  • None of the included studies addressed this question.

Question 10: What are the functional limitations for an individual with cubital tunnel syndrome before treatment?

  • None of the included studies addressed this question.

Question 11: What are the functional limitations of an individual with cubital tunnel syndrome after treatment?

  • None of the included studies addressed this question.

Epicondylitis

Question 1: What are the most effective methods and approaches for the early identification and diagnosis of epicondylitis?

  • There are insufficient data to permit evidence-based conclusions about the effectiveness of any tests for epicondylitis. This is because the evidence base is small and heterogeneous.

Question 2: What are the specific indications for surgery for epicondylitis?

  • Nineteen studies of patients who received surgery for epicondylitis were identified. Due to a lack of reported data, few trends or characteristics of patients who received surgery could be identified. A typical patient who received surgery for epicondylitis was middle-aged and equally likely to be male or female.

Question 3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with epicondylitis?

  • Seven double-blinded randomized controlled trials compared laser therapy to sham laser therapy as treatment for epicondylitis. A meta-analysis of the results of the four studies that reported “success of treatment” did not reveal a statistically significant difference in outcome between laser and sham-treated patients.

  • The four studies that reported the effect of laser treatment on pain also did not find a statistically significant difference in outcome between laser and sham treated patients. However, EPC researchers were unable to perform a meta-analysis of the outcome pain and, because all of these studies were small, their individual results cannot be taken as definitive proof that laser therapy has no effect on the pain of epicondylitis.

  • Only one study examined work status of patients after laser treatment. This study was also small, and it failed to find a statistically significant effect of laser treatment on work status. The results of all seven small randomized double-blinded controlled trials are consistent with the results of our meta-analysis, and suggest that if there is an effect of laser therapy on epicondylitis, it is not large.

  • Two randomized controlled trials of a total of 62 patients compared oral naproxen to oral diflunisal. One study reported no statistically significant difference in outcomes when comparing patients treated with the two different drugs, and did not find a consistent trend in favor of one drug. The other study reported that diflunisal treatment consistently resulted in better outcomes. For two outcomes, pain and function, the difference reached statistical significance. Further studies are necessary to resolve discrepancies between these studies.

  • Two randomized controlled trials of 82 patients in total compared ultrasound treatment to phonophoresis of hydrocortisone as a therapy for epicondylitis. Neither study found a statistically significant difference between treatment groups for any of the outcomes. When interpreting these results, it is important to keep in mind that both studies may have been too small to be able to detect clinically relevant differences between treatment groups.

  • Three randomized controlled trials of 220 patients in total compared ultrasound treatment to sham ultrasound treatment or no treatment as a therapy for epicondylitis. All three of the studies reported a trend towards better outcomes in the groups treated with ultrasound. However, this difference reached statistical significance in only one of the studies. Although low statistical power may explain the negative results of the two “nonsignificant” studies, further research is required to demonstrate this.

  • Simply wearing an elbow brace is reported by two crossover studies to have no effect on pain. Because these two studies were of less than optimal design, further studies are necessary before a conclusion may be reached.

  • Two randomized controlled trials of a total of 134 patients evaluated the effect of acupuncture on epicondylitis. Both studies reported patients treated with acupuncture had better global outcomes and greater pain relief than patients treated with sham acupuncture at relatively short (2 weeks) followup times. Although only two studies evaluated this treatment, both were well-designed. It is possible to tentatively conclude that acupuncture is an effective palliative treatment for epicondylitis.

  • Two randomized controlled trials of a total of 203 patients compared oral NSAIDs to injections of corticosteroids. One study did not find a statistically significant difference between the groups. The other study reported that patients treated with injections of corticosteroids had better outcomes than the patients treated with oral NSAIDs. Design differences may explain the discrepancy between these studies' results, and further study is required to resolve this issue.

  • One double-blinded randomized controlled trial reported that patients treated with placebo had a trend towards better outcomes than patients treated with topical DMSO; however, this trend did not reach statistical significance. This study also reported that topical DMSO application caused clinically significant skin irritation. However, this trial was based on only 51 patients, so further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One randomized controlled trial of 128 patients compared oral diclofenac to placebo. The group treated with diclofenac had statistically significantly less pain than the placebo group, but the NSAID treatment had no statistically significant effect on hand/arm function, number of days of missed work, or global outcome. Oral NSAIDs were reported to occasionally cause gastrointestinal side effects. In the absence of a very large effect, it is difficult to reach a firm evidence-based conclusion from the results of a single trial of moderate size.

  • One double-blinded randomized controlled trial and one double blinded randomized crossover trial, of a total of 47 patients, compared topical diclofenac to placebo. One of the studies reported no statistically significant differences between the two groups for any of the outcomes. The other study reported that the group treated with the NSAID may have had some statistically significant benefit from the treatment. Researchers were unable to determine whether the differences in results between studies were due to differences in statistical power. Further studies are necessary to resolve discrepancies between these studies.

  • One randomized controlled trial of 40 patients compared topical diclofenac to topical salicylate, and reported that diclofenac was more effective for treating epicondylitis. Topical NSAIDs were reported to occasionally cause mild skin rashes. Further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One randomized double-blinded study reported that injections of glucosamines are effective in treating the symptoms of epicondylitis in the short term (less than 6 months) as measured by global outcome and patient-reported pain. However, injections of glucosamines were found to have a high rate of side effects—40% of patients experienced pain at the site of injection, and 6% developed hematomas at the site of injection. Further studies are necessary before a definitive evidence-based conclusion about the clinical utility of this treatment can be reached.

  • One randomized double-blinded study reported that injections of methylprednisolone plus lidocaine were statistically significantly more effective at treating pain than injections of lidocaine. Further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One randomized double-blinded study reported that injections of lignocaine plus triamcinolone were statistically significantly more effective at treating pain than injections of lignocaine or injections of lignocaine plus hydrocortisone. Further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One randomized double-blinded study reported that injections of triamcinolone plus bupivacaine were more successful at treating epicondylitis than injections of triamcinolone plus lidocaine. Further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One study reported a trend towards more successful treatment of epicondylitis after injections of methylprednisolone than after injections of hydrocortisone. However, this study was of less than optimal design, which makes it problematic to come to a definitive evidence-based conclusion on the basis of its results.

  • One study reported no difference in rates of successful treatment or number of work-days missed after treatment with injections of methylprednisolone as compared to injections of betamethasone plus lidocaine. This study had sufficient statistical power to have detected relatively small differences between treatment groups. However, design flaws in this study make it problematic to come to a definitive evidence-based conclusion on the basis of its results.

  • One study reported that wearing a brace regularly over the course of several months is not as effective in treating epicondylitis as is physiotherapy, but a different study reported that wearing a brace regularly in addition to physiotherapy may be more effective than physiotherapy alone. Further studies of these therapies are necessary before one can reach definitive evidence-based conclusions.

  • One retrospective case-controlled study compared fasciectomy, wide fasciectomy plus anconeus transfer, and re-operation of failed fasciectomy to include an anconeus transfer. However, because this was a single study of suboptimal design, one cannot reach a firm evidence-based conclusion about the relative efficacy of these procedures.

  • One non-parallel historically controlled trial reported that simple denervation led to statistically significantly better global outcome and greater pain relief than denervation plus decompression. However, because this was a single study of suboptimal design, one cannot reach a firm evidence-based conclusion about the relative efficacy of these procedures.

  • A single double-blinded randomized controlled trial of 30 patients reported that there were no statistically significant differences in the signs and symptoms of epicondylitis between patients treated with pulsed electromagnetic field therapy and patients receiving sham treatment. When interpreting the results of this trial, it must be kept in mind that the small size of the trial may have prevented the results from reaching statistical significance.

  • One randomized controlled trial reported that patients treated with extracorporeal shock wave therapy had statistically significantly greater improvements in pain and arm function than patients given sham treatment. However, it is difficult to reach firm evidence-based conclusions from the results of this trial because the lack of blinding and lack of intent-to-treat analysis of this trial may have affected its results.

  • One randomized controlled trial reported that patients treated with injections of corticosteroids had better outcomes than patients treated with manipulations and deep friction massage. Incomplete data and methods reporting from this trial make it problematic to reach any definitive evidence-based conclusions from its results.

  • One randomized controlled trial of 76 patients reported that patients treated with injections of corticosteroids had better outcomes than patients treated with braces or immobilization. Partly because of the small size of this trial, further studies are necessary before a definitive evidence-based conclusion can be reached.

  • One randomized controlled trial of 63 patients reported that patients treated with acupuncture had better outcomes than patients treated with corticosteroid injections. However, the results of this study may have been affected by patient selection bias because it enrolled only patients previously found to be unresponsive to injections of corticosteroids.

    Two randomized controlled trials, one comparing transcutaneous electrical nerve stimulation, ultrasound, phonophoresis, and injections of steroids, the other comparing physical therapy to ultrasound, reported no statistically significant differences between treatment groups. However, both trials may have been too small to be able to have detected clinically meaningful differences between treatment groups.

  • Five randomized controlled trials evaluated various combinations of therapies for the treatment of epicondylitis. One trial of 18 patients found that patients treated with manipulation plus a home exercise program had fewer difficulties in performing activities of daily living than patients treated with a combination of ultrasound, physiotherapy, and home exercise. The other four trials did not find statistically significant differences between treatment groups. However, these studies were small, which may have prevented them from detecting clinically important differences between the treatment groups.

Question 4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with epicondylitis?

  • One study reported that the site of pain could be used to predict response to treatment, one reported that the severity of pain could be used to predict response to treatment, and one reported that the timing of onset of symptoms (acute vs. gradual) did not correlate with the response to treatment. Because only one study addressed each outcome, it is difficult to reach firm evidence-based conclusions from the available data.

Question 5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with epicondylitis?

  • Seven studies examined whether duration of symptoms correlated with treatment outcomes. Only one of the four studies that employed multiple regression found a statistically significant relationship between symptom duration and outcomes, and this study was retrospective. One of three studies that stratified patients according to their duration of symptoms found a statistically significant correlation with treatment outcomes. As this study was also retrospective, evidence suggesting a relationship is contradictory and weak. Two prospective studies that employed multiple regression did not find such a relationship. Both were of patients who had received ultrasound. However, currently available evidence about use of ultrasound in patients with epicondylitis or de Quervain's disease does not allow firm evidence-based conclusions. A lack of treatment effectiveness could obscure potential relationships between symptom duration and treatment-related outcomes. Therefore, one cannot draw firm evidence-based conclusions from currently available data.

Question 6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with epicondylitis?

  • Three studies that used multiple regression found no statistically significant correlation between gender or age and response to treatment, suggesting that there is no strong relationship between these variables and patient outcomes.

  • One study found no statistically significant correlation between certain hobbies and response to treatment. However, it is difficult to reach evidence-based conclusions from the results of a single study.

  • The only study that examined co-morbidities reported that patients with co-existent ulnar neuropathy had significantly poorer outcomes than patients without ulnar neuropathy. However, it is difficult to reach evidence-based conclusions from the results of a single study.

Question 7: What are the surgical and nonsurgical costs or charges for treatment of epicondylitis?

  • According to Medicare Provider Analysis and Review (MEDPAR), average total charges per patient for the DRG (diagnosis-related group) of major shoulder/elbow procedures with comorbidities or complications are $9,008.94 (calculated by dividing total charges by number of discharges).

  • For the DRG shoulder, elbow or forearm procedures, excepting major joint procedures, without comorbidities or complications, average total charges per patient are $7729.16.

  • The Median Costs for Hospital Outpatient Services Dataset contains median costs for services that are reimbursed under Medicare for the hospital outpatient prospective payment system. The reported median cost for strapping of the elbow or wrist is $62.61. (cost of open release was not reported by this database).

Question 8: For persons who have had surgery for epicondylitis, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

  • No controlled trials addressed this question. Therefore, it was not possible to perform a reliable analysis, and one cannot draw firm evidence-based conclusions from the available data.

Question 9: What instruments, if any, can accurately assess functional limitations in an individual with epicondylitis?

  • Three studies evaluated two different instruments (PRFEQ and F-VAS) as ways to measure functional limitations of patients with epicondylitis. Neither assessment instrument has been shown to be a useful instrument for evaluating functional limitations in persons with epicondylitis. However, it is difficult to reach firm evidence-based conclusions about the instruments evaluated in this report due to the limited evidence base.

Question 10: What are the functional limitations for an individual with epicondylitis before treatment?

  • This question is addressed by only two studies comprised of a total of 82 patients. Although these studies suggest that epicondylitis patients have an average level of functional difficulty between 30% – 40% (mild to moderate) on functional status scales, the low number of studies and patients makes it difficult to arrive at an evidence-based answer to this question.

Question 11: What are the functional limitations of an individual with epicondylitis after treatment?

  • There were no studies that met the inclusion criteria for this question. Therefore, it cannot be answered in an evidence-based fashion.

De Quervain's Disease

Question 1: What are the most effective methods and approaches for the early identification and diagnosis of de Quervain's disease?

  • None of the included studies addressed this question.

Question 2: What are the specific indications for surgery for de Quervain's disease?

  • Two of the three studies that addressed this question reported that surgery was performed only on patients who did not benefit from conservative (non-operative) treatment. However, with so few studies and so many unreported patient characteristics, one cannot assume that the present data are representative of the larger patient population with de Quervain's disease.

Question 3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with de Quervain's disease?

  • Although one study found that corticosteroid plus lidocaine injection produced more treatment success than immobilization splints among de Quervain's patients, there were design problems with this study. Because of these problems, and because only one study addressed this question, it is difficult to reach firm evidence-based conclusions concerning the effectiveness of any treatment for de Quervain's disease.

Question 4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with de Quervain's disease?

  • This question was addressed by only one relatively small retrospective study. This study found no relation between presence of a septated first dorsal compartment and treatment outcome. However, it is difficult to reach evidence-based conclusions from the results of a single study of suboptimal design.

Question 5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with de Quervain's disease?

  • This question was addressed by only one relatively small retrospective study. This study found no relation between duration of symptoms and treatment outcome. However, it is difficult to reach evidence-based conclusions from the results of a single study of suboptimal design.

Question 6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with de Quervain's disease?

  • This question was addressed by only one relatively small retrospective study. This study found no relation between age, gender or occupational status and treatment outcome. However, it is difficult to reach evidence-based conclusions from the results of a single study of suboptimal design.

Question 7: What are the surgical and nonsurgical costs or charges for treatment of de Quervain's disease?

  • According to the Medicare Provider Analysis and Review (MEDPAR) database, which covers hospital inpatient services, average total charges per patient for the DRG (diagnosis-related group) of hand or wrist procedures (excepting major joint procedures) without complications or comorbidities are $7,408.14 (calculated by dividing total charges by number of discharges).

  • The Median Costs for Hospital Outpatient Services Dataset contains median costs for services that are reimbursed under Medicare for the hospital outpatient prospective payment system. The reported median cost for application of a short arm static splint is $72.69.

Question 8: For persons who have had surgery for de Quervain's disease, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

  • None of the included studies addressed this question.

Question 9: What instruments, if any, can accurately assess functional limitations in an individual with de Quervain's disease?

  • None of the included studies addressed this question.

Question 10: What are the functional limitations for an individual with de Quervain's disease before treatment?

  • None of the included studies addressed this question.

Question 11: What are the functional limitations of an individual with de Quervain's disease after treatment?

  • None of the included studies addressed this question.

Non-Treatment-Specific Questions

Question 12: What are the cumulative effects on functional abilities among individuals with more than one worker-related musculoskeletal disorder of the upper extremity in the same limb?

  • There were no studies that met the inclusion criteria for this question. Therefore, it cannot be answered in an evidence-based fashion.

Question 13: What level of function can patients achieve in what period of time when they are required to change hand dominance as a result of injury to their dominant hand?

  • The studies of the ability of training to improve use of the non-dominant hand do not allow one to determine the degree to which this training provides the patient with employment opportunities or allows resumption of normal activities. These studies also lack long-term followup data. Evidence from two studies suggests that some learning and training in the use of the non-dominant hand is possible, and statistically significant improvement can be accomplished in 2 to 6 months of training. For some activities, statistically significant improvement can be accomplished within 1 week.

Future Research

In general, the literature addressing WRUEDs is of uneven quality. Well-designed studies on many aspects of WRUEDs are needed. Prospective, randomized double-blinded controlled trials are widely considered to provide the highest quality of evidence for treatment effectiveness. Results of non-randomized trials can be affected by differences in the characteristics of the patient groups, rather than the treatment applied. Uncontrolled trials do not allow one to ascertain whether patients improve in the absence of treatment, and they do not allow one to accurately gauge the magnitude of any change that occurs after treatment. Blinding of patients and evaluators to treatments avoids the potential for placebo effects and previously held beliefs about the effectiveness of treatments to impact on the results of trials.

Studies of diagnostic tests do not necessarily need not be randomized or contain control groups. In the absence of a “gold standard” test, longitudinal studies are the most desirable for assessing diagnostic tests for WRUEDs. In these studies, patients are first given the diagnostic test, and then they are followed for a period of time to determine whether they develop symptoms of a WRUED. Repeating the tests at regular intervals during the trial could yield insights into the etiology of the conditions as well as measure test-retest variability. If a “gold standard” test were developed, then single-arm cross-sectional studies that compared the results of the “gold standard” test to the results of the test under investigation would be appropriate. In such studies, in order to obtain the most useful information, it is important to select a patient population that closely resembles the general population on whom the diagnostic test would ultimately be used.

Chapter 1. Introduction

Scope and Objectives

Worker-related upper-extremity disorders (WRUEDs) result in pain, disability, and loss of productivity. This report is a systematic analysis of the evidence pertaining to thirteen key questions and four specific disorders. These disorders are considered worker-related not because they are necessarily caused by working, but because they effect workers.

Conditions of Interest

Although a wide variety of WRUEDs have been described in the medical literature, this report is limited to four. They are:

  • Carpal tunnel syndrome

  • Cubital tunnel syndrome

  • Epicondylitis

  • De Quervain's disease

Key Questions

This report addresses 13 questions regarding worker-related disorders of the upper extremity. Eleven of these are condition specific. Therefore, we individually address them for each of the disorders we consider. Questions 12 and 13 are not condition-specific. Therefore, they are answered only once. The questions we address are:

Condition-Specific Questions:

Question #1: What are the most effective methods and approaches for the early identification and diagnosis of worker-related musculoskeletal disorders of the upper extremity?

Question #2: What are the specific indications for surgery for worker-related musculoskeletal disorders of the upper extremity?

Question #3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with worker-related musculoskeletal disorders of the upper extremity?

Question #4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #7: What are the surgical and nonsurgical costs or charges for treatment of worker-related musculoskeletal disorders of the upper extremity?

Question #8: For persons who have had surgery for worker-related musculoskeletal disorders of the upper extremity, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

Question #9: What instruments, if any, can accurately assess functional limitations in an individual with a worker-related disorder of the upper extremity?

Question #10: What are the functional limitations for an individual with a worker-related musculoskeletal disorder of the upper extremity before treatment?

Question #11: What are the functional limitations of an individual with a worker-related musculoskeletal disorder of the upper extremity after treatment?

Non-Condition-Specific Questions:

Question #12: What are the cumulative effects on functional abilities among individuals with more than one worker-related musculoskeletal disorder of the upper extremity in the same limb?

Question #13: What level of function can patients achieved in what period of time when they are required to change hand dominance as a result of injury to their dominant hand?

Worker-Related Upper-Extremity Disorders

Carpal Tunnel Syndrome

Carpal tunnel syndrome (CTS) results from compression of the median nerve as it passes through the carpal tunnel from the wrist to the hand. This leads to progressive sensory and motor disturbances.

Signs and Symptoms

Symptoms of CTS include paresthesia (tingling), anesthesia (numbness), diminished or altered sensation (hypoesthesia or dysesthesia) in the affected area of the hand; pain in the hand and arm, and/or the impairment of motor function, particularly of the abilities to grip and grasp.2 Usually the symptoms appear first (and worst) at nighttime.3 In about 1% of cases, permanent nerve damage results, resulting in impaired use of the hands.4 Continued denervation can lead to atrophy of the innervated muscle.5

Anatomy

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   Figure 1. Location of the carpal tunnel

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   Figure 2. Structures associated with carpal tunnel syndrome

The median nerve is a mixed sensory and motor nerve that supplies the thumb, all of the index and middle fingers, and part of the ring finger. It enters the hand on the palmar side of the wrist, through a narrow, rigid, osteoligamentous passageway (the carpal tunnel, see Figure 1) that is bordered on three sides by the carpal bones and on the other by the flexor retinaculum (or transverse carpal ligament). The median nerve shares the carpal tunnel with nine flexor tendons that displace the nerve to the superficial (palm-most) side of the tunnel, directly against the transverse carpal ligament (See figure 2). The nerve is the softest and most sensitive element in the tunnel. Anything that decreases the size of the tunnel or increases the size of its contents can cause CTS. This may include space-occupying lesions, arthritis, trauma, edema, and dislocation of the lunate bone.

Etiology

Carpal tunnel syndrome is often idiopathic. The most common attributed cause of CTS is tenosynovitis or hypertrophy of the tendon sheaths of the finger flexor tendons due to overuse, often from the repetitive hand motions associated with certain occupations.6, 7 Assemblers, cashiers, and secretaries are among those most prone to the disease, with data-entry keyers, typists, and office clerks also at high risk.4 It is not clear, however, whether occupational activities cause or merely contribute to development of CTS.8 Female sex, middle age, diabetes, alcoholism, hypothyroidism, obesity, pregnancy, menopause, and the use of birth control pills are all associated with CTS.9

CTS is associated with several conditions. Rheumatoid involvement in the wrist joint may lead to carpal tunnel compression.3 Bone growth due to acromegaly may lead to shrinking of the carpal tunnel and median nerve compression.10 Patients receiving hemodialysis may develop CTS because of edema or amyloid deposits in the carpal tunnel.7, 11 Tissue deposits due to gout may also cause or exacerbate CTS.12

Carpal tunnel syndrome may be exacerbated by other nerve injuries, such as at the neck, shoulder, elbow, or by generalized peripheral neuropathies. This phenomenon, known as double-crush syndrome,13 has not been definitively established to exist, and remains controversial.14 Comorbidities causing peripheral neuropathy such as diabetes or thyroid disturbances may both exacerbate CTS and interfere with its diagnosis.15–18 CTS associated with pregnancy, childbirth and lactation may resolve spontaneously.19

Epidemiology

The overall prevalence of CTS in the United States may be as high as 1.9 million people, and each year there are 300,000–500,000 operations for the condition, at a total cost of more than $2 billion.20 There are no widely accepted figures for the fraction of cases requiring surgery. Estimates range from nearly half of all CTS patients with occupational disease to a “small percentage” of all patients.20

The incidence of CTS is higher in women than in men, and differences in carpal tunnel volume between men and women may contribute to these differences.21 Idiopathic CTS occurs in women three to five times more frequently than in men.22 Many of the occupations associated with CTS are held disproportionately by women, and several of the causal medical conditions are found more often in women than in men.20 In addition, the prevalence for men generally increases steadily with increasing age while, for women, the prevalence peaks dramatically during middle age (45–55 years of age) and then levels off.23, 24

About 60% of cases are seen in patients between 40 and 60 years of age.25 Whites have been reported to have a 1.8 times higher prevalence of carpal tunnel syndrome than do non-whites.26

The U.S. Bureau of Labor Statistics reported 29,937 cases of CTS that resulted in work days lost in 1996, and the National Institute of Occupational Safety and Health (NIOSH) reported that, in 1993, CTS occurred at a rate of 5.2 per 10,000 full-time workers. This syndrome required the longest recuperation period of all conditions that result in lost work days, with a median of 30 work days lost.4 A study of all surgeries performed to treat carpal tunnel syndrome in Wisconsin from July 1990 to March 1993 found that 75% of the individuals had only one surgery, 24.7% had two surgeries, and 0.3% had three or more surgeries. Workers' Compensation paid for 26.1% of these surgeries.23

Diagnosis

Diagnosis of carpal tunnel syndrome is complicated by the fact that there is no “gold standard” method for verifying its presence or absence.27 A variety of diagnostic instruments have been used by investigators including clinical signs, sensory tests, nerve conduction studies, and imaging tests. It is not known which modality or combination of modalities are optimal for the diagnosis of carpal tunnel syndrome.

Most clinical tests to diagnose carpal tunnel syndrome involve specific maneuvers that elicit pain, numbness, or tingling in the median-nerve portion of the wrist. For example, in Phalen's test, the patient places both elbows on a horizontal surface with the forearms vertical, and allows the wrists to flex by gravity. If the patient feels numbness or tingling within one minute, the test is positive.28 In Tinel's test, the examiner taps lightly on the palmar aspect of the wrist, over the carpal tunnel. If the patient feels tingling, the test is positive.29

Sensory tests for carpal tunnel syndrome typically involve measurement of a patient's threshold for detection of a sensory stimulus. For example, in the Semmes-Weinstein test, the examiner touches the patient with monofilaments, and the test is positive if the patient's sensitivity to the monofilaments falls outside normal limits.30 Another example is the two-point discrimination test in which the examiner touches two closely-spaced prongs to the patient's fingers. The test is positive if the patient cannot discriminate the prongs when they are 5 millimeters apart.31

Nerve conduction tests are also used to diagnose CTS. In such tests, electrodes are placed in two locations along a nerve; the nerve is stimulated from one electrode, and the impulse is recorded from the other electrode. Tests can be performed on either the median nerve, ulnar nerve, or radial nerve, and can assess either motor or sensory function. The placement of electrodes in sensory nerve conduction tests can be either orthodromic (in which stimulating electrodes are placed distal to recording electrodes) or antidromic (in which stimulating electrodes are placed proximal to recording electrodes). Other aspects of the nerve impulse can also be measured such as latency, amplitude, and velocity. Some investigators compare two or more nerve conduction tests in an attempt to assist the diagnosis of carpal tunnel syndrome (e.g., compute a difference between two latencies). We refer to these comparisons as composite nerve conduction tests.

Imaging tests for carpal tunnel syndrome include magnetic resonance imaging (MRI), computed tomography (CT), scan x-ray film, and ultrasound. Using these methods, investigators attempt to measure the size of anatomical areas within the carpal tunnel or other areas that may be affected by carpal tunnel syndrome.

Treatment
Conservative treatment

Nonsurgical interventions that have been used to treat CTS include wrist splints, avoidance of precipitating activities, anti-inflammatory drugs, vitamin B6, diuretics, ultrasound, injection of anti-inflammatory steroids and physical therapy.17, 32–36 Treatment of comorbid conditions contributing to CTS may also be effective.37, 38

Surgical treatment

The standard surgery for CTS is the transection of the transverse carpal ligament.39 This transection may be accomplished by endoscopic or open surgery. For virtually all patients it is an outpatient procedure performed in an ambulatory surgical center under regional anesthesia, but a few patients request general anesthesia. A variety of endoscopic techniques have been reported.40–46 Variations in technique include the specific types of equipment used and whether the technique requires one or two incisions. No published evidence is available quantifying the relative advantages and disadvantages of the various methods.

Additional procedures, such as ligament repair or neural surgery may also be used. Ligament reconstruction involves the reattachment of the transected ends of the transverse carpal ligament in such a way that the overall ligament is lengthened. This results in an enlargement of the carpal tunnel and relief of the pressure on the median nerve.47–49

Neural surgery for CTS (external or internal neurolysis or epineurotomy) is generally performed immediately following the division of the transverse carpal ligament. The term “neurolysis” is used to encompass several different procedures.50 These include removal of adhesions from the connective tissue surrounding the nerve (the epineurium), relieving pressure within the epineurium by means of a longditudinal incision, or removal of a segment of epineurium. There is confusion due to the nonstandard usage of terms, compounded by the different subspecialties and nationalities of surgeons. The common goal in all techniques is to remove adhesions and scar tissue to decompress the nerve and allow it to glide freely.

Cubital Tunnel Syndrome

Patients with cubital tunnel syndrome are affected by a weak grip, lack of hand coordination, hand clumsiness, and numbness, paresthesia, and pain in the hand, particularly in the fourth and fifth digits. These symptoms are thought to be caused by compression of the ulnar nerve at multiple sites in the area of the elbow, where the nerve passes through an anatomically restricted area called the cubital tunnel.

Signs and symptoms

Patients presenting with cubital tunnel syndrome usually complain of a weak grip, hand clumsiness and lack of coordination, and dropping of objects. Numbness and paresthesia in the fourth and fifth digits may also be present, in particular after prolonged flexion of the elbow.51 Pain in the hand may be present, but is neither as severe or as common as in carpal tunnel syndrome.52 The medial aspect of the elbow may be painful.53 Severe cases may present with atrophy of the intrinsic muscles and clawing of the fourth and fifth fingers.51

Diagnosis

Upon examination, patients with cubital tunnel syndrome are positive for Tinel's sign (tingling in the fingers after tapping over the ulnar nerve at the elbow), and the ulnar nerve may feel swollen and hard upon palpation.52 In addition, patients have diminished sensation in the fourth and fifth digits (pin-prick or Semmes-Weinstein monofilament testing), weak intrinsic hand muscles, a progressive inability to separate the fingers, and a loss of power grip and dexterity.53 Patients with more advanced cases may exhibit a positive Wartenberg's sign (upon extension of the fingers abduction of the fifth digit occurs) and/or a positive Froment's sign (patient cannot pinch between the index finger and thumb without flexion of the distal phalanx of the thumb).53

Electrodiagnostic tests can be used to confirm a lesion of the ulnar nerve, and to help locate the exact site of compression. Two examples of such tests are motor and sensory conduction velocities across the elbow.54, 55 For motor conduction velocity, stimulating electrodes are placed above and below the elbow, and a recording electrode is placed on the abductor digit minimi (a muscle in the hand that is innervated by the ulnar nerve).54 The measured latencies, along with the measured distances between stimulating and recording electrodes, are used to compute the motor conduction velocity in the across-elbow portion.54 For sensory conduction velocity, the ulnar nerve can be stimulated below the elbow and recorded above the elbow (this placement of electrodes is termed orthodromic because the stimulating electrode is distal to the recording electrode).54 Alternatively, the electrodes can be reversed to yield an antidromic sensory measurement.55 Regardless of whether orthodromic or antidromic placement is employed, the latencies and distances are used to calculate the sensory conduction velocity across the elbow.54, 55

Cubital tunnel syndrome can be confused with compression of nerves at other points. Cervical root lesions, such as compression of the eighth cervical root by a bulging disc, may produce symptoms similar to that of cubital tunnel syndrome.56 Other nerve compression disorders that may produce symptoms similar to that of cubital tunnel syndrome included compression of the medial components of the brachial plexus (thoracic outlet syndrome), compression of the ulnar nerve at the wrist in Guyon's canal (ulnar tunnel syndrome), and compression of the ulnar nerve at more than one point.56

Anatomy

The ulnar nerve carries nerve fibers from the eighth cervical and first thoracic nerves. It passes down the upper arm medial to the brachial artery, then passes through the intermuscular septum and travels towards the elbow near the medial head of the triceps. At the elbow, the ulnar nerve passes behind the medial epicondyle of the humerus in a groove between it and the heads of the flexor carpi ulnaris, the cubital tunnel. The ulnar nerve then enters the forearm between the two heads of the flexor carpi ulnaris muscle and enters the hand.57–59 It is not until the ulnar nerve passes between the two heads of the flexor carpi ulnaris muscle that it begins supplying motor and sensory innervation. It supplies motor innervation to the muscles of the forearm and hand, and sensory innervation to the medial half of the hand, the palm, and the fourth and fifth digits.57

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof3.jpg.

   Figure 3. The cubital tunnel and associated structures

The groove that the ulnar nerve passes through at the elbow is referred to as the cubital tunnel. This tunnel is bounded by the medial epicondyle of the humerus anteriorly (See Figure 3), the ulnohumeral ligament laterally, and posteromedially, a fibrous arcade of fascial strands that extends from the olecranon to the medial epicondyle, bridging the two heads of the flexor carpi ulnaris muscle.57, 58 Under normal conditions, the capacity of the ulnar tunnel is greatest during elbow extension. Flexion of the elbow decreases the volume of the cubital tunnel by tightening the arcuate ligament, bulging of the medial elbow ligament, and contraction of the flexor carpi ulnaris muscle.58

Inside the cubital tunnel, the motor fibers to the flexor carpi ulnaris and flexor digitorum profundus are located deep inside the ulnar nerve, while the motor fibers to the hand muscles and sensory fibers to the fingers are located more superficially. This peripheral location places these fibers to the hand at increased risk of damage from compression, and accounts for their early involvement in the development of cubital tunnel syndrome.56

Etiology

Cubital tunnel syndrome is caused by compression of the ulnar nerve within or near the cubital tunnel. The site of entrapment of the ulnar nerve in the region of the elbow can occasionally occur in locations other than the cubital tunnel, including proximal to the elbow by the medial head of the triceps (the arcade of Struthers), at the elbow by the arcuate ligament, or in the mid-forearm by the flexor carpi ulnaris muscle.53 Chronic reduction in volume of the cubital tunnel results in compression damage and focal ischemia of the nerve. Compression of the ulnar nerve within the cubital tunnel is most often due to constriction of the nerve by the overlying fibrous arcade. Compression can be caused by repetitive trauma, inflammation, idiopathic thickening of Osborne's band, arthritis, hematomas, tumors, bone fragments, and idiopathic persistent epitrochleoanconeus muscle.57, 59 Fractures, dislocations, and direct blunt trauma near the elbow can cause acute compression of the ulnar nerve.59 Cubital tunnel syndrome can be precipitated by general anesthesia, and is thought to be related to compression of the ulnar nerve caused by poor limb positioning, tourniquets, and/or blood pressure cuffs.58, 59 Systemic diseases such as diabetes, kidney disease, amyloidosis, acromegaly, alcoholism, hemophilia, and leprosy can contribute to the development of cubital tunnel syndrome.58

In many patients, no precipitating event can be identified. Compression of the ulnar nerve can be the end result of a pathological cycle of chronic irritation of the nerve. Mild irritation of the nerve can causeinflammation and swelling. These processes restrict movement of the nerve through the cubital tunnel. Failure of the ulnar nerve to slide smoothly during elbow flexion and extension causes the nerve to be stretched, and to rub against surrounding surfaces, damaging the nerve and surrounding tissues, leading to more inflammation, swelling, and the formation of adhesions between the nerve and surrounding tissues, which further restricts nerve movement. Eventually this process leads to chronic compression of the nerve.59 Activities thought to result in repetitive trauma to the ulnar nerve include habitual leaning on the elbow, sleeping with the arms flexed, or performing repetitive elbow flexion-extension motions.

Epidemiology

The incidence and prevalence of this disorder has not been established. In Connecticut, 3% of claims for Workers' Compensation for occupational disorders of the upper extremity were reported to be for cubital tunnel syndrome.60 Cubital tunnel syndrome affects men 1.3 to 3 times more often than women.61, 62 Thin women (BMI<22) are reported to have a greater prevalence of cubital tunnel syndrome than heavier women. No association between BMI and cubital tunnel syndrome has been reported for men.61

Treatment
Conservative treatment

The choice of how to treat cubital tunnel syndrome is based upon the severity of symptoms upon presentation. Mild cases are usually treated by minimizing elbow flexion through behavioral changes and splinting, minimizing direct pressure on the elbow using pads and pillows, and reducing inflammation with non-steroidal anti-inflammatory drugs (NSAIDs). If symptoms are severe, or do not respond to conservative treatment, then surgery may be performed.63

Surgical treatment

Surgical techniques used to relieve the compression of the ulnar nerve can be divided into three categories: decompression, epicondylectomy, and transposition of the ulnar nerve.

Decompression is the simplest of the procedures and usually involves cutting the tissues that form the roof of the cubital tunnel.64 The tissues commonly cut during decompression are the medial intermuscular septum, the arcade of Struthers, the superficial fascia, and the deep flexor pronator aponeurosis. Decompression can be performed through an open incision or by endoscopic techniques.65 Cutting the tissues in this fashion is thought to relieve the compression on the nerve that is causing the problem.

Medial epicondylectomy consists of removal of the medial epicondyle, and reattachment of the flexor-pronator muscle groups to the site of removal.66 Decompression is usually performed at the same time. Removal of the epicondyle is thought to allow greater anterior migration of the ulnar nerve upon elbow flexion.63

Transposition of the ulnar nerve describes several different procedures, all of which reposition the ulnar nerve outside of the cubital tunnel, anterior to the medial epicondyle.67 Moving the nerve in this fashion is thought to decrease or eliminate nerve tension and avoid further irritation and compression of the nerve.67 Subcutaneous transposition refers to shifting the ulnar nerve and forming a sling of fascia to hold it in place.68 The nerve can also be placed in a trough inside the flexor-pronator muscle mass (intramuscular transposition). Submuscular transposition (the Learmonth procedure) involves detaching the flexor-pronator muscle mass from the medial epicondyle, moving the ulnar nerve anteriorly and underneath the flexor-pronator muscle to lie on the brachialis fascia near the median nerve, and then re-attaching the flexor-pronator muscles to the epicondyle. Sometimes when using this technique the flexor-pronator muscle is elongated to prevent tension from being placed on the underlying ulnar nerve.69

Epicondylitis

Patients with epicondylitis experience pain at the elbow. The pain is localized over the affected epicondyle, and becomes severe upon use of the affected muscles when grasping objects.

Signs and symptoms

The chief complaint of patients affected by epicondylitis is an insidious onset of elbow pain. The pain is described as dull and aching when at rest, but becomes sharp and severe upon use of the affected muscles when grasping objects.70 There is tenderness upon palpation over the affected epicondyle. In severe cases, the afflicted person may complain of grip weakness. Upon resisting wrist extension (flexion, for medial epicondylitis), severe pain occurs at the affected epicondyle.53

Diagnosis

Diagnosis of epicondylitis is reached by clinical exam and history. In addition to pain upon resisted wrist extension, other clinical signs of epicondylitis include pain upon resisted supination of the forearm, reduced grip strength, and pain upon resisted extension of the middle finger.71–73 In clinically diagnosed cases that do not improve with conservative management, MRI of the elbow has been used to clarify the diagnosis and assess the degree of tendon disease.74

Anatomy

Epicondylitis refers to pain in the area where the muscles of the forearm attach to the epicondyle of the elbow, pain that is worsened by use of these muscles. Epicondylitis is divided into two distinct syndromes: lateral and medial epicondylitis. Lateral epicondylitis, also referred to as tennis elbow, refers to pain in the attachment of the extensor muscles, most commonly the insertion of the extensor carpi radialis brevis tendon, into the lateral epicondyle. Medial epicondylitis, also referred to as golfer's elbow, refers to pain in the attachment of the flexor muscles of the forearm to the medial epicondyle. Lateral epicondylitis is more common than medial epicondylitis.75

A tendon attaches muscle to bone or fascia. The power of the muscle contraction is transmitted down the tendon and causes the attached bone to move. The site of attachment of the tendon to the bone is thus subject to considerable force with each contraction of the muscle.76 Tendonitis and tenosynovitis refer to disorders of the tendon and the synovial membrane of the tendon sheath, respectively. Although historically inflammation was thought to be the pathology underlying tendonitis, chronic degenerative changes in the tendon and synovial tissue appear to be the predominant pathological processes.53, 77

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof4.jpg.

   Figure 4. Structures associated with lateral epicondylitis

The exact pathology that underlies epicondylitis is not known.70 The problem appears to be confined to the tendinous and fascial attachments to the bone (See Figure 4). The tendons become dull, gray, friable, and edematous. The normal tendon fibers become disrupted by invading fibroblasts and granulation tissue.78 Adhesions may form between the tendon and surrounding tissues. The extensor carpi radialis brevis tendon appears to be most often affected because it is intimately attached to the joint capsule, and because of this proximity adhesions readily form between it and the joint.

Etiology

Lateral epicondylitis is thought to be a degenerative process caused by overuse of the wrist extensors. Repetitive strong synergic and fixator action of the wrist extensors during gripping are believed to result in minor trauma to the muscle attachment to the epicondyle.75 Continued muscle use prevents healing. Medial epicondylitis is thought to be a similar process affecting the flexor, rather than the extensor, muscles. Forceful, repetitive motions of the forearm are thought to be the initial precipitating factor.79

Epidemiology

Epicondylitis has been reported to affect 4.23 individuals per 1000 adults per year in the U.S.80 The mean age of diagnosis is 45 years, and men and women appear to be equally affected.80 Lateral epicondylitis is six times more common than medial epicondylitis.80 Individuals who have been diagnosed with carpal tunnel syndrome have a greater prevalence of lateral epicondylitis than do those without carpal tunnel syndrome.81 Persons who engage in forceful, repetitive forearm work such as mechanics, butchers, and construction workers have a higher prevalence of the condition than the general population.82

Treatment
Conservative treatment

Initial treatment of epicondylitis usually involves rest and massage. In addition, a number of conservative therapies are used to treat epicondylitis. These are briefly described below.

Pharmacologic treatments for epicondylitis include NSAIDs, either taken orally or applied topically, topical dimethyl sulfoxide (DMSO), injections of glucocorticoid steroids, injections of anesthetics, and oral glucosamines.

Rest, ice, massage, physiotherapy, manipulations, splints, braces, and exercise programs are commonly used when treating epicondylitis.

Other treatments for epicondylitis include acupuncture, low level red or infrared lasers, ultrasound, phonophoresis, transcutaneous electrical nerve stimulation (TENS), extracorporal shock-wave therapy (ESWT), and pulsed electromagnetic fields (PEMF).

Surgical treatment

Table 1. Surgical procedures used to treat epicondylitisa
CategoryType of surgery
DenervationComplete denervation
Partial lateral denervation
Partial ventral denervation
Nerve decompressionDecompression of thePIN
Decompression of the radial nerve
Combination of denervation and decompression of the PIN
Lengthening of the ERCBDistal lengthening of the ECRB
Proximal lengthening of the ERCB
Removal of tissuesIncision of the ERCB
Partial resection of the annular ligament (Bosworth technique)
Epicondylar osteotomy
Epicondylectomy and excision of the distal portion of the annular ligament
Excision of subtendinious pathological tissue
Excision of the subcutaneous tissue
Excision of the radiohumoral bursa
Fasciectomy of the common extensor origin
Fasciectomy plus anconeous transfer
Debriding of the elbow join
a

Adapted from Wilhem et al.84

PIN = posterior interosseus nerve

ERCB = extensor carpi radialis brevis tendon

Surgery is not generally a first-line treatment for epicondylitis. However, in cases that are resistant to more conservative treatments, a variety of surgical techniques have been used. Some of the techniques are listed in Table 1. They can be broken down into four broad categories: denervation, nerve decompression, excision of various tissues, and lengthening of the extensor tendon (ERCB).83

De Quervain's Disease

Signs and Symptoms

De Quervain's disease is characterized by pain localized on the radial border of the wrist that may also radiate into the thumb and forearm.85 The pain is usually worsened by abduction and/or extension of the thumb.53 Other symptoms may include weakness of the thumb and loss of grip. Range of motion of the wrist and thumb is usually unaffected or only slightly limited.85

Anatomy

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof5.jpg.

   Figure 5. Structures associated with De Quervain's disease

De Quervain's disease is a stenosis (thickening) of the fibrous sheath of the first extensor compartment of the extensor retinaculum.86 This compartment surrounds two tendons, the extensor pollicis brevis and the abductor pollicis longus (See Figure 5). In the past, de Quervain's disease has been described as a type of stenosing tenosynovitis of the hand and wrist. Because recent studies have shown that there is no inflammatory process associated with de Quervain's disease, some experts believe that the term tenosynovitis is not accurate for describing this condition.53, 86

Etiology

Possible etiologic factors include acute trauma, recurrent trauma, or an underlying collagen disease.87

Epidemiology

De Quervain's disease appears most frequently in the 30 to 50 year age group and has been reported to be 10 times more common among women than men.85 Work occupations commonly associated with this condition include musicians, weavers, typists, nurses, knitters, golfers, switchboard operators, and manual workers.53, 85 However, there is disagreement among experts as to whether these types of work cause de Quervain's disease or merely exacerbate the symptoms.53, 86 Anatomic variations of the first extensor compartment have also been reported to be associated with de Quervain's disease.86

Diagnosis

Diagnosis of de Quervain's disease is usually accomplished by the Finkelstein test. While the patient flexes the thumb within the palm while holding it tightly with the other fingers, the examiner performs an ulnar deviation of the patient's wrist. Intense pain on the styloid process of the radius indicates a positive test. The pain disappears after the thumb is released and extended.85 Additional diagnostic criteria include patient-reported pain at the radial wrist and tenderness to palpation at the radial wrist.53

Treatment
Conservative treatment

A number of conservative therapies have been used to treat de Quervain's disease. These include workplace modification, hand rest, neutral wrist splinting with a thumb spica, anti-inflammatory medication, and iontophoresis.53 If these therapies fail, injection of cortisone may be used to supplement splinting and anti-inflammatory medication.

Surgical treatment

Persistent pain after four to six weeks of conservative therapy is usually considered an indication for surgery.85, 87 This procedure consists of unroofing the retinaculum to release the abductor pollicis longus and extensor pollicis brevis tendon sheaths.87 As noted earlier, anatomic variation exists in that these tendon sheaths may be contained in one or two compartments. Reported complications of surgery include radial sensory nerve injury and painful surgical scarring.88

Chapter 2. Methodology

Conditions of Interest

This evidence report is concerned with worker-related upper extremity disorders. The term “worker-related” implies a disorder that affects workers, not a disorder caused by work. In this report, we address four specific disorders: (1) carpal tunnel syndrome, (2) cubital tunnel syndrome, (3) epicondylitis, and (4) de Quervain's disease. This list of disorders was determined during discussions among ECRI, the Agency for Healthcare Research and Quality (AHRQ), the organizations that nominated this topic to AHRQ, and a panel of technical experts. Below, we provide further details about the nominating organizations and technical experts.

Technical Experts

Technical Experts were employed to assist in defining the scope of this evidence report, developing its questions, and developing the criteria for retrieving and including articles. Seven organizations were solicited to nominate individuals who could serve as Technical Experts. All solicitations were pre-approved by AHRQ. All seven organizations nominated an individual. Thus, the Expert Panel was comprised of individuals from the American Association of Electrodiagnostic Medicine, the American Academy of Neurology, the American Academy of Physical Medicine and Rehabilitation, the American Physical Therapy Association, the Association for Repetitive Motion Syndromes, the American Association of Neurological Surgeons, and the American Academy of Orthopedic Surgeons. The participation of these individuals and organizations does not imply their endorsement of the findings of this evidence report.

Key Questions

To determine the specific questions that this evidence report would address, a multidisciplinary team was assembled. This team included ECRI research staff, AHRQ project staff, representatives from the organizations that nominated this topic to AHRQ (the Social Security Administration and the American College of Occupational and Environmental Medicine), and the Technical Experts. The key questions for this report were decided during three conference telephone calls between ECRI, AHRQ, the experts, and the nominating organizations, as well as subsequent discussions between ECRI, AHRQ, and the nomination organizations.

The final set of key questions is comprised of 13 questions, 11 of which are separately addressed for the four above-mentioned disorders. The remaining two questions are not disorder specific. This evidence report is correspondingly organized. Thus, we first address each of the 11 questions for each disorder, beginning with carpal tunnel syndrome, and conclude by addressing the two questions that are not disorder-specific.

Condition-Specific Questions

The 11 condition specific questions that we address in this report are:

Question #1: What are the most effective methods and approaches for the early identification and diagnosis of worker-related musculoskeletal disorders of the upper extremity?

Question #2: What are the specific indications for surgery for worker-related musculoskeletal disorders of the upper extremity?

Question #3: What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with worker-related musculoskeletal disorders of the upper extremity?

Question #4: Is there a relationship between specific clinical findings and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #5: Is there a relationship between duration of symptoms and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #6: Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

Question #7: What are the surgical and nonsurgical costs or charges for treatment of worker-related musculoskeletal disorders of the upper extremity?

Question #8: For persons who have had surgery for worker-related musculoskeletal disorders of the upper extremity, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

Question #9: What instruments, if any, can accurately assess functional limitations in an individual with a worker-related disorder of the upper extremity?

Question #10: What are the functional limitations for an individual with a worker-related musculoskeletal disorder of the upper extremity before treatment?

Question #11: What are the functional limitations of an individual with a worker-related musculoskeletal disorder of the upper extremity after treatment?

Non-Condition-Specific Questions

The two questions that are not condition specific are:

Question #12: What are the cumulative effects on functional abilities among individuals with more than one worker-related musculoskeletal disorder of the upper extremity in the same limb?

Question #13: What level of function can one achieve in what period of time when one is required to change hand dominance as a result of injury to his or her dominant hand?

Causal Pathway

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   Figure 6. Causal Pathway

The scope of this report can be illustrated by a causal pathway. More specifically, this pathway illustrates the key questions and the relationships among them. It also illustrates items that are beyond the scope of this evidence report. This pathway is shown in Figure 6. The rectangles in this figure depict the primary clinical “events”, from presentation of a patient (who has certain characteristics that may be at least partly diagnostic and/or prognostic) to the outcomes that the patient experiences (e.g., improves/does not improve). That this, in fact, is a pathway that proceeds in a certain chronological order is depicted by solid arrows that connect the rectangles in Figure 6. Because these arrows connect two rectangles, they are termed “links.” The numbers next to each link represent the numbers of the Key Questions that address that link. Key Question 7 is not shown in the pathway because it is concerned with costs and, therefore, is not part of the clinical pathway.

The dashed lines in the figure “overarch” several rectangles. We have drawn these lines as dashed because they do not depict the sequence of events in the clinical pathway. In general, these lines portray Key Questions about how patient characteristics (including clinical findings) may influence a patient's movement through the clinical pathway or whether these characteristics influence outcomes.

Theoretically, one can derive a key question by drawing a line between any two rectangles in Figure 6. Therefore, rectangles not connected by solid or dashed lines are beyond the scope of this evidence report.

Literature Searches

Our searches for information were designed to produce a comprehensive dataset. Therefore, we searched a number of electronic databases and other sources. These are described below.

Electronic Database Searches

We searched 31 electronic databases. These databases were:

CISILO Database (International Occupational Safety and Health Information Centre) (through November 2000)

The Cochrane Database of Systematic Reviews (through 2000, Issue 4)

The Cochrane Registry of Clinical Trials (through 2000, Issue 4)

The Cochrane Review Methodology Database (through 2000, Issue 4)

CRISP (Computer Retrieval of Information on Scientific Projects) (through November 16, 2000)

Cumulative Index to Nursing and Allied Health (CINAHL) (1988 through September 29, 2000)

Current Contents (through December 2000)

The Database of Reviews of Effectiveness (Cochrane Library) (through 2000, Issue 4)

DIRLINE (through September 27, 2000)

ECRI Health Devices Alerts (1977 through January 2001)

ECRI Health Devices Sourcebase (through January 2001)

ECRI Healthcare Standards (1975 through January 2001)

ECRI International Health Technology Assessment (IHTA) (1990 through January 2001)

ECRI Library Catalog (through January 2001)

ECRI TARGET (ECRI's database of emerging technologies; through January 2001)

Embase (Excerpta Medica) (1974 through December 12, 2000)

ERIC (Educational Resources Information Center) (searched June 28, 2000)

Health and Psychosocial Instruments (HAPI) (through January 30, 2001)

Health Services Research Projects (HSRPROJ) (through September 27, 2000)

HealthSTAR (Health Services, Technology, Administration, and Research) (1990 through September 26, 2000)

LocatorPlus (through January 2001)

NIOSHTIC (through November 3, 2000)

Old Medline (1957 -1965) (searched September 27, 2000)

PsycINFO (1967 through January 22,2001)

PubMed (1966 through January 22, 2001)

Rehabdata (through November 2000)

SciSearch (through November 13, 2000)

U.K. National Health Service (NHS) Economic Evaluation Database (NHS EED) (through January 2001)

U.S. Health Care Financing Administration (HCFA) (through January 2001)

U.S. National Guidelines Clearinghouse (NGC) (through January 2001)

U.S. National Institutes of Health Web site (NIH) (through January 2001)

World Wide Web Searches

To further ensure that this evidence report was comprehensive, we also searched the World Wide Web using various resources and search engines including AltaVista, NorthernLight, and Google. These resources included:

American Academy of Orthopedic Surgeons http://www3.aaos.org

American College of Occupational and Environmental Medicine (ACOEM) http://www.acoemwebapps.org/gov/welcomeNS.asp

Association for Repetitive Motion Syndromes (ARMS) http://www.certifiedpst.com/arms/

Canadian Centre for Occupational Health and Safety (CCOHS) http://www.ccohs.ca/

Centre for Clinical Effectiveness http://www.med.monash.edu.au/publichealth/cce/

Development Evaluation Committee http://www.hta.nhsweb.nhs.uk/rapidhta/main.htm

ErgoWeb http://www.ergoweb.com/

HCUPnet http://www.ahcpr.gov/data/hcup/hcupnet.htm

Medscape http://www.Medscape.com

National Institute for Occupational Safety and Health (NIOSH) http://www.cdc.gov/niosh/homepage.html

NHS Centre for Reviews and Dissemination http://www.york.ac.uk/inst/crd/welcome.htm

Safety and Health Statistics, Bureau of Labor Statistics http://stats.bls.gov/oshhome.htm

SUM Search http://sumsearch.uthscsa.edu/searchform4.htm

TRIP Database http://www.tripdatabase.com/

Other Sources

In addition to the above searches, we also reviewed the bibliographies and reference lists of all studies included in this evidence report, searched Current Contents—Clinical Medicine on a weekly basis, and routinely reviewed over 1,600 journals and supplements maintained in ECRI's collections.

United States Cost/Reimbursement Data

We searched four additional U.S. government datasets solely to obtain information about costs. These were:

2001 Physician Fee Schedule. This Health Care Financing Administration (HCFA) dataset contains fees and limiting charges for physician services under Medicare in 2001.

Median Costs for Hospital Outpatient Services Dataset. This HCFA dataset contains median costs, by HCPCS codes, for services reimbursed under the hospital outpatient prospective payment system. The data are calculated based on 1996 hospital outpatient claims.

Medicare Provider Analysis and Review (MEDPAR). This HCFA dataset contains information for 100% of Medicare beneficiaries using hospital inpatient services. The data are provided by state and then by diagnostic related group (DRG) for all short stay and inpatient hospitals for fiscal years 1990-1996. Data include total charges, covered charges, Medicare reimbursement, total days, number of discharges, and average total days.

Hospital Outpatient Prospective Payment System. This HCFA dataset contains rules for payment of outpatient services provided by hospitals or affiliated organizations under hospital control. The system is based on ambulatory payment classifications (APCs). This classification system groups services both clinically and by resource utilization.

Search Strategies

The systematic nature of the searches for information for an evidence report is a means of diminishing reviewer bias during the preparation of a report. This systematic nature is reflected in our strategies for searching PubMed/Medline and HCUPnet for ICD-9 procedure codes and CPT codes, diagnostic related groupings (DRGs), ambulatory related groupings (ARGs), and HCPS codes. These strategies are detailed in Appendix A.

Article Retrieval Criteria

To be included in this evidence report, an article had to meet two sequentially applied sets of a priori criteria. The first set determined whether a full article would be retrieved. The second set, which was based on major study design flaws and certain elements specific to each question, determined whether a retrieved article would be included in the report. To facilitate comprehensive article retrieval, the retrieval criteria were designed to be broad.

The abstracts of articles identified by our searches were reviewed against the retrieval criteria to determine whether we would retrieve an article identified by our searches. This task was independently performed by six research analysts, each of whom individually worked on different questions. We retrieved an article whenever there was uncertainty about whether it met the retrieval criteria. We also retrieved articles when an abstract was not present in the search results, but when the title of the article suggested that it was relevant.

The criteria for article retrieval were:

  • All patients, or a separately reported subset of patients in any given article, had to be diagnosed with a worker-related disorder of the upper extremity. No restrictions were placed on the patient populations in clinical trials of conservative or surgical treatments that were retrieved for this analysis. For studies addressing condition-specific key questions, patients had to be diagnosed with the specific disorder of interest.

  • All controlled trials were retrieved, regardless of whether they were described as randomized or prospective. There was no cutoff date for year of publication. Included in the retrieved articles were those that compared a treatment to a placebo, sham, or untreated group and those that compared two or more treatments.

  • Case series and other reports were evaluated only if published in 1980 or later. This was an arbitrary cut-off date set to exclude case series using obsolete techniques and outdated patient selection criteria.

  • Case series had to enroll 10 or more patients. Studies with less than 10 patients are unlikely to be representative of the range of patients with the disorder being evaluated.

  • Only English-language articles were retrieved.

Inclusion Criteria

Once an article was retrieved, it was examined to determine whether it suffered from a major design flaw and whether it met certain question-specific criteria. When an article was excluded, the research analysts entered a unique article identifier and the reason(s) for exclusion into an electronic data abstraction form (DAF).

When an article was included, the unique identifier and details about the studies results, design, and enrolled patient population were entered in these forms. Additional details about the DAFs are provided below.

Many of our exclusions were made because an article contained a significant design flaw. To avoid redundancy, we do not list these flaws here. Rather, we provide a listing of the major design flaws used to exclude articles in the sections of this report in which we evaluate the quality of the literature. Below, we provide the inclusion criteria that are unique to each question:

Question 1. What are the most effective methods and approaches for the early identification and diagnosis of worker-related musculoskeletal disorders of the upper extremity?

Studies meeting the retrieval criteria were included:

  • Only if they reported sensitivity and specificity or provided sufficient data to allow us to compute these measures of test performance.

  • If they did not use obsolete tests (e.g., first- and second-generation CT scanners).

  • Regardless of whether they were prospective or retrospective.

  • Regardless of whether they contained a concurrent control group. Use of controlled and particularly randomized controlled studies is exceedingly rare in the evaluation of any diagnostic test. Often, such controls are not needed because the patients can validly serve as their own controls.

Question 2. What are the specific indications for surgery for worker-related musculoskeletal disorders of the upper extremity?

To address this question, we tabulated the characteristics of patients enrolled in clinical studies. Doing so does not require any particular study design, and this is reflected in our inclusion criteria. Thus, among the studies that met the retrieval criteria, we included:

  • Controlled trials and case series of surgical patients

  • Studies in which not all patients received surgery were included, but only if characteristics of patients receiving surgery were reported on separately.

  • Studies that did not exclusively enroll patients with co-morbidities not routinely encountered during routine clinical practice (e.g., patients with amyloidosis).

Question 3. What are the relative benefits and harms of various surgical and nonsurgical interventions for persons with worker-related musculoskeletal disorders of the upper extremity?

Among studies meeting the retrieval criteria we included:

  • Controlled studies, regardless of whether they were randomized or blinded.

  • Studies that were not exclusively dedicated to comparing highly similar treatment variations (such as incision shape).

  • Studies that reported on at least one of the seven key outcomes addressed in this assessment. The outcomes are: pain, function, quality of life, ability to return to work, ability to return to activities of daily living, harms, and global outcome.

Question 4. Is there a relationship between specific clinical findings and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

We evaluated controlled trials and case series that attempted to correlate patient-oriented outcomes with specific clinical findings, patient characteristics or duration of symptoms. It is not feasible to conduct randomized controlled trials that address this question because, by definition, one cannot fully randomize patients with different pretreatment clinical findings into different groups. Therefore, the inclusion criteria adopted for this question were:

  • Studies that evaluated the relationship of pretreatment clinical findings and outcomes using multiple linear or logistic regression.

  • Studies that statistically compared the outcomes of patients stratified across some pretreatment clinical finding.

  • Studies reporting patient-level data were included when the data were presented in enough detail to allow us to perform independent multiple regression analyses.

  • Studies that reported on at least one of the seven key outcomes addressed in this assessment. The outcomes are: pain, function, quality of life, ability to return to work, ability to return to activities of daily living, harms, and global outcome.

  • Studies that examined a simple correlation between a given pretreatment variable and outcomes were included, even if they did not attempt to control for the effects of other predictor variables. However, we only included such studies if there were at least three studies that attempted to correlate the same outcome with the same predictor variable. We adopted the arbitrary criterion of requiring three correlational studies because, when taken individually, interpretation of such studies is difficult. This is because they do not contain information about potential inter-variable multicolinearity.

Question 5. Is there a relationship between duration of symptoms and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

The criteria used for this question were identical to those used for Question 4.

Question 6. Is there a relationship between factors such as patients' age, gender, socioeconomic status and/or racial or ethnic grouping and specific treatment outcomes among patients with worker-related musculoskeletal disorders of the upper extremity?

The criteria used for this question were identical to those used for Question 4.

Question 7. What are the surgical and nonsurgical costs or charges for treatment of worker-related musculoskeletal disorders of the upper extremity?

Cost and charge information from large national databases was included.

Question 8. For persons who have had surgery for worker-related musculoskeletal disorders of the upper extremity, what are the most effective methods for preventing the recurrence of symptoms, and how does this vary depending on subject characteristics or other underlying health problems?

  • Controlled trials of any design (RCTs, prospective non-randomized, and retrospective) were included.

Question 9. What instruments, if any, can accurately assess functional limitations in an individual with a worker-related disorder of the upper extremity?

For inclusion in this question, a study meeting the retrieval criteria had to be:

  • A case series or controlled study that measured the validity, response to treatment, or test-test reliability of the assessment instrument.

  • A study not exclusively devoted to measuring the internal consistency of an instrument. Although internal consistency is important in instrument development, it does not directly address the ability of an instrument to predict functional limitations.89

  • A study of an instrument designed to evaluate patient function. Instruments that only evaluated symptoms or that were primarily designed to aid in diagnosis were not included.

  • A study of an instrument that enrolled patients with one of the four specific disorders of interest.

Question 10. What are the functional limitations for an individual with a worker-related musculoskeletal disorder of the upper extremity before treatment?

In addressing this question, we tabulate functional limitations. Answering this question does not require randomized controlled trials. Therefore, our inclusion criteria for studies meeting the retrieval criteria were:

  • All studies, regardless of design

  • Studies that measured functional disability using one of the instruments identified in Question 9

  • Studies that exclusively enrolled patients with one of four conditions of interest.

  • Studies reporting on functional ability using portions of these instruments or minor variations of these instruments were included as well.

  • Study must not have enrolled patients who received prior treatment.

Question 11. What are the functional limitations of an individual with a worker-related musculoskeletal disorder of the upper extremity after treatment?

This question is similar to Question 10 and, therefore, identical inclusion criteria were employed except for the one requiring that patients must not have had prior treatment. To be included for Question 11, the study must have been of patients who received prior treatment.

Question 12. What are the cumulative effects on functional abilities among individuals with more than one worker-related musculoskeletal disorder of the upper extremity in the same limb?

The criteria for this question were identical to those used for Question 11, except that the study must have reported data on the patient population relevant to Question 12.

Question 13. What level of function can one achieve in what period of time when one is required to change hand dominance as a result of injury to his or her dominant hand?

This question also does not depend on randomized controlled trials. Therefore, we included any retrieved study, regardless of design, that employed any test of functional ability in patients required to change hand dominance as a result of injury to the dominant hand.

Electronic Data Abstraction Forms

Data from all articles that met our inclusion criteria were abstracted using electronic data abstraction forms. These forms were created using Microsoft Access. Using this software, separate data abstraction forms were designed for entering data about basic trial design information; patient signs, symptoms, comorbidities, characteristics, and treatments; reporting of treatment outcomes; surgical complications; and nerve conduction measurements. The data abstraction forms are presented in the appendix B.

The abstraction form for trial information contained information on trial design, purpose, author, year of publication, general diagnosis of patient condition, a specific description of the treatment outcomes examined, inclusion and exclusion criteria, and other important information with which to judge the quality of the trial. One record containing a unique trial identification number appears for each trial entered in the database.

The abstraction form for patient characteristics and treatments was designed to contain information on each patient group within a trial. A separate record containing a unique patient group identification number appears for each patient group within a trial. This form contained entries for treatment given to the patient group, stratification of patient groups based on pretreatment characteristics, number of patients in the group, specific descriptions of patient treatment, and patient characteristics such as age, dropouts, signs, symptoms, disease severity and duration of symptoms prior to treatment.

Abstraction forms with similar design were created to contain information on treatment outcomes. Separate abstraction forms were needed for dichotomous, categorical and continuous outcome data. These forms contained entries for the patient group identification number, number of patients reporting the outcomes, and time the outcome was measured. A separate record was entered for each patient group and each follow up time for which an outcome was reported.

Special forms were designed for symptoms, comorbidities, complications, and results of diagnostic tests.

Because diagnostic trials differ from treatment trials in many important ways, several special forms were used in the abstraction of diagnostic data, and irrelevant sections of the other data abstraction forms were not completed.

One clinical trial information form and one diagnostic clinical trial information form were completed for each study; not all of the fields in the clinical trial information form were relevant to the diagnostic studies. One patient groups—diagnostics and characteristics form was completed for each patient group or subgroup in each study. Most articles from which we abstracted data reported on two groups; some reported more. One diagnostic test information form was completed for each diagnostic test result reported in each study. Because separate forms were completed for each test parameter reported (e.g. distal motor latency v. distal sensory latency), most studies required more than one form and several required 30 or more forms. One study reported 57 different tests.90

Articles Identified

Table 2. Number of articles Included for Each Key Question
Question #Carpal TunnelCubital TunnelEpicondylitisDe Quervain's
118920100
214532193
3443501
4121131
551471
6211561
80000
98030
102020
1112000
Table 3. Coding of Patient Inclusion Criteria
CodeDefinition
WRUED groups
Symptoms/presentedPatients had unspecified symptoms of the disorder being studied, or were referred for diagnosis of suspected WRUED
Simple signs/symptomsPatients included if they had specified symptoms of the disorder, but other tests such as nerve conduction tests were not used for patient selection
Simple NCSPatients included if they had abnormal results in a specific nerve conduction test or tests (no more than three tests in selection algorithm)
Complex objective standardA specified algorithm with more than three nerve conduction studies or combining specific NCS tests with specific symptoms
Unspecified (diagnosed)Authors reported that all patients had been diagnosed with the disorder in question, but did not detail how the diagnosis was defined
OtherDetails reported in separate database field
Control groups
Healthy volunteersSubjects drawn from hospital or community populations, and not being evaluated for other upper extremity disorders
Workers at riskAsymptomatic individuals considered to be at risk for WRUED
Unrelated diseaseSubjects were being evaluated or treated for known abnormalities of the hand or wrist unrelated to WRUEDs
Contralateral armUnaffected contralateral extremity of persons with diagnosed WRUED
OtherDetails reported in separate database field
Table 4. Coding of Diagnostic Test Groups
Test groupIncluded tests
Imaging testsRadiography (film x-ray), computed tomography, MRI, ultrasound
Nerve conductionAmplitude, latency, and velocity of signal conduction in median and ulnar nerves
Composite nerve conductionDifferences and ratios of nerve conduction test results
Signs and symptomsPhalen's maneuver, reverse Phalen maneuver, Tinel's sign, Durkin (carpal compression) test, sensory diagrams
Sensory testsSemmes-Weinstein monofilament test, vibrometry, current perception threshold
Table 5. Coding of Results Reporting Level
Reporting levelDefinition
Patient-levelResults for each patient reported individually. This includes studies where patient-level results were reported in a graph rather than a table. Where possible, ECRI research analysts
CountsSufficient data to yield a two-by-two truth table relating test results to another condition (usually patient's assignment to disease or control group)
Summary statisticsMean and standard deviation of results for all patients in the group
Agreement or differenceStatistics reporting agreement or difference between results of one test and another, but not the results themselves
Technical criteriaAccuracy, precision, and reproducibility of the test results, but not the results themselves.
Table 6. Coding of Studies of Special Interest
CharacteristicDefinition
Longitudinal dataStudy reported repeated measurements on the same subjects, from which information on the progression of the condition can possibly be derived
Early diagnosisStudy reported that it was intended to identify early-stage disease. For purposes of this assessment, we relied on the authors' own definitions of “early diagnosis” and did not try to validate that validate that description.
Screening studyStudy included at least one group of subjects that can be considered a screening population (e.g. asymptomatic individuals whose work entails repetitive movements).
Our searches identified 7,312 articles. Of these, 1270 were clinical trials. The number of articles included for each question is shown in Table 2.

For the two questions that were not condition specific, Questions 12 and 13, we included 0 and 2 articles, respectively. Question 7 is not depicted in the above table because we addressed it using information from a national database, not published articles.

Evaluating Literature Quality

Because this is a “best evidence” synthesis, we incorporated studies that represented the best available evidence, not the best possible evidence. Therefore, not all evidence that we included is of equal quality.

The quality of studies of treatments that we evaluated can be ranked according to the following hierarchy:

Randomized controlled trials

Other prospective controlled trials

Retrospective controlled trials, including those with historical control groups

Prospective case series

Retrospective case series

The hierarchy, like any evidence hierarchy, is only a rough guide. As noted above, randomized controlled trials are not necessary for some of the questions (among which are questions about diagnostics) that we addressed. In such cases, this hierarchy is not applicable. Therefore, for these questions, we discuss the dimensions along which we evaluated the quality of the literature when we address that question. These discussions appear in the appropriate Internal Validity sections under each of these questions.

Statistical Methods

Meta-Analysis of Studies of Treatment

Meta-analyses of studies of treatments were conducted using Hedges' d as a measure of each study's effect size, and then computing the precision-weighted summary d from the combined results of all studies.91 Hedges' d is the difference between the means of any study's two groups expressed in standard deviation units. We performed meta-analyses on data from studies of treatments only when four or more controlled studies of a given treatment reported the same outcome. We did not perform meta-analyses of smaller data sets because of the high potential for publication bias to affect their results.

For computation of effect sizes derived from dichotomous outcomes, we converted the odds ratio to Hedges' d as described by Hasselblad and Hedges.92 For computation of effect sizes derived from rating scale data, we calculated a mean for each group as described by Torgenson (his equations 71–78).93 An advantage of this method is that it does not assume that all patients employ exactly the same boundaries for each category in a rating scale.

We employed two tests for heterogeneity, the Q statistic and each study's standardized residual. We regarded the data as heterogeneous if the results of either test was statistically significant. When we detected heterogeneity, we analyzed the data for sources of heterogeneity. It was not always possible to find a source, particularly when there were only a small number of studies in the meta-analyses. These models were computed using a modified method of moments.94 To further assist in interpreting the results of our meta-analyses, we present the results of our fixed effects models in terms of Forrest plots and as a pair of normal curves. Each curves represents the distribution of results in a study's two groups. The difference between the means of these two normal curves represents d, the effect size. We quantified the degree of the non-overlap of these two curves using the [union or logical sum] statistics described by Cohen95, and have expressed these results in terms of the overlap between these curves.

Meta-Analysis of Diagnostic Studies

Diagnostic test meta-analyses were done according to the method of Littenberg and Moses.1 Meta-analyses of diagnostic studies were performed only when there were 10 or more retrieved trials of a given test. We adopted this criterion to ensure that this evidence report would focus on the tests for which there is the greatest research interest. We have taken the mean threshold as the best estimate of a single threshold, and the values of sensitivity and specificity at the mean threshold as the single best global estimate of test effectiveness.

Before using the results of a meta-analysis, we verified that there was no statistically significant heterogeneity among the results of the included articles. This was accomplished, using the Q statistic, as described by Hasselblad and Hedges.92 The presence of heterogeneity indicates that something other than threshold is affecting sensitivity and specificity, and that the points on an ROC curve are not derived from the same population of sensitivity/specificity pairs. If heterogeneity was detected, we removed any subgroups that caused the heterogeneity from the analysis. If there were no subgroups in the analysis, or those subgroups did not cause the heterogeneity, we looked for data points that were outliers, and reported the meta-analytic results with and without exclusion of these outliers.

Meta-analysis results of diagnostic tests are reported both in table and graphical form. Tables list each study in the meta-analysis, its 2 × 2 data, and any special steps ECRI had to take in abstracting that data. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) are also reported in those tables, along with confidence intervals on each of these ratios, calculated according to Wilson's method.96 Finally, the prevalence of WRUED cases in each study is reported. The last row of the results table provides the sensitivity/specificity at mean threshold results of the meta-analysis, along with the sensitivity and specificity of the points representing the 95% confidence interval on the mean threshold point. Summary values for PPV and NPV are not calculated in the meta-analysis because they are dependent on disease prevalence. Meta-analysis results graphs include the summary ROC itself, the confidence interval and the sensitivity/specificity data points for each included article. The diagonal line in each graph represents the performance of a test that worked no better than chance.

Some investigators based their diagnostic thresholds on results obtained in a control population of individuals without the condition, typically setting a threshold at 2.0 or 2.5 standard deviations from the mean test score of the controls. When the actual number of positive and negative results in the control subjects was reported in the article, we used that data in the meta-analysis. In cases where these numbers were not reported, we assumed a normal distribution of test results in the control subjects, and calculated the theoretical number of false positives and true negatives based on the one-tailed normal distribution. If the threshold was two standard deviations from the mean, one expects false positive results in 2.275% of controls; if the threshold was 2.5 standard deviations, then false positives should make up 0.621% of the control group. The appropriate percentage was multiplied by the number of control subjects and rounded to the closest whole number of patients to get counts for the 2 × 2 table. If the number of controls given the study test was not reported, the article was excluded from analysis even though we knew test specificity from the reported threshold. This is because actual counts of false positives and true negatives are needed to obtain confidence intervals on specificity and the predictive values.

Other Computations

We performed numerous other statistical computations in addition to those involved in performing meta-analyses. We describe these calculations and the logic behind them in our considerations of the appropriate questions. Briefly, these calculations included:

  1. Corrections for attrition; Following all patients for the duration of a study is difficult, particularly when the study is relatively long term. It is possible that in some studies, poor outcomes among patients lost to followup could overturn the results of a study, including those of a well-designed randomized controlled trial. Therefore, wherever possible, we made conservative assumptions about outcomes in patients who were not accounted for in an effort to determine how robust reported results were. This approach is preferable to one that ignores attrition and to one that discards such studies that exceed an arbitrary attrition level. The former approach could lead to incorrect conclusions and the latter can lead to information loss.

  2. Statistical power analyses; Studies that do not contain a sufficient number of patients cannot detect statistically significant differences between groups, even when these differences are clinically meaningful. Therefore, whenever possible, we computed the minimum between-group difference that any given controlled study had the power to detect.

  3. Multiple regression; For certain questions, the results of multiple regressions were of interest, but such analyses were not conducted by the authors. We therefore conducted these analyses when t-patient-level data were available.

  4. Computations of effect sizes for all studies, when possible, even when no meta-analysis was performed. Results of statistical tests (p-values) do not convey information about the magnitude of an effect. To provide an idea about this magnitude, we computed effect sizes for all controlled studies, wherever such computations were possible.

  5. Determinations of whether there were statistically significant differences between the characteristics of patients in any given study. Although studies may report that they were randomized, it is sometimes the case that the randomization protocol was not adequately followed or the study was not truly randomized. These departures from randomization can manifest themselves in pretreatment between-group differences in patient characteristics.

  6. Computation of pretreatment effect sizes. Departures from randomization can also manifest themselves as a statistically significant difference in the outcome between groups prior to the administration of treatment. For example, if the pain levels experienced by patients were significantly different before treatment, one might suspect that the study was not truly randomized.

  7. Verification of 2 × 2 tables reported in studies of diagnostic tests. Because peer-reviewed published articles often contain errors in reported results, we attempted to verify the calculations in each article. If an error was found, we corrected the data and included it in the analysis. If we could not verify the 2 × 2 table, the article was excluded. These exclusions are documented in the text of this report.

Peer Review

To select peer-reviewers for the draft evidence report, ECRI prepared a list of 30 potential reviewers. This list was submitted to AHRQ, which approved all reviewers. Letters inviting these individuals to review were then mailed. Fifteen individuals responded to these letters, 12 individuals agreed to review the draft evidence report, and 9 individuals returned reviews.

Upon receipt of reviews, ECRI revised the draft report accordingly. ECRI also prepared a document describing the disposition of all substantive reviewer comments and supplied this document to AHRQ for review and approval.

Chapter 3. Results

Carpal Tunnel Syndrome

Question #1: What are the most effective methods and approaches for the early identification and diagnosis of carpal tunnel syndrome?

Our response to this question is comprised of a subsection on early diagnosis and a subsection on studies of diagnosis of carpal tunnel syndrome, in general. These two subsections follow our evaluation of the internal validity and generalizability of the available relevant literature. Following these two subsections, is a subsection on screening.

The subsection on early diagnosis is the most direct answer to this question, and in it we examine all articles described by their authors as pertaining to early diagnosis of these conditions. However, there are only a few such articles, and we therefore expand our response to diagnosis in general on the grounds that a “good” diagnostic method may also be a “good” method for making an early diagnosis. Ultimately, though, this reasoning is inferential, and conclusive evidence about whether a “good” diagnostic method is also useful for making an early diagnosis can only be derived by studies that directly address this issue.

The evaluation the diagnostic tests we consider is, as with any such test, greatly complicated by the absence of an independent “gold standard” test for any of the upper extremity disorders we address .27 With no independent reference standard whose results are definitive, clinical trials of diagnostic tests for these disorders generally report differences in test results between a group of patients believed to have the condition and a group believed not to have it. Because determinations of who has and does not have the disorder are imperfect (for example, persons who do not have CTS may have symptoms of another condition that mimics CTS), it is impossible for such studies to draw accurate conclusions on how well any test performs.

The definitions of the groups being compared in these studies can also affect results by introducing spectrum effects to the study population. Criteria for selecting patients withWRUEDs may result in inclusion of only clear-cut cases of the condition, thus excluding mild cases that would be harder to diagnose. Selection criteria for patients without WRUEDs may result in inclusion of only those in ideal health, excluding those with early-stage cases of an upper extremity disorder. Together, these spectrum effects amplify the differences that are found in these studies. Thus, their results may not be applicable to the population most likely to get a test in routine practice: persons in high risk groups or with questionable symptoms.

Table 7. Clinical Signs and Symptoms Used to Diagnose CTS
TestDefinition
Closed fist test101The patient makes a fist. If the patient feels tingling within one minute, the test is positive.
Combined Phalen's and Durkan's test102With the patient's elbow extended, the forearm in supination, and the wrist flexed to 60 degrees, the examiner uses one thumb to apply pressure over the carpal tunnel. If the patient feels tingling or numbness within 30 seconds, the test is positive.
Decreased muscle strength103Maximum force exerted by the patient on a measurement device.
Durkan compression test104This test is also called the carpal compression test. With the patient's wrist in a neutral position and the forearm supinated, the examiner uses his/her thumbs to compress the wrist at the median nerve. If the patient feels numbness or tingling within 30 seconds, the test is positive.
Flick test105The patient is asked: “What do you do with your hands when your symptoms are at their worst?” If the patient shakes or flicks the hands, the test is positive.
Gilliat tourniquet test106The examiner inflates a blood pressure monitor on the patient's arm proximal to the elbow. If the patient feels numbness or tingling within one minute, the test is positive.
Grip strength107Force measured when patient squeezes a measurement device using the whole hand.
Hypesthesia103Also called hypoesthesia. It refers to decreased sensitivity to touch.
Pain on VAS108Pain as measured by a visual analog scale in which the patient rates the subjective degree of pain by placing a mark on a graphical bar.
Paresthesia in APB109Tingling in the abductor pollicus brevis muscle of the hand.
Phalen's test28This test is also called the wrist flexion test. The patient places both elbows on a horizontal surface with the forearms vertical, and allows the wrists to flex by gravity. If the patient feels numbness or tingling within one minute, the test is positive.
Pinch strength107Force measured when patient squeezes a measurement device using the thumb and a finger
Symptoms measured systematically29Any symptoms of carpal tunnel such as pain, tingling, or numbness, as measured by a questionnaire or a hand diagram.
Symptoms during ultrasound110Whether the patient experiences carpal tunnel symptoms when the wrist is stimulated with an ultrasound transducer.
Reverse Phalen's test111This test is also called the wrist extension test. The patient extends both wrists and fingers. If the patient feels numbness or tingling within two minutes, the test is positive.
Thenar atrophy103The degree of wasting in the thenar muscle of the hand.
Thenar weakness31The degree of weakness in the thenar muscle of the hand.
Tinel's test29This test is also called Hoffman-Tinel's test. The examiner taps lightly on the medial aspect of the wrist. If the patient feels tingling, the test is positive.

Sources: Massy-Westrop112 and ECRI review of clinical trial articles

Table 8. Sensory tests for Diagnosis of CTS
TestDefinition
Current perception113Whether the patient's threshold for perception of electrical current is within normal limits.
Moving two-point discrimination107The examiner touches two closely-spaced prongs to patient's fingers and moves them distally. The test is positive if the patient cannot discriminate the prongs when they are 4–6 millimeters apart.
Object identification114The patient blindly feels wooden shapes and is asked to identify them.
Pinprick sensation109Whether the patient has normal pinprick-induced sensation.
Pressure measurement115Whether the patient's threshold for perception of pressure is within normal limits.
Ridge threshold116The patient places an index finger on a circular disc that has a small ridge. If the patient's threshold for detection of the ridge is abnormal, the test is positive.
Semmes-Weinstein monofilament30This test is also called the von Frey hairs test. The examiner touches the patient with a series of standardized nylon monofilaments, and records the smallest monofilament the patient can detect the presence of.
Static two-point discrimination31The examiner touches two closely-spaced prongs to patient's fingers and holds them still. The test is positive if the patient cannot discriminate the prongs when they are 5 millimeters apart.
Temperature measurement117Whether the patient's threshold for perception of temperature, heat pain or cold pain is within normal limits.
Tuning fork30The examiner hits a metal tuning fork which vibrates, and the patient's threshold for detection of vibration is determined. If the threshold falls outside of normal limits, the test is positive.
Vibrometer118An instrument vibrates at varying frequencies, and the patient's threshold for detection of vibration is determined. If the threshold falls outside of normal limits, the test is positive

Sources: Massy-Westrop112 and ECRI review of clinical trial articles

Table 9. Definitions of Nerve Conduction Parameters
TestDefinition
Nerves tested
Median nerveThe central nerve that is believed to be impaired in carpal tunnel syndrome. It innervates the thumb, index, middle, and ring fingers.
Ulnar nerveThe nerve on the medial side of the arm that innervates the ring and little fingers. Some researchers compare median and ulnar nerve conduction tests to diagnose carpal tunnel syndrome.
Radial nerveThe nerve on the lateral side of the arm that innervates the thumb. Some researchers compare median and radial nerve conduction tests to diagnose CTS.
Motor or sensoryWhether the test assesses motor or sensory nerve function.
Orthodromic or antidromicThe relative placement of the stimulating and recording electrodes. If the stimulating electrode is distal to the recording electrode (i.e., the stimulator is further from the torso), the test is orthodromic. Conversely, if the stimulating electrode is proximal to the recording electrode, (i.e., the stimulator is closer to the torso), the test is antidromic. These terms apply to sensory tests but not to motor tests.
Electrode placement sites
Abductor pollicus brevis muscle (APB)A muscle in the hand that is used to record median motor parameters.
Abductor digiti minimi (ADM)A muscle in the hand that is used to record ulnar motor parameters.
Parameters Measured
LatencyThe time in milliseconds (ms) between stimulation and recording of an electrical impulse.
Onset latencyThe time in milliseconds (ms) between stimulation and recording of an electrical impulse when measured to the beginning of the action potential.
Peak latencyThe time in milliseconds (ms) between stimulation and recording of an electrical impulse when measured to the largest amplitude of the action potential.
VelocitySpeed of nerve conduction in meters per second (m/s)
AmplitudeSize of the action potential in microvolts (uV)
Presence/absenceWhether the nerve action potential was recordable. In severe cases, some action potentials may not be recordable.
Inching testA series of nerve conduction tests designed to locate specific areas of nerve slowing. It can be performed orthodromically or antidromically. Electrodes are placed in 9–12 locations which are each a small distance (e.g., 1 cm) apart. By stimulating a fixed site (e.g., the middle finger) and recording at several locations (e.g., 9 evenly-spaced locations along the wrist), researchers can measure the nerve latencies and velocities for each segment along the nerve.
Table 10. Imaging Modalities for the Diagnosis of CTS
TestDefinition
FilmPlain film radiograph (x-ray).
CTComputed tomography scan. No articles reported use of obsolete (first- or second-generation CT scanners).
MRIMagnetic resonance imaging scan. No articles reported use of obsolete or prototype MR scanners
UltrasoundUltrasonic imaging
A variety of diagnostic modalities have been reported in the carpal tunnel syndrome literature, including clinical signs (Table 7), sensory tests (Table 8), nerve conduction studies (Table 9), and imaging tests (Table 10). Furthermore, within each testing modality, there are many specific tests and test variations, and there is little consensus about which tests are useful.

Most clinical tests to diagnose CTS (Table 7) involve specific maneuvers that elicit pain, numbness, or tingling in the median-nerve portion of the wrist. For example, in Phalen's test, the patient places both elbows on a horizontal surface with the forearms vertical, and allows the wrists to flex by gravity. If the patient feels numbness or tingling within one minute, the test is positive.28 In Tinel's test, the examiner taps lightly over the median nerve at the wrist. If the patient feels tingling, the test is considered positive.29

Sensory tests for carpal tunnel syndrome (Table 8) typically involve measurement of a patient's threshold for detection of a sensory stimulus. For example, in the Semmes-Weinstein test, the examiner touches the patient with monofilaments, and the test is considered positive if the patient's sensitivity to the monofilaments falls outside normal limits.30 Another example is the two-point discrimination test in which the examiner touches two closely-spaced prongs to the patient's fingers. The test is considered positive if the patient cannot discriminate the prongs when they are 5 millimeters apart.31

Nerve conduction testing for carpal tunnel syndrome can involve several variables (Table 9). Electrodes are placed in two locations along a nerve; the nerve is stimulated from one electrode, and the impulse is recorded from the other electrode. Tests can be performed on either the median nerve, ulnar nerve, or radial nerve, and can assess either motor or sensory function. The placement of electrodes can be either orthodromic (in which stimulating electrodes are placed distal to recording electrodes) or antidromic (in which stimulating electrodes are placed proximal to recording electrodes). Furthermore, many aspects of the nerve impulse can be measured such as latency, amplitude, and velocity.

Some investigators compare two or more nerve conduction tests in an attempt to assist the diagnosis of CTS (e.g., compute a difference between two latencies). We refer to these comparisons as composite nerve conduction tests. One potential advantage of composite nerve conduction tests is that they can compare two measurements in the same individual, thereby controlling for the effect of age on single nerve conduction tests.97

Imaging tests for carpal tunnel syndrome include radiography (conventional film x-ray), computed tomography (CT) scan, magnetic resonance imaging (MRI), and ultrasound. Using these methods, investigators attempt to measure the size of anatomical features such as the carpal tunnel or the median nerve. Radiologists may also look for qualitative signs of CTS, such as bowing of the flexor retinaculum or a flattened shape of the carpal tunnel.98 CTS may also manifest itself through changes in the appearance of the image, such as changes MR signal intensity of the median nerve. One cannot generalize that CTS will always be represented by an increase in signal intensity, because the relative contrast of different tissues is a function of the specific MR pulse sequence used.99 Within a given study, if the same pulse sequence is used, the effect on appearance of normal and abnormal tissue is expected to be consistent.

Many different measurements are possible from a single image. Some of them may be useful in diagnosis of CTS while others are of no use at all. Furthermore, radiologists may take several of these measurements into account when judging an image as positive or negative for CTS. When assessing imaging tests for CTS, one must be specific as to the particular image parameter or combination of parameters being used, and avoid generalization from effectiveness of one imaging measurement to effectiveness of another. Because they were so numerous, we did not tabulate all imaging measurements reported in clinical trial articles, but instead we tabulated the use of each imaging modality (x-ray, CT, MRI, or ultrasound).

Imaging tests, particularly film radiography, may be used to rule out other causes of hand and wrist symptoms, such as fractures or osteoarthritis 100 and thus may have a role in differential diagnosis of CTS, even if they are not themselves tests for CTS.

As noted above, the vast majority of CTS diagnostic trials compared groups of patients with known or suspected disorders and groups of healthy normal controls. Therefore it is worth summarizing the difficulties with such studies:

  • Potential spectrum bias because the controls are required to be asymptomatic, and subjects with unrelated upper extremity disorders are excluded. In routine practice, the spectrum of negative cases is likely to include patients with abnormalities that might mimic the condition being tested for, thereby reducing test specificity and positive predictive value.

  • Potential spectrum bias when severe or obvious cases are selected for in patient inclusion criteria, and patients with mild disorders are excluded. In routine practice, the spectrum of patients with CTS is likely to include mild cases that may not be detected by the diagnostic test, thereby reducing sensitivity and negative predictive value.

  • The converse of the above spectrum bias, where inclusion criteria are designed to study patients with mild disorders. Studies of patients with only mild disease will underestimate test performance.

  • Potential age bias arising from selection of young hospital or laboratory workers as controls rather than persons of the same ages as CTS sufferers. Where possible, we recorded mean ages of CTS and control groups in each study, and identified studies in which the mean ages of the groups differed by 5.0 years or more.

Potential sex bias arising from different sex distributions in the patient group and the control group. Where possible, we recorded the sex distributions of CTS and control groups in each study, and identified studies in which the percentage of females differed by 20 percentage points or more.

Evidence Base

Articles were included in this analysis if they reported counts of positive and negative test results for at least one test, and they included ten or more patients. Having sufficient data from each included study to complete the 2 × 2 diagnostic truth table is important, because sensitivity and specificity must be measured simultaneously, using the same diagnostic threshold. Otherwise, the threshold could be shifted to favor the reported statistic at the expense of the unreported one.

Not all of the articles we examined are addressed in this evidence report. However, data from the articles we did not address are provided in the evidence tables in the appendix. We included articles in these evidence tables, regardless of their level of reporting, if their authors described them as screening studies or studies on “early diagnosis” of CTS.

Table 11. Excluded Studies
AuthorReason for Exclusion
Ikegaya119Special patient population (dialysis)
Tackmann120No diagnostic data
Jordan121Reported only statistical significance of results
Sivri122Special patient population (arthritis), only 2 cases of CTS
Stolp-Smith123Special patient population (pregnant women), only 5 cases of CTS
Dlabalová124All patients post-surgery for CTS
Lazaro125All patients post-surgery for CTS
Nakamichi126All patients post-surgery for CTS
Williams127Discrepancies in reported results; 2 × 2 table could not be accurately reproduced by ECRI.
Mossman128Published as letter rather than full paper; 2 × 2 table could not be accurately reproduced by ECRI.
Westerman129Discrepancies in reported number of patients, unexplained exclusions of patients.
Herrick130Combined results from CTS patients and patients with other conditions.
MacDermid131Combined results from CTS patients and patients with other conditions.
Gerrning132Combined results from CTS patients and patients with other conditions.
Byl133Combined results from CTS patients and patients with other conditions.
Palmer134Combined results from CTS patients and patients with other conditions.
The evidence tables thus list 205 articles that met our a priori inclusion criteria. We subsequently excluded 16 of them. Each of these excluded articles is listed in Table 11 along with its reason for exclusion. Some articles were excluded for more than one reason, but only the first reason is listed in the table. Therefore, this table cannot be used to determine what percentage of the literature suffered a specific flaw. The reasons for exclusion of each study in the table were each confirmed by a second analyst. In case of disagreement, the study was not excluded.

After these exclusions, 189 articles remained for analysis, with a total of 38,087 participants in these studies. The majority of studies (110 or 58%) were conducted outside the United States, and almost all of the studies (184 or 97%) were done at a single center.

In order to be included in meta-analyses of diagnostic trial results, articles had to report sufficient data to permit calculation of sensitivity and specificity for the test in question. In other words, counts of positive and negative test results had to be reported, percentages had to be reported with sufficient data on numbers of patients and controls for us to recalculate the 2 × 2 table, or results for each individual patient had to be reported. Patient-level data were reported in 19 of the 189 articles, and counts for at least some patient groups were reported in 131. Only summary statistics (typically group means) were reported in 39 articles. Even though sensitivity and specificity were not reported in these articles, they were included in the analysis because they met other criteria, such as reporting “early diagnosis” of CTS or an intent to evaluate diagnostic tests in a screening population. In 129 of the articles (68%), it was possible to determine sensitivity and specificity for at least one test from the reported data; in 79 of the articles, the authors themselves reported sensitivity and specificity.

Internal Validity of Results

Table 12. Summary of Study Characteristics Affecting Internal Validity
Study characteristicNumber of studies reporting (percentage)Specifics (percentage)
Whether trial was funded by a for-profit institution24 (13%)For-profit funding: 3 (2%)
No for-profit funding: 21 (11%)
Was selection of patients prospective or retrospective?75 (40%)Prospective: 58 (28%)
Retrospective: 17 (9%)
Patient inclusion criteria185 (98%)See Table 46
Patient exclusion criteria87 (46%)See Table 46
Was sex distribution of patients reported?131 (69%)aPercentage female: 61.5%
Was the percentage of females in the patient group within 20 percentage points of the control group?89 (47%)Yes: 65 (34%)
No, patients were = 20% more female: 21 (11%)
No, controls were =20% more female: 3 (2%)
Were patient ages reported?123 (65%)aMean age 48.1 years
Was the mean patient age within 5 years of the mean control age?89 (47%)Yes: 52 (28%)
No, patients were = 5 years older: 36 (19%)
No, controls were =5 years older: 1 (1%)
Was duration of patients' condition reported?18 (10%)a, bMean duration 28.1 months
Were patient comorbidities reported?46 (24%)NA
Was the test operator blinded?13 (7%)Yes: 13 (7%)
Was the test reader blinded?23 (12%)Yes: 23 (12%)
Were there multiple test readers?7 (4%)2 readers: 4 (2%)
3 readers: 2 (1%)
4 readers: 1 (1%)
What was the method for multiple test readers?4 (57% of studies reporting multiple readers)Independent: 2 (1%)
Mean: 1 (1%)
Consensus: 1 (1%)
Was the test compared to an independent reference standard?38 (20%)Yes: 38 (20%)
Were all patients given the test and the reference standard?28 (15%)Yes: 28 (15%)

Key:

NA—not applicable

a

Calculated on a per-patient basis (i.e., weighted by number of patients in each study reporting this characteristic)

b

Studies reporting median duration 109, 136, 137 were excluded from calculation.

Table 13. Study Characteristics Affecting Internal Validity of Results
ArticleFunded by for-profit institution?Inclusion criteria reported?Exclusion criteria reportedMethod of diagnosis reportedPatient selectionComorbidity reportedaPercent femalePossible sex biasaMean agePossible age biasaMean duration of conditionTest operator blindedTest reader blindedMultiple readersMethod for multiple readersIndependent reference standardWere patients given both test and reference
Distal Motor Latency: Unspecified Diagnosis Patient Group
Rosén, 1993 138NRYesYesYesNRNR75%P41NoNRNRNRNRNRNoNo
Marin, 1983 139NRYesNRNRNRNR86%P49P13NRNRNRNRNoNo
Kimura, 1979 140NRYesYesYesNRNR75%No48NoNRNRNRNRNRNoNo
Loong, 1972 141NRYesNRNRNRNR100%No43.7MNR12.7NRNRNRNRNoNo
Plaja, 1971 142NRNRYesNRRetrospectiveNRNRGNRNRMNRNRNRNRNRNRNoNo
Distal Motor Latency: Symptoms/Presented Patient Groups
Murthy, 1999 143NRYesNRYesNRNRNRGNRNRANRNRNRNRNRNRNoNo
Atroshi, 1996 136NoYesNRNRProspectiveYes69%No52P24NRNRNRNRNoNo
Kuntzer, 1994 144NRYesYesNRProspectiveNR80%P51PNRNRNRNRNRNoNo
Chang, 1991 145NRYesYesNRNRYes79%GNR42.3NoNRNRNRNRNRNoNo
Cioni, 1989 146NRYesYesNRNRNR16%C46.4PNRNRNRNRNRNoNo
Messina, 1980 120NRYesNRNRNRNRNRGNR45.1NoNRNRNRNRNRNoNo
Melvin, 1972 147NRYesNRNRNRNRNRGNRNRANRNRNRNRNRNRNoNo
Loong, 1971 148NRYesYesNRNRYes100%NoNRANR7.6NRNRNRNRNoNo
Palmar Sensory Latency: Symptoms/Presented Patient Groups
Murthy, 1999 143NRYesNRYesNRNRNRGNRNRANRNRNRNRNRNRNoNo
Girlanda, 1998 149NRYesYesNRNRYes93%GNR39ANR48NRNRNRNRNoNo
Chang, 1991 145NRYesYesNRNRYes79%GNR42.3NoNRNRNRNRNRNoNo
Jackson, 1989 150NoYesYesNRNRYes82%No52.6PNRNRNRNRNRNoNo
Escobar, 1985 151NRYesYesNRNRYes70%NoNRANRNRNRNRNRNRNoNo
Phalen's Maneuver: All Patient Groups
Szabo, 1999 152NoYesNRYesProspectiveNR76%NoNRANRNRNRYesNRNRNoNo
Fertl, 1998 153NRYesYesYesProspectiveNR83%P55.5PNRYesYesNRNRNoNo
Gerr, 1998 31NRYesYesYesNRNR72%No46.6PNRNRNRNRNRYesNo
Ghavanini, 1998 154NRYesYesYesProspectiveNR81%No40No15NRNRNRNRNoNo
Tetro, 1998 102NoYesYesYesProspectiveNR64%No49.3NoNRNRNRNRNRNoNo
González del Pino, 1997 104NRYesNRYesProspectiveNR81%No50No37.9NRNR3NRYesYes
De Smet, 1995 101NRYesNRYesNRNR88%C49.2CNRNRNRNRNRNoNo
Werner, 1994 111NRYesNRYesNRNRNRGNRNRANRNRNRNRNRNRNoNo
Durkan, 1991 155NoYesNRYesNRNRNRGNR45ANRNRNRNRNRNRYesYes
Gellman, 1986 106NoYesNRYesNRYes74%GNRNRANRNRNRNRNRNRYesYes
Tinel's Sign: All Patient Groups
Szabo, 1999 152NoYesNRYesProspectiveNR76%NoNRANRNRNRYesNRNRNoNo
Gerr, 1998 31NRYesYesYesNRNR72%No46.6PNRNRNRNRNRYesNo
Ghavanini, 1998 154NRYesYesYesProspectiveNR81%No40No15NRNRNRNRNoNo
Tetro, 1998 102NoYesYesYesProspectiveNR64%No49.3NoNRNRNRNRNRNoNo
González del Pino, 1997 104NRYesNRYesProspectiveNR81%No50No37.9NRNR3NRYesYes
De Smet, 1995 101NRYesNRYesNRNR88%C49.2CNRNRNRNRNRNoNo
Durkan, 1991 155NoYesNRYesNRNR74%GNR45ANRNRNRNRNRNRYesYes
Seror, 1987 156NRYesYesYesNRNR79%No56.8NoNRNRNRNRNRNoNo
Gellman, 1986 106NoYesNRYesNRYesNRGNRNRANRNRNRNRNRNRYesYes
Gelmers, 1979 29NRYesYesYesNRNR81%No57NoNRNRNRNRNRYesNo
Stewart, 1978 157NRYesYesYesNRYes81%No55NoNRNRNRNRNRYesNo

Key:

a

Percent female, mean age, and mean duration of condition for CTS patients

Possible sex bias: No—proportion women in epicondylitis group within 20% of proportion of women in control group; P—Patients were more likely to be female; C—Controls were more likely to be female; GNR—Genders not reported for both groups; NC—Study did not contain a separate control group

Possible age bias: No—mean age of epicondylitis group within 5 years of mean age of control group; P—Patients were older than controls; C—Controls were older than patients; ANR—Ages not reported for both groups; NC—Study did not contain a separate control group

Method for multiple test readers: Indep—Independent

To evaluate the quality of this literature base, we determined what proportion of articles reported various details of study methods or results. Reporting of these details is necessary to verify the internal validity and generalizability of study results. Reporting of characteristics affecting the internal validity of the results (the degree to which the reported results reflect the true performance of the test in the conditions of the particular study) is summarized in Table 12; this table includes all 189 articles on CTS diagnosis that were abstracted into the database. Details of the studies eventually included in quantitative analyses are listed in Table 13.

The design of most studies raised the possibility of age bias in which patients were markedly older than controls. Some nerve conduction measurements become slower as people age,97 thus if patients are older than controls, the study will overestimate the effectiveness of some nerve conduction tests. For this analysis, we defined age bias as a difference of five years or more between the mean age of patients and the mean age of controls. If a study reported ages of more than one group of carpal tunnel patients or more than one group of controls, we used the ages that implied the least amount of age bias in the study. This conservative approach tends to underestimate the amount of age bias in the studies.

Of 189 carpal tunnel studies we examined, 35 did not include a separate control group and 65 failed to report mean or median ages for one or both groups. That left 89 studies for which we could determine whether there was an age bias. Of these 89 studies, 52 had no age bias according to our definition. In 36 studies, patients were five years or more older than controls, while in one study135, controls were five years or more older than patients. In only 12 articles were all patient groups within one year of the controls in mean age. This suggests that there is little use of age-matching to ensure that age bias does not affect results, even though it is known that results of some diagnostic tests are affected by age.

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof7.jpg.

   Figure 7. Mean Ages of Patient and Control Groups in CTS Diagnostic Studies

Figure 7 plots each study using the mean age of controls on the horizontal axis and the mean age of patients on the vertical axis. The solid diagonal line represents the points at which patients and controls had the same age. The dashed diagonal lines represent the points at which patients and controls were five years apart. The plot shows that patients tended to be older than controls. Whereas patients were older than controls in 76 studies, the reverse was true in only 11 studies (in the remaining two studies, the group means were the same).

A similar analysis was done for possible sex bias. We arbitrarily defined potential sex bias as a difference of 20 or more percentage points in the proportions of females in the patient group and in the control group. As with the age bias analysis, when a study had more than one carpal tunnel group or more than one control group, we used a conservative approach by selecting groups that minimized potential sex bias. This approach will underestimate the amount of potential sex bias.

Of 189 carpal tunnel diagnostic studies recorded in the database, 35 did not contain a separate control group, and 65 did not report the sex distribution for one or both of the CTS and control groups. There were 89 studies for which we could determine whether there was a sex bias. Note that these were not the same 89 studies for which we could determine age bias; 21 studies reported age but not sex, and 21 studies reported sex but not age.

Of these 89 studies, 65 did not meet our definition of possible sex bias. In 21 studies, the percentage of females in the CTS group was 20 or more percentage points higher than the control group. In 3 studies, the percentage of females in the CTS group was 20 or more percentage points lower than in the control group.

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof8.jpg.

   Figure 8. Sex Ratios of Patient and Control Groups in CTS Diagnostic Studies

Figure 8 plots the sex distribution of each study, using the percentage of females in the control group on the horizontal axis and the percentage of females in patient group on the vertical axis. The plot shows that the percentage of females tended to be higher in patient groups than in control groups. The percentage of females in the patient group was greater than the percentage of females in the control group in 63 of the 89 studies. The reverse was true in only 13 studies. There were 13 studies in which the percentages were equal.

We defined studies as sex-matched if the proportion of women in each patient groups differed two percentage points or less from the proportion of women in the control group. Using this definition, 20 of the 89 studies (22%) could be called sex-matched. To the extent that sex affects the diagnostic tests for CTS, there is a potential for sex bias in the results. Despite this possible bias, few studies controlled for differing proportions of men and women in their CTS and control groups. These differences, and age differences in patient and control group, are components of the evaluation of diagnostic clinical trial results.

Other study and patient characteristics that potentially affect diagnostic results are just as poorly reported in the clinical trial articles on CTS diagnosis. Patient inclusion criteria were reported in nearly all studies (98%), but exclusion criteria were reported in less than half (48%, Table 12). Lack of reporting does not necessarily mean that studies are free of selection bias. Patients' comorbidities were reported in only 24% of articles even though some may affect test results. Methods for evaluating the diagnostic tests were also rarely reported.

Blinding of test operators and readers to whether a subject was in the CTS or control group was reported in 7–12% of articles, and only 2 of the 29 articles included in our analyses (7%, Table 12). Blinding protects against the potential for intentional or unintentional bias in performing and interpreting the test. Groups of workers in the same hospital or university as the investigators were often used as a convenient source of asymptomatic control subjects. Without blinding, the persons evaluating those subjects would know that familiar persons from around the institution are likely to be controls who do not have CTS, and could consciously or unconsciously bias their findings toward the negative. While some studies may have used blinding without reporting it, one cannot assume that this is so.

Use of multiple readers was not widely reported, and where there were multiple readers reported, only 4 of 7 articles reported how they arrived at conclusions. This could affect the internal validity of the conclusions in studies where multiple readers interpreted each test and then met with each other to resolve their differences in interpretation. This practice can reduce interobserver variability and thus may overestimate the true performance of tests which normally are interpreted by just one person.

Generalizability

Table 14. Summary of Study Characteristics Affecting Generalizability
Study characteristicNumber of studies reporting (percentage)Specifics (percentage)
Years in which study was conducted39 (21%)NA
Number of centers189 (100%)Single: 184 (97%)
Multiple (<5): 4 (2%)
Multiple (>5): 1 (1%)
Country in which study was conducted189 (100%)USA: 79 (42%)
Other: 110 (58%)
Patient inclusion criteria185 (98%)See Table 46
Patient exclusion criteria87 (46%)See Table 46
Were patient comorbidities reported?46 (24%)NA
Was sex distribution of patients reported?131 (69%)aPercentage female: 61.5%
Were patient ages reported?123 (65%)aMean age 48.1 years
Was duration of patients' condition reported?18 (10%)a, bMean duration 28.1 months
Did all patients have previous conservative treatment?1 (1%)Yes: 1 (1%)
Did any patients have previous surgical treatment?6 (3%)Yes: 6 (3%)
Adequate reporting of study's source of patients29 (15%)NA
Was there a potential selection bias for easy cases?58 (31%)Yes: 58 (31%)
Was there a potential selection bias for hard cases?40 (21%)Yes: 40 (21%)

Key:

NA—not applicable

a

Calculated on a per-patient basis (i.e., weighted by number of patients in each study reporting this characteristic)

b

Studies reporting median duration 109, 136, 137 excluded from calculation

Table 15. Study Characteristics Affecting Generalizability of Results
ArticleYears in which trial was conductedNumber of centersCountry where trial was conductedAre patient comorbidity reported?Percent femaleMean ageMean duration of conditionDid all patients have previous conservative treatment?Did any patients have previous surgical treatment?Source of patients adequately described and generalizable to broader clinical practice?Potential selection bias for easy cases?Potential selection bias for difficult cases?
Distal Motor Latency: Unspecified Diagnosis Patient Group
Rosén, 1993 1381986-1987SingleSwedenNo75%41NRNoNoYesNoNo
Marin, 1983 139NRSingleUSANo86%4913NoNoNoYesNo
Kimura, 1979 1401978SingleUSANo75%48NRNoNoNoNoYes
Loong, 1972 141NRSingleSingaporeNo100%43.712.7NoNoNoNoNo
Plaja, 1971 142NRSingleSpainNoNRNRNRNoNoNoYesNo
Distal Motor Latency: Symptoms/Presented Patient Groups
Murthy, 1999 143NRSingleIndiaNoNRNRNRNoNoNoYesNo
Atroshi, 1996 136NRSingleSwedenYes69%5224YesNoNoYesNo
Kuntzer, 1994 144NRSingleSwitzerlandNo80%51NRNoNoYesNoNo
Chang, 1991 145NRSingleTaiwanYes79%42.3NRNoNoNoNoNo
Cioni, 1989 146NRSingleItalyNo16%46.4NRNoNoNoNoNo
Messina, 1980 120NRSingleItalyNoNR45.1NRNoNoNoNoNo
Melvin, 1972 147NRSingleUSANoNRNRNRNoNoNoNoNo
Loong, 1971 148NRSingleSingaporeYes100%NR7.6NoNoNoNoNo
Palmar Sensory Latency: Symptoms/Presented Patient Groups
Murthy, 1999 143NRSingleIndiaNoNRNRNRNoNoNoYesNo
Girlanda, 1998 149NRSingleItalyYes93%3948NoNoNoNoYes
Chang, 1991 145NRSingleTaiwanYes79%42.3NRNoNoNoNoNo
Jackson, 1989 150NRSingleCanadaYes82%52.6NRNoNoNoNoNo
Escobar, 1985 151NRSingleUSAYes70%NRNRNoNoNoNoNo
Phalen's Maneuver: All Patient Groups
Szabo, 1999 1521993-1996SingleUSANo76%NRNRNoNoNoNoNo
Fertl, 1998 1531997SingleAustriaNo83%55.5NRNoNoYesNoNo
Gerr, 1998 31NRSingleUSANo72%46.6NRNoNoNoNoNo
Ghavanini, 1998 154NRSingleIranNo81%4015NoNoNoNoNo
Tetro, 1998 1021995-1997SingleUSANo64%49.3NRNoNoYesNoNo
González del Pino, 1997 1041992-1995SingleSpainNo81%5037.9NoNoNoYesNo
De Smet, 1995 101NRSingleBelgiumNo88%49.2NRNoNoNoNoNo
Werner, 1994 111NRSingleUSANoNRNRNRNoNoNoNoNo
Durkan, 1991 1551987-1990SingleUSANoNR45NRNoNoNoNoNo
Gellman, 1986 1061982-1984SingleUSAYes74%NRNRNoNoNoYesNo
Tinel's Sign: All Patient Groups
Szabo, 1999 1521993-1996SingleUSANo76%NRNRNoNoNoNoNo
Gerr, 1998 31NRSingleUSANo72%46.6NRNoNoNoNoNo
Ghavanini, 1998 154NRSingleIranNo81%4015NoNoNoNoNo
Tetro, 1998 1021995-1997SingleUSANo64%49.3NRNoNoYesNoNo
González del Pino, 1997 1041992-1995SingleSpainNo81%5037.9NoNoNoYesNo
De Smet, 1995 101NRSingleBelgiumNo88%49.2NRNoNoNoNoNo
Durkan, 1991 1551987-1990SingleUSANo74%45NRNoNoNoNoNo
Seror, 1987 156NRSingleFranceNo79%56.8NRNoNoNoNoNo
Gellman, 1986 1061982-1984SingleUSAYesNRNRNRNoNoNoYesNo
Gelmers, 1979 29NRSingleNetherlandsNo81%57NRNoNoNoYesNo
Stewart, 1978 157NRSingleCanadaYes81%55NRNoNoNoYesNo

Key:

NR—not reported

Reporting statistics on characteristics pertaining to the generalizability of each article's results on them are found in Table 14. Details of the studies in the quantitative analyses are reported in Table 15. Some of these characteristics, like age and sex, can affect both internal validity and generalizability. Even if a study is free of age bias (the ages of the control subjects are similar to the ages of the CTS patients), it is possible that the results may not be generalizable because the ages of the patients in a clinical trial of a test are different from the ages of patients encountered in routine use of the test.

In this literature, reporting of patient comorbidities was particularly bad. Only 46 of the articles (24%) reported any comorbidities at all. Duration of patients' conditions was reported in only 18 studies (10%) even though this variable is an indicator of condition severity.

Ninety-eight CTS diagnostic articles (52%) reported patient selection criteria that had the potential to bias studies towards including more easy cases (e.g. including only cases of severe CTS) or more difficult cases to diagnose (e.g. including only cases where other diagnostic tests were equivocal). These criteria represent potential for bias but not conclusive proof of bias, thus we did not exclude such studies. Instead, we used potential selection bias in our analyses of homogeneity, by separately analyzing the homogeneity of studies with and without these potential biases. Generalizability of study results is also affected by the possible spectrum bias arising from study designs where patients with known CTS are compared to healthy volunteers, and the absence of a “gold standard” test for diagnosis of CTS.

Incomplete reporting of important study design and patient characteristics prevents one from ruling out selection biases and other confounding factors as the cause of clinical trial results. The quality of this evidence base is not sufficient to permit us to draw reliable conclusions from a single study. Meta-analysis and heterogeneity analysis can be used to try and identify the effects of these study variables on study results.

Studies of “Early Diagnosis”

Because there is no broad agreement among clinicians of what constitutes and “early” diagnosis of CTS, we accepted any studies so described by their authors as studies of early identification of the condition.

Table 16. Articles Self-Described as "Early Diagnosis" of CTS
ArticlePatient selection criteria relevant to early detectionSymptoms and normal NCS?Authors's proposed method for early detectionSensory NCS?
Seror, 2000 158Symptoms, but normal needle examination, normal DML (<4 ms) and normal palm-to-wrist orthodromic SCV (>45 m/s).
graphic element
Orthodromic sensory inching test from the middle finger.
graphic element
Girlanda, 1998 149Symptoms, but no weakness, no muscle atrophy, and normal DML (<4 ms).
graphic element
Combination of nerve conduction tests:a) Difference between median and ulnar orthodromic SCV from ring finger to wrist, and b) Ratio of orthodromic SCV from middle finger to palm and orthodromic SCV from palm to wrist
graphic element
Seror, 1998 159Symptoms, but normal DML (<4 ms) and normal palm-to-wrist orthodromic SCV (>45 m/s).
graphic element
Orthodromic sensory inching test from the middle finger.
graphic element
Terzis, 1998 162Symptoms, but normal DML (<4.2 ms)
graphic element
Combination of orthodromic sensory nerve conduction tests from the ring finger.
graphic element
Bronson, 1997 163Symptoms, but normal DML (<4 ms) and normal needle examination.
graphic element
Comparison of DMLs using five different wrist positions.
Murata, 1996 164Workers at riskRatio of:a) Antidromic SCV from wrist to index finger, and b) Antidromic SCV from palm to index finger
graphic element
Padua, 1996 165Symptoms, but no signs of severe CTS (e.g., absent SNAP at the wrist).
graphic element
Ratio of:a) Orthodromic SCV from middle finger to palm, and b) Orthodromic SCV from palm to wrist
graphic element
Young, 1995 166Workers at riskTotal score on a grading scale that included seven clinical signs, four symptoms, and DML ≥4.45 ms.
Johnson, 1993 167Workers at riskTrack changes in DML over time
Uncini, 1993 160Symptoms, but normal DML (<4.2 ms) and normal SCV from index finger to wrist (>45 m/s)
graphic element
Difference between: a)Median orthodromic latency between ring finger and wrist, and b)Ulnar orthodromic latency between ring finger and wrist
graphic element
Jetzer, 1991 168Workers at riskVibrometry
Luchetti, 1991 169Symptoms, but normal motor function, sensory function, quantitative sensory examination, cutaneous trophism, DSL (NR), and DML (NR).
graphic element
Antidromic inching test to the middle finger
graphic element
Charles, 1990 170Clinical diagnosis of CTS by referring physician, and at least one of the following: a)DML ≥4.5 ms; b) Orthodromic SCV from index finger <45 m/s; c) Difference ≥0.5 ms between median and ulnar sensory antidromic latencies to the ring fingerDifference between: a)Median antidromic latency between ring finger and wrist, and b) Ulnar antidromic latency between ring finger and wrist
graphic element
Palliyath, 1990 171Symptoms, but “very little electrophysiological changes on routine tests for CTS” (p 307).
graphic element
Duration of relative refractory period and absolute refractory period.
Cioni, 1989 146SymptomsOrthodromic SCV from ring finger to wrist
graphic element
Jackson, 1989 150Symptoms. Patients were stratified into three groups, and one group represented mild CTS as defined by normal NCS (based on four tests) and normal needle examination.
graphic element
Combination of two nerve conduction tests: a)Difference between median and radial antidromic sensory latencies from wrist to thumb, and b) Difference between median and ulnar antidromic sensory latencies from wrist to ring finger
graphic element
Uncini, 1989 161Symptoms, but normal DML (≤4.2 ms) and SNAPs were present with normal amplitude.
graphic element
Difference between:a) Median orthodromic latency between ring finger and wrist, and b) Ulnar orthodromic latency between ring finger and wrist
graphic element
Wongsam, 1983 172Symptoms suggesting early CTS.Ratio of:a) Antidromic latency from wrist to middle fingerb) Antidromic latency from palm to middle finger
graphic element

Key:

DML—Distal motor latency

DSL—Distal sensory latency

ms—Milliseconds

m/s—Meters per second

SCV—Sensory conduction velocity

SNAP—Sensory nerve action potential

NR—Not reported

Eighteen studies proposed tests specifically for the early detection of CTS. Table 16 shows the patient selection criteria used in these studies and the authors' proposed methods for early detection. Eleven of the 18 studies (61%) selected patients who had mild CTS as defined by positive symptoms and normal results on commonly-performed nerve conduction tests. None of these eleven studies, however, agreed on the specific kinds of nerve conduction tests and appropriate thresholds.

Thirteen of the 18 studies (72%) proposed sensory nerve conduction test(s) for the early diagnosis of carpal tunnel syndrome. As with the selection criteria, however, there was little agreement regarding test specifics. Two studies by Seror158, 159 each proposed the orthodromic sensory inching test for the early detection of CTS. Two studies by Uncini160, 161 each proposed the difference between median and ulnar orthodromic sensory latencies from the ring finger for the early detection of CTS. None of the other nine studies of sensory nerve conduction proposed the same specific tests or combination of tests. Therefore, studies of the early detection of CTS utilize the same general categories of nerve conduction tests, but there is wide variability in the specific tests employed. Furthermore, there are insufficient studies of any specific test to permit meta-analysis for drawing conclusions on whether it is effective for early identification of CTS. For this reason, we proceed to examine diagnostic tests for carpal tunnel syndrome, in general.

“Diagnosis Studies”

Our evaluation of methods for diagnosing CTS is primarily meta-analytic. To identify diagnostic tests of CTS for which meta-analyses were appropriate, we performed several tabulations. These tabulations were restricted to studies that met each of the following three criteria: 1) Study included a carpal tunnel syndrome group; 2) Study included a normal group; 3) Study was not a screening study. There were 138 studies that met all of these criteria.

Table 17. Numbers of Studies Reporting Signs/Symptoms Tests Across Patient Selection Categories
Legend:
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Sign/symptomComplex objective standardSimple nerve conductionSymptoms/ presentedUnspecified diagnosis
Closed fist test0, 01, 11, 10, 0
Combined Phalen's/Durkan test1, 10, 00, 00, 0
Decreased muscle strength0, 00, 01, 10, 0
Durkan compression5, 51, 13, 31, 1
Flick sign0, 00, 00, 01, 1
Gilliat tourniquet1, 11, 11, 11, 1
Grip strength0, 00, 00, 01, 0
Hypesthesia0, 00, 01, 10, 0
Pain on VAS0, 00, 01, 11, 1
Paresthesia in APB0, 00, 00, 01, 1
Phalen's/reverse Phalen's7, 72, 16, 63, 3
Pinch strength0, 00, 00, 01, 0
Symptoms measured systematically3, 30, 02, 21, 0
Symptoms during ultrasound0, 00, 01, 10, 0
Thenar atrophy0, 00, 02, 20, 0
Thenar weakness0, 00, 01, 10, 0
Tinel's9, 92, 13, 32, 2
Table 18. Numbers of Studies Reporting Sensory Tests Across Patient Selection Categories
Legend:
First entry in cell—Total number of articles
Second entry in cell— Number of articles with derivable sensitivity and specificity
Sensory testComplex objective standardSimple nerve conductionSymptoms/ presentedUnspecified diagnosis
Object identification0, 00, 00, 01, 0
Pinprick sensation0, 00, 00, 01, 1
Pressure measurement0, 00, 01, 11, 0
Ridge threshold0, 00, 00, 01, 0
Semmes-Weinstein filament1, 10, 00, 04, 1
Temperature measurement0, 00, 01, 12, 1
Texture discrimination0, 00, 00, 01, 0
Tuning fork1, 10, 01, 10, 0
Two-point discrimination (moving or static)2, 20, 02, 21, 0
Vibrometer2, 20, 05, 51, 0
Table 19. Numbers of Studies Reporting Nerve Conduction Tests Across Patient Selection Categories
Legend: Nerve tested: MED-median, RAD-radial, ULN-ulnar, MOT-motor, SEN-sensory
Configuration (not applicable to motor nerve tests): OR-orthodromic, AN-antidromic
Stimulation electrode placement: ELB-elbow, FOR-forearm, WR-wrist, PAL-palm, TH-thumb, IN-index finger, MI-middle finger, RI-ring finger, LI-little finger, APB-abductor policis brevis, ADM-abductor digiti minimi, OTH-other
Recording electrode placement (see D for abbreviations)
Measured parameter: LAT-latency, PRE-presence/absence of signal, AMP-amplitude, VEL-velocity, INCH-inching, OTH-other
Blank cells—Not reported or not applicable
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Shaded cells—Ten or more articles reporting sensitivity and specificity.
Nerve Conduction TestPatient selection type
Nerve TestedNerve TestedConfigurationStimulationRecordingParameterComplex objective standardSimple nerve conductionSymptoms/ presentedUnspecified diagnosis
MOTLAT1, 10, 00, 01, 1
MOTWROTHLAT0, 00, 00, 01, 1
SENLAT1, 10, 00, 01, 1
SENORTHWRPRE0, 00, 01, 10, 0
MEDOTH0, 00, 02, 20, 0
MEDMOT0, 00, 00, 01, 0
MEDMOTAMP0, 01, 00, 00, 0
MEDMOTLAT2, 11, 02, 22, 1
MEDMOTOTH1, 11, 02, 10, 0
MEDMOTVEL0, 01, 01, 11, 0
MEDMOTAPBAMP1, 10, 00, 00, 0
MEDMOTAPBLAT1, 10, 00, 00, 0
MEDMOTELBAPBAMP1, 00, 01, 11, 1
MEDMOTELBAPBLAT1, 10, 00, 01, 1
MEDMOTELBAPBOTH1, 10, 01, 10, 0
MEDMOTELBAPBVEL1, 00, 01, 12, 2
MEDMOTELBINAMP0, 00, 00, 01, 1
MEDMOTELBINLAT0, 00, 00, 01, 1
MEDMOTELBINVEL0, 00, 00, 01, 1
MEDMOTELBWRAMP1, 00, 00, 00, 0
MEDMOTELBWRLAT0, 00, 00, 00, 0
MEDMOTELBWRVEL2, 10, 03, 31, 1
MEDMOTFORVEL1, 10, 00, 01, 1
MEDMOTFORAPBAMP1, 10, 00, 00, 0
MEDMOTFORAPBLAT1, 10, 00, 00, 0
MEDMOTFORAPBVEL0, 00, 01, 10, 0
MEDMOTFORPALAMP1, 10, 00, 00, 0
MEDMOTFORPALLAT1, 10, 00, 00, 0
MEDMOTFORWRVEL0, 00, 00, 01, 1
MEDMOTPALAPBAMP1, 10, 01, 02, 1
MEDMOTPALAPBLAT0, 00, 00, 02, 1
MEDMOTPALINAMP0, 00, 00, 01, 1
MEDMOTPALINLAT0, 00, 00, 01, 1
MEDMOTPALINVEL0, 00, 00, 01, 1
MEDMOTWRAMP0, 00, 01, 10, 0
MEDMOTWRLAT2, 21, 01, 10, 0
MEDMOTWRPRE1, 10, 00, 00, 0
MEDMOTWRVEL1, 10, 00, 00, 0
MEDMOTWRAPBAMP2, 10, 09, 79, 6
MEDMOTWRAPBLAT4, 43, 221, 1724, 21
MEDMOTWRAPBOTH2, 11, 01, 12, 2
MEDMOTWRAPBPRE0, 00, 03, 31, 1
MEDMOTWRAPBVEL0, 00, 02, 15, 5
MEDMOTWRINAMP0, 00, 00, 01, 1
MEDMOTWRINLAT0, 00, 00, 01, 1
MEDMOTWRINVEL0, 00, 00, 01, 1
MEDMOTWROTHAMP1, 00, 01, 11, 1
MEDMOTWROTHLAT1, 11, 18, 83, 3
MEDMOTWROTHOTH0, 00, 00, 01, 1
MEDMOTWROTHVEL1, 00, 01, 10, 0
MEDMOTWRPALAMP0, 00, 01, 10, 0
MEDMOTWRPALLAT0, 00, 01, 10, 0
MEDMOTWRPALOTH0, 00, 00, 01, 1
MEDMOTWRPALVEL0, 00, 01, 00, 0
MEDMOTWRTHLAT0, 00, 02, 00, 0
MEDMOTWRTHVEL0, 00, 01, 10, 0
MEDSEN0, 00, 00, 01, 0
MEDSENLAT3, 20, 00, 01, 0
MEDSENOTH0, 00, 01, 01, 0
MEDSENVEL0, 01, 00, 00, 0
MEDSENWRAMP1, 10, 00, 00, 0
MEDSENWRLAT1, 10, 00, 00, 0
MEDSENANAMP0, 00, 00, 01, 1
MEDSENANLAT1, 10, 01, 11, 1
MEDSENANVEL1, 10, 01, 10, 0
MEDSENANELBINAMP0, 00, 01, 10, 0
MEDSENANELBINOTH0, 00, 01, 10, 0
MEDSENANELBMIVEL0, 00, 00, 01, 1
MEDSENANELBPALINCH0, 00, 00, 01, 1
MEDSENANELBWRVEL0, 00, 02, 21, 1
MEDSENANFORINLAT0, 00, 01, 00, 0
MEDSENANFORRILAT0, 00, 01, 00, 0
MEDSENANFORTHLAT0, 00, 01, 00, 0
MEDSENANPALINAMP1, 10, 02, 10, 0
MEDSENANPALINLAT0, 00, 01, 10, 0
MEDSENANPALINPRE1, 10, 00, 00, 0
MEDSENANPALINVEL0, 00, 00, 01, 1
MEDSENANPALMI0, 00, 01, 00, 0
MEDSENANPALMIAMP0, 00, 02, 10, 0
MEDSENANPALMILAT0, 00, 02, 10, 0
MEDSENANPALMIOTH0, 00, 01, 10, 0
MEDSENANPALMIVEL0, 00, 01, 12, 2
MEDSENANWRLAT0, 00, 01, 10, 0
MEDSENANWRINAMP3, 20, 06, 55, 4
MEDSENANWRINLAT1, 10, 011, 95, 3
MEDSENANWRINOTH2, 10, 02, 20, 0
MEDSENANWRINPRE1, 10, 02, 22, 2
MEDSENANWRINVEL0, 00, 03, 20, 0
MEDSENANWRMIAMP0, 00, 04, 30, 0
MEDSENANWRMIINCH1, 10, 01, 10, 0
MEDSENANWRMILAT0, 00, 02, 10, 0
MEDSENANWRMIPRE0, 00, 01, 10, 0
MEDSENANWRMIVEL0, 00, 03, 31, 1
MEDSENANWROTHVEL0, 00, 01, 10, 0
MEDSENANWRPALAMP0, 00, 01, 00, 0
MEDSENANWRPALLAT0, 01, 01, 10, 0
MEDSENANWRPALVEL0, 00, 03, 22, 2
MEDSENANWRRIAMP0, 00, 01, 00, 0
MEDSENANWRRILAT0, 00, 03, 23, 2
MEDSENANWRRIVEL0, 00, 00, 01, 1
MEDSENANWRTHAMP1, 10, 02, 10, 0
MEDSENANWRTHLAT1, 10, 03, 20, 0
MEDSENANWRTHVEL0, 00, 01, 11, 1
MEDSENORAMP0, 01, 00, 00, 0
MEDSENORLAT0, 01, 00, 00, 0
MEDSENORWRAMP0, 00, 02, 20, 0
MEDSENORWRLAT0, 00, 01, 12, 2
MEDSENORWRVEL0, 00, 02, 20, 0
MEDSENORINAMP0, 00, 00, 01, 1
MEDSENORINLAT0, 00, 00, 01, 1
MEDSENORINOTH0, 00, 00, 01, 1
MEDSENORINVEL0, 00, 00, 01, 1
MEDSENORINPALVEL0, 00, 00, 01, 1
MEDSENORINWRAMP4, 30, 07, 52, 2
MEDSENORINWRLAT1, 10, 08, 73, 3
MEDSENORINWROTH2, 20, 02, 11, 1
MEDSENORINWRPRE1, 10, 04, 40, 0
MEDSENORINWRVEL4, 31, 18, 73, 3
MEDSENORMIAMP0, 00, 00, 01, 1
MEDSENORMILAT0, 00, 00, 01, 1
MEDSENORMIOTH0, 00, 00, 01, 1
MEDSENORMIVEL0, 00, 00, 01, 1
MEDSENORMIMIAMP0, 00, 00, 01, 1
MEDSENORMIMIVEL0, 00, 00, 01, 1
MEDSENORMIPALAMP1, 00, 00, 00, 0
MEDSENORMIPALVEL1, 00, 02, 20, 0
MEDSENORMIWRAMP2, 10, 03, 34, 4
MEDSENORMIWRINCH1, 10, 00, 02, 2
MEDSENORMIWRLAT0, 00, 04, 30, 0
MEDSENORMIWROTH1, 10, 01, 10, 0
MEDSENORMIWRPRE1, 10, 02, 21, 1
MEDSENORMIWRVEL3, 20, 05, 55, 5
MEDSENOROTHVEL1, 10, 00, 00, 0
MEDSENOROTHWRAMP0, 00, 01, 10, 0
MEDSENOROTHWRLAT0, 00, 02, 20, 0
MEDSENOROTHWRVEL0, 00, 02, 21, 1
MEDSENORPALWRAMP0, 00, 02, 21, 1
MEDSENORPALWRLAT1, 11, 111, 111, 1
MEDSENORPALWROTH0, 00, 01, 10, 0
MEDSENORPALWRPRE0, 00, 00, 01, 1
MEDSENORPALWRVEL0, 00, 07, 77, 6
MEDSENORRIAMP0, 00, 00, 01, 1
MEDSENORRILAT0, 00, 00, 01, 1
MEDSENORRIOTH0, 00, 00, 01, 1
MEDSENORRIVEL0, 00, 00, 01, 1
MEDSENORRIWRAMP3, 20, 03, 21, 1
MEDSENORRIWRLAT1, 11, 14, 31, 1
MEDSENORRIWROTH1, 10, 01, 10, 0
MEDSENORRIWRPRE1, 10, 01, 12, 2
MEDSENORRIWRVEL2, 10, 03, 32, 2
MEDSENORTHAMP0, 00, 00, 01, 1
MEDSENORTHLAT0, 00, 00, 01, 1
MEDSENORTHOTH0, 00, 00, 01, 1
MEDSENORTHVEL0, 00, 00, 01, 1
MEDSENORTHELBPRE0, 00, 00, 01, 1
MEDSENORTHMIVEL0, 00, 00, 00, 0
MEDSENORTHPALVEL0, 00, 00, 00, 0
MEDSENORTHWRAMP1, 10, 03, 32, 2
MEDSENORTHWRLAT0, 00, 03, 30, 0
MEDSENORTHWROTH1, 10, 01, 10, 0
MEDSENORTHWRPRE1, 10, 01, 11, 1
MEDSENORTHWRVEL1, 10, 05, 52, 2
MEDSENORWRELBAMP2, 10, 00, 01, 1
MEDSENORWRELBOTH1, 10, 00, 00, 0
MEDSENORWRELBPRE0, 00, 00, 01, 1
MEDSENORWRELBVEL2, 10, 00, 01, 1
MEDTranscarpalAMP0, 00, 00, 01, 1
MEDTranscarpalLAT0, 00, 00, 01, 1
RADSENANFORTHLAT0, 00, 01, 00, 0
RADSENANWRTHAMP1, 10, 00, 00, 0
RADSENANWRTHLAT1, 10, 02, 22, 0
RADSENANWRTHVEL0, 00, 00, 01, 1
RADSENORTHWRAMP1, 00, 01, 10, 0
RADSENORTHWRLAT0, 00, 01, 10, 0
RADSENORTHWRPRE0, 00, 01, 10, 0
RADSENORTHWRVEL1, 00, 02, 21, 1
ULNMOTLAT0, 00, 00, 01, 1
ULNMOTOTH1, 10, 01, 00, 0
ULNMOTELBADMLAT1, 10, 00, 00, 0
ULNMOTELBADMOTH1, 10, 00, 00, 0
ULNMOTELBOTHAMP0, 00, 00, 01, 1
ULNMOTELBOTHPRE0, 00, 00, 01, 1
ULNMOTELBOTHVEL0, 00, 00, 01, 1
ULNMOTELBWRVEL1, 10, 01, 11, 1
ULNMOTWRLAT1, 10, 01, 10, 0
ULNMOTWRVEL1, 10, 00, 00, 0
ULNMOTWRADMAMP0, 00, 01, 02, 1
ULNMOTWRADMLAT2, 21, 14, 25, 4
ULNMOTWRADMOTH1, 10, 00, 00, 0
ULNMOTWRADMVEL0, 00, 01, 00, 0
ULNMOTWRAPBLAT1, 10, 00, 00, 0
ULNMOTWROTHAMP0, 00, 01, 10, 0
ULNMOTWROTHLAT0, 01, 13, 34, 3
ULNMOTWROTHPRE0, 00, 01, 10, 0
ULNMOTWRPALAMP0, 00, 01, 10, 0
ULNMOTWRPALLAT0, 00, 01, 10, 0
ULNSENOTH0, 00, 01, 00, 0
ULNSENWRAMP1, 10, 00, 00, 0
ULNSENWRLAT1, 10, 00, 00, 0
ULNSENANFORLILAT0, 00, 01, 00, 0
ULNSENANFORRILAT0, 00, 01, 00, 0
ULNSENANPALLILAT0, 00, 01, 10, 0
ULNSENANWRLIAMP0, 00, 02, 21, 1
ULNSENANWRLILAT0, 00, 02, 21, 1
ULNSENANWRLIVEL0, 00, 03, 30, 0
ULNSENANWRPALLAT0, 00, 01, 10, 0
ULNSENANWRRILAT0, 00, 02, 24, 2
ULNSENANWRRIVEL0, 00, 00, 01, 1
ULNSENORLIWRAMP2, 10, 04, 33, 3
ULNSENORLIWRLAT1, 10, 03, 21, 1
ULNSENORLIWROTH1, 10, 01, 00, 0
ULNSENORLIWRPRE0, 00, 01, 10, 0
ULNSENORLIWRVEL2, 10, 03, 23, 3
ULNSENOROTHVEL1, 10, 00, 00, 0
ULNSENOROTHWRVEL0, 00, 00, 01, 1
ULNSENORPALWRAMP0, 00, 01, 10, 0
ULNSENORPALWRLAT0, 01, 16, 60, 0
ULNSENORPALWRVEL0, 00, 02, 21, 1
ULNSENORRIWRAMP2, 10, 02, 12, 2
ULNSENORRIWRLAT1, 11, 13, 21, 1
ULNSENORRIWRPRE0, 00, 01, 11, 1
ULNSENORRIWRVEL2, 10, 02, 23, 3
ULNSENORWRELBAMP1, 10, 00, 00, 0
ULNSENORWRELBOTH1, 10, 00, 00, 0
ULNSENORWRELBVEL1, 10, 00, 00, 0
Table 20. Numbers of Studies Reporting Composite Nerve Conduction Tests Across Patient Selection Categories
Legend:
Blank cells—Not reported or not applicable
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Composite test type Patient selection group
Nerve for test 1Nerve for test 2Motor or sensoryUnit of nerve testType compositeComplex objective standardSimple nerve conductionSymptoms/ presentedUnspecified diagnosis
MedianMedianMotorAmplitudeDifference0, 00, 00, 01, 0
MedianMedianMotorAmplitudeRatio1, 10, 01, 00, 0
MedianMedianMotorLatencyDifference0, 00, 02, 22, 2
MedianMedianMotorLatencyRatio0, 00, 00, 01, 1
MedianMedianMotorVelocityDifference1, 00, 00, 00, 0
MedianMedianSensoryAmplitudeDifference1, 10, 02, 20, 0
MedianMedianSensoryAmplitudeRatio1, 10, 01, 01, 1
MedianMedianSensoryLatencyDifference1, 10, 06, 51, 1
MedianMedianSensoryLatencyRatio0, 00, 00, 01, 1
MedianMedianSensoryVelocityDifference0, 00, 02, 21, 1
MedianMedianSensoryVelocityRatio0, 00, 04, 42, 2
MedianRadialSensoryLatencyDifference1, 10, 03, 32, 0
MedianRadialSensoryVelocityDifference0, 00, 00, 01, 1
MedianRadialSensoryVelocityRatio0, 00, 01, 10, 0
MedianUlnarMotorLatencyDifference1, 12, 23, 35, 4
MedianUlnarMotorOtherDifference1, 10, 00, 00, 0
MedianUlnarSensoryAmplitudeRatio0, 00, 02, 21, 1
MedianUlnarSensoryLatencyDifference1, 11, 110, 95, 3
MedianUlnarSensoryVelocityDifference0, 00, 01, 11, 1
MedianUlnarSensoryVelocityRatio0, 00, 01, 10, 0
RadialMedianSensoryVelocityRatio0, 00, 01, 10, 0
RadialRadialSensoryLatencyDifference0, 00, 01, 00, 0
UlnarMedianSensoryVelocityDifference1, 00, 00, 00, 0
UlnarMedianSensoryVelocityRatio0, 00, 01, 10, 0
Other Difference3, 10, 03, 31, 1
Other Ratio0, 00, 03, 21, 1
Other Composite5, 40, 09, 84, 2
Table 21. Numbers of Articles Reporting Imaging Tests in Patient Selection Categories
Legend:
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Imaging testComplex objective standardSimple nerve conductionSymptoms/presentedUnspecified diagnosis
CT0, 00, 00, 02, 0
MRI2, 02, 01, 15, 2
Ultrasound1, 01, 01, 03, 3
For each test, we determined the number of studies in each of four patient selection categories that reported the test. Within each of these four categories, we also determined the number of studies for which sensitivity and specificity could be derived (based on information provided in the article). These study counts appear in Table 17 through Table 21. The first number in each cell is the count of all studies in a category, and the second number in each cell is the subset of studies from which we could derive sensitivity and specificity. We coded a study as having derivable sensitivity/specificity if any of the tests in that study had derivable sensitivity and specificity. Because this was not necessarily true for all tests in a study, the table's counts for some tests may slightly overestimate the numbers of studies with derivable sensitivity and specificity.

As an initial criterion for conducting meta-analyses, we required that a minimum of 10 studies that reported a specific test in a specific population had derivable sensitivity and specificity. In other words, the second number in the table cell was required to be 10 or more. We adopted this criterion to ensure that our analysis would focus on the diagnostic tests that are the subject of greatest research interest. When there was a minimum of 10 articles, we proceeded with a meta-analysis even if one or more articles were subsequently excluded because it did not report sensitivity and specificity for the particular test being analyzed (or for other reasons discussed below).

Three combinations of test and patient population (see shaded cells in Table 19) met the a priori analysis criterion of at least 10 articles reporting the test and reporting results in sufficient detail that sensitivity and specificity could be calculated. The table entries on level of reporting are based on the highest level for any test reported in the article, and all tests reported were not necessarily reported at the highest level. This was especially true for studies reporting distal motor latency. It may be the case that some investigators reported only summary data for distal motor latency because it was considered a more of a routine test than other reported tests.

Summary ROC Meta-Analysis of Diagnostic Test Results

Ideally, a meta-analysis of a test includes only studies that use the same definition of what is to be diagnosed. However, the absence of a gold standard for defining carpal tunnel syndrome resulted in there being as many different definitions of the condition (and therefore of positive cases) as there were studies. Therefore, we could only combine study results by permitting different authors to use different definitions of CTS. Testing for heterogeneity of results helps reduce, but does not eliminate the possibility that different definitions affected study results.

Distal Motor Latency: Patients with Unspecified Diagnosis of CTS v. Normal Controls

Table 22. Distal Motor Latency Studies Excluded from Meta-Analysis
StudyReason for Exclusion
Pease, 1990177Did not report sensitivity and specificity for distal motor latency test
Seror, 1998159Did not report sensitivity and specificity for distal motor latency test
Rossi, 1994178Did not report sensitivity and specificity for distal motor latency test
Seror, 1995179Did not report sensitivity and specificity for distal motor latency test
Lang, 1995109Did not report sensitivity and specificity for distal motor latency test
Tzeng, 1990180Did not report sensitivity and specificity for distal motor latency test
Mondelli, 2001181Did not report sensitivity and specificity for distal motor latency test
Simovic, 1997182Did not report distal motor latency results for control subjects
Simovic, 1999183Did not report distal motor latency results for control subjects
Resende, 2000184Did not report distal motor latency results for control subjects
Lauritzen, 1991185Did not report distal motor latency results for control subjects
Loscher, 2000175Did not report distal motor latency results for CTS patients
Bronson, 1997163Selective reporting of distal motor latency results
So, 1989173Reported combination test of distal motor latency and other nerve conduction measurements
Charles, 1990170Discrepancy in reported threshold
Resende, 2000174No diagnostic threshold reported
While there were 21 studies of distal motor latency (DML) in patient groups coded as “Unspecified diagnosis” that reported some 2 × 2 tables, only five of those studies ultimately could be included in a meta-analysis. Reasons for the exclusion of the others are shown in Table 22. Seven studies did not report any sensitivity or specificity results for the DML measurements, even though they reported them for other tests. Four studies reported sensitivity but not specificity, while one reported specificity but not sensitivity. These studies were excluded because data from both groups are necessary to ensure the validity of the results and because the summary ROC method requires both sensitivity and specificity for each study. The study by Bronson et al.163 was excluded because DML results were reported for only some of the patients. So et al.173 combined direct measurement of DML with abnormalities in the difference between median and ulnar latency when reporting their results, and we could not isolate results for DML. Charles et al.170 was excluded because authors reported use of a mean + 2 SD threshold for defining abnormal latency, but the actual threshold reported (4.5 msec) did not agree with their reported results for their control subjects (mean + 2 SD = 4.0 msec). Since the number of controls with latency = 4.5 msec was not reported, we could not derive an internally-consistent 2 × 2 table from the article, and had to exclude it from analysis. Resende et al.174 reported patient-level data, but did not report a threshold fordistinguishing normal from abnormal latency. Because there is no agreement on a standard threshold for DML (and there was no way to objectively choose a threshold), we excluded this study.

Two of the five studies included in the meta-analysis140, 175 did not report counts of normal and abnormal results in the control subjects, but because their thresholds were based on two standard deviations from the mean, we estimated the number of false-positive results by multiplying the number of patients in the control group by the probability that a result would be two or more standard deviations above the mean (0.02275 based on the normal distribution). We also recalculated the results from the study by Rosén176, which reported a histogram of latency results and did not report a 2 × 2 table for their specified threshold. In the other included articles, there were no discrepancies between the sensitivity and specificity figures reported by the authors and the figures calculated by ECRI and used in the meta-analysis.

Table 23. Meta-analysis of Distal Motor Latency Results in Trials With Non-specific Diagnosis of Carpal Tunnel Syndrome Groups
StudyTPFNFPTNSen. 95% CISpec. 95% CIPPV 95% CINPV 95% CIPrev.
aKimura14010567311961.0%97.5%97.2%64.0%58.5%
53.4% 68.2%92.9% 99.2%92.0% 99.1%56.7% 70.7%
Marin1399501264.3%100%100%70.6%53.8%
38.3% 83.9%75.0% 100%69.2% 100%46.4% 86.9%
Loong141171003063.0%100%100%75.0%47.4%
43.9% 78.7%88.2% 100%81.0% 100%59.5% 86.0%
Plaja14216702069.6%100%100%74.1%53.5%
48.7% 84.6%83.3% 100%80.0% 100%54.9% 87.0%
bRosén138122905029.3%100%100%63.3%45.1%
17.4% 44.8%92.6% 100%75.0% 100%52.0% 73.3%
Meta-analysis results (mean threshold)57.1%97.9%
49.1% 64.8%97.1% 98.5%

Key:

TP-true positive, FN-false negative, FP-false positive, TN-true negative

Sen.-sensitivity, Spec-specificity, PPV-positive predictive value, NPV-negative predictive value, Prev.-prevalence of CTS

Confidence intervals on sensitivity, specificity, PPV, NPV calculated by Wilson method96

a

Counts for control group (false positive, true negative) estimated by ECRI from threshold reported by authors (mean + 2 SD)

b

Results calculated by ECRI from published histogram

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof9.jpg.

   Figure 9. Meta-analysis of Distal Motor Latency Results in Trials With Non-specific Diagnosis of Carpal Tunnel Syndrome Groups

Results of each included trial and of the meta-analysis are shown in Table 23 and Figure 9. No statistically significant heterogeneity was found in the results (Q = 0.33, p = 0.99). The results clustered in a small portion of the graph, suggesting there was good agreement among clinicians in how this test is used and how effective it is. The sensitivity and specificity at mean threshold, our best estimate of the effectiveness of the test, was 57.1% sensitivity, 97.9% specificity.

The section of the summary ROC curve above sensitivity = 70% is an extrapolation from the actual data. It represents thresholds that are much lower than the thresholds used in the published trials and as such, may not represent an accurate description of clinical events.

Distal Motor Latency: Patients with Symptoms of CTS v. Normal Controls

Table 24. Distal Motor Latency Articles Excluded From Meta-Analysis
StudyReason for Exclusion
Jackson, 1989150Did not report sensitivity and specificity for distal motor latency test
Sener, 2000186Did not report sensitivity and specificity for distal motor latency test
Schwartz, 1979187Did not report sensitivity and specificity for distal motor latency test
Escobar, 1985151Did not report sensitivity and specificity for distal motor latency test
Preston, 1992188Did not report distal motor latency results for control subjects
Kimura, 1985189Did not report distal motor latency results for control subjects
Cherniak, 1996190Used distal motor latency for patient selection
Sheean, 1995191Used distal motor latency for patient selection
Foresti, 1996192Discrepancies in reported results
Seventeen studies met the initial criteria for inclusion in a meta-analysis of DML for distinguishing patients with symptoms of CTS from healthy volunteer controls. As with the meta-analysis on patients with unspecified diagnosis of CTS, there were several articles that did not include sufficient data to permit inclusion in the meta-analysis (Table 24). Four articles were excluded because they did not report the number of CTS patients with normal and abnormal DML, and two articles were excluded because they did not report the corresponding data for control subjects. Two articles were excluded due to selection bias: DML was one of their patient selection criteria. Another article was excluded because of discrepancies in the reported results; ECRI could not verify or recalculate the 2 × 2 table.

Table 25. Meta-analysis of Distal Motor Latency Results in Trials With Patients Presenting with CTS Symptoms
StudyTPFNFPTNSen.Spec.PPVNPVPrev.
95% CI95% CI95% CI95% CI
a, bChang145172604039.5%100%100%60.6%51.8%
26.1% 54.7%90.9% 100%81.0% 100%48.3% 71.7%
Kuntzer144475316947.0%98.6%97.9%56.6%58.8%
37.3% 56.9%92.1% 99.8%88.8% 99.6%47.5% 65.2%
aMurthy143143381927266.7%97.3%95.0%79.1%43.5%
53.5% 77.7%90.5% 99.3%83.2% 98.6%69.5% 86.3%
Cioni1463007505680.0%100%100%42.7%87.0%
75.6% 83.8%93.3% 100%98.7% 100%34.4% 51.5%
bMessina12034613985.0%97.5%97.1%86.7%50.0%
70.6% 93.0%86.8% 99.6%85.1% 99.5%73.5% 93.8%
Melvin14713402476.5%100%100%85.7%41.5%
52.2% 90.6%85.7% 100%76.5% 100%68.1% 94.4%
Loong14813906059.1%100%100%87.0%26.8%
38.4% 77.0%93.8% 100%76.5% 100%76.8% 93.1%
cAtroshi136251885258.1%86.7%75.8%74.3%41.7%
43.0% 71.9%75.6% 93.2%58.6% 87.3%62.7% 83.2%
Meta-analysis results (mean threshold)66.0%98.3%
55.7% 75.0%97.4% 98.9%

Key:

TP-true positive, FN-false negative, FP-false positive, TN-true negative

Sen.-sensitivity, Spec-specificity, PPV-positive predictive value, NPV-negative predictive value, Prev.-prevalence of CTS

Confidence intervals on sensitivity, specificity, PPV, NPV calculated by Wilson method

a

Counts for control group (false positive, true negative) estimated by ECRI from threshold reported by authors (mean + 2 or 2.5 SD)

b

Results calculated by ECRI from published graph

c

Outlier (excluded from meta-analysis results): see text

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof10.jpg.

   Figure 10. Meta-analysis of Distal Motor Latency Results in Trials With Patients Presenting with CTS Symptoms

Note: One outlier136 was excluded (see text).

Eight articles remained after those exclusions (see Table 25). Significant heterogeneity in their results was found by the Q statistic (Q = 16.7, p = 0.019), with one obvious outlier (Atroshi et al.136, standardized residual = –3.68). Excluding that study left the remaining results homogeneous (Q = 3.15, p = 0.79). The meta-analysis was completed both with and without the outlier included, and there was no substantial effect on the results. With the outlier excluded (Figure 10), the sensitivity/specificity at mean threshold was 66.0%/98.3%. Including the outlier changed the results by less than a percentage point: the sensitivity/specificity at mean threshold was 65.0%/97.7%.

The results of this meta-analysis are very similar to the results for the meta-analysis of DML with patient groups with unspecified diagnosis of CTS. The results of both meta-analyses suggest that this test has very high specificity, but only moderate sensitivity.

Palmar Sensory Latency: Patients with Symptoms of CTS v. Normal Controls

Table 26. Palmar Sensory Latency Articles Excluded from Meta-analysis
StudyReason for Exclusion
Gerr, 1998 31Did not report sensitivity and specificity for palmar sensory latency test
Foresti, 1996 192Did not report sensitivity and specificity for palmar sensory latency test
Eisen, 1993 193Did not report sensitivity and specificity for palmar sensory latency test
Mills, 1985 194Did not report sensitivity and specificity for palmar sensory latency test
Kim, 1983 195Did not report sensitivity and specificity for palmar sensory latency test
Andary, 1996 196Palmar sensory latency results used as patient selection criterion
The cross-tabulation found 11 articles that included palmar sensory latency studies and reported some data in the form of a 2 × 2 table. The articles compared patients who presented with suspected CTS or symptoms of CTS to healthy normal controls. As with the other meta-analyses, several studies could not be included in the meta-analysis (Table 26). Five articles did not report sufficient data to allow us to calculate sensitivity and specificity for this particular test. One used palmar sensory latency as a patient selection criterion and was excluded due to selection bias.

Table 27. Meta-analysis of Palmar Sensory Latency Results
StudyTPFNFPTNSen. 95% CISpec. 95% CIPPV 95% CINPV 95% CIPrev.
a, bChang145261704060.5% 45.3% 73.9%100% 90.9% 100%100% 86.7% 100%70.2% 57.1% 80.6%51.8%
cJackson150914013769.5% 60.9% 76.8%97.4% 86.2% 99.5%98.9% 93.9% 99.8%48.1% 37.0% 59.3%77.5%
aMurthy14355227296.5% 87.8% 99.1%97.3% 90.5% 99.3%96.5% 87.8% 99.1%97.3% 90.5% 99.3%43.5%
aEscobar151328210280.0% 64.9% 89.6%98.1% 93.1% 99.5%94.1% 80.5% 98.4%92.7% 86.1% 96.3%27.8%
cGirlanda149383718950.7% 39.4% 61.9%98.9% 93.8% 99.8%97.4% 86.5% 99.6%70.6% 62.0% 78.0%45.5%
Meta-analysis results (mean threshold)75.8% 68.8% 81.6%97.7% 96.8% 98.4%

Key:

TP-true positive, FN-false negative, FP-false positive, TN-true negative

Sen.-sensitivity, Spec-specificity, PPV-positive predictive value, NPV-negative predictive value, Prev.-prevalence of CTS Confidence intervals on sensitivity, specificity, PPV, NPV calculated by Wilson method

a

Counts for control group (false positive, true negative) estimated by ECRI from threshold reported by authors (mean + 2 or 2.5 SD)

b

Results calculated by ECRI from published graph

c

Results calculated by ECRI from published percentages

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof11.jpg.

   Figure 11. Meta-analysis of Palmar Sensory Latency Results

After these exclusions, five studies remained in the meta-analysis. There was no statistically significant heterogeneity in their results (Q = 4.87, p = 0.30). The studies and their results are listed in Table 27 and the summary ROC plot is shown in Figure 11.

Like DML, palmar sensory latency has very high specificity. The normal volunteers studied in these trials rarely had abnormal results. This finding, however, does not reveal the test performance on persons with suspected CTS. To address that issue, a computation of sensitivity is required. The sensitivity/specificity at mean threshold was 75.8%/97.7%, and it is clear that the test has some ability to identify persons with symptoms of CTS. Although the summary ROC can be extrapolated to a point where sensitivity and specificity are both quite high (i.e., 96%, 96% respectively), in actual practice it is likely that only specificity is so high. Sensitivity was lower than specificity in all five studies.

Phalen's Maneuver: Combined CTS Groups v. Normal Controls

There were no clinical signs or symptoms for which at least 10 articles reported sensitivity and specificity in a specific patient population. Therefore, we loosened the inclusion criteria by first combining the four patient selection categories, and then requiring a total of 20 or more sensitivity/specificity articles. Because none of the signs and symptoms data met that loosened criterion, we again lowered the threshold to a total of 15 studies or more. Two tests met that criterion: Phalen's maneuver and Tinel's sign. We proceeded to attempt meta-analysis of these data, recognizing that combining patient selection groups could cause heterogeneity of study results that could prevent meta-analysis.

Table 28. Phalen's Maneuver Articles Excluded from Meta-Analysis
StudyReason for Exclusion
Koris, 1988 198Did not report specificity of Phalen's maneuver
Brahme, 1997 199Did not report specificity of Phalen's maneuver
Lang, 1995 109Did not report specificity of Phalen's maneuver
Glass, 1995 28Reported results for only 22 of 159 affected hands
Gerr, 1994 197Duplicate publication
The evidence base on Phalen's maneuver comprised 15 studies. Two of these reported two CTS groups, for a total of 17 entries in the cross-tabulation. For analyzing the two studies with two CTS groups,101, 154 we combined results of all CTS patients. Three articles were excluded because they did not report sufficient data to allow specificity to be calculated. Phalen's maneuver data from the article by Glass and King28 was excluded because results were reported for only 22 of the 159 hands with CTS, and the authors did not report the reason for this. Finally, we determined while abstracting data that two publications by Gerr31, 197 reported the same controls and likely the same patients. Only the later publication31 was included in the analysis. Excluded articles are listed in Table 28.

Table 29. Diagnostic Trial Results for Phalen's Maneuver
StudyTPFNFPTNSen. 95% CISpec. 95% CIPPV 95% CINPV 95% CIPrev.
De Smet10157947786.4% 75.8% 92.7%95.1% 87.8% 98.1%93.4% 84.1% 97.5%89.5% 81.1% 94.5%44.9%
Durkan155321484269.6% 54.9% 81.1%84.0% 71.2% 91.8%80.0% 64.9% 89.6%75.0% 62.0% 84.6%47.9%
Gellman1064518104071.4% 59.0% 81.3%80.0% 66.7% 88.9%81.8% 69.4% 89.9%69.0% 55.9% 79.6%55.8%
a, bGerr314867411941.7% 33.0% 51.1%96.7% 91.8% 98.8%92.3% 81.5% 97.0%64.0% 56.7% 70.7%48.3%
bGhavanini1543440174145.9% 34.9% 57.4%70.7% 57.7% 81.0%66.7% 52.7% 78.2%50.6% 39.7% 61.4%56.1%
González del Pino 104174262018087.0% 81.5% 91.0%90.0% 84.9% 93.5%89.7% 84.5% 93.3%87.4% 82.0% 91.3%50.0%
aSzabo152652259574.7% 64.4% 82.8%95.0% 88.7% 97.9%92.9% 84.1% 97.0%81.2% 73.0% 87.3%46.5%
Tetro10215837168061.1% 50.8% 70.4%83.3% 74.4% 89.6%78.4% 67.5% 86.4%68.4% 59.3% 76.2%49.7%
Fertl153502333668.5% 56.9% 78.2%92.3% 79.3% 97.4%94.3% 84.4% 98.1%61.0% 48.0% 72.6%65.2%
cWerner111171402054.8% 37.5% 71.1%100% 83.3% 100%100% 81.0% 100%58.8% 41.9% 73.9%60.8%
Meta-analysis results (mean threshold)NANA

Key:

TP-true positive, FN-false negative, FP-false positive, TN-true negative

Sen.-sensitivity, Spec-specificity, PPV-positive predictive value, NPV-negative predictive value, Prev.-prevalence of CTS Confidence intervals on sensitivity, specificity, PPV, NPV calculated by Wilson method

NA—Results not valid because of excessive heterogenity in study results

a

Results calculated by ECRI from published percentages

b

Errors in published results corrected by ECRI

c

Tested reverse Phalen's maneuver

Table 30. Heterogeneity of Diagnostic Trial Results for Phalen's Maneuver
GroupQ (p-value) for larger group
All articles (N = 10)71.4 (p <0.000001)
Patients selected with complex objective standard (N = 6) v. other selection59.4 (p <0.000001)
Reverse Phalen's maneuver (N = 1) v. conventional70.8 (p <0.000001)
Not funded by for-profit device or drug manufacturer (N = 4) v. not reported58.5 (p <0.000001)
Reported both inclusion and exclusion criteria (N = 4) v. reported only inclusion criteria20.5 (p = 0.001)
Prospective patient selection (N = 5) v. not reported58.7 (p <0.000001)
Comorbidity reported (N = 1) v. not reported69.9 (p <0.000001)
Sex ratios of patients, controls within 20% of each other (N = 5) v. possible sex bias58.5 (p <0.000001)
Mean ages of patients, controls within 5 years (N = 3) v. possible age bias15.4 (p = 0.017)
Duration of condition reported (N = 2) v. not reported48.4 (p <0.000001)
Independent reference standard (N = 4) v. no independent reference standard reported48.2 (p <0.000001)
Patients given both study test and reference test (N = 3) v. did not do so49.3 (p <0.000001)
Studies done in USA (N = 6) v. other countries58.1 (p <0.000001)
Potential selection bias for easy cases (N = 4) v. no bias or not reported49.3 (p <0.000001)

Q—Q-statistic, with probability that variability in study results [D, logit (sensitivity) + logit (specificity)] is the result of random variability within a homogeneous sample of studies.

This left a total of 10 articles for meta-analysis (Table 29). We found significant heterogeneity among the studies' results (Q = 71.4, p <0.000001). Six studies selected CTS patients using procedures we categorized as “complex objective standard.” Analyzing this subgroup separately did not eliminate the heterogeneity (Q = 59.4, p <0.000001), nor did excluding the one study111 that used the reverse Phalen maneuver. (Q = 70.8, p <0.000001). There were no obvious outliers to explain the heterogeneity, and grouping studies according to criteria that might affect the validity or generalizability of the results (Table 30) did not reduce heterogeneity to statistically non-significant levels. Thus we could not confidently report a single point as the most likely sensitivity and specificity of the test.

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof12.jpg.

   Figure 12. Diagnostic Trial Results for Phalen's Maneuver

The variability of results is shown in Figure 12; sensitivity/specificity covered a large range. We can only conclude that Phalen's maneuver has some ability to distinguish CTS patients from normal controls; the data are too heterogeneous to estimate sensitivity or specificity.

Tinel's Sign: Combined CTS Groups v. Normal Controls

Table 31. Tinel's Sign Articles Excluded from Meta-analysis
StudyReason for Exclusion
Brahme, 1997 199Did not report specificity of Tinel's sign
Lang, 1995 109Did not report specificity of Tinel's sign
Gerr, 1994 197Duplicate publication
The evidence base on Tinel's sign comprised 13 studies; three of these reported two CTS groups, for a total of 16 entries in the cross-tabulation. As mentioned in the meta-analysis of Phalen's maneuver, only the later of the duplicate Gerr publications31, 197 was included in the analysis, and we pooled patient groups in studies with two CTS groups. Two articles were excluded because they did not report specificity. Exclusions are summarized in Table 31

Table 32. Diagnostic Trial Results for Tinel's Sign
StudyTPFNFPTNSen. 95% CISpec. 95% CIPPV 95% CINPV 95% CIPrev.
De Smet101141708145.2% 28.9% 62.5%100% 95.3% 100%100% 77.8% 100%82.7% 73.8% 89.0%27.7%
Durkan1552620104056.5% 42.0% 70.0%80.0% 66.7% 88.9%72.2% 55.7% 84.3%66.7% 53.8% 77.5%47.9%
Gellman106293734743.9% 32.4% 56.2%94.0% 83.5% 98.0%90.6% 75.4% 96.8%56.0% 45.1% 66.3%56.9%
Gelmers292027113242.6% 29.3% 57.0%74.4% 59.4% 85.2%64.5% 46.6% 79.1%54.2% 41.4% 66.5%52.2%
a, bGerr31850212113.8% 7.1% 25.2%98.4% 94.1% 99.6%80.0% 48.4% 94.5%70.8% 63.4% 77.2%32.0%
Ghavanini154245294931.6% 22.1% 42.9%84.5% 72.8% 91.7%72.7% 55.4% 85.1%48.5% 38.8% 58.3%56.7%
González del Pino1044287619432.6% 24.9% 41.2%97.0% 93.5% 98.6%87.5% 75.0% 94.2%69.0% 63.3% 74.3%39.2%
aSeror1566337182263.0% 53.0% 72.0%55.0% 39.5% 69.6%77.8% 67.4% 85.6%37.3% 25.9% 50.3%71.4%
Stewart1572328153745.1% 32.0% 58.9%71.2% 57.4% 81.8%60.5% 44.4% 74.6%56.9% 44.6% 68.5%49.5%
aSzabo152563119964.4% 53.7% 73.8%99.0% 94.4% 99.8%98.2% 90.5% 99.7%76.2% 68.0% 82.8%46.5%
aTetro102702598773.7% 63.8% 81.6%90.6% 82.9% 95.1%88.6% 79.5% 94.0%77.7% 68.9% 84.5%49.7%
Meta-analysis results (mean threshold)NANA

TP-true positive, FN-false negative, FP-false positive, TN-true negative

Sen.-sensitivity, Spec-specificity, PPV-positive predictive value, NPV-negative predictive value, Prev.-prevalence of CTS Confidence intervals on sensitivity, specificity, PPV, NPV calculated by Wilson method

NA—Results not valid because of excessive heterogenity in study results

a

Results calculated by ECRI from published percentages

b

Errors in published results corrected by ECRI

Eleven studies remained for meta-analysis (Table 32). The meta-analysis found significant heterogeneity among the studies' results (Q = 59.1, p <0.000001). All but two studies (De Smet et al.101 and Seror et al.156) selected CTS patients using procedures we categorized as “complex objective standard.” Excluding those studies from the analysis did not substantially reduce the heterogeneity (Q = 46.7, p <0.000001).

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-musculof13.jpg.

   Figure 13. Diagnostic Trial Results for Tinel's Sign

The heterogeneity is evident in Figure 13. Sensitivity/specificity results are widely dispersed in the graph, and there is no pattern of results that is obvious on inspection. The data suggest that Tinel's sign has some ability to diagnose CTS, but the sensitivity and specificity of the test are uncertain. However, the sensitivity of the test appears to be low.

Table 33. Heterogeneity of Diagnostic Trial Results for Tinel's Sign
GroupQ (p-value) for larger group
All articles (N = 11)59.1 (p <0.000001)
Patients selected with complex objective standard (N = 9) v. other selection46.1 (p <0.000001)
Not funded by for-profit device or drug manufacturer (N = 5) v. not reported10.7 (p = 0.057)
Reported both inclusion and exclusion criteria (N = 6) v. reported only inclusion criteria30.2 (p = 0.000013)
Prospective patient selection (N = 4) v. not reported16.6 (p = 0.011)
Comorbidity reported (N = 2) v. not reported51.4 (p <0.000001)
Mean ages of patients, controls within 5 years (N = 6) v. possible age bias37.8 (p <0.000001)
Possible sex bias (N = 3) vs. sex ratios of patients, controls within 20% of each other (N = 8)52.8 (p <0.000001)
Duration of condition reported (N = 2) v. not reported50.6 (p <0.000001)
Independent reference standard (N = 6) v. no independent reference standard reported16.5 (p = 0.005545)
Patients given both study test and reference test (N = 3) v. did not do so51.6 (p <0.000001)
Studies done in USA (N = 5) v. other countries22.3 (p = 0.000454)
Potential selection bias for easy cases (N = 4) v. no bias or not reported41.9 (p <0.000001)

Q—Q-statistic, with probability that variability in study results [D, logit (sensitivity) + logit (specificity)] is the result of random variability within a homogeneous sample of studies.

To see whether other factors, particularly those relating to the validity or generalizability of results, could explain the observed heterogeneity, we repeated the heterogeneity tests for groups defined by reporting criteria in Table 13 and Table 15. The results of those analyses are shown in Table 33. Significant heterogeneity remained regardless of the criteria used to group trials. Therefore none of these criteria are sufficient to explain the heterogeneity that prevents us from meta-analyzing the results.

Articles on Carpal Tunnel Syndrome Screening

Table 34. Articles Described as Screening Studies
ArticleNPopulationSymptomsPositive NCSSymptoms & Positive NCS
Workers-at-risk screening studies for carpal tunnel syndrome
Kearns, 2000 20445Pork processorsNRNRNR
Missere, 1999 20545Meat manufacturersNRa 28.9%NR
Nathan, 1998 202283Steel mill workers, food processors, electronics workers, and plastics workers12.9%43.0%8.2%
Tan, 1998 20664Carpet weaversNRNRNR
Werner, 1998 207119Automobile parts manufacturersNR27%b 20.2%
98Furniture manufacturersNR26%b 10.2%
77Paper containers manufacturersNR34%b 14.3%
64Automobile parts manufacturersNR30%b 17.2%
164Clerical insurance workersNR15%b 11.0%
202Spark plugs manufacturersNR28%b 9.4%
Franzblau, 1997 208148Automobile parts manufacturers41%NRNR
Jeng, 1997 20927Food processors48.8%34.1%22.0%
Werner, 1997 21059Manufacturing workers and clerical workers11.1%45.4%5.6%
Bingham, 1996 2111021Applicants for jobs in meat packers, plastics assemblers, food processors, furniture manufacturers, or grocery warehousing workersc 6.0%a 17.4%c 1.8%
Murata, 1996 16427Data entry operatorsNR37%NR
Pierre-Jerome, 1996 21224Floor cleanersNRNRNR
Werner, 1995 213167Automobile parts manufacturers19.8%24.6%9.0%
Young, 1995 166157Poultry processors70%b31%NR
Franzblau, 1994 11384Automobile parts manufacturers21.4%19.3%8.40%
Kirschberg, 1994 214112Poultry processors22.3%29.5%17.0%
Nathan, 1994 215101Japanese furniture factory workersa, b4.5%b17.8%b2.0%
316Steel mill workers, food processors, electronics workers, and plastics workersa, b23.4%b22.0%b8.3%
Nilsson, 1994 21661Office workersNR33%NR
58Truck assemblersNR40%NR
56PlatersNR55%NR
Werner, 1994 217130Automobile parts manufacturers27.7%d 20.2%NR
Johnson, 1993 167184Poultry processorsa, b 37.3%a, b 19.2%a, b 6.0%
Nathan, 1993 218737Steel mill workers, meat/food processors, electronics workers, plastics workers, aluminum reduction workers, and cable plant workers.a, b51.0%a, b 33.6%a, b19.8%
Grant, 1992 21963Manufacturing plant workersa 25.4%NRNR
Jetzer, 1991 16839Computer assemblersNRNRNR
100Meat processorsNRNRNR
284Keyboard operatorsNRNRNR
General population screening studies for carpal tunnel syndrome
Atroshi, 1999 2202466General population14.4%c 22.3%c 6.6%
Ferry, 1998 221648General population18.5%17.4%7.7%
DeKrom, 1990 222500General population13.8%NRc 7.8%

Key

NR-Not reported

NCS-Nerve conduction studies

a

Based on hands instead of participants

b

Calculated by ECRI based on information reported in the article

c

Estimated by ECRI based on information reported in the article

d

Prevalence of positive NCS in the study by Werner217 was based on 129 participants .

Screening tests are intended to identify persons at risk of developing a condition in the future, not those who already have the condition. Because there is no agreement on what constitutes screening for CTS, we accepted any studies so described by their authors as screening studies. There were 28 articles described by their authors as screening studies. Two (Bland200 and Rosen201) were excluded from this analysis because they required all participants to be symptomatic. Two202, 203 were sequential reports on the same study. Therefore, 25 studies (Table 34) were included in the analysis of screening of carpal tunnel syndrome. Twenty-two of the studies screened workers at risk, and the remaining three studies screened the general population; the table is stratified according to these two categories.

Table 35. Definitions of CTS Reported in Screening Articles
Author, YearClinical findings Nerve conduction studies Comments
SYMCLNOTH CLNDMLDSLPALSEN DIFMOT DIFOTH NCS
Bland, 2000 200
graphic element
graphic element
If tests equivocal, authors measured sensory potential or inching test
Kearns, 2000 204NR
Atroshi, 1999 220
graphic element
graphic element
graphic element
Missere, 1999 205
graphic element
Ferry, 1998 221NR
Nathan, 1998 202
graphic element
graphic element
graphic element
graphic element
Rosen, 1998 201NR
Tan, 1998 206NR
Werner, 1998 207
graphic element
graphic element
Franzblau, 1997 208NR
Jeng, 1997 209
graphic element
graphic element
graphic element
graphic element
Werner, 1997 210
graphic element
graphic element
Bingham, 1996 211NR
Murata, 1996 164NR
Pierre-Jerome, 1996 212NR
Werner, 1995 213
graphic element
graphic element
Young, 1995 166NR
Franzblau, 1994 113
graphic element
graphic element
Kirschberg, 1994 214
graphic element
graphic element
graphic element
graphic element
graphic element
graphic element
graphic element
Nathan, 1994 215
graphic element
graphic element
graphic element
graphic element
Nilsson, 1994 216NR
Werner, 1994 217NR
Johnson, 1993 167NR
Nathan, 1993 218
graphic element
graphic element
graphic element
graphic element
Grant, 1992219
graphic element
graphic element
graphic element
graphic element
?
Jetzer, 1991 168
graphic element
Or positive NCS (tests not reported)
DeKrom, 1990 222
graphic element
graphic element
graphic element
Welch, 1973 223NR
Totals1221554916

Key

SYM—Were positive symptoms included in the author's method of diagnosis?

CLN—Was a positive clinical exam included in the author's method of diagnosis?

OTH CLN—Were other clinical findings included in the author's method of diagnosis?

DML—Was distal motor latency included in the author's method of diagnosis?

DSL—Was distal sensory latency included in the author's method of diagnosis?

PAL—Was palmar sensory latency included in the author's method of diagnosis?

SEN DIF—Was the difference between median and ulnar sensory studies included in the author's method of diagnosis?

MOT DIF—Was the difference between median and ulnar motor studies included in the author's method of diagnosis?

OTH NCS—Were other nerve conduction studies included in the author's method of diagnosis?

NR—Method of diagnosis was not reported

Table 36. Signs and Symptoms Reported in Screening Articles
Legend:
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Sign/symptomNumber of articles reporting
Clinical exam and history1, 0
Durkan compression1, 1
Flick sign1, 1
Flick: Does shaking alleviate night symptoms?1, 1
Gilliat tourniquet1, 1
Grip strength2, 0
Hypalgesia1, 0
Hyperpathia1, 0
Lateral pinch strength1, 0
Luthy's test1, 1
Night symptoms1, 1
Opponens pollicus weakness1, 1
Phalen's/reverse Phalen's3, 2
Right or left hand worse? Or bilateral?1, 1
Signs1, 0
Symptoms measured systematically15, 7
Symptoms2, 0
Symptoms and signs1, 0
Thenar atrophy1, 1
Thenar weakness1, 1
Three-point pinch strength1, 0
Tinel's3, 2
When are symptoms worse?1, 1
Which fingers are worst affected?1, 1
Table 37. Sensory Tests Reported in Screening Articles
Legend:
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Sensory testNumber of articles reporting
Current perception1, 1
Gap detection test1, 1
Semmes-Weinstein monofilament1, 0
Tactile discrimination1, 1
Vibrometer6, 3
Table 38. Nerve Conduction Tests Reported in Screening Articles
Legend:
Nerve tested: MED-median, RAD-radial, ULN-ulnar
Nerve tested: MOT-motor, SEN-Sensory
Configuration (not applicable to motor nerve tests: OR-orthodromic, AN-antidromic
Stimulation/measurement sites: ELB-elbow, FOR-forearm, WR-wrist, PAL-palm, IN-index finger, MI-middle finger, RI-ring finger, LI-little finger, APB-abductor policis brevis, ADM -abductor digiti minimi, OTH-other
Measured parameter: LAT-latency, AMP-amplitude, VEL-velocity, INCH-inching, OTH-other
Blank cells—characteristic not reported
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Numeric entries—Total number of articles, articles from which sensitivity and specificity can be calculated
Nerve testedConfigurationStimulation siteMeasurement siteParameter measuredNumber of articles reporting
MEDMOTLAT2, 0
MEDMOTFORAPBLAT1, 1
MEDMOTWRAPBLAT4, 2
MEDMOTWRAPBVEL1, 1
MEDMOTWROTHAMP1, 0
MEDMOTWROTHLAT3, 2
MEDMOTWROTHVEL1, 0
MEDSENAMP1, 0
MEDSENLAT4, 0
MEDSENOTH1, 1
MEDSENANLAT1, 1
MEDSENANPALINVEL1, 1
MEDSENANPALMIAMP1, 1
MEDSENANPALMIVEL1, 1
MEDSENANWRINAMP2, 2
MEDSENANWRINLAT5, 3
MEDSENANWRINVEL1, 1
MEDSENANWRMIAMP1, 1
MEDSENANWRMIINCH3, 1
MEDSENANWRMIVEL1, 1
MEDSENANWROTHLAT3, 1
MEDSENANWRPALVEL2, 2
MEDSENANWRRILAT1, 1
MEDSENORINWRLAT1, 1
MEDSENORINWRVEL1, 0
MEDSENORPALWRLAT5, 2
MEDSENORWRELBVEL1, 1
ULNMOTLAT1, 0
ULNMOTWRADMLAT1, 0
ULNSENLAT2, 0
ULNSENANLAT1, 1
ULNSENANWRLIAMP2, 2
ULNSENANWRLILAT4, 2
ULNSENANWRRILAT1, 1
ULNSENORLIWRLAT1, 0
ULNSENORLIWRVEL1, 0
ULNSENORPALWRLAT3, 2
Table 39. Composite Nerve Conduction Tests Reported in Screening Articles
Legend:
Nerves: MED—median, ULN—Ulnar
Measured parameter: LAT-latency, VEL-velocity
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
First nerveSecond nerveMotor or SensoryParameter MeasuredCombinationNumber of articles reporting
MEDMEDSENVELRatio1, 1
MEDULNMOTLATDifference2, 0
MEDULNSENLATDifference11, 6
ULNMEDSENLATDifference1, 0
Other composite7, 3
Table 40. Imaging Tests Reported in Screening Articles
Legend:
First entry in cell—Total number of articles
Second entry in cell—Number of articles with derivable sensitivity and specificity
Imaging modalityNumber of articles reporting
CT1, 0
MRI1, 0
Ultrasound1, 1
The reported methods of diagnosis in the 28 screening studies appear in Table 35. The most common diagnostic criteria were symptoms (12 studies, 43%) and the difference between median and ulnar sensory tests (9 studies, 32%). Thirteen studies (46%) used both clinical criteria and nerve conduction criteria, three studies (11%) used nerve conduction criteria only, and no studies used clinical criteria only. The table demonstrates the variability in authors' methods for screening for CTS. As with the diagnostic articles on CTS, we tabulated the number of screening articles reporting use of each particular test (Table 36, Table 37, Table 38, Table 39, Table 40). In no case were there sufficient articles reporting a particular test to meet our a priori criteria for meta-analyzing their data.

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   Figure 14. Association of Symptoms with Positive NCS Findings in Screening Studies

The presence of symptoms and the presence of a positive nerve conduction test appeared to be independent of each other in the screening studies. Figure 14 plots the prevalence of symptoms on the horizontal axis and the prevalence of positive nerve conduction tests on the vertical axis. We could only plot the 15 studies that reported both variables. The correlation between symptoms and nerve conduction was 0.21 (r2 = 0.04) and was not statistically different from zero. Because two of the 15 studies screened a general population, we recomputed the correlation after removing these two studies. The correlation was 0.16 (r2 = 0.02) and was not statistically different from zero. The weak association between symptoms and abnormal nerve conduction suggests that a high incidence of CTS symptoms in workers at risk does not necessarily imply that those same workers will have a high incidence of abnormal nerve conduction.

Table 41. Definitions of CTS Reported in Screening Articles
ArticleMethod of diagnosis used to determine patient condition
Bland, 2000200Median and ulnar sensory conduction (velocity?), DML to APB. Sensory potential or segmental study of conduction used if previous tests equivocal. Threshold 2.5 SD from the mean.
Kearns, 2000204Not reported
Atroshi, 1999220Two definitions: 1) Symptoms and positive clinical exam. Symptoms were pain, numbness and/or tingling in 2 or more of the first 4 fingers at least twice weekly during the preceding 4 weeks, as stated on a questionnaire. Clinical exam required the presence of nocturnal and/or activity-related numbness and/or tingling involving the palmar aspects of at least 2 of the first 4 fingers. The presence of median nerve sensory and/or motor deficit was supportive of the diagnosis but not necessary. 2) Symptoms and positive clinical exam and positive nerve conduction. Included the same definitions as above, and in addition required a difference of 0.8 ms or more between the median sensory latency (middle finger to wrist) and the ulnar sensory latency (little finger to wrist).
Missere, 1999205SCV <42.5 m/s as measured by the nerve conduction inching test.
Ferry, 1998221Not reported
Nathan, 1998202Symptoms and abnormal nerve conduction. Symptoms defined as positive when the patient has either one of two sets of symptoms: 1) Two or more specific CTS symptoms such as numbness, tingling, nocturnal awakening occurring at least twice per month in the median nerve distribution. 2) One specific CTS symptoms and two or more nonspecific symptoms such as pain, tightness, clumsiness occurring at least twice per month in the median nerve distribution. NCS was defined as abnormal when a patient had any of the following three abnormalities: 1) Maximum latency difference = 0.4 ms in the orthodromic inching test. 2) Antidromic wrist-to-digit sensory latency >3.6 ms. 3) Orthodromic palm to wrist sensory latency >2.2 ms
Rosen, 1998201Not reported
Tan, 1998206Not reported
Werner, 1998207Nerve conduction abnormality defined as a difference >0.5 ms between median and ulnar antidromic sensory latencies to index and little fingers, respectively. Symptom abnormality defined as numbness, tingling, burning, or pain in the wrist, fingers, or hand.
Franzblau, 1997208Not reported
Jeng, 1997209Two definitions: One required both symptoms and abnormal conduction, and the other required either symptoms or abnormal nerve conduction :Symptoms: tingling, numbness, pain, perceived weakness, and clumsiness.Nerve conduction was abnormal on any of the following three tests: 1) DML >4.5 ms. 2) Antidromic sensory latency from index finger >3.7 ms. 3) Difference between median palm-to-wrist latency and ulnar palm-to-wrist latency >0.5 ms.
Werner, 1997210Difference between median and ulnar sensory latency >0.5 ms, and symptoms.
Bingham, 1996211Not reported
Murata, 1996164Not reported
Pierre-Jerome, 1996212Not reported
Werner, 1995213Symptoms and abnormal NCS. Positive symptoms were defined as any of the following: numbness, tingling, buning, pain, or nocturnal paresthesia in the hand. Abnormal CTS was defined as a difference greater than 0.5 ms between the median and ulnar sensory antidromic latencies.
Young, 1995166Not reported
Franzblau, 1994113Symptoms and abnormal nerve conduction. Positive symptoms was defined as having both 1) numbness, tingling, burning, or pain in the fingers, hand, wrist, or forearm and 2) nocturnal occurrence of above symptoms. Abnormal nerve conduction was defined as a difference >0.5 between median sensory antidromic wrist-to-index latency and ipsilateral ulnar sensory antidromic wrist-to-little-finger latency.
Kirschberg, 1994214Clinical CTS: One or more of the following 7 findings: 1) nocturnal paresthesia of the hand, relieved by shaking; 2) sensory symptoms in the specific distribution of the median nerve; 3) specific median nerve sensory loss; 4) positive Phalen's sign; 5) Positive Tinel's sign; 6) Thenar atrophy; 7) Thenar weakness. Electrodiagnostic CTS (using Mayo Clinic criteria) involved any of the following 4 findings: 1) Median DML >4.6 ms; 2) Median palmar sensory latency >2.2 ms; 3) Difference >0.2 ms between median and ulnar palmar latencies; 4) Difference >1.8 ms between median and ulnar latencies.
Nathan, 1994215Symptoms and abnormal nerve conduction. Symptoms defined as positive when the patient has either one of two sets of symptoms: 1) Two or more specific CTS symptoms such as numbness, tingling, nocturnal awakening occurring at least twice per month in the median nerve distribution 2) One specific CTS symptom and two or more nonspecific symptoms such as pain, tightness, clumsiness occurring at least twice per month in the median nerve distribution. NCS was defined as abnormal when a patient had any of the following three abnormalities: 1) Maximum latency difference = 0.4 ms in the orthodromic inching test. 2) Antidromic wrist-to-digit sensory latency >3.6 ms 3) Orthodromic palm to wrist sensory latency >2.2 ms
Nilsson, 1994216Not reported
Werner, 1994217Not reported
Johnson, 1993167Not reported
Nathan, 1993218Symptoms and abnormal nerve conduction. Symptoms defined as positive when the patient has either one of two sets of symptoms: 1) Two or more specific CTS symptoms such as numbness, tingling, nocturnal awakening occurring at least twice per month in the median nerve distribution 2) One specific CTS symptoms and two or more nonspecific symptoms such as pain, tightness, clumsiness occurring at least twice per month in the median nerve distributionNCS was defined as abnormal when a patient had any of the following three abnormalities: 1) Maximum latency difference = 0.4 ms in the orthodromic inching test. 2) Antidromic wrist-to-digit sensory latency >3.6 ms 3) Orthodromic palm to wrist sensory latency >2.2 ms
Grant, 1992219Median DML >4.5 ms or median DSL >3.5 ms or median-ulnar DML difference >1.2 ms or median-ulnar DSL difference >0.5 ms
Jetzer, 1991168Symptoms and either positive EMG or recent prior carpal tunnel surgery.
DeKrom, 1990222Nocturnal paresthesia at least twice a week and either DML >4.5 ms or a difference >0.4 ms between median and ulnar antidromic latencies to the ring finger.
Welch, 1973223Not reported
Lack of agreement on what constitutes carpal tunnel syndrome is another obstacle to analyzing these studies. Table 41 lists all the different criteria used to define true cases of CTS in the screening articles. In 13 of the 28 articles (46%), the criteria were not reported at all. The majority of articles that did report criteria (80%) considered both nerve conduction and symptoms; the others used nerve conduction only. In some cases, it was not clearly reported how the elements of the diagnosis were to be combined: whether any sign of CTS would be considered diagnostic for the condition or whether all the criteria must be met.

Table 42. Screening Articles Reporting Longitudinal Results
ArticleNPopulationSelectionFollowup
Kearns, 200020445PorkprocessorsStarting employment42–83 days, mean 64
Nathan, 1998202203218283Various manufacturing and clericalRandomly-selected workers11 years
Werner, 1997210NR, though over 700Various manufacturing and clericalNCS positive workers and matched controls10 to 24 months
Johnson, 1993167184Meat processorsMostly new employeesNot reported, but few followed more than 3 months
The ideal study design for evaluating screening tests for WRUEDs would first test a group of at-risk persons, and then perform followup for a period of time to determine whether symptoms develop. Only six articles in our evidence base reported this kind of trial, and two reported on the same trial. The bulk of the “screening” literature was made up of articles intended to diagnose CTS in screening populations (asymptomatic workers presumed to be at risk for CTS). The five longitudinal studies of screening populations are listed in Table 42. The evidence base is small enough that each study will be discussed individually in this report.

Kearns204 measured nerve conduction in new workers at a pork processing plant. Tests were done before the workers started employment and after two months' employment, though the actual time of the followup test ranged from 42 days to 83 days. Only the nerve conduction tests were done; no symptoms were reported and the authors cautioned that the study was not intended to identify workers who developed CTS. Therefore, this study cannot be used to base conclusions of nerve conduction measurement as a screening test for CTS.

Nathan et al. performed the longest longitudinal study on nerve conduction measurements: 11 years. Two articles202, 203 reported on the same group of subjects: 471 workers from a variety of manufacturing and clerical jobs. Their initial testing was in 1984, with subsequent testing in 1989 (316 subjects followed)203 and 1994-95 (283 subjects)202. Both inching tests and sensory latency measurements were reported in the latest article, though several other nerve conduction tests were also done.

Table 43. Prediction of Future CTS by Maximum Latency Difference
MLD resultFuture CTSNo CTSThresholdSensitivitySpecificityPPVNPV
<0.28 ms31290.28 ms90.9% 76.1% 96.9%29.9% 25.7% 34.5%9.0% 6.4% 12.7%97.7% 93.4% 99.2%
0.28–0.35 ms112110.36 ms57.6% 40.5% 73.0%78.9% 74.7% 82.5%17.3% 11.2% 25.6%96.0% 93.4% 97.7%
0.36–0.43 ms7560.44ms36.4% 22.0% 53.7%91.9% 88.8% 94.1%25.5% 15.1% 39.8%95.0% 92.4% 96.7%
0.44–0.51 ms5200.52 ms21.2% 10.5% 38.1%96.5% 94.3% 97.9%31.8% 16.1% 53.1%94.1% 91.5% 96.0%
>0.51 ms715

Data from Nathan et al., 1998202

Future CTS—Patients developed CTS during the 11-year followup periof

No CTS—Patients did not develop CTS during followup period.

Table 44. Carpal Tunnel Syndrome-Study Design
ArticleSGNSENNCSCMPIMGOTHCentersCTS groupsCTS pts.Neg. groupsNeg. subjectsProspective or retrospectiveLevel of reportingCould sensitivity & specificity be determined?
Finsen, 2001224
graphic element
graphic element
Single16800ProspectiveCountsNo: thresholds not reported
Mondelli, 2001181
graphic element
graphic element
Single120119Not reportedCountsCalculated by ECRI
Atroshi, 2000225
graphic element
Single12621125ProspectiveSummaryNo: only summary statistics reported
Bland, 2000200
graphic element
graphic element
Single1822313533RetrospectiveCountsReported by authors
Cuturic, 2000226
graphic element
graphic element
Single119116ProspectivePatient levelCalculated by ECRI
Kearns, 2000204
graphic element
graphic element
Single14500ProspectiveSummaryNo: only summary statistics reported
Loscher, 2000175
graphic element
graphic element
Single2NR187ProspectiveCountsReported by authors
Montagna, 2000227
graphic element
Single130115Not reportedCountsReported by authors
Nakamichi, 2000228
graphic element
graphic element
Single11251200Not reportedSummaryNo: only summary statistics reported
Raudino, 2000229
graphic element
Single18300Not reportedCountsReported by authors
Resende, 2000184
graphic element
graphic element
Single132120Not reportedPatient levelCalculated by ECRI
Resende, 2000174
graphic element
Single120120Not reportedPatient levelCalculated by ECRI
Sener, 2000186
graphic element
graphic element
graphic element
Single131121Not reportedCountsCalculated by ECRI
Seror, 2000158
graphic element
graphic element
Single120120Not reportedCountsReported by authors
Stalberg, 2000230
graphic element
Single1136132Not reportedCountsReported by authors
Weber, 2000108
graphic element
graphic element
graphic element
Single153126Not reportedCountsReported by authors
Atroshi, 1999220
graphic element
graphic element
graphic element
Single1246600ProspectiveCountsNo: only one patient group
Burke, 1999231
graphic element
graphic element
graphic element
Multiple (<5)118600ProspectiveCountsCalculated by ECRI
Duncan, 1999232
graphic element
Single168136ProspectiveCountsReported by authors
Kabiraj, 1999233
graphic element
graphic element
Single131138Not reportedCountsCalculated by ECRI
Lee, 1999234
graphic element
Single150128ProspectiveCountsReported by authors
Missere, 1999205
graphic element
graphic element
Single14500Not reportedCountsReported by authors
Mongale, 1999235
graphic element
Single18216Not reportedSummaryNo: only summary statistics reported
Murthy, 1999143
graphic element
graphic element
graphic element
Single184137Not reportedCountsReported by authors
Rudolfer, 1999236
graphic element
Single193700RetrospectiveCountsCalculated by ECRI
Sander, 1999237
graphic element
graphic element
graphic element
Single159134ProspectiveCountsReported by authors
Simovic, 1999183
graphic element
graphic element
Single266119ProspectiveCountsReported by authors
Szabo, 1999152
graphic element
graphic element
graphic element
graphic element
Single1502100ProspectiveCountsReported by authors
Thonnard, 1999117
graphic element
graphic element
graphic element
graphic element
Single111110ProspectiveSummaryNo: only summary statistics reported
Wang, 1999238
graphic element
graphic element
Single112112ProspectiveSummaryNo: only summary statistics reported
Aurora, 1998239
graphic element
Single119120Not reportedSummaryNo: only summary statistics reported
Ferry, 1998221
graphic element
graphic element
graphic element
Single164800ProspectiveCountsReported by authors
Fertl, 1998153
graphic element
graphic element
graphic element
Single147120ProspectiveCountsReported by authors
Gerr, 199831
graphic element
graphic element
graphic element
graphic element
graphic element
Single160159Not reportedCountsReported by authors
Ghavanini, 1998154
graphic element
graphic element
graphic element
Single174158ProspectiveCountsReported by authors
Girlanda, 1998149
graphic element
graphic element
graphic element
Single141145Not reportedCountsReported by authors
Kabiraj, 1998240
graphic element
graphic element
Single172165RetrospectiveSummaryNo: only summary statistics reported
Kleindienst, 1998241
graphic element
Single177118ProspectiveSummaryNo: only summary statistics reported
Luchetti, 1998242
graphic element
Single139112Not reportedSummaryNo: only summary statistics reported
Nathan, 1998202
graphic element
graphic element
graphic element
Single128300ProspectiveCountsNo: only one patient group
Rosen, 1998201
graphic element
Single234160ProspectiveCountsReported by authors
Scelsa, 1998243
graphic element
Single263125ProspectiveCountsReported by authors
Seror, 1998159
graphic element
Single185180Not reportedCountsReported by authors
Smith, 1998244
graphic element
Single18200ProspectiveCountsCalculated by ECRI
Tan, 1998206
graphic element
graphic element
Single164156Not reportedSummaryNo: only summary statistics reported
Terzis, 1998162
graphic element
Single172143Not reportedCountsReported by authors
Tetro, 1998102
graphic element
graphic element
graphic element
graphic element
Single164150ProspectiveCountsReported by authors
Werner, 1998207
graphic element
graphic element
graphic element
Multiple (>5)172700ProspectiveCountsNo: only one patient group
Wilson, 1998245
graphic element
graphic element
Single123114Not reportedSummaryNo: only summary statistics reported
Bak, 1997246
graphic element
graphic element
Single12000ProspectiveCountsNo: no control group
Brahme, 1997199
graphic element
graphic element
Single120115ProspectiveCountsReported by authors
Bronson, 1997163
graphic element
graphic element
Single122116ProspectivePatient levelCalculated by ECRI
Del Pino, 1997104
graphic element
Single11801100ProspectiveCountsReported by authors
Dellon, 1997107
graphic element
graphic element
Single172294Not reportedCountsNo: inconsistent thresholds
Franzblau, 1997208
graphic element
Single114800ProspectiveSummaryNo: only summary statistics reported
Guglielmo, 1997247
graphic element
graphic element
Single1198169ProspectiveSummaryNo: only summary statistics reported
Gunnarsson, 1997248
graphic element
graphic element
graphic element
Single110000ProspectiveCountsReported by authors
Horch, 1997249
graphic element
Single119117Not reportedSummaryNo: only summary statistics reported
Jeng, 1997209
graphic element
graphic element
graphic element
graphic element
graphic element
Single12700ProspectiveCountsReported by authors
Kaneko, 1997250
graphic element
graphic element
Single115366Not reportedSummaryNo: only summary statistics reported
King, 1997114
graphic element
Single1291100Not reportedSummaryNo: only summary statistics reported
Pierre-Jerome, 1997251
graphic element
graphic element
Single127128ProspectiveSummaryNo: only summary statistics reported
Radack, 1997252
graphic element
Single11611NRRetrospectiveCountsReported by authors
Rosecrance, 1997253
graphic element
graphic element
Single128125Not reportedSummaryNo: only summary statistics reported
Simovic, 1997182
graphic element
graphic element
Single1107115RetrospectiveCountsReported by authors
Werner, 1997210
graphic element
graphic element
Single210800RetrospectiveCountsNo: incomplete reporting
Andary, 1996196
graphic element
graphic element
Single181117ProspectiveCountsReported by authors
Atroshi, 1996136
graphic element
Single136260ProspectiveCountsReported by authors
Bingham, 1996211
graphic element
graphic element
graphic element
Single1102100ProspectiveCountsNo: only one patient group
Checkosky, 1996254
graphic element
Single124120Not reportedPatient levelReported by authors
Cherniak, 1996190
graphic element
graphic element
graphic element
graphic element
Single149110Not reportedCountsReported by authors
Foresti, 1996192
graphic element
graphic element
Single1100125ProspectiveCountsReported by authors
Ghavanini, 1996255
graphic element
graphic element
Single150150Not reportedSummaryNo: only summary statistics reported
Kleindienst, 1996256
graphic element
Single155118Not reportedCountsReported by authors
Murata, 1996164
graphic element
graphic element
graphic element
Single127119Not reportedCountsCalculated by ECRI
Padua, 1996165
graphic element
graphic element
graphic element
Single143136Not reportedCountsReported by authors
Pierre-Jerome, 1996212
graphic element
graphic element
graphic element
Single124119ProspectiveSummaryNo: only summary statistics reported
Britz, 1995257
graphic element
graphic element
graphic element
graphic element
graphic element
Single13215ProspectivePatient levelNo: results not reported for controls
De Smet, 1995101
graphic element
Single250255Not reportedCountsReported by authors
Gerr, 1995118
graphic element
Single260159Not reportedCountsReported by authors
Glass, 199528
graphic element
graphic element
Single182124Not reportedCountsCalculated by ECRI
Golovchinsky, 1995258
graphic element
graphic element
graphic element
Single157100RetrospectiveCountsReported by authors
Hamanaka, 1995259
graphic element
graphic element
graphic element
Single2647131RetrospectiveCountsCalculated by ECRI
Hansson, 1995137
graphic element
graphic element
Single230110Not reportedCountsReported by authors
Kothari, 1995260
graphic element
Single159130Not reportedSummaryNo: only summary statistics reported
Lang, 1995109
graphic element
graphic element
graphic element
graphic element
Single123116ProspectiveCountsReported by authors
Lesser, 1995261
graphic element
graphic element
graphic element
Single145120Not reportedCountsReported by authors
Nakamichi, 1995262
graphic element
Single115115Not reportedPatient levelCalculated by ECRI
Seradge, 1995263
graphic element
Single172121Not reportedSummaryNo: only summary statistics reported
Seror, 1995179
graphic element
graphic element
Single375140Not reportedCountsReported by authors
Shafshak, 1995264
graphic element
graphic element
Single236236Not reportedCountsNo: no diagnostic results reported
Sheean, 1995191
graphic element
graphic element
Single1491NRNot reportedCountsCalculated by ECRI
Tassler, 1995115
graphic element
graphic element
Single114113RetrospectiveCountsReported by authors
Valls-Sole, 1995265
graphic element
graphic element
Single118115ProspectiveSummaryNo: only summary statistics reported
Werner, 1995213
graphic element
graphic element
graphic element
graphic element
Single116700Not reportedCountsReported by authors
Young, 1995166
graphic element
graphic element
graphic element
Single115700ProspectiveCountsNo: only one patient group
Clifford, 1994266
graphic element
graphic element
Single120110Not reportedSummaryNo: only summary statistics reported
Durkan, 1994267
graphic element
Single130125Not reportedCountsCalculated by ECRI
Franzblau, 1994113
graphic element
graphic element
graphic element
graphic element
Single18300ProspectiveCountsReported by authors
Gerr, 1994197
graphic element
graphic element
Single2NR1NRNot reportedCountsReported by authors
Kirschberg, 1994214
graphic element
graphic element
graphic element
Single111200RetrospectiveCountsNo: only one patient group
Kuntzer, 1994144
graphic element
graphic element
graphic element
Single1100170ProspectiveCountsReported by authors
Nathan, 1994215
graphic element
graphic element
graphic element
Multiple (<5)241700RetrospectiveCountsNo: no control subjects
Nilsson, 1994216
graphic element
Single317500ProspectiveCountsReported by authors
Para, 1994103
graphic element
graphic element
graphic element
graphic element
Single251112Not reportedCountsReported by authors
Rossi, 1994178
graphic element
graphic element
Single162127Not reportedCountsReported by authors
Werner, 1994217
graphic element
graphic element
graphic element
graphic element
Single113000ProspectiveCountsCalculated by ECRI
Werner, 1994111
graphic element
graphic element
graphic element
Single131120Not reportedCountsCalculated by ECRI
Eisen, 1993193
graphic element
graphic element
Single1NR1NRNot reportedCountsReported by authors
Johnson, 1993167
graphic element
graphic element
Single118400ProspectiveSummaryNo: only summary statistics reported
Nakamichi, 1993268
graphic element
Single112800Not reportedCountsNo: only one patient group
Nathan, 1993218
graphic element
graphic element
graphic element
Single21125145ProspectiveCountsReported by authors
Rodriquez, 1993269
graphic element
graphic element
Single11018ProspectivePatient levelCalculated by ECRI
Rosen, 1993270
graphic element
graphic element
Single262271Not reportedCountsCalculated by ECRI
Rosén, 1993138
graphic element
graphic element
Single128386Not reportedCountsCalculated by ECRI
Uncini, 1993160
graphic element
graphic element
Single170147Not reportedCountsReported by authors
Buchberger, 1992271
graphic element
Multiple (<5)1181NRNot reportedCountsReported by authors
Grant, 1992219
graphic element
graphic element
Single122147Not reportedCountsCalculated by ECRI
Imaoka, 1992272
graphic element
Single142132Not reportedCountsCalculated by ECRI
Kindstrand, 1992273
graphic element
Single1941127ProspectivePatient levelCalculated by ECRI
Preston, 1992188
graphic element
graphic element
Single181NRNot reportedCountsCalculated by ECRI
Tchou, 1992274
graphic element
Single161140Not reportedPatient levelReported by authors
Buchberger, 1991275
graphic element
Single125114Not reportedSummaryNo: only summary statistics reported
Chang, 1991145
graphic element
graphic element
Single143140Not reportedCountsCalculated by ECRI
Durkan, 1991155
graphic element
Single131150Not reportedCountsReported by authors
Jetzer, 1991168
graphic element
graphic element
graphic element
Single33231284ProspectiveCountsNo: no control subjects
Katz, 1991276
graphic element
graphic element
graphic element
graphic element
graphic element
Single17800Not reportedCountsReported by authors
Lauritzen, 1991185
graphic element
graphic element
graphic element
Single138123Not reportedCountsCalculated by ECRI
Luchetti, 1991169
graphic element
graphic element
graphic element
Single11400RetrospectivePatient levelNo: only one patient group
Radwin, 1991116
graphic element
Single112115Not reportedPatient levelNo: no diagnostic threshols used
Charles, 1990170
graphic element
graphic element
Single1158290Not reportedCountsReported by authors
De Krom, 1990222
graphic element
graphic element
graphic element
Single15000ProspectiveCountsCalculated by ECRI
Fitz, 1990277
graphic element
graphic element
Single136144Not reportedCountsCalculated by ECRI
Gilliatt, 1990278
graphic element
graphic element
Single110115Not reportedCountsCalculated by ECRI
MacDonell, 199090
graphic element
Single134112Not reportedCountsReported by authors
Merchut, 1990279
graphic element
graphic element
Single123154Not reportedCountsReported by authors
Palliyath, 1990171
graphic element
Single110111Not reportedSummaryNo: only summary statistics reported
Pease, 1990177
graphic element
Single121116Not reportedCountsCalculated by ECRI
Rojviroj, 1990280
graphic element
Single133116ProspectiveCountsReported by authors
Tzeng, 1990180
graphic element
Single184150Not reportedCountsCalculated by ECRI
Uncini, 1990135
graphic element
graphic element
Single135139Not reportedSummaryNo: only summary statistics reported
Winn, 1990281
graphic element
Single26100ProspectiveSummaryNo: only summary statistics reported
Braun, 1989282
graphic element
graphic element
Single14000Not reportedCountsNo: no diagnostic thresholds reported
Cioni, 1989146
graphic element
graphic element
Single1307154Not reportedCountsReported by authors
Jackson, 1989150
graphic element
graphic element
graphic element
Single1123138Not reportedCountsReported by authors
Meyers, 1989283
graphic element
Single114119Not reportedCountsCalculated by ECRI
So, 1989173
graphic element
graphic element
Single122235Not reportedCountsReported by authors
Szabo, 1989284
graphic element
Single12200Not reportedSummaryNo: only summary statistics reported
Uncini, 1989161
graphic element
graphic element
Single132133Not reportedSummaryNo: only summary statistics reported
De Léan, 1988285
graphic element
Single115000Not reportedCountsCalculated by ECRI
Koris, 1988198
graphic element
graphic element
Single121115ProspectiveCountsReported by authors
Molitor, 1988110
graphic element
graphic element
Single1191NRNot reportedCountsCalculated by ECRI
Mortier, 1988286
graphic element
graphic element
Single11161102RetrospectiveCountsReported by authors
Pease, 1988287
graphic element
graphic element
Single125123Not reportedSummaryNo: only summary statistics reported
Carroll, 1987288
graphic element
graphic element
Single1101150Not reportedCountsReported by authors
Jessurun, 1987289
graphic element
Multiple (<5)124110Not reportedSummaryNo: only summary statistics reported
Johnson, 1987290
graphic element
graphic element
Single120178Not reportedCountsCalculated by ECRI
Liang, 1987291
graphic element
Single1682139Not reportedSummaryNo: only summary statistics reported
Macleod, 1987292
graphic element
graphic element
Single11111125Not reportedSummaryNo: only summary statistics reported
Seror, 1987156
graphic element
Single162120Not reportedCountsReported by authors
Borg, 1986293
graphic element
graphic element
graphic element
Single12200Not reportedCountsCalculated by ECRI
Gellman, 1986106
graphic element
graphic element
graphic element
Single1NR2NRNot reportedCountsReported by authors
Escobar, 1985151
graphic element
Single123155Not reportedCountsCalculated by ECRI
Kimura, 1985189
graphic element
graphic element
graphic element
Single14381148Not reportedCountsReported by authors
Mills, 1985194
graphic element
graphic element
Single147249Not reportedCountsCalculated by ECRI
Borg, 1984294
graphic element
Single34500ProspectivePatient levelCalculated by ECRI
Pryse-Phillips, 1984105
graphic element
Single12124184RetrospectiveCountsReported by authors
Satoh, 1984295
graphic element
graphic element
Single11400RetrospectivePatient levelNo: only one patient group
Szabo, 198430
graphic element
graphic element
Single12000ProspectiveCountsNo: only one patient group
Goddard, 1983296
graphic element
Single124149Not reportedCountsCalculated by ECRI
Kim, 1983195
graphic element
graphic element
Single139133Not reportedCountsReported by authors
Marin, 1983139
graphic element
graphic element
Single114112Not reportedCountsCalculated by ECRI
Wongsam, 1983172
graphic element
Single115256Not reportedSummaryNo: only summary statistics reported
Johnson, 1981297
graphic element
graphic element
Single118137Not reportedSummaryNo: only summary statistics reported
Dekel, 198021
graphic element
Single126133ProspectivePatient levelNo: could not extract 2 × 2 counts from graph
Messina, 1980120
graphic element
graphic element
Single140140Not reportedCountsReported by authors
Gelmers, 197929
graphic element
graphic element
graphic element
Single147143Not reportedCountsReported by authors
Kimura, 1979140
graphic element
graphic element
Single1105161Not reportedCountsCalculated by ECRI
Schwartz, 1979187
graphic element
graphic element
Single120110Not reportedCountsCalculated by ECRI
Stewart, 1978157
graphic element
Single137138Not reportedCountsReported by authors
Eisen, 1977298
graphic element
graphic element
Single1303101Not reportedPatient levelCalculated by ECRI
Sedal, 1973299
graphic element
Single1214134RetrospectiveCountsReported by authors
Welch, 1973223
graphic element
Single14281111Not reportedSummaryNo: only summary statistics reported
Casey, 1972300
graphic element
Single1162112Not reportedPatient levelCalculated by ECRI
Loong, 1972141
graphic element
graphic element
Single118130Not reportedPatient levelCalculated by ECRI
Melvin, 1972147
graphic element
Single117124Not reportedCountsCalculated by ECRI
Buchthal, 1971301
graphic element
graphic element
Single122110Not reportedCountsCalculated by ECRI
Loong, 1971148
graphic element
graphic element
Single115130Not reportedPatient levelCalculated by ECRI
Plaja, 1971142
graphic element
graphic element
Single156120RetrospectiveCountsReported by authors
Table 45. Carpal Tunnel Syndrome-Patient Groups
ArticleDisorder typePatient selectionN patients% femaleMean ageAge of youngestAge of oldestDuration of condition before treatment (months)Shortest duration (months)Longest duration (months)Are patient comorbidities reported?
Finsen, 2001224CTSUnspecified diagnosis6874482186Yes
Mondelli, 2001181NormalHealthy volunteers19NR51.93172No
Mondelli, 2001181CTSUnspecified diagnosis208052.83575No
Atroshi, 2000225CTSSymptoms/ presented2625752No
Atroshi, 2000225NormalHealthy volunteers1255551No
Bland, 2000200CTSComplex objective standard46906557No
Bland, 2000200CTSSymptoms/ presented822366531098No
Bland, 2000200NormalOther35336749No
Cuturic, 2000226CTSUnspecified diagnosis190432962No
Cuturic, 2000226NormalHealthy volunteers160412658No
Kearns, 2000204CTSWorkers at risk454Yes
Loscher, 2000175NormalHealthy volunteers87NR471586No
Loscher, 2000175CTSUnspecified diagnosisNRNo
Loscher, 2000175CTSOtherNRNo
Montagna, 2000227Cubital tunnel syndromeUnspecified diagnosis10NRNo
Montagna, 2000227NormalHealthy volunteers15NRNo
Montagna, 2000227CTSUnspecified diagnosis30NRNo
Nakamichi, 2000228CTSSimple nerve conduction125100564070No
Nakamichi, 2000228NormalHealthy volunteers200NR574070No
Raudino, 2000229CTSComplex objective standard838248.9198226.91180Yes
Resende, 2000174CTSUnspecified diagnosis20NRNo
Resende, 2000174NormalHealthy volunteers20NR2155No
Resende, 2000184NormalHealthy volunteers20100362054No
Resende, 2000184CTSUnspecified diagnosis32100442559No
Sener, 2000186CTSSymptoms/ presented31NR462670Yes
Sener, 2000186NormalHealthy volunteers21NR381860Yes
Seror, 2000158NormalHealthy volunteers2075432067No
Seror, 2000158CTSComplex objective standard2075473276No
Stalberg, 2000230CTSSymptoms/ presented136NRNo
Stalberg, 2000230NormalHealthy volunteers32NR2162No
Weber, 2000108CTSSymptoms/ presented537945No
Weber, 2000108NormalHealthy volunteers268537No
Burke, 1999231CTSSymptoms/ presented186NRNo
Atroshi, 1999220NormalOther2466NRNo
Duncan, 1999232CTSComplex objective standard687454Yes
Duncan, 1999232CTSComplex objective standardNRYes
Duncan, 1999232NormalHealthy volunteers366444Yes
Kabiraj, 1999233NormalHealthy volunteers38502079No
Kabiraj, 1999233CTSComplex objective standard31682885No
Lee, 1999234NormalHealthy volunteers28542247No
Lee, 1999234CTSUnspecified diagnosis50743281No
Missere, 1999205CTSWorkers at risk45037.7No
Mongale, 1999235NormalHealthy volunteers9100392650No
Mongale, 1999235NormalHealthy volunteers70392758No
Mongale, 1999235CTSUnspecified diagnosis8100432454No
Murthy, 1999143CTSSymptoms/ presented84NRNo
Murthy, 1999143NormalHealthy volunteers37NRNo
Rudolfer, 1999236CTSSymptoms/ presented937NRNo
Sander, 1999237NormalHealthy volunteers34NR412671No
Sander, 1999237CTSComplex objective standard59NR492973No
Simovic, 1999183CTSOther12NRYes
Simovic, 1999183NormalHealthy volunteers1963402568Yes
Simovic, 1999183CTSUnspecified diagnosis54NRYes
Szabo, 1999152NormalHealthy volunteers50661859No
Szabo, 1999152CTSComplex objective standard507620732240No
Szabo, 1999152Unrelated diseaseOther508028720180No
Thonnard, 1999117CTSUnspecified diagnosis117352No
Thonnard, 1999117NormalHealthy volunteers117353No
Wang, 1999238CTSComplex objective standard1292463065No
Wang, 1999238NormalHealthy volunteers1242372859No
Aurora, 1998239CTSSymptoms/ presented19NR52.8No
Aurora, 1998239NormalHealthy volunteers20NR32.9No
Ferry, 1998221NormalOther6485646.9No
Fertl, 1998153NormalHealthy volunteers2060422577No
Fertl, 1998153CTSSymptoms/ presented478355.52178No
Gerr, 199831NormalHealthy volunteers596938.2No
Gerr, 199831CTSSymptoms/ presented607246.6No
Ghavanini, 1998154CTSComplex objective standard261003720509136No
Ghavanini, 1998154CTSSymptoms/ presented748140205015160No
Ghavanini, 1998154NormalHealthy volunteers587636.72050No
Ghavanini, 1998154CTSComplex objective standard266941205019.4148No
Ghavanini, 1998154CTSComplex objective standard227342305019460No
Girlanda, 1998149CTSSymptoms/ presented4193392465481180Yes
Girlanda, 1998149NormalHealthy volunteers45NRYes
Kabiraj, 1998240CTSSymptoms/ presented72NRNo
Kabiraj, 1998240NormalHealthy volunteers654539.82075No
Kleindienst, 1998241CTSComplex objective standardNRNo
Kleindienst, 1998241CTSOtherNRNo
Kleindienst, 1998241CTSComplex objective standardNRNo
Kleindienst, 1998241CTSOtherNRNo
Kleindienst, 1998241NormalHealthy volunteers1883514359No
Kleindienst, 1998241CTSComplex objective standardNRNo
Kleindienst, 1998241CTSUnspecified diagnosis7782542279No
Luchetti, 1998242CTSUnspecified diagnosis3979312645No
Luchetti, 1998242NormalHealthy volunteers1283272436No
Nathan, 1998202CTSWorkers at risk2834535.2No
Rosen, 1998201NormalHealthy volunteers60NRNo
Rosen, 1998201CTSWorkers at risk205462665No
Rosen, 1998201CTSUnspecified diagnosis14100533378No
Scelsa, 1998243CTSOther2148461069No
Scelsa, 1998243CTSUnspecified diagnosis4276502585No
Scelsa, 1998243NormalHealthy volunteers2544422363No
Seror, 1998159CTSUnspecified diagnosis8574462583No
Seror, 1998159NormalHealthy volunteers8064422268No
Smith, 1998244CTSSymptoms/ presented8261441788141120No
Tan, 1998206CTSWorkers at risk64632228No
Tan, 1998206NormalHealthy volunteers56572129No
Terzis, 1998162CTSUnspecified diagnosis729249.6No
Terzis, 1998162NormalHealthy volunteers438448.3No
Tetro, 1998102NormalHealthy volunteers507446.92279No
Tetro, 1998102CTSComplex objective standard646449.32183No
Werner, 1998207CTSWorkers at risk72754422569Yes
Wilson, 1998245NormalHealthy volunteers14NR523376No
Wilson, 1998245CTSComplex objective standard23NR592476No
Bak, 1997246CTSSymptoms/ presented2055Yes
Brahme, 1997199CTSUnspecified diagnosis2090372161No
Brahme, 1997199NormalHealthy volunteers1547352260No
Bronson, 1997163NormalOther165629.52144Yes
Bronson, 1997163CTSUnspecified diagnosis227334.42159Yes
Del Pino, 1997104NormalHealthy volunteers10078493767No
Del Pino, 1997104CTSComplex objective standard1808150168437.91216No
Dellon, 1997107CTSUnspecified diagnosis72NRYes
Dellon, 1997107Cubital tunnel syndromeUnspecified diagnosis42NRYes
Dellon, 1997107NormalOther5262Yes
Franzblau, 1997208CTSWorkers at risk1485744.2Yes
Guglielmo, 1997247CTSSymptoms/ presented19860461384No
Guglielmo, 1997247NormalHealthy volunteers695740.32086No
Gunnarsson, 1997248CTSSymptoms/ presented100NRNo
Horch, 1997249NormalHealthy volunteers177143.42458No
Horch, 1997249CTSSimple nerve conduction196349.72567No
Jeng, 1997209CTSWorkers at risk275240.22357No
Kaneko, 1997250CTSUnspecified diagnosis15874054Yes
Kaneko, 1997250NormalHealthy volunteers46222545Yes
Kaneko, 1997250Cubital tunnel syndromeUnspecified diagnosis10204556Yes
Kaneko, 1997250Combined WRUEDsUnspecified diagnosis10504062Yes
King, 1997114CTSUnspecified diagnosis2962No
King, 1997114NormalHealthy volunteers10050No
Pierre-Jerome, 1997251NormalHealthy volunteers2810045.12667No
Pierre-Jerome, 1997251CTSSimple nerve conduction2710051.91678361272No
Radack, 1997252CTSComplex objective standardNRNo
Radack, 1997252NormalUnrelated diseaseNRNo
Radack, 1997252CTSSymptoms/ presented1615337.41386