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Chapter  55:  Diagnosis, Natural History, and Late Effects of Otitis Media With Effusion Volume 1: Evidence Report and Evidence Tables

A82728

Prepared for:

Agency for Healthcare Research and Quality

U.S. Department of Health and Human Services

2101 East Jefferson Street

Rockville, MD 20852

www.ahrq.gov

Contract No: 290-97-0001, Task Order No. 04

Prepared by:

Southern California Evidence-based Practice Center

EPC Director

Paul Shekelle, M.D., Ph.D.

Principle Investigators

Glenn Takata, M.D.

Linda S. Chan, Ph.D.

Investigators

Rita Mangione-Smith, M.D.

Pamela M. Corley, MSLS

Tricia Morphew, M.S.

Sally Morton, Ph.D.

AHRQ Publication No. 03-E023

May 2003

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 a basis for reimbursement and coverage policies. AHRQ or U.S. Department of Health and Human Services endorsement 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 health care decisionmakers—patients and clinicians, health system leaders, and policymakers—make more informed decisions and improve the quality of health care services.

Suggested Citation:

Shekelle P, Takata G, Chan L, et al. Diagnosis, Natural History, and Late Effects of Otitis Media with Effusion. Evidence Report/Technology Assessment No. 55 (Prepared by Southern California Evidence-based Practice Center under Contract No 290-97-0001, Task Order No. 4). AHRQ Publication No. 03-E023. Rockville, MD: Agency for Healthcare Research and Quality. May 2003.

Prepared for:

Agency for Healthcare Research and Quality

U.S. Department of Health and Human Services

2101 East Jefferson Street

Rockville, MD 20852

www.ahrq.gov

Contract No: 290-97-0001, Task Order No. 04

Prepared by:

Southern California Evidence-based Practice Center

EPC Director

Paul Shekelle, M.D., Ph.D.

Principle Investigators

Glenn Takata, M.D.

Linda S. Chan, Ph.D.

Investigators

Rita Mangione-Smith, M.D.

Pamela M. Corley, MSLS

Tricia Morphew, M.S.

Sally Morton, Ph.D.

AHRQ Publication No. 03-E023

May 2003

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 a basis for reimbursement and coverage policies. AHRQ or U.S. Department of Health and Human Services endorsement 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 health care decisionmakers—patients and clinicians, health system leaders, and policymakers—make more informed decisions and improve the quality of health care services.

Suggested Citation:

Shekelle P, Takata G, Chan L, et al. Diagnosis, Natural History, and Late Effects of Otitis Media with Effusion. Evidence Report/Technology Assessment No. 55 (Prepared by Southern California Evidence-based Practice Center under Contract No 290-97-0001, Task Order No. 4). AHRQ Publication No. 03-E023. Rockville, MD: Agency for Healthcare Research and Quality. May 2003.

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: Acting 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.

Director

Agency for Healthcare Research and Quality

Jean Slutsky, P.A., M.S.P.H.

Acting 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. The purpose of this evidence-based report is to review the evidence on the natural history of otitis media with effusion (OME), the late effects of early life otitis media on hearing and speech and language development, and the operating characteristics of various methods of diagnosing OME. OME is defined as “fluid in the middle ear without signs or symptoms of ear infection.” The evidence compiled in this report is intended to aid clinicians, health care provider organizations, and others to develop clinical practice guidelines or medical review criteria for OME. The report also identified areas for future research.

Search Strategy. The MEDLINE search strategy used both controlled vocabulary MeSH (Medical Subject Headings) terms and keywords to ensure that all relevant citations were retrieved. Search terms for otitis media with effusion were combined with search terms for natural history, speech and language development, hearing, and diagnosis. The otitis media module included otitis media, otitis media with effusion, suppurative otitis media, allergic otitis media, fluid ear, glue ear, middle ear effusion, mucoid otitis media, nonsuppurative otitis media, secretory otitis media, and serous otitis media. The natural history terms included natural course, natural history, placebo, placebos, resolution, self-limited, self-limiting, untreated, and a variety of terms for spontaneous resolution. The speech and language module included speech and language, speech and language disorders, child language, communication, communication disorders, language development and tests, voice, and voice disorders. The hearing module included hearing and hearing disorders and hearing aids and tests, as well as the text word hearing. The diagnosis module used diagnosis and diagnostic techniques and procedures, as well as the text words audiometry, diagnosis, diagnostic, otoscopy, tympanometry history, speech and language development, hearing, and diagnosis.

Selection Criteria. Excluded were studies on patients with immunodeficiencies, craniofacial anomalies (including cleft palate), primary mucosal disorders, or genetic conditions. Prospective cohort studies were included for questions that addressed natural history, speech, language, and hearing. Prospective diagnostic studies were used to evaluate the operating characteristics of diagnostic methods.

Data Collection and Analysis. Two physicians or one physician and one health services researcher independently screened all titles and/or abstracts for potential inclusion, evaluated the quality of the articles, and abstracted data from full-length articles onto pre-designed forms. The selection criteria included human studies that addressed a key question about OME in children. Excluded were case reports, editorials, letters, reviews, practice guidelines, and non-English language publications.

Main Results. We found that 22.5 to 42.7 percent of OME in children older than 3 years of age cumulatively resolves over a period of three months, depending on the definition of OME resolution. Based on a limited number of cohort studies, we found no evidence to support an impact of early life otits media, defined as a history of otitis media at less than 3 years of age, on expressive language, receptive language, or cognitive verbal intelligence at age older than 3 years. However, this evidence is insufficient to exclude the possibility that a clinically important effect does exist, therefore strong conclusions cannot be drawn about the effect of otitis media at an early age on subsequent speech and language development. The generalizability of this finding on speech and language is suspect because the populations represented by the six cohorts utilized in the meta-analyses were primarily those of particular ethnic/racial origin. Moreover, the findings cannot be generalized to children with craniofacial defects, primary mucosal disorders, immunodeficiencies, genetic conditions, or pre-existing developmental disorders, and may not necessarily be generalized to children with persistent bilateral otitis media. Children with early life otitis media have a higher risk of conductive hearing loss, defined using a threshold greater than or equal to 20 dB at any frequency with or without treatment, at age 6 to 10 years than children without early life otitis media. The pooled relative risk of conductive hearing loss was 2.6 (95% CI: 1.6 to 4.2). We found insufficient data to assess early-life OM on permanent (or sensorineural) hearing loss. Among nine diagnostic methods, pneumatic otoscopy had the best apparent performance with a sensitivity of 93.8 percent (95% CI: 91.4%, 96.3%) and a specificity of 80.5 percent (95% CI: 75.1%, 86.0%). However, tester qualifications were reported inconsistently, and training was not specified.

Conclusions. Although these estimates must be viewed with great caution due to heterogeneity that arose from study design and documentation issues for which we could not adjust in our analysis, about 22.5 to 42.7 percent cumulatively resolved over a period of three months, depending on the definition of OME resolution. Our findings on the possible effects of early life otitis media on speech and language development are in general agreement with the 1994 Agency for Healthcare Research and Quality OME guideline conclusion that rigorous, methodologically sound research does not adequately support or refute the possible effect of otitis media on speech and language. We found that children with early life otitis media have a greater risk of conductive hearing loss at age 6 to10 years. In addition, we found that pneumatic otoscopy had the best operating characteristics among the nine alternatives examined, for diagnosing the presence of middle-ear effusion in OME at single points in time.

Considering the abundance of literature addressing otitis media, these findings concerning natural history, speech and language development, and hearing are very limited. Future research on the natural history of otitis media with effusion must focus on improving study quality. In particular, control of therapeutic intervention during the study and the distinction between OME persistence and recurrence needs to be addressed. For evaluation of long-term effects of early life otitis media on speech, language, or hearing, a coordinated approach that uses uniform definitions and considers the interactions of multiple risk factors, interventions, and outcome measures is recommended. Such an integrated approach is also important for the evaluation of diagnostic methods. Further, a systematic review of diagnostic studies that employ algorithms or aggregated scores may be useful.

Summary

Overview

The purpose of this evidence-based report is to review the evidence on the natural history of otitis media with effusion (OME), the impact of otitis media on long-term speech and language development and on hearing, and the operating characteristics of various methods of diagnosing otitis media with effusion. OME is defined as “fluid in the middle ear without signs or symptoms of ear infection.” The evidence compiled in this report is intended to aid clinicians, health care provider organizations, and others to develop clinical practice guidelines or medical review criteria for OME. The report will also identify areas for future research.

Reporting the Evidence

Based on degree of importance (including level of controversy) and feasibility of answering the question, the Technical Expert Panel limited the scope of this evidence report to four key questions. These questions address (1) the natural history of otitis media with effusion (OME), (2) the long-term effects of early-life otitis media, defined as positive otitis media history at less than three years of age, on speech and language development, (3) the long-term effects of early-life otitis media on hearing, and (4) the operating characteristics of various methods of diagnosing otitis media with effusion.

Methodology

A 12-member Technical Expert Panel that consisted of clinical experts, a consumer, and a representative of a managed care organization convened to provide the following assistance:

  • advise the project in the ranking of proposed key questions and influencing factors

  • guide the development of the scope and definition of OME

  • advise in development of the search strategy, and

  • review and comment on the plan of analysis.

The Technical Expert Panel and project staff developed a literature search strategy. Project staff searched MEDLINE (1966-January 2000), the Cochrane Library (through January 2000), and EMBASE (1980-January 2000). Additional articles were identified by review of reference lists in proceedings, published articles, reports, and guidelines.

The MEDLINE search strategy used both controlled vocabulary MeSH (Medical Subject Headings) terms and keywords to ensure that all relevant citations were retrieved. The strategy included search terms for otitis media with effusion combined with search terms for natural history, speech and language development, hearing, and diagnosis.

The otitis media module included otitis media, otitis media with effusion, suppurative otitis media, allergic otitis media, fluid ear, glue ear, middle-ear effusion, mucoid otitis media, nonsuppurative otitis media, secretory otitis media, and serous otitis media.

The natural history terms included natural course, natural history, placebo, placebos, resolution, self-limited, self limiting, and untreated, as well as a variety of terms for spontaneous resolution.

The speech and language module included speech and language, speech and language disorders, child language, communication, communication disorders, language development and tests, voice, and voice disorders.

The hearing module included hearing and hearing disorders, hearing aids and tests, and the text word hearing.

The diagnosis module used diagnosis and diagnostic techniques and procedures, as well as the text words audiometry, diagnosis, diagnostic, otoscopy, and tympanometry.

Two physicians or one physician and one health services researcher independently screened all titles and/or abstracts for potential inclusion, evaluated the quality of the articles, and abstracted data from full-length articles onto pre-designed forms. The selection criteria included human studies that addressed a key question about OME in children. Excluded were case reports, editorials, letters, reviews, practice guidelines, non-English language publications, and studies on patients with immunodeficiency disorders or craniofacial anomalies, including cleft palate.

For the natural history question, we used only prospective cohort(s) studies on untreated subjects from which outcome data were abstractable for children up through age 12 years. For the speech and language and hearing questions, we used only prospective cohort studies that fulfilled the following criteria: the degree of OME was determined during the first three years of life, upper age limit was 22 years, the degree of OM was graded in some way, and the outcome was measured when the child was older than age three years. For the diagnostic methods question, we used only prospective studies on children up through 12 years of age that fulfilled four criteria: the diagnostic procedure of interest was performed within 24 hours of the reference standard, was not an algorithm or combination of multiple diagnostic procedures, used one of the acceptable reference standards specified in the scope, and produced abstractable data.

The first step of all analyses was to obtain a distribution of studies stratified by the population characteristics, type of outcome measures, and non-treatment factors. This step provided us with an overview of the emphasis of past research in this area and an opportunity to identify gaps and areas for future research.

In strata with more than three studies, we performed a meta-analysis for a pooled random effects estimate of an outcome with 95% confidence intervals. In addition to deriving the pooled estimate, we evaluated the heterogeneity of the study outcomes. For the evaluation of diagnostic methods, we estimated the sensitivity, specificity, and positive and negative predictive values for each diagnostic procedure compared to a particular reference standard with three or more studies.

This evidence report was reviewed by the Technical Expert Panel as well as an 18-member peer review panel that consisted of content experts, consumers, representatives of managed care organizations, an expert in pediatric pharmacology, and methodologists. All comments received from these individuals were reviewed and acted upon appropriately.

Findings

Natural History of OME

  • No meta-analyses for children under three years of age were possible, because we could identify only two studies each for the <six months and the three-months-to-three-years age groups. For the over-three-years age group, two sets of meta-analyses showed that 22.5 to 42.7 percent of ears with OME cumulatively resolved over a period of three months, depending on the definition of OME resolution. These estimates must be viewed with caution due to the clinical heterogeneity evident in the data synthesized and due to the weaknesses of design or documentation of the study cohorts. In particular, in most cases investigators did not document whether subjects had received medical or surgical treatment during the course of the study that could affect OME outcome or how compliance with non-treatment was established. Of those investigators who reported how many children received treatment, the majority did not stratify their findings by treatment status.

  • A few of the studies analyzed OME resolution by influencing factors such as gender, care at home versus daycare, season, side of affected ear, race or ethnicity, or diagnostic instrument. Because of the paucity of such studies, quantitative synthesis was not possible, and we refrain from making any conclusions regarding the effect of these influencing factors on resolution.

  • As measured by scoring of documentation in the published articles, the quality of the twenty-eight cohort studies on natural history was generally poor.

  • Half of the studies that attempted to study the natural history of OME did not control for or document control of interventions, either medical or surgical, that might affect OME outcome during the study period. The majority of these studies did not stratify findings by intervention status.

  • The interval between examinations for OME in these studies ranged from one day to three years. For studies with long follow-up intervals, it was not possible to determine whether the presence of OME was due to persistence or recurrence. The criteria for follow-up varied among studies. Most studies continued follow-up for the duration of the study period regardless of the OME status at a particular exam, but four cohorts discontinued follow-up of individuals who had type A or normal tympanograms at any exam.

Early-Life OM and Long-Term Speech and Language Development

  • Studies that addressed the effects of early-life otitis media on long-term speech and language development among children differed considerably with respect to risk factors studied, type of outcome measured, method of measurement, unit of measurement, age at outcome determination, and study design.

  • The meta-analyses that could be conducted on long-term expressive language, receptive language, and cognitive verbal intelligence showed no effect of early otitis media as measured during the first three years of life. These findings may not be generalizable, since five of the six cohorts that were included in these three meta-analyses focused primarily on children from specific ethnic/racial groups or from particular socioeconomic groups. Furthermore, the results of these studies cannot be applied to children with craniofacial defects, primary mucosal disorders, immunodeficiency disorders, genetic conditions, or pre-existing developmental disorders, because children with these conditions were excluded from this analysis. In addition, only one of the studies included in these meta-analyses focused solely on persistent bilateral otitis media as opposed to unspecified unilateral or bilateral otitis media.

Early-Life OM and Long-Term Hearing

  • Few studies on the effects of early-life otitis media on long-term hearing used a prospective cohort study design.

  • Of the eight cohort studies analyzed, one set of four studies reported percentage of conductive hearing loss at six to ten years of age. For this analysis, the threshold for conductive hearing loss was defined as greater than or equal to 20 dB at any frequency, with or without treatment of otitis media.

  • The pooled risk of conductive hearing loss at six to ten years among 346 children who had a positive history of early-life OM was 22 percent (95% CI: 7% to 36%). In contrast, the pooled risk ofconductive hearing loss at six to ten years of age among 237 children with no history of early-life OM was 6 percent (95% CI: 1% to 12%). The pooled rate difference of conductive hearing loss at six to ten years of age between children with a positive OM history and those with a negative OM history was 11 percent (95% CI: 3% to 19%). Neither the studies pooled for the rate difference nor the studies pooled for the risk ratio showed significant heterogeneity in the outcomes.

  • The findings were based on four homogeneous, though very different populations, one from Finland, another from Sweden, one primarily of American Indian children, and another primarily of Eskimo children. The four studies also differed on the definition and collection of OM history and on exclusion factors.

  • We found insufficient data to assess the impact of early-life OM on permanent (sensorineural) hearing loss.

Diagnostic Methods for OME

  • Based on our evaluation of 52 diagnostic studies, we were able to assess the ability of the following methods to diagnose middle-ear effusion in OME at a single point in time: acoustic reflectometry at ≤5 or >5 reflective units (RU); pneumatic otoscopy; portable tympanometry; professional tympanometry using acoustic reflex at 500 or 1000 Hz; professional tympanometry using static compensated acoustic admittance at 0.1, 0.2, and 0.3; professional tympanometry using B curve as abnormal; and professional tympanometry using B or C2 curves as abnormal. All comparisons used myringotomy as the reference standard.

  • Among the eight diagnostic methods, the receiver-operator characteristic points (plotting sensitivity against 1 minus specificity) showed that pneumatic otoscopy was closest to the optimal operating point where both sensitivity and specificity would be 100%. However, tester qualifications were reported inconsistently, and training was not specified. The pooled sensitivity was 94 percent (95% CI: 91%, 96%) and the pooled specificity was 80 percent (95% CI: 75%, 86%). These findings were based on 2,694 children from seven studies that reported a pooled prevalence of OME of 63 percent (95% CI: 58%, 67%). The prevalence rate ranged from 56 percent to 71 percent, which indicated significant heterogeneity among outcomes (p<0.001).

Limitations of the Literature

  • Natural History of OME: Literature on the natural history of otitis media with effusion was difficult to interpret because of its generally poor quality, the lack of control for therapeutic interventions, the inability to distinguish persistent from recurrent OME due to the length of follow-up intervals, and the varied criteria for continued follow-up from exam to exam. Differing definitions of OME resolution and diagnostic methods made comparison difficult. Few studies considered the child or the episode as the unit of analysis, included younger children, or assessed types of OME other than newly diagnosed OME of unknown duration. In addition, few studies addressed the possible effects of influencing factors on OME resolution.

  • Early-Life OM and Long-Term Speech and Language Development: The literature on the long-term effects of early-life otitis media on speech and language development diverged considerably with respect to methodology. As a result, findings could not be combined easily.

  • Early-Life OM and Long-Term Hearing: Although the literature on the long-term effects of early-life otitis media on hearing was abundant, few studies used a prospective cohort study design. Because of the limited nature of this evidence and because the rate of intervention is highly dependent on the threshold hearing level adopted, the findings of this analysis should be applied with caution.

  • Diagnostic Methods for OME: Nine comparisons of diagnostic methods enabled derivations of pooled estimates of diagnostic accuracy. However, more comparisons could not be made, including those that would have evaluated clinical signs and/or symptoms, air and/or bone threshold audiometry, binaural micro-tympanoscopy, and non-pneumatic otoscopy. Diagnostic methods that use algorithms or aggregated scorings are important but are not included in this evidence assessment.

Future Research

Future research on the natural history of otitis media with effusion must focus on improvement of study quality and establishing the effect of OME on long-term outcomes such as speech, language, and hearing. In particular, control of therapeutic interventions during the study and the distinction between OME persistence and recurrence need to be addressed. Adopting a less restrictive definition of non-intervention might simplify the analysis of studies of the natural history of OME. In addition, researchers, in conjunction with clinicians, should agree upon standard procedures for follow-up, including intervals of follow-up, definition of OME resolution, and diagnostic methods, so that resolution rates are indeed comparable. Future research must consider the child as the unit of analysis, since the outcomes of ultimate interest, such as speech, language, and hearing, are functional requirements of a child, not an ear. More research is needed on the role of influencing factors on the natural history of OME, so that the clinician on a particular day in a particular setting can make a better decision when assessing a particular child with particular characteristics.

Evaluation of long-term effects of early-life otitis media on speech, language, or hearing requires a coordinated systematic approach that uses a rational conceptual framework. Such an approach should address the risk factors, interventions, and outcome measures in an integrated fashion. The definition, classification, and type and unit of measure should be developed by a team of experts with the goal of standardizing definitions and approaches. Literature on findings should report both univariate and multivariate findings to enhance understanding of the patient and study characteristics and to allow pooling of data. An integrated approach is also important for the evaluation of diagnostic methods. Such an approach will provide guidance for future studies. Future studies of diagnostic assessments of OME also should consider cost-effectiveness analysis, which can take into account the variable proficiency of clinicians in performing pneumatic otoscopy as well as the consequences of testing and patient preferences. Cost-effectiveness analysis will lead to a more informed decision on the best diagnostic method for OME.

Chapter 1. Introduction

Purpose

The purpose of this evidence-based report is to review the evidence on the diagnosis, natural history, and late effects of otitis media with effusion (OME) on long-term speech, language, and hearing. The evidence compiled in this report is intended to aid clinicians, health care provider organizations, and others to develop clinical practice guidelines or medical review criteria for OME. The report will also identify areas for future research. Despite the relatively recent publication of the 1994 Otitis Media with Effusion in Children guideline (Stool, Berg, Berman, et al., 1994), the technical experts believed that OME remained a topic worthy of evidence-based inquiry due to the continued controversy over the care of children with OME and the potential availability of new information.

Scope of Work

The technical experts initially proposed 20 questions that addressed 10 broad areas related to the diagnosis and treatment of otitis media with effusion: (1) allergens, (2) natural history, (3) speech and language, (4) diagnostic methods, (5) surgical interventions, (6) hearing, (7) antibiotics, (8) steroids, (9) antihistamines and decongestants, and (10) alternative or complementary therapies. These twenty questions were ranked based on the following criteria: (1) degree of potential impact on OME outcomes and on future guideline development and (2) the feasibility of answering the question within the one year time frame and the availability of new information in the literature. The scope of this report covers the four highest ranked questions: (1) the natural history of otitis media with effusion (OME), (2) the long-term impact of early-life otitis media on speech and language, (3) the long-term impact of early-life otitis media on hearing, and (4) the accuracy of methods of diagnosis of otitis media with effusion.

Definition

The definition of otitis media has been a complicated issue. Ben H. Senturia, quoted in Bluestone (1999), stated that “In the past, there has been a confusion of terms, in part because of a failure to distinguish conceptually between the disease process, otitis media, and one of the manifestations of that disease process, namely otitis media with effusion. Otitis media is dynamic and at any one time should be considered a single point in a continuum of the disease process.”

Recent comments on the definition of OME point to some of the complex issues involved:

  1. The OME guideline (Stool, Berg, Berman et al., 1994) defined OME as “fluid in the middle ear without signs or symptoms of ear infection.” The guideline listed the following synonyms for OME: serous otitis media, secretory otitis media, allergic otitis media, catarrhal otitis media, nonsuppurative otitis media, mucoid otitis media, secondary otitis media, hydrotubotympanum, exudative catarrh, tubotympanitis, tympanic hydrops, glue ear, fluid ear, middle ear effusion, and tubotympanic catarrh.

  2. Bluestone (1999) defined otitis media with effusion (OME) as “an inflammation of the middle ear with liquid collected in the middle-ear space. The signs and symptoms of acute infection are absent and there is no perforation of the tympanic membrane.” He stated that middle-ear effusions can be acute (< 3 weeks), subacute (3 weeks to 3 months), or chronic (> 3 months). He also stated that researchers should precisely define OME.

  3. Patterson and Paparella (1999) agreed that the different forms of otitis media (OM) are “interrelated and occur in a continuum.” They recognized OME as one of the three major forms of OM, the other two being chronic OM (active or inactive) and silent OM. They classified OME as serous OM, purulent OM, and chronic OM. They divided serous OM into acute serous OM, chronic serous OM, and mucoid OM.

  4. Jung and Hanson (1999) agreed that OM consists of various stages. Though they viewed purulent otitis media, serous otitis media, and mucoid otitis media as different stages, they considered OME to encompass all three, except the early stages of acute otitis media (AOM).

  5. Paradise (1995) also agreed that “AOM and OME constitute elements in an otitis media disease spectrum, that there often is a transition zone between them and that the two conditions sometimes may be indistinguishable from each other diagnostically.”

For this evidence report, the Technical Expert Panel decided to use the definition used in the OME Guideline (Stool, Berg, Berman et al., 1994): “fluid in the middle ear without signs or symptoms of ear infection.”

Diagnosis

Various methods have been proposed for the diagnosis of OME. The OME guideline panel drew several conclusions regarding diagnosis of OME (Stool, Berg, Berman et al., 1994). They recommended the use of pneumatic otoscopy as the primary diagnostic method with tympanometry as a confirmatory diagnostic method. These recommendations were based on limited scientific evidence and strong panel consensus and on limited scientific evidence and expert opinion, respectively. The OME guideline panel found no evidence linking the outcome of algorithms that combine the results of pneumatic otoscopy and tympanometry to the presence of middle-ear effusion. In addition, the panel believed that the evidence was insufficient to make any recommendation regarding the use of acoustic reflectometry in the diagnosis of OME. Finally, the panel decided not to make a recommendation on the use of tuning fork tests in the diagnosis of OME due to the lack of adequate studies. The OME guideline panel did not present any meta-analyses on diagnostic methods.

Pneumatic otoscopy is performed with a handheld unit that consists of a light source, a magnifying lens, and a speculum. The otoscope allows visual inspection of the tympanic membrane as well as the external ear canal. With the speculum securely in place, the degree of movement of the tympanic membrane in response to pneumatic pressure may be observed. Decreased tympanic membrane mobility in response to pneumatic pressure is believed to be related to the presence of middle-ear effusion as found in OME. (Carlson and Stool, 1999)

Tympanometry is performed by inserting into the ear a probe that emits a tone and measures the amount of sound energy reflected from the tympanic membrane as a function of ear canal air pressure. The instrument may or may not be handheld. The output of tympanometric measurement may be qualitative, that is, tympanogram patterns, or quantitative, for example static admittance, equivalent ear volume, tympanometric width, tympanometric peak pressure, or acoustic reflex. The flat or type B tympanogram is believed to be associated with the presence of middle-ear effusion. The type A tympanogram is believed to indicate normal middle-ear status. The relationship of the type C tympanogram to middle-ear status is less clear. (Carlson and Stool, 1999; Nozza, 1996)

The acoustic middle-ear muscle reflex, either ipsilateral or contralateral, may also be measured by acoustic emittance instruments and represents the contraction of the stapedius and tensor tympani in response to sound stimulation. Its absence may be related to the presence of middle-ear effusion depending on the clinical situation (Nozza, 1996).

Acoustic reflectometry is performed using a handheld instrument that measures the response of the tympanic membrane to a frequency-sweep sound spectrum. The spectral gradient angle, which is a function of the frequency and amplitude, may be related to middle-ear effusion presence. (Carlson and Stool, 1999; Nozza, 1996)

Evoked otoacoustic emissions are a measure of ear canal sounds that are generated in the cochlea. These sounds have the potential for clinical application (Nozza, 1996).

Audiometry measures hearing acuity, using behavioral or non-behavioral methods, at various sound frequencies. It is known that children may have decreased hearing in the presence of middle-ear effusion (Carlson and Stool, 1999). Although no “universal agreement” appears to exist regarding the definition of hearing loss, a hearing threshold no worse than 15 decibels (dB) is considered normal in children, and 20 dB may be considered normal in older children (Madell, 1999)

Epidemiology: Prevalence and Incidence

Accurate estimates of the prevalence or incidence of OME were not found, since published population-based estimates are not available on the specific diagnosis of OME. Data on office visits reported from the National Ambulatory Medical Care Survey (NAMCS) provide the best indication of prevalence and incidence of the disease, although nonsuppurative, suppurative, and unspecified otitis media were all grouped into the term otitis media, and OME was not separated from AOM in the analyses (Schappert, 1992;Schappert, 1996; Woodwell, 1997a; Woodwell, 1997b; Woodwell and Schappert, 1995). Gates (1996), commenting on the NAMCS data, stated, “for children it is probably safe to presume that AOME [AOM with effusion, i.e. AOM] is the principal disorder noted in these surveys.” The OME Guideline panel of the Agency for Health Care Policy and Research [presently the Agency for Healthcare Research and Quality (AHRQ)] estimated that 25 percent to 35 percent of the NAMCS visits for otitis media were for OME (Stool, Berg, Berman et al., 1994a).

Schappert (1992) reported on the 1975 to 1990 NAMCS data. Visits by patients younger than 15 years of age constituted 70.6 percent of all office visits with the principal diagnosis of otitis media in 1975, 78.9 percent of all office visits with the principal diagnosis of otitis media in 1980, 81.9 percent of all office visits with the principal diagnosis of otitis media in 1985, and 80.5 percent of all office visits with the principal diagnosis of otitis media in 1990. From 1975 to 1990, the percent of office visits with otitis media as the principal diagnosis increased among those less than 15 years of age; from 7.3 percent to 17.4 percent for children under 2 years old, from 10.4 percent to 18.1 percent for the 2-5 year olds, from 6.9 percent to 10.5 percent for the 6-10 year olds, and from 2.6 percent to 5.2 percent for the 11-14 year olds. The number of visits with a principal diagnosis of otitis media per 100 persons per year for the same time period (1975 to 1990) increased from 31.5 to 102.1 for children less than 2 years of age, 20.8 to 47.8 for those 2-5 years of age, 10.2 to 18.2 for those 6-10 years of age, and 3.3 to 8.0 for those 11-14 years of age.

Rosenfeld (1994) noted that about a quarter of OME cases are discovered incidentally during well-child examinations. About 60 percent of children would have OME by 2 years old and 80 percent before school entry. The Agency for Healthcare Research and Quality 1994 OME guideline reported that in one study of children 2 to 6 years old in group child care, 53 percent had at least one episode of OME during the first year of the study, 61 percent had at least one episode during the second year of the study, and 30 percent had recurrent OME (Stool, Berg, Berman et al., 1994).

NAMCS also stratified data by specific physician type. From 1975 to 1990, the percent of office visits with a principal diagnosis of otitis media increased for pediatricians from 8.1 percent to 14.3 percent, for general practitioners and family physicians from 1.3 percent to 3.5 percent, and for otolaryngologists from 12.8 percent to 20.2 percent.

Data for 1975 to 1990 were also stratified by age. In 1990, the number of visits with a principal diagnosis of otitis media per 100 persons per year among children younger than 2 years was 62.9 for pediatricians, 24.0 for general practitioners and family physicians, and 9.1 for otolaryngologists. In 1990, the number of visits with a principal diagnosis of otitis media per 100 persons per year among children 2 to 5 years old was 29.0 for pediatricians, 11.4 for general practitioners and family physicians, and 6.6 for otolaryngologists (Schappert, 1992).

The reports on the NAMCS data for 1993 to 1996 did not stratify by age (Schappert, 1996; Woodwell, 1997a; Woodwell, 1997b; Woodwell and Schappert, 1995). However, if the 1993 to 1996 data were similar to that in 1975 to 1990, it would be reasonable to conclude that the majority of these patients were younger than 15 years of age.

NAMCS office visit data for 1993 to 1996 generally support earlier data. Suppurative and unspecified otitis media was the third most frequently listed principal diagnosis in 1993, the sixth most frequent in 1994, the fourth most frequent in 1995, and the seventh most frequent in 1996 for ambulatory care visits to physician offices, hospital outpatient departments, and emergency departments (Schappert, 1996; Woodwell, 1997a; Woodwell, 1997b; Woodwell and Schappert, 1995). In 1996, visits for a principal diagnosis of otitis media and eustachian tube disorders occurred 82.8 percent of the time in physician offices, 5.3 percent in hospital outpatient departments, and 11.9 percent in emergency departments (Woodwell, 1997a).

The NAMCS also provided data on the duration of office visits for otitis media. The percent of visits for otitis media of duration 6-15 minutes increased between 1975 to 1990 from 64 percent to 78 percent and was associated with a decrease in visits less than six minutes from 24 percent to 13 percent (Schappert, 1992). In terms of surgical procedures, the rate of ambulatory surgery visits per 10,000 population for those younger than 15 years of age for otitis media and eustachian tube disorders was 86.9 in 1994 and 83.9 in 1995, based on 498,000 and 484,000 visits respectively ( Hall and Lawrence, 1997; Kozak, Hall, Pokras et al., 1997). In 1995, the number of myringotomy with tympanostomy tube placements reported by NAMCS was 521,000 for a rate of 90.2 such procedures per 10,000 children less than 15 years of age (Hall and Lawrence, 1997).

In general, the NAMCS data demonstrated the significance of otitis media—and by implication OME—based on the prevalence and incidence of the disease and the frequency and duration of visits and surgical interventions.

Burden of Illness Due to Otitis Media with Effusion

The treatment, complications and sequelae, and adverse effects of otitis media, including OME, are a substantial financial burden to the nation. Three estimates of the cost of otitis media (OM) are found in the literature (Gates, 1996b; Stool and Field, 1989; Stool, Berg, Berman et al., 1994). A fourth study reported the cost per episode of “persistent middle ear infection” (Berman, Roark, and Luckey, 1994). We have assessed the strengths and weaknesses of these four studies and presented our own estimate of otitis media costs in a previous evidence-based analysis (Takata, Chan, Shekelle, et al., in press).

Gates (1996b) placed the annual national total cost of acute otitis media at $3.15 billion for the 0- to 4-year old age group in an unspecified date in the early or mid-1990's and placed the cost of treatment of chronic otitis media with effusion at $1.854 billion dollars per year (Gates, 1996). Stool and Field (1989) put the national cost of otitis media at $2.4-3.4 billion in the 0- to 6-year old age group in an unspecified year presumably in the middle or late 1980's. Both Gates (1996b) and Stool and Field (1989) assumed prevalences of otitis media that were at variance with the only available national data on the utilization of care visits for otitis media. Stool, Berg, Berman, et al. (1994) presented the only estimate of the national cost of otitis media using a data-based estimate of costs per case. Using claims data from more than 100 health insurers, they estimated the overall average cost of treating a 2-year old child with OME in 1991 to be $1,330 and the national total cost of OME in 1991 to be $1.09 billion. Berman, Roark, and Luckey (1994) estimated the cost of treating persistent middle ear effusion in a 13-month old boy at $720-$1,372 under Colorado Medicaid reimbursement levels in 1992 and $1,265-$2,588 under private practice reimbursement rates. Not all these studies included the indirect cost of family caregiving services required due to a child having otitis media.

An attempt to provide an updated estimate on the cost of otitis media included insights into the cost of OME and chronic middle ear infection (Takata, Chan, Shekelle, et al., in press). This estimate was derived for the year 1995, referred to children under 18 years of age, and was based on reports of national, rather than regional, utilization for otitis media such as the National Ambulatory Medical Care Survey and the National Health Interview Survey. Using these national data sets, it was estimated that 2.22 million episodes of OME or chronic middle ear infection occurred in 1995. It was assumed that eighty percent of these episodes were unrelated to acute otitis media. Data from three sources (Stool, Berg, Berman et al., 1994; Berman, Rourke, and Lucky, 1994; and the U.S. Bureau of the Census, 1992,1996) were used to estimate direct, indirect, and total costs of $1,321, $490.25, and $1,811 for treatment of an episode of OME or chronic middle ear infection. For 1995, the total national cost of treating OME or chronic middle ear infection would stand at $4.02 billion.

Whether based on the four prior estimates of otitis media or OME cost or the more recent estimate, the economic burden of OME on the nation is large. Any effort to improve cost-effective care of OME will result in significant savings in national medical expenditures as well as improved quality of care provided to children with OME.

Chapter 2. Methodology

Nomination of Technical Experts

Eleven organizations were contacted for technical expert and peer reviewer nominations. They included the American Academy of Family Physicians (AAFP), the American Academy of Pediatrics (AAP), the American Academy of Otolaryngology-Head and Neck Surgery Foundation (AAO-HNS), the Ambulatory Pediatric Association (APA), the American Academy of Audiology (AAA), the American Speech-Language-Hearing Association (ASHA), the Society for Ear Nose and Throat Advances in Children (SENTAC), the National Association of Pediatric Nurse Associates and Practitioners (NAPNAP), the American Association of Health Plans (AAHP), the Foundation for Accountability (FACCT), and Family Voices.

Table 1. Technical Expert Panel
Technical ExpertArea of ExpertiseAffiliation/Location
Larry Culpepper, MD, MPHFamily MedicineBoston Medical Center, MA
Douglas G. Long, MDFamily MedicineManchester Community Health Center, NH
Richard M. Rosenfeld, MD, MPHOtolaryngologySUNY Health Science Center Brooklyn, NY
Norman Wendell Todd, Jr., MDOtolaryngologyEmory University, GA
Allan Lieberthal, MDPediatricsSouthern California Kaiser Permanente Medical Group, CA
Anthony Magit, MDPediatric OtolaryngologyChildren's Hospital San Diego, CA
Jack Paradise, MDPediatricsChildren's Hospital, Pittsburgh, PA
Ross Miller, MDQuality ManagementCIGNA Health Care, CA
Joanne Roberts, PhDSpeech and HearingUniversity of North Carolina, NC
Lisa L. Hunter, PhDAudiologyUniversity of Minnesota, MN
Linda Carlson, MS, RN, CPNPNurse PractitionerStatesboro, GA
Fran Goldfarb, MAConsumerFamily Voices, Los Angeles, CA
Upon receiving nominations from the agencies, we identified 12 technical experts to serve on the panel. Included were two family physicians, two otolaryngologists, three pediatricians, one audiologist, one speech and hearing expert, one managed-care representative, one nurse practitioner, and one consumer. Table 1 lists the membership of the Technical Expert Panel.

Topic Assessment and Refinement

A draft work plan for the topic assessment and refinement phase was mailed to the technical experts and representatives of our partners (the American Academy of Pediatrics, the American Academy of Family Practice, and the American Academy of Otolaryngology-Head and Neck Surgery) for review and comments together with a preliminary review that provided a summary of:

  • Incidence and prevalence of otitis media with effusion, treatment and management alternatives, the characteristics and size of the affected populations, and the most affected practice settings and providers;

  • The burden of illness associated with otitis media with effusion, including morbidity and mortality.

  • Extent to which variation exists in practices associated with the prevention, diagnosis, treatment, or diagnosis and treatment of otitis media with effusion.

We reviewed and compiled four previously conducted evidence-based analyses on otitis media with effusion. Particular attention was given to the report of The Otitis Media Guideline Panel on “Managing Otitis Media with Effusion in Young Children” ( Stool, Berg,Berman et al., 1994) We distributed these reports to the panel of technical experts for review and for preparation of the initial telephone conference call during which assessment and refinement of the topics wereassessed and refined.

Identification of Key Questions

Table 2. Questions Suggested for Consideration in Evidence Report
1.What is the relative risk of developing OME in the child who has food or inhalant allergies compared to the child without food or inhalant allergies
2.What is the natural history for various types of OME?
3.What is the long-term level of speech and language development in infants and preschool children with untreated OME? What are the high risk groups?
4.What is the accuracy of various diagnostic methods?
5.When should conservative treatment (non-surgical) be considered a failure?
6.What is the evidence on effectiveness of various diagnostic instruments in deciding on intervention for OME?
7.What is the evidence regarding level of hearing decrease and whether unilateral or bilateral hearing decrease is an indication for intervention?
8.What is the effectiveness of the use of hearing levels to decide on intervention for OME?
9.Are antibiotics more effective than placebo in treating OME?
10.Are steroids more effective than placebo in treating OME?
11.Do antibiotics add an incremental benefit to steroids in treating OME?
12.Are interventions for allergies (food or inhalant) more effective than placebo in treating OME?
13.Are antihistamines and/or decongestants more effective than placebo in treating OME?
14.Are tympanostomy tubes more effective than other interventions in treating OME?
15.Is adenoidectomy more effective than other interventions in treating OME of greater than 3 months duration?
16.Is tonsillectomy more effective than other interventions in treating OME of greater than 3 months duration?
17.Is myringotomy more effective than other interventions in treating OME of greater than 3 months duration?
18.Are alternative or complementary therapies more effective than other interventions in treating OME of greater than 3 months duration?
19.Are prophylactic antibiotics more effective than other interventions in treating OME?
20.What is the effectiveness of monitoring by pneumatic otoscopy, tympanometry, acoustic reflectometry with spectral gradient, and otoacoustic emissions to decide on intervention for OME?
Prior to the first conference call, we asked each technical expert to submit questions for consideration in the evidence report. The project team organized the responses and compiled an initial list of 20 key questions from the original task order and the letters from the nominating agencies (Table 2). This document was distributed to the technical experts after the first conference call, together with a polling form requesting the ranking of the top 10 key questions. The technical experts were asked to rank 10 of the 20 questions from 10 to 1, using 10 as the most important and 1 as the least important. The criteria for ranking were:

  1. importance, which included

    1. potential impact on OME outcomes and

    2. potential impact on development of future OME guidelines by the partner organizations; and

  2. feasibility, which included

    1. possibility of conducting a literature search, review, and data synthesis in 6 months,

    2. availability of sufficient information (data) in the literature to answer the question, and

    3. if applicable, sufficient new information (data) available to affect the results of the last systematic review of the question significantly.

Table 3. Ranking of Potential Key Questions. Of the 20 questions, each technical expert ranked the top 10 questions from 10 (highest priority) to 1 (lowest priority), (experts’ identification numbers were randomly assigned)
Topic of questionRank TotalE1E2E3E4E5E6E7E8E9E10E11E12
1.Food or inhalant allergies853
2.Natural history781091097942675
3.Speech and language development9781048958510101010
4.Accuracy of diagnostic methods5751061069812
5.Conservative treatment39956413191
6.Diagnostic instruments vs intervention3878698
7.Level of hearing decrease67.5778496.5989
8.Hearing levels and intervention16.56136.5
9.Antibiotics versus placebo516496517526
10.Steroids versus placebo2347165
11.Antibiotics and steroids22523354
12.Treatment for allergies vs placebo211
13.Antihistamines/decongestants vs placebo1010
14.Tympanostomy tubes vs other interventions51318102244368
15.Adenoidectomy vs other interventions32721532237
16.Tonsillectomy vs other interventions22
17.Myringotomy vs other interventions523
18.Alternative/complementary therapies vs other interventions10271
19.Prophylactic antibiotics vs other interventions154344
20.Effectiveness of diagnostic methods for monitoring3689883

Note: Kendall Coefficient of Concordance = 0.36, p=0.0001.

Table 4. Comments from Technical Expert Panel on Potential Key Questions
Potential Key QuestionsComments/Notes
1.What is the relative risk of developing OME in the child who has food or inhalant allergies compared to the child without food or inhalant allergies?
  • Difficult to obtain evidence

  • Doesn't seem to have adequate research base

  • Assumed to be a minor player, but there could be a surprise here

2.What is the natural history for various types of OME?
3.What is the long-term level of speech and language development in infants and preschool children with untreated OME? What are the high risk groups?
  • Evidence incomplete

  • Several new prospective studies are available

  • This is probably the most important single question for justifying surgical intervention

  • Available results inconsistent and/or contradictory. No definitive answers yet available

4.What are the accuracy of various diagnostic methods?
  • Combine with 6 and 20

  • Probably not much data there

  • Add binocular micro-tympanoscopy, MRI, and quantitative tympanometry to the list of methods of diagnosing OME. Binocular micro-tympanoscopy, which I do to every patient that I assess in the clinic, is using the surgical “operating” microscope to view each tympanic membrane. I think MRI should be the “gold standard” (see Swarts JD et al.: In vivo observation with magnetic resonance imaging of middle ear effusion in response to experimental underpressures. Ann Otol Rhinol Laryngol 104:522-528, 1995). To diagnose OME by looking at the tympanic membrane is traditional, but provides only a look at the “window on the middle ear”. To use fluid found at myringotomy as the “gold standard” assumes that either (1) no inhalational general anesthetic has been given to the patient, or (2) there is no effect of inhalational general anesthetic on the finding of fluid in that part of the mesotympanum when the myringotomy is done. Since practically, inhalational general anesthetic is usually administered to patients getting myringotomy in the US in 1999, I'm not comfortable with this first assumption. From clinical experience, I've very uncomfortable with the second assumption. MRI also affords an opportunity to measure the volume of the middle ear system (I'm including mastoid, mesotympanum, epitympanum and all the spaces normally containing “gas” in this definition of the middle ear system); smallness of volume of the middle ear system is a well-documented correlate of severity of otitis media condition, and also a correlate of the severity of the anatomic eustachian and skull base differences of otitis media.) [The MRI data would also help, I think, in answering ”Potential Key Question # 2.] Quantitative tympanometry is a promising technique. ANSI mandated that all new tympanometers (as of 1996, as I recall) provide quantitative information. Such quantitative information, [DeChicchis & Todd, unpublished data] to date show advantages over the qualitative A-B-C Jerger classification.

5.When should conservative treatment (non-surgical) be considered a failure?
  • Unclear question

  • Very broad category

  • Unclearly written. What is the conservative treatment

  • No definitive information on which to base an answer

6.What is the evidence on effectiveness of various diagnostic instruments in deciding on intervention for OME?
  • Same as 4

  • Combine with #4 and #20

7.What is the evidence regarding level of hearing decrease and whether unilateral or bilateral hearing decrease is an indication for intervention?
  • Minimal evidence

  • Combine with 8

  • Pairs with question 3

  • No definitive information on which to base an answer

8.What is the effectiveness of the use of hearing levels to decide on intervention for OME?
  • Same as 7

  • Combine with 7

9.Are antibiotics more effective than placebo in treating OME?
  • Is this still an issue?

  • Is this still an issue? Has it been addressed with meta-analysis already?

  • Let's see if there is any new data out there

10.Are steroids more effective than placebo in treating OME?
  • There wasn't enough data during the original panel. Is there now?

11.Do antibiotics add an incremental benefit to steroids in treating OME?
  • This area showed some potential promise last time

  • Should be “Do steroids add an incremental benefit to antibiotics”

12.Are interventions for allergies (food or inhalant) more effective than placebo in treating OME?
  • Minimal evidence

  • Inadequate research base

13.Are antihistamines and/or decongestants more effective than placebo in treating OME?
  • If used need to indicate if there is a presence or absence of allergies

  • Still an issue? Addressed in last OME guidelines

14.Are tympanostomy tubes more effective than other interventions in treating OME?
  • Good to test the current recommendation to see if they still have validity

  • Answers might vary depending on outcome measures

15.Is adenoidectomy more effective than other interventions in treating OME of greater-than 3 months duration?
  • Need to indicate in what age group and if used combine with myringotomy

  • The key is age of patient. Are there studies for younger children?

  • Answers might vary depending on outcome measures

  • Though I think adenoidectomy has some benefit to some patients in helping the resolution of their otitis media, none of the purported mechanisms make any sense to me. One purported mechanism is to decrease the “cesspool” of the nasopharynx; but, cystic fibrosis patients, who typically have the worse cesspools of any nasopharynges, have (on average) less otitis problems than the general population. Another purported mechanism is removing the mass of lymphoid tissue in the nasopharynx; but, I don't know of any data that size of adenoid tissue correlates with either the occurrence or severity of otitis media. Indeed, in my experience with a population who have one of the highest rates of otitis of any population, adenoid tissue is usually scant. I'd love to know the explanation by which adenoidectomy improves the course of otitis media in some children. (I suspect the explanation is scarring in the adenoid bed, that stabilizes the posterior lamina of the eustachian cartilage. If this is indeed the explanation, then it is one of the rare occasions that surgery benefits a patient by inducing scarring.)

16.Is tonsillectomy more effective than other interventions in treating OME of greater-than 3 months duration?
  • Still an issue?

17.Is myringotomy more effective than other interventions in treating OME of greater-than 3 months duration?
  • Still an issue

18.Are alternative or complementary therapies more effective than other interventions in treating OME of greater-than 3 months duration?
  • Minimal evidence

  • Inadequate research base?

  • Probably won't find much, but the public will be clamoring for it

19.Are prophylactic antibiotics more effective than other interventions in treating OME?
  • Still an issue

20.What is the effectiveness of monitoring by pneumatic otoscopy, tympanometry, acoustic reflectometry with spectral gradient, and otoacoustic emissions to decide on intervention for OME?
  • Similar to 6 combined

  • Combine with #6 and #4

  • Add binocular micro-tympanoscopy, MRI, and quantitative tympanometry to the list of methods of diagnosing OME. See my comments about ”Potential Key Question” 4.

Epidemiology
  • The material on epidemiology thus far circulated omits mention of a key factor in predisposing infants and children to otitis media, namely, low socioeconomic status. For data and a discussion, see our report in Pediatrics 1997;99:318-333.

Definition of AOM
  • I disagree with the definition of AOM as stated in your recent Definition section. As stated, the definition would call for a diagnosis of AOM in a child with middle-ear effusion and rapid onset of either irritability or fever. On the one hand, some infants with AOM have none of the 4 listed signs or symptoms, and the diagnosis is made on the basis of specific tympanic membrane findings--bulging and/or marked erythema--in addition to findings of middle-ear effusion. On the other hand, some infants with only OME rather than AOM present with rapid onset of fever and/or irritability that may be due the underlying viral respiratory tract infection. If such patients are assumed to have AOM, much unnecessary antibiotic will be prescribed. The point to be made is that diagnosis should not be linked to either the presence or the absence of signs or symptoms such as fever and irritability that are nonspecific. Ear pain, on the other hand, is reasonably specific. This issue was discussed in Commentary in Pediatrics 1995;96:712-715.

The polling results are tabulated in Table 3 and the comments are included in Table 4. The results were distributed to the experts for discussion during the second conference call.

The four top ranking key questions were selected for consideration in the evidence report. After several revisions at the suggestions of the technical experts, the wordings of the four top ranking (key) questions are as follows:

Key question 1: On Natural History

What is the natural history (spontaneous resolution rate over time without treatment) for:

  • OME persisting after a discrete episode of acute otitis media,

  • newly diagnosed OME of unknown duration (unilateral or bilateral),

  • OME persisting for weeks or months (unilateral or bilateral),

  • unilateral OME lasting 3 months or longer,

  • bilateral OME lasting 3 months or longer?

Key question 2: On Speech and Language Development

  1. Do infants and preschool children with longer duration early-life OME have greater delays in speech and language development (receptive or expressive) later in life as compared to those with shorter duration OME? One specific formulation of this question is: Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for speech and language developmental delays?

  2. What are the risk factors that modulate the effect of OME on speech and language development in infants and preschool children?

Key question 3: On Hearing Decrease

  1. Do infants and preschool children with longer duration early-life OME as compared to those with shorter duration OME have permanent (or sensorineural) hearing loss later in life? One specific formulation of this question is: Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for permanent (or sensorineural) hearing loss later in life?

  2. What are the risk factors that interact with the effect of OME on hearing later in life (unilateral or bilateral) in infants and preschool children?

Key question 4: On Diagnostic Methods

What are the sensitivity, specificity, and predictive values for alternative methods of diagnosing OME compared with one of the reference standards?

These methods include, but are not limited to:

  • signs/symptoms

  • non-pneumatic otoscopy

  • pneumatic otoscopy, validated or un-validated examiner

  • binocular micro-tympanoscopy

  • portable tympanometer

  • professional tympanometer

  • quantitative tympanometry

  • acoustic reflectometry (specify model and year)

  • otoacoustic emissions

  • audiometry, air or. bone conduction thresholds.

The reference standards to be used in evaluating these diagnostic tests will include tympanocentesis, sedated or non-sedated; MRI; myringotomy, sedated or non-sedated; validated pneumatic otoscopy; and CT Scan.

Identification and Refinement of Causal Pathways, Study Populations, Practice Settings, and Target Audience

The project staff developed a causal pathway and a scope for each of the key questions. We distributed these documents to the panel of technical experts for review and for preparation for the initial telephone conference call. During this call, we assessed and refined the topics and discussed the proposed key questions, target condition, patient populations, clinical context, interventions, and outcomes of interest. The following characteristics of outcomes were proposed: 1) outcomes would be divided into short term and long term; 2) long term outcomes would consist of percent time with effusion, frequency of acute otitis media, hearing loss, speech and language performance, cognition, academic achievement, and other developmental outcomes; 3) duration of short term outcomes would be defined as four weeks or less or eight weeks or less; and 4) duration of long term outcomes would be defined as greater than one year.

During this first conference call, the Technical Expert Panel decided to use the OME Guideline definition of OME: “fluid in the middle ear without signs or symptoms of ear infection”. (Stool, Berg, Berman et al., 1994) Though the technical experts agreed on the definition of OME they could not agree on which signs or symptoms should be absent, i.e. what signs or symptoms differentiated OME from acute otitis media. During the first conference call, the technical experts advised us to avoid the use of the terms ‘acute’, ‘subacute’, or ‘chronic’ as descriptors of OME. Instead we should use the duration of OME, such as “under 3 months” versus “greater than or equal to 3 months” as descriptors.

Table 5. Overall Casual Pathway for OME
graphic element
Table 6. Casual Pathway for Key Question 1 on Natural History
What is the natural history (spontaneous resolution rate over time without treatment) for:
•OME persisting after a discrete episode of acute otitis media,
•newly diagnosed OME of unknown duration (unilateral or bilateral)
•OME persisting for weeks or months (unilateral or bilateral)
•unilateral OME lasting 3 months or longer,
•bilateral OME lasting 3 months or longer?
graphic element
Table 7. Casual Pathway for Key Question 2 on Speech and Language
graphic element
Table 8. Casual Pathway for Key Question 3 on Hearing
graphic element
Table 9. Casual Pathway for Key Question 4 on Diagnostic Methods
graphic element
Before the second conference call, the project team developed a draft of the conceptual framework for the proposed key questions. During the second conference call, the framework was discussed and the inputs of the experts were incorporated into the revised overall causal pathway (Table 5) from which the causal pathways of the final four key questions were developed. The causal pathways were distributed to the technical experts for further review and comment. The final version causal pathways for the four key questions are presented in Tables 6 through 9.

Based on the causal pathways and the discussions during the two conference calls, we developed the scope for each of the four key questions. The scope specifically defined the disease entity, study population, practice settings (including provider type), time period in practice setting, exclusion factors, interventions, influencing factors, outcome measures, literature sources, language, and study design for each key question to be included in the evidence report. We conducted a second poll of the technical experts on each of these domains in which we sought their approval, disapproval, or recommendations for revision on each domain.Appendix B presents the version of the scope distributed to the technical experts for polling of their comments and approval. Appendix C presents the results of the polling of the experts' comments on the scope. In response to these comments, we further revised the key questions, causal pathways, and the various domains of the scope. We incorporated comments from technical experts to the extent possible, except those related to other domains, those that were obvious misunderstandings or misinterpretations, or those suggestions for deletions or additions that could be handled during the analysis phase of the project. Specifically, the project team retained several influencing factors recommended for deletion by some experts. The project team took note of the deletions and would later stratify the analysis, if possible, by the group of factors unanimously recommended by the experts versus those that were not. Such stratified analysis would depend on the number of studies that specifically address these factors. We revised the key questions according to experts' suggestions. We further revised the scope and reworded the key questions according to the final round of comments: the final version of the scope is included in Appendix D.

In preparation for supplemental analysis, we took polls to solicit the technical experts' opinion on the importance of the risk factors identified in the analytical framework. Specifically, we asked the experts the following questions for each factor:

  1. Regarding Key Question 1: “Does this factor influence the natural history of OME?”

  2. Regarding Key Question 2: “Does this factor have an independent effect on speech and language development separate from its effects on OME or unspecified OM?”

  3. Regarding Key Question 3: “Does this factor have an independent effect on long-term hearing separate from its effects on OME or unspecified OM?”

  4. Regarding Key Question 4: “Does this factor have an independent effect on the accuracy of a diagnostic method separate from its effects on OME or unspecified OM?”

The experts had a choice of responding “yes”, “no”, or “don't know.” For each such opinion, the experts were asked to indicate the basis of their opinion by choosing one or more of the following: “Judgment/Experience,” “Theoretical Construct,” or “Literature”.

Table 10. Ranking of Influencing Factors by Technical Experts, Key Question 1
Key Question 1: Natural History
FactorsTotal “Yes” Based on Responses of 11 Technical Expertsa
total duration of OME (≥3 mos)10
otitis prone (AOM)9
number of previous OMEs9
number of hours attending child care center9
tobacco smoke exposure9
season of the year9
age at first OM9
not breast-fed9
Allergies8
age of child8
family history of OME7
number of children in household7
prior tubes7
ethnicity/race6
barotrauma challenges6
prior adenoidectomy5
socioeconomic status5
laterality, unilateral versus bilateral4
Gender3
skill to diagnose (validated)3
age of onset of previous OME3
tympanometry3
monitoring frequency2
monitoring time2
MRI2
type of examiner2
setting of care1
parent/caregiver education1
hearing level, conductive versus sensorineural1
primary provider1
acoustic reflectometry1
Otoscopy1
pneumatic otoscopy1
parent/caregiver preference for treatment1
developmental delay0
a

11 technical expterts responded; 1 astained

Table 10a. Ranking of Influencing Factors by Technical Experts, Key Question 2
Key Question 2: Speech and Language
FactorsTotal “Yes” Based on Responses of 12 Technical Expertsa
developmental delay11
quality of child care10
hearing level, conductive versus sensorineural10
parent/caregiver education10
quality of parent-child interaction10
socioeconomic status8
laterality, unilateral versus bilateral8
early intervention program7
total duration of OME (≥3 mos)7
Gender6
number of children in household6
duration of middle ear effusion6
chronic illness of any type6
number of hours attending child care center5
number of previous OMEs4
presence of active ear disease4
ethnicity/race3
tobacco smoke exposure3
OM complications3
child temperament3
Allergies2
ambient noise2
age at first OM1
not breast-fed1
skill to diagnose (validated)1
type of examiner0
setting of care0
recheck times0
frequency of recheck0
primary provider0
tympanometry0
acoustic reflectometry0
pneumatic otoscopy0
MRI0
equipment0
audiometry0

Note:Items in bold were added in the second poll after the first poll.

Table 10b. Ranking of influencing Factors by Technical Experts, Key Question 3
Key Question 3: Hearing
FactorsTotal “Yes” Based on Responses of 12 Technical Experts
OM complications10
laterality, unilateral versus bilateral7
hearing level, conductive versus sensorineural7
developmental delay6
presence of active ear disease6
total duration of OME (≥3 mos)4
number of previous OMEs3
duration of middle ear effusion3
chronic illness of any type3
ambient noise3
Allergies2
age at first OM1
ethnicity/race1
socioeconomic status1
quality of child care1
early intervention program1
tobacco smoke exposure1
number of children in household1
child temperament1
Equipment1
Audiometry1
Gender0
number of hours attending child care center0
not breast-fed0
parent/caregiver education0
quality of parent-child interaction0
skill to diagnose (validated)0
type of examiner0
setting of care0
recheck times0
frequency of recheck0
primary provider0
Tympanometry0
acoustic reflectometry0
pneumatic otoscopy0
MRI0

Note:Items in bold were added in the second poll after the first poll

Table 10c. Ranking of influencing Factors by Technical Experts, Key Question 4
Key Question 4: Diagnostic Tests
FactorsTotal “Yes” Based on Responses of 11 Technical Expertsa
age of child11
Otolaryngologist6
nurse practitioner5
Pediatrician5
family physician5
laterality, unilateral versus bilateral5
Anesthetic5
age at first OM5
developmental delay4
physician assistant4
Others3
a

11 technical experts responded; 1 abstained.

The questionnaire for the two polls is included in Appendix E and the responses of the 12 technical experts are presented in Appendix F A summary of the risk factors ranked by the importance assigned by the technical experts is presented in Table 10.

Literature Search

The Technical Expert Panel and project staff developed a literature search strategy. The literature search included the search of three databases: MEDLINE (1966-January2000), the Cochrane Library (through January 2000), and EMBASE (1980 -January 2000). We identified additional articles by review of reference lists in proceedings, published articles, reports, and guidelines.

The project librarian developed an overall search strategy for MEDLINE (Appendix G) that incorporated the input from the technical experts and followed the scope of the project. The MEDLINE database is produced by the U.S. National Library of Medicine and is widely recognized as the premier source for bibliographic coverage of biomedical literature. It encompasses information from Index Medicus, Index to Dental Literature, and International Nursing, as well as other sources of coverage in the areas of allied health, biological and physical sciences, humanities, and information science as they relate to medicine and health care, communication disorders, population biology, and reproductive biology. We searched the MEDLINE database for publications dating back to 1966. Further, we included articles in the English language only for the following reasons. First, our experience with our evidence assessment of the management of acute otitis media (Takata, Chan, Shekelle et al., in press; Chan, Takata, Shekelle et al., in press) demonstrated a low yield from non-English language publications (only two studies accepted out of 97 reviewed and both of theses were also published in English). Second, we needed to balance limited resources between reviewing non-English language literature and answering additional key questions. Since empiric evidence of the need to include non-English language literature in meta-analyses was mixed (Moher, Pham, Klassen et al., 2000) and reviewing non-English literature would be resource intensive, we chose to limit our scope to English language literature only.

The MEDLINE search strategy used both controlled vocabulary terms and keywords. The strategy was organized into modules or clusters of search statements. The main groupings included: otitis media with effusion (OME), mastoid, otitis media; natural history; speech and language; hearing; and diagnosis. These groupings corresponded to the key questions.

For the “otitis media with effusion” concept, both the controlled vocabulary term otitis media with effusion and text word were used. A variety of additional terms were used; such as allergic otitis media, fluid ear, glue ear, middle ear effusion, mucoid otitis media, nonsuppurative otitis media, secretory otitis media, and serous otitis media. For the “mastoid” concept, both the controlled vocabulary and the text word were used. The otitis media module included what is referred to as an “explode” of otitis media, which included the controlled vocabulary headings “otitis media”, “otitis media with effusion”, and “otitis media, suppurative.”

The “natural history” module combined “OME” or “mastoid” with a combination of text words and controlled vocabulary terms for natural history including “natural course”, “natural history”, “placebo”, “placebos”, “resolution”, “self limited”, “self limiting”, “untreated”, and a variety of terms for spontaneous resolution.

Both the “speech and language” module and the “hearing” module combined OME, or mastoid, or an explode of “otitis media” with the speech, language, and hearing concepts. The speech and language component used the controlled vocabulary terms for speech and language, speech and language disorders, child language, communication, communication disorders, language development and tests, voice, and voice disorders. In addition, the text words “speech” and “language” were added. The hearing module used the controlled vocabulary terms for hearing and hearing disorders and hearing aids and tests, as well as the text word “hearing”.

The “diagnosis” module combined OME or mastoid with a combination of text words and controlled vocabulary terms for diagnosis. In addition to the controlled vocabulary terms for diagnosis and diagnostic techniques and procedures, a number of text words were added for audiometry, diagnosis, diagnostic, otoscopy, and tympanometry.

We customized the search strategy initially developed for MEDLINE for EMBASE. EMBASE, the Excerpta Medica database, produced by Elsevier Science, is a major biomedical and pharmaceutical database that indexes over 3,800 international journals. EMBASE is one of the most widely used biomedical and pharmaceutical databases. The database currently contains over 6 million records, with more than 400,000 citations and abstracts added yearly. We searched the EMBASE database for citations dating back to 1980. For the search in the Cochrane Library, we used “otitis media” as the search term. The Cochrane Library contains several databases: (1) The Cochrane Database of Systematic Reviews, which contains Cochrane reviews published by the Cochrane Collaboration, an international organization dedicated to applying evidence-based-medicine principles to the review of important clinical topics; (2) The Cochrane Controlled Trials Register which is a bibliographic database of controlled trials; (3) The Database of Abstracts of Reviews of Effectiveness (DARE), which includes structured abstracts of systematic reviews that have been critically appraised by reviewers at the NHS Centre for Reviews and Dissemination in York and by other experts, for example from the American College of Physicians'; Journal Club and the journal Evidence-Based Medicine; and (4) The Cochrane Review Methodology Database which is a bibliography of articles on the science of research synthesis.

The Cochrane Library search yielded 666 titles/abstracts. The MEDLINE search resulted in 2,379 titles/abstracts. After eliminating duplicates, we retained 2,207 titles/abstracts for screening. The EMBASE search retrieved 1980 citations. After eliminating duplicates, we retained 327 for screening.

We conducted all searches in January 2000 and subjected a total of 3,200 titles/abstracts to screening by two physician reviewers. By merging and eliminating duplicates from the titles/abstracts from the three databases, we created a database of titles and abstracts.

EndNote software (EndNote Windows Version 3.0, 1st Edition. Niles Software Inc., Berkeley, CA) was used to keep a complete record of all titles/abstracts and identify duplications. This software stores, organizes, and tracks references by source (e.g. identified in MEDLINE), search strategy (date of search, index code specifying search criteria used), and a unique identification (UI) code for each article (assigned by the source used to find article). Electronic removal of duplicate citations was supplemented by manual cross-checking. In the event an article was identified by an expert panel member or through reference checking, the title and author of the reference were entered into MEDLINE through the Ovid search system (Ovid Technologies, Inc. 1998, Version: 7.8 Millennium source ID 1.3932.1.156.1.7, Revision: 1.303.2.8) to determine the UI. If a UI could not be found for the article, an alternate identification code was assigned.

EndNote assigned a record number to each new reference added to the master file. This number would not change once an article was added to the list and was used, in addition to the UI, to sort references for article retrieval and review.

Upon completing the literature search and duplicate checking, we exported the master list generated from EndNote to a Microsoft Excel spreadsheet for data export and analysis. We added codes including status of article retrieval, reviewer, and the results of the review.

Review of Retrieved Titles/Abstracts Against Screening Criteria

After retrieving of titles and abstracts from the literature search, two physician reviewers reviewed the abstracts against the inclusion/exclusion criteria to determine eligibility for inclusion in the evidence synthesis as defined in the scope and key questions. Titles/abstracts were not masked prior to review. A pre-designed screening form was used to record the reviews. A meeting was held to review the instructions for screening (Appendix H), including the use of the computerized data forms. The reviewers entered the screening results directly into the computer and forwarded the results electronically to our data analyst for processing. The screening results for each title/abstract were matched between the two reviewers, and discrepancies on inclusion or exclusion were resolved in conference calls among the two reviewers and the task order coordinator. The data analyst generated summary reports indicating those abstracts that passed the screening criteria and those that failed and the reasons for failure.

Table 11. Reason for Rejection of Titles/Abstracts at Initial Screening (N=3,200)
Reason CodeReason for RejectionNumber (Percent) of Citations
R0Written in non-English language170 ( 5.3%)
R1Case report/editorial/letter/clinical/overview/ practice guidelines/consensus statements459 (14.3%)
R2Non-human subjects19 ( 0.6%)
R3Study condition not OM804 (25.1%)
R4Age of study population >12 yearsa57 ( 1.8%)
R5Study population exclusively on any one of the following: Craniofacial defects, primary mucosal disorders, Immunodeficiencies, or Down or other genetic syndromes15 ( 0.5%)
R7Any key questions not addressed697 (21.8%)
R8Duplicate citation9 ( 0.3%)
a

The age limit was later extended to 22 years of age for Questions 2 and 3.

We completed screening of the 3,200 titles/abstracts from the Cochrane Library, MEDLINE, and EMBASE. After resolution of 376 discrepant citations, 2230 (70%) were rejected and 970 were accepted for full article review. The reasons for rejection of the 2230 citations are presented in Table 11. We also screened the database provided to us by the American Academy of Pediatrics (AAP) from its recent review of the topic. Of a total of 1918 titles/abstracts screened against our database, we identified 477 duplicates from our ENDNOTE database, leaving 1441 records from the AAP files that required further screening by the two reviewers. The screening of the 1441 citations from AAP files identified 32 additional citations that required full article review.

The third source of reference material was the six proceedings of the International Symposium on Recent Advances in Otitis Media with Effusion from which we identified 159 additional citations for full article review.

The fourth source consisted of references in books and articles from which we identified 31 full articles for further review.

Retrieval and Review of Full Articles

The titles/abstracts identified for further review were forwarded to the library for full article retrieval. Libraries at both the Los Angeles County - University of Southern California Medical Center and the University of Southern California Health Sciences Campus were the primary sources of the articles. Those not found were retrieved through the Inter-Library Loan Program.

Because a large number of titles/abstracts had inadequate information for full evaluation, a secondary screening of full articles was conducted. Two physicians or a physician and a health services researcher reviewed each article. Articles were not masked prior to review. Discrepancies on inclusion/exclusion were resolved between the reviewers.

Table 12. Reason for Rejection of Full-Length Articles at Secondary Review
Reason CodeReason for RejectionCochrane and Medline N=614AAP Data Files N=29Symposia on OME N=107Technical Experts N=17Articles and books N=31Total N=798a
R0Non-English language100001 (0.1%)
R1Case report/editorial/ letter/clinical/ overview/ practice guidelines/ consensus statements1422422417209 (26.2%)
R2Non-human subjects400026 (0.8%)
R3Study condition not OM33002237 (4.6%)
R4Age of study population >22 years002013 (0.4%)
R5Study population exclusively one of the following: craniofacial defects, primary mucosal disorders, immunodeficiencies, or Down or other genetic syndromes301206 (0.8%)
R7Key questions not addressed35457492444 (55.6%)
R8Duplicate citation39030749 (6.1%)
R9Data not abstractable from article38050043 (5.4%)
a

3 incorrect citations not included.

Table 13. Results of Secondary Screening of Full-Length Articles
Cochrane and MedlineAAP Data FilesSymposiaProceedings on OMETechnical ExpertsArticles and booksAll Sources
Total Citations32001441159a39404879
Number of articles reviewed at secondary screening975b3215936401242
Number accepted after secondary screening372352195451
Question 112701400141
Question 274120170112
Question 315722223186
Question 469040275
Total of above c427360195514
a

Exact number of citations not determined.

b

Four cases previously rejected because of age limit >12 were added to the original 971 accepted citations.

c

The ‘total of above’ number can exceed the number accepted because an article can address more than one question.

Of the 1,250 full length articles to be retrieved, 3 were irretrievable due to incorrect citation information. Secondary review of the remaining 1,247 full length articles from the various sources resulted in the rejection of 798 articles and acceptance of 449 articles: 141 for question 1, 112 for question 2, 186 for question 3 and 75 for question 4. Table 12 provides the reasons for rejection of the 798 articles and Table 13 summarizes the number of articles accepted during the secondary review process. During the fourth conference call, the experts raised the age limit to 22 for the responses to questions 2 and 3 to allow for detection of speech, language, and hearing problems past age 12, the original upper age limit. As a result, we revisited all titles/abstracts and articles that had been rejected because of the age limit, and four previously rejected articles were accepted from our original databases.

After establishing the analytical plan and before data abstraction, a physician and one health services researcher carried out a tertiary review of the 449 articles according to a set of established criteria for each key question. During this tertiary review, study design and quality were also evaluated.

For Question 1, we used three criteria for tertiary screening: 1) was the study a prospective cohort(s) study or a randomized control trial (RCT), 2) whether the control group in the RCT used the other ear as the ‘unit of control’ or not, and 3) were the outcome data abstractable?

For Questions 2 and 3, we established 5 criteria for tertiary screening:

  1. Was the degree of OME determined for the first 3 years of life, and could the OM degree for the period before 3 years of age be linked to a specific outcome? If a study began at age 3, the study was not considered to fulfill this criterion.

  2. Was the upper age limit 22 years of age? If a study included subjects older than 22 years, this criterion could be fulfilled only if outcomes for the 22 years of age and under was reported.

  3. Was the degree of OM graded in some way, such as total time with OM, some measure of OM persistence, OM recurrence, or some measure of OM severity, and could the OM degree grade be linked to a specific outcome?

  4. Was the study prospective? A study is considered prospective if the outcomes were measured prospectively. Cross-sectional and case-control studies were specifically excluded. A study that followed subjects prospectively for both OM history and outcome measures was considered a prospective cohort study. Studies that followed subjects prospectively for outcome measures (i.e. over a period of time) but retrospectively for OM history were considered to be retrospective-prospective studies and were accepted for inclusion. Studies that collected data on the outcome measures at one point in time, were considered retrospective cohort studies regardless of whether OM history was collected prospectively or retrospectively and were excluded. Studies that presented a cross-sectional analysis of prospectively collected data were not considered prospective and were excluded. Randomized controlled studies of an intervention with longitudinally measured outcomes were considered prospective and were included.

  5. Was the outcome measured when the child was older than 3 years of age?

For Question 4, we established 3 criteria for inclusion during tertiary review: 1) Were the diagnostic procedure of interest and the reference standard performed within 24 hours of each other? 2) Is the diagnostic procedure not an algorithm or combination of multiple diagnostic procedures, 3) Are the reference standards one of those specified in the scope (tympanocentesis, MRI, myringotomy, validated pneumatic otoscopy, or CT scan), and 4) Are the data abstractable.

After tertiary review and data abstraction, a total of 114 articles were included in this evidence report, five of which addressed more than one key question:

  • 38 chort studies for question 1, the natural history question;

  • 21 studies for question 2, the speech and language question;

  • 8 studies for question 3, the hearing question; and

  • 52 studies for question 4, the diagnostic method question.

Table 14. Results of Tertiary Screening of Full-Length Articles for Analysis
Accepted at Secondary Screening Abstracted in Evidence Tables
449114 (25%)
Question 114138 (27%)
Question 211221 (19%)
Question 31868 ( 4%)
Question 47552 (69%)
Total of above a514119 (23%)
a

An article can address more than one question.

Table 14 presents the results of tertiary review of the 449 articles.

Review and Assessment of Study Quality

We established criteria used for the assessment of study quality prior to the review of articles. Only prospective cohort studies were reviewed for Questions 1, 2 and 3 because of concerns about the validity of case-control, cross-sectional, and retrospective cohort studies. Diagnostic studies were reviewed for Question 4. The criteria used to evaluate the quality of both types of studies were modified from the work by the McMaster University Group (Jaeschke, Guyatt, and Sackett, 1994; Sackett, 1981; Trout, 1981; Tugwell, 1981).

The quality of natural history studies was evaluated against the following criteria:

  1. Was the study a prospective cohort study?

  2. Was the outcome(s) of the study clearly defined?

  3. Was the out come(s) measured at a clearlly defined timepoint(s)?

  4. Was the cohort of subjects followed without any intervention?

  5. Was there blinded assessment of the outcome(s) of the study?

  6. Were point estimates and measures of variability provided for the main adverse outcomes measured?

The quality of prospective cohort studies was evaluated against eight components:

  1. Was the study cohort(s) clearly defined, with clearly spelled out inclusion and exclusion criteria?

  2. Was the study cohort(s) assembled at a uniform point in the course of the child's illness?

  3. Were the pathways by which patients entered the study clearly described?

  4. Was complete follow-up achieved?

  5. Were withdrawals and drop-outs described?

  6. Were objective outcome criteria developed and used?

  7. Was the outcome assessment “blind”?

  8. Was adjustment for extraneous factors carried out?

The quality of diagnostic studies was evaluated against six components:

  1. Was the reference standard appropriate?

  2. Were the test results and the reference standard assessed independently of each other?

  3. Were the readers of the results of the diagnostic test or the reference standard blinded?

  4. Did the patient sample include an appropriate spectrum of mild and severe, treated and untreated patients to whom the diagnostic tests were applied in clinical practice?

  5. Were the reproducibility of the test result (precision) and its interpretation (observer variation) determined?

  6. Were the methods for performing the test described in sufficient detail to permit replication?

Articles were not masked prior to review. The Task Order Coordinator resolved minor discrepancies between the two reviews of each article. Conferences were held to resolve discrepancies whenever needed.

Data Abstraction

For the articles deemed eligible for inclusion in the Evidence Report, data abstraction was carried out by a two-member team that consisted of a physician reviewer and a health services researcher. One of the two members abstracted the data onto the evidence table, and the other member checked the data for accuracy. Data abstracted included parameters necessary to define study groups, inclusion/exclusion criteria, influencing factors, and outcome measures to be used in analysis.

Specific instructions for data abstraction were recorded. For Question 1, the outcome indicators for abstraction included partial OME resolution (resolution in one ear for bilateral OME only), complete OME resolution, relapse/recurrence (fluctuation/dynamic course), AOM after OME. For Question 2, the outcome indicators for abstraction were expressive or receptive language, expressive or receptive speech, and cognitive verbal intelligence. For Question 3, the outcome indicators for abstraction included conductive or sensorineural hearing loss. For Question 4, the outcome indicators for abstraction were sensitivity, specificity, positive and negative predictive values, and prevalence rate. For all questions, the time or age at which each outcome was measured was recorded. The outcome measures included both continuous and categorical measures. Continuous measurements included mean time or a median time and the categorical measures included proportion with resolution at specified times where both numerators and denominators were recorded. A key issue was that individual children, not populations, must be tracked. The latter would be acceptable only if we knew for certain that the same children were checked at both times.

Procedures to Reduce Bias, Enhance Consistency, and Check Accuracy

To reduce selection bias, we assigned two physician reviewers to screen and review titles/abstracts and full articles at every stage of the selection process. We assigned one physician and one health services researcher who was familiar with experimental design and biostatistics to abstract data. We assessed completeness of our collection of retrieved articles by cross-checking with studies included in other meta-analyses and references listed in review articles. The software program EndNote was used to check batches of articles added to the master list for duplicate references by comparing author, year title, and reference type. Following the importation of the first literature search, we used the software program EndNote to check subsequent references for duplication prior to their addition to the master list. After the master list was completed, we performed a second, manual, check to ensure no duplication.

To assess the extent of publication bias, we searched multiple sources and unpublished material identified by the Technical Expert Panel and internal content experts. We also studied funnel plots—scatter plots of sample size versus the estimated effect size from each study. When publication bias existed, a portion of points would be missing from the funnel plot, typically at the null effect level. Because graphical evaluation can be subjective, we also conducted an adjusted rank correlation test (Begg, 1999) and a regression asymmetry test (Egger, Smith, Schneider et al., 1997) as formal statistical tests for publication bias. We conducted these tests using the statistical package Stata (StataCorp. 1999).

The mechanisms used to enhance consistency in screening and data abstraction include the use of pre-designed forms with explicit instructions and continuous and prompt resolution of discrepancies. Data were entered into a Microsoft Excel spreadsheet directly by the screeners or data abstractors. A third project staff cross-checked data for individual studies abstracted by each data collector. We resolved discrepancies by rechecking the article or by consensus via conference calls.

Preparation of Evidence Tables

An evidence table was prepared for each key question. Each evidence table provides a comprehensive tabular display of data abstracted from the literature in response to the question. It contains the name of the first author, year of publication, study design and quality score, how and by whom OME diagnosis was done, when and where the study took place, inclusion and exclusion criteria, important influencing factors, sample size, outcome measures and their definitions, and study findings. A total of four evidence tables was prepared; they are included in the section called Evidence Tables in this report.

Supplemental Analysis

Based on the discussions of technical experts during the conference calls and the designated time frame for the evidence assessment, a supplemental analysis plan was developed for each key question to synthesize the data.

Natural History

Question 1. What is the natural history (spontaneous resolution rate over time without treatment) for the following diagnostic groups: a) OME persisting after a discrete episode of acute otitis media, b) newly diagnosed OME of unknown duration (unilateral or bilateral), c) OME persisting for weeks or months (unilateral or bilateral), d) unilateral OME lasting 3 months or longer, and e) bilateral OME lasting 3 months or longer?

The outcome measures for this questions included complete and/or partial resolution rates, relapse/recurrence rates, and incidence of AOM after OME. The scope listed 31 non-treatment factors that might affect the course of the illness and confound the outcomes. They included: age, gender, ethnicity/race, socioeconomic status, number of hours in child care center, tobacco smoke exposure, season, number of children in household, breast-fed status, barotrauma challenges, OME laterality, hearing level, total duration of OME, age at first OM onset age of previous OME, number of previous OMEs, family history of OME, otitis prone (AOM), allergies, prior tubes, prior adenoidectomy, developmental delay, caregiver preference for treatment, caregiver education, examiner skill, examiner type, health care setting, monitoring time, monitoring frequency, monitoring personnel, and monitoring method.

Furthermore, the type of study is an important consideration for the assessment of natural history. A stratified random sample of a broad, well-defined population provides evidence of good generalizability, but may be restricted in the amount of clinical information on participants. A single (untreated) arm from a clinical trial will usually provide much more clinical evidence about OME, but this is usually assessed on a very selected group of children, making generalizing the results to the general population more difficult. For this evidence assessment we used only prospective cohort studies as these came closest to the ideal of enrolling a sample from a broad poulation.

The first step of the analysis was to obtain a distribution of studies stratified by the 5 diagnostic groups (namely, OME persisting after a discrete episode of acute otitis media, newly diagnosed OME of unknown duration (unilateral or bilateral), OME persisting for weeks or months (unilateral or bilateral), unilateral OME lasting 3 months or longer, bilateral OME lasting 3 months or longer), by type of outcome measures, and by non-treatment factors. This stratification provided us with an overview of the emphasis of past research in this area and an opportunity to identify gaps and areas for future research.

Using the DerSimonian and Laird random effects model (DerSimonian and Laird 1986) to pool rates across studies, we performed a meta-analysis on strata with more than 3 studies for a pooled estimate of an outcome with 95% confidence intervals. This method produces a summary measure by weighting each study's measure by the inverse of the sum of the within-study variance and the between-study variance. This approach allowed both sampling variation and between-study heterogeneity to affect the pooled estimate.

In addition to the pooled estimate, we reported the Q statistic and p-value for the Chi-squared test of heterogeneity, which tests the null hypothesis that the individual study results are homogeneous (Laird and Mosteller 1990).

Effects of Early-Life OM on Long-Term Speech and Language Development

Question 2. Do infants and preschool children with longer duration of early-life OME as compared to those with shorter duration OME have greater delays in speech and language development (receptive or expressive) later in life? One specific formulation of this question is: Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for speech and language developmental delays? What are the risk factors that interact with the effect of OME on speech and language development in infants and preschool children?

For the first part of the question, the outcome of interest was speech and language developmental delay and the risk factor of interest was OME-associated conductive hearing loss and/or long versus short duration of early-life OME. For this question we included only comparative studies. Further, since prospective comparative cohort studies provide better evidence than retrospective comparative cohort studies, we conducted our assessment using only prospective comparative cohort studies.

The risk factor of interest was whether a child had or did not have OME-associated conductive hearing loss in the first 3 years of life, or whether duration of OME during the first three years of life was long or short. For this risk factor, we collected data on five related variables: hearing level, total duration of OME ≥3 months, number of previous OMEs, duration of middle ear effusion (MEE), and repeated or persistent versus infrequent early-life OME. The hearing level was used to determine whether a child had OME-associated conductive hearing loss in the first 3 years of life. The total duration of OME greater or equal to 3 months was used to define length of duration. We used the repeated or persistent versus infrequent early-life OME to define the risk. If a study did not classify the study subjects this way and (instead) reported data by number of previous OMEs and/or duration of MEE's, we sought the advice of the technical experts to stratify the samples based on these variables.

The influencing factors of outcome included both treatment and non-treatment factors. Here we are using “influencing factors” as a general term including risk factors for OM and/or confounding factors for the dependent variables of interest. The non-treatment factors included: age at first OM, gender, ethnicity/race, socioeconomic status, number of hours at a child care center, quality of child care, early intervention program, tobacco smoke exposure, number of children in household, breast-feeding status, OME laterality, allergies, developmental delay, OM complications, e.g. perforated TM, cholesteatoma, chronic illness of any type, caregiver education, quality of parent-child interaction, examiner skill, examiner type, health care setting, age at rechecks, frequency of rechecks, primary care provider, and type of equipment to measure hearing. Treatment factors included any combination of the following: tympanostomy tubes, adenoidectomy, myringotomy, antibiotics, systemic steroids, decongestant, antihistamine, N-acetyl-cysteine or others.

The outcome measures for this question related to speech and language developmental delay. These outcomes were measured by different instruments at different times, by different professionals, in different settings. In preparation for information synthesis, with the assistance of our speech and language technical expert, we classified the tests used in our final set of studies into the five outcome categories: expressive language, receptive language, expressive speech, receptive speech, and cognitive verbal intelligence. For analysis, we first stratified studies by the type of outcome measures, risk factor measures, and treatment or non-treatment risk factors. For any comparison among 3 or more studies, we conducted a meta-analysis. In each meta-analysis, we derived a pooled effect size defined as the proportion of standardized difference between the positive and negative otitis media groups. We pooled across studies the standardized mean differences between the groups and divided by a pooled standard deviation. We used a random effects model (DerSimonian and Laird, 1986) and the Hedges estimate of the pooled standard deviation (Hedges and Olkin, 1985). We used Stata (StatCorp. Stata Statistical Software: Release 6.0. College Station, TX: Stata Corporation. 1999) for the analyses.

To answer the second part of the question: “What are the risk factors that interact with the effect of OME on speech and language development in infants and preschool children?,” we planned to conduct meta-regression analysis to identify the risk factors that contribute significantly to speech and language delays. For this analysis we would include both comparative and single cohort studies. Many technical issues must be addressed to set up data appropriately for meta-regression analysis. Due to restriction of the time frame, this part of the question was not included in this assessment but should be an area of future research.

Effects of Early-Life OM on Long-Term Hearing

Question 3. Do infants and preschool children with longer duration early-life OME as compared to those with shorter-duration OME have permanent (or sensorineural) hearing loss later in life? One specific formulation of this question is the following: Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for permanent (or sensorineural) hearing loss later in life? What risk factors interact with the effect of OME on hearing loss later in life (unilateral or bilateral) in infants and preschool children?

The analysis plan for Question 3 followed that for Question 2. In preparation for information synthesis, we sought the assistance of our audiology technical expert, to group the tests used in our final set of studies into homogeneous categories.

Our audiology expert advised that (1) an acoustic reflex at 500 or 1000 Hz were both acceptable for study, (2) the criterion for abnormal reflex threshold would depend on the study, whether ipsilateral or contralateral, and on the frequency used for testing, (3) the abnormal reflex criteria should be based on normative data, and (4) quantitative tympanometry should be classified as:

  1. Static Compensated Acoustic Admittance including: peak admittance, peak compensated admittance, peak compliance, static compliance, static admittance, and peak compliance.

  2. Tympanometric Gradient including: gradient, pressure gradient and tympanometric gradient (Madsen compliance was excluded because Madsen compliance units were arbitrary units and the this instrument was from an era in which the units were not on a calibrated scale.)

  3. Tympanometric Width referring to terms containing the words width, referring to tympanometry.

Diagnostic Methods for OME

Question 4. What are the sensitivity, specificity, and predictive values for alternative methods of diagnosing OME compared with one of the reference standards?

The diagnostic methods to be assessed included: a) signs/symptoms, b) non-pneumatic otoscopy, c) pneumatic otoscopy, validated or unvalidated examiner, d) binaural (or bilateral) micro-tympanoscopy, e) portable tympanometer, f) professional tympanometer, g) quantitative tympanometry, h) acoustic reflectometry, i) otoacoustic emissions, and j) audiometry, air or. bone conduction thresholds. The reference standards used to evaluate the accuracy of the diagnostic methods included: a) tympanocentesis, sedated or non-sedated, b) MRI, c) myringotomy, sedated or non-sedated, d) validated pneumatic otoscopy, and e) CT Scan.

Diagnostic methods based on algorithms, combinations of methods, or combination of scores, were not within the scope of this report because the sources of variation of such combinational methods would be difficult to detect in published articles and the analysis of them would not be feasible within our timeframe. Also excluded were studies where the experimental diagnostic test and the reference standard test were performed more than 24 hours apart.

Our strategy for evaluating the diagnostic value of a procedure was to derive pooled estimates for sensitivity, specificity, and prevalence rate for each diagnostic procedure and reference standard with 3 or more comparison studies. We used the DerSimonian and Laird random effects model (DerSimonian and Laird 1986) to derive random effects estimates and 95% confidence intervals. We also pooled the prevalence rates to determine the heterogeneity of the study populations. Using the pooled estimates, we plotted the performance of each diagnostic test in terms of sensitivity and (1-specificity) and identified the best performer among the tests included in the comparison. We then derived the positive and negative predictive values for the best diagnostic test for various prevalence levels.

To prepare for a meta-analysis for each comparison, we abstracted data from the evidence table; one meta-analysis was performed for sensitivity and specificity,. The following data elements were entered into the SAS program to be converted into a SAS data set: study ID number, author and year of publication, number of adverse outcomes in the experimental group, total number of patients in the experimental group, number of adverse outcomes in the control group, and total number of patients in the control group. We used a SAS macro software program developed by RAND statistical staff to perform all meta-analyses and used the beta-test version of the software package “MetaGraphs” (1998, Belmont Research, Inc. 84 Sherman Street, Cambridge, MA 02140) for graphing.

The following statistics were generated from the SAS macro program: (a) study-level statistics (incidence rate, relative risk, risk difference, number needed to treat (NNT), odds ratio, and their 95 percent confidence intervals); (b) crude estimates and their 95 percent confidence intervals for all studies combined; (c) fixed effects estimates and their 95 percent confidence intervals for all studies combined; (d) random effects estimates and their 95 percent confidence intervals based on the DerSimonian and Laird method for pooling study results, and Chi-squared test of homogeneity; (e) weight for each study for both the fixed effects model and random effects model used to calculate of risk difference and relative risk.

To use MetaGraph for graphing, we entered the data into ASCII files using the UltraEdit-32 software. Funnel plots were produced for the purpose of screening possible publication bias, and the shrinkage plots were generated to display the effect size of each study and compare it against the overall model estimate, together with the 95 percent confidence limits. We evaluated the funnel plots graphically for asymmetry that resulted from the non-publication of small, negative studies. Because graphical evaluation can be subjective, we also conducted an adjusted rank correlation test (Begg, 1999) and a regression asymmetry test (Egger, Smith, Schneider et al., 1997) as formal statistical tests for publication bias. We conducted these tests in the statistical package Stata (StataCorp. 1999).

Identification of Peer Reviewers

Table 15. Peer Review Panel
Peer ReviewerArea of ExpertiseAffiliation/Location
Howard Bauchner, M.D.General PediatricsChild and Adolescent Health Scholar in Residence Agency for Healthcare Research and Quality
Hanan S. Bell, Ph.D.Methodology reviewerSeattle, WA
Alfred O. Berg, MD, MPHFamily MedicineUniversity of Washington, Seattle, WA
Patricia A. Fall, MS, CRNPNurse PractitionerWexford, PA
George A. Gates, MDOtolaryngologyUniversity of Washington, Seattle, WA
Janice Goertz, RN, CPNPNurse PractitionerPortage, MI
Judith Gravel, PhDHearing and SpeechAlbert Einstein College of Medicine, Bronx, NY
Mark P.Haggard, Ph.D.Hearing/ PsychoacousticsInstitute for Hearing Research, Nottingham, UK
Vic Hasselblad, Ph.D.Meta-analysis reviewerDuke University, Durham, NC
Tracy Lieu, MDPediatrician/Health PlanHarvard Pilgrim Health Care, Boston, MA
Martin C. Mahoney, MD, Ph.D.Family MedicineDeGraff Family Medicine, North Tonawanda, NY
A. Richard Maw MS FRCSOtolaryngologyBristol Royal Infirmary, Bristol UK
Robert Ruben, MDOtolaryngologyMontefiore Medical Center, Bronx, NY
Anne GM Schilder, MD, Ph.D.OtolaryngologyUniversity Medical Center Utrecht, The Netherlands
Steve Shelov, MDPediatricsScarsdale, N.Y
Sylvan Stool, MDOtolaryngologyThe Children's Hospital, Denver, CO
Robin Yurk, MD, MPHConsumer/Health PlanCommunity Clinic, Inc. Rockville, MD
Dr. J.O.M. Zaat (Joost Zaat)Methodology reviewerPurmerend, The Netherlands
At the beginning of the project, we requested nominations for technical experts and peer reviewers from 12 organizations. A total of 18 nominations were received for the Peer Review Panel. Experts in systematic reviews and meta-analysis were selected from a pool of experts associated with the Southern California Evidence-Based Practice Center but not involved with this project. The Project Staff, in consultation with the Task Order Officer, determined the relative mix of reviewers across the three domains (methodology, user, and clinical). In addition to domestic experts, we identified four European experts to serve as peer reviewers. The Peer Review Panel (Table 15) was composed of 18 members including family physicians, pediatricians, otolaryngologists, audiologists, speech-language pathologists, nurse practitioners, health planners, consumers, systematic review methodologists, statisticians, and non-U.S. experts in otitis media.

Peer Review Process

Table 16. Instructions for Reviewing Draft Evidence Report
Enclosed is a draft evidence report on the diagnosis and treatment of otitis media with effusion. You may make your comments either directly on the draft evidence report, or on a separate sheet of paper. If you choose to record your comments on a separate piece of paper, please use the page and paragraph number to identify to which part of the report your comments pertain.
We ask that you consider the following questions while you read this report. We realized that some of the questions may not pertain to your area of expertise. Please feel free to comment only on those that you feel most suited to answer.
  1. Overall evaluation

    Is it clear what we did? You may agree or disagree with our methods, findings, or conclusions, but you should be able to understand what we did in order to produce this report.

  2. Methodology

    Are the methods we used appropriate:

    1. for identifying the key questions of interest from the panel of technical experts?

    2. for searching and reviewing the identified literature?

    3. for synthesizing the literature?

  3. Evidence

    1. Did we miss any crucial pieces of information in our literature search?

    2. Does the evidence support the conclusions?

  4. Utility

  5. Would you find this information to be useful if you had to develop clinical practice guidelines or medical review criteria for diagnosis and treatment of otitis media with effusion in children?

A copy of the draft evidence report was mailed to each peer reviewer on the panel, along with an instruction sheet (Table 16) for reviewing the draft evidence report. The Peer Review Panel was asked to respond within three weeks. Seventeen of the 18 peer reviewers responded with comments. A copy of the draft evidence report was also mailed to the members of the Technical Expert Panel and all technical experts responded with comments. Upon receipt of all responses from the peer reviewers and technical experts, the project staff compiled a summary of the comments and changes and revised the draft evidence report. We forwarded all comments to the Task Order Officer for review. The peer reviewers’ and technical experts’ comments are included in Appendix I, together with the corresponding responses or actions taken by project staff.

Chapter 3. Results

Key question 1: What is the Natural History (Spontaneous Resolution Rate over Time without Treatment) for

  • OME persisting after a discrete episode of acute otitis media,

  • newly diagnosed OME of unknown duration (unilateral or bilateral),

  • OME persisting for weeks or months (unilateral or bilateral),

  • unilateral OME lasting 3 months or longer,

  • bilateral OME lasting 3 months or longer?

Literature Review

Table 17. Cohorts and Articles Relevant to Question 1 (n=40)
Cohort IdentifierRelevant Articles (ID, authors, year)Comments
Birch862 Birch and Elbrønd (1984)0.75- to 7-year old children followed from 1/1982 to 4/1982.
Casselbrant I1000 Casselbrant, Brostoff, Ashoff, and Bluestone (1985)2- to 5-year old children followed from 9/1981 to 8/1983.
2929 Casselbrant, Brostoff, Ashoff, and Bluestone (1990)
Casselbrant II2929 Casselbrant, Brostoff, Ashoff, and Bluestone (1990)5- to 12-year old children followed from 9/1984 to 5/1985.
Ernston1202 Erston and Sundberg (1984)Children 1- to 11-years old embedded in a controlled trial.
Fiellau-Nikolajsen I1237 Fiellau-Nikolajsen and Lous (1979)Children in Hjoerring, Denmark first examined in 1976.
1235 Fiellau-Nikolajsen (1979)
1242 Fiellau-Nikolajsen (1981)
3051 Lous and Fiellau-Nikolajsen (1988)a
Fiellau-Nikolajsen II1235 Fiellau-Nikolajsen (1979)Children in Hjoerring, Denmark first examined in 1978.
1245 Fiellau-Nikolajsen (1983)
Fiellau-Nikolajsen III1777 Lous and Fiellau-Nikolajsen (1981)Children in Hirtshals and Sindal, Denmark first examined in 1978.
Holmquist1494 Holmquist, Fadala, and Qattan (1987)7- to 9.5-year old children followed 2/1983 to 4/1983.
Lamothe1714 Lamothe, Boudreault, Blancette, Tetreault, and Poliquin (1981)First graders followed over a 6 week period in 1979.
Leiberman1735 Leiberman and Bartal (1986)2- to 12-year old children who had a follow-up exam after a 2.5 year delay in ventilating tube placement.
Marchisio9 Marchisio, Principi, Salpietro, Boschi, Chetri, Caramia, Longhi, Reali, Meloni, DeSantis, Sacher, and Cupido (1998)Primary school children followed for 12 weeks after the initial exam, and then a subset were randomized to a placebo group for another 8 weeks of follow-up.
Mills1927 Mills and Vaughan-Jone (1992)Prospective single cohort embedded in a comparative cohort of children 1- to 14-years old who had a follow-up exam about 2 months after the initial visit.
Portoian-Shuhaiber2184 Portoian-Shuhaiber and Cullinan (1984)5- to 6-year old children followed for 10 weeks in 1979.
Renvall I2240 Renvall, Lidén, Jungert, and Nilsson (1978)10- to 11- year old children examined after a 3-year interval.
Renvall II2242 Renvall, Anniansson, and Lidén (1982)4-year old children followed over a 12 week period in 1980.
Reves2243 Reves, Budgett, Miller, Wadsworth, and Haines (1985)3- to 6-year old children followed 11/1983 to 2/1984.
Roberts2262 Roberts, Johnson, Carlin, Turczyk, Karnutta, and Yaffee (1995)Newborns followed for 2 months after birth.
Robinson2270 Robinson, Allen, and Root (1988)Infants followed for 6 weeks.
Sly I2457 Sly, Zambie, Fernandes, and Frazer (1980)4- to 5-year old children recruited in 2/1977.
Sly II2457 Sly, Zambie, Fernandes, and Frazer (1980)4- to 5-year old children recruited in 9/1977.
Tos I1486 Holm-Jensen, Sørenson, and Tos (1981)Children born in 1975 and followed from 5/1979 to 2/1985.
2636 Tos (1981)a
543 Tos, Holm-Jensen, Sørenson, and Mogensen (1982)
2639 Tos (1983)a
2642 Tos (1984)a
4834 Tos (1984)a
4835 Tos (1988)a
Tos II2629 Tos (1979)Children born in 1976 and followed from 11/1977 to 2/1985.
2190 Poulsen and Tos (1980)
2631 Tos (1980)a
2634 Tos (1980)
2593 Thomsen and Tos (1981)
2639 Tos (1983)a
2642 Tos (1984)a
4834 Tos (1984)a
4835 Tos (1988)a
Tos III2189 Poulsen and Tos (1978)Children born in 1977 and followed from 1–2/1977 to 2/1985.
2627 Tos (1979)
2631 Tos (1980)a
2634 Tos (1980)
2639 Tos (1983)a
2642 Tos (1984)a
4834 Tos (1984)a
4835 Tos (1988)a
Tos IV1946 Moller and Tos (1990)Children checked daily for 30 days.
van Balen91 van Balen, De Melker, Touw-Otten (1996)6-month to 6-year old children followed for 3 months in the early 1990's.
Williamson2791 Williamson (1994)5- to 8-year old children followed from 1988-1989 to 1991.
Wilmot2795 Wilmot (1988)6-month to 10-year old children were followed for 12 months after developing OME after AOM.
Zielhuis2863 Zielhuis, Rach, and van den Broek (1990)2- to 4-years old children followed from 1982-1983.
a

The article did not include abstractable data relevant to the specific Question 1 outcome measures.

Table 18. Disposition of Articles From Rosenfeld's Natural History Assessment
ID NumberAuthorYearIncludedExcludedReason for Exclusion From Assessment
1000Casselbrant1985X
1238, 1240Fiellau-Nikolajsen1980X1238 is a study of tympanometry as a diagnostic tool. 1240 is the same cohort as in 1245 and does not present sufficient data tracking individual cases or episodes of OME.
2242Renvall1982X
2593Thomsen1981X2593 uses same cohort as 2190, 2629, 2631, 2639, 2642, 4834, and 4835.
2627Tos1979X
2634Tos1980X
543Tos1982X543 uses same cohort as 1486, 2636, 2639, 2642, 4834, and 4835.
2791Williamson1994X
2863Zielhuis1990X
2857Zeisel1995X2857 included 13% with purulent OME. Antibiotic administration and other interventions for either purulent or non-purulent OME. Insufficient data track individual cases or episodes of OME.
2243Reves1985X
91van Balen1996XRandomized controlled trial with an initial 3-month watchful waiting period of children with OME.
1777Lous1981X
Table 19. Question 1: Articles Excluded During Data Abstraction
ID#AuthorYearReason Not Included
705Aniansson1985Screening study over 2 years. Some retest of same subjects, but no control over treatment.
3051Lous1988Data not abstractable as presented. Available counts are in essential agreement with articles 1235, 1237, and 1242 apart from minor differences in number of tympanogram types, e.g. type A in Jan 1975 (629 in articles 1235, 1237, and 3051 and 631 in article 1242) and types B, C1, and C2 in Jun-July 1976 (32, 31,, and 42 respectively in articles 1235, 1242, and 3051 and 37, 28, and 40 respectively in article 1237).
2578Teele1980Data not abstractable; data on persistent OME after AOM are not presented and cannot be derived.
2631Tos1980Article does not present any new information other than the actual initial counts of tympanogram types for the 1976 and 1977 Tos cohorts utilized in the evidence tables for article 2629 and 2627.
2636Tos1981Data not abstractable as presented relative to the data on 3- and 6-month follow-up presented in article 1486. Individual cases of type B, C1, or C2 tympanograms cannot be tracked from 2/1979 to 11/1979 or 2/1980.
2639Tos1983The only relevant new information is that the authors mention that in the 1976 cohort, 50% of tympanogram type B changed to types A or C over the first 3 months of the study. However, the number with type B who presented for the 3-month follow-up exam is not given so per cent change cannot be calculated.
2642Tos1984Article does not present any abstractable data relevant to Q1.
4834Tos1984Article does not present any new data relevant to Q1.
4835Tos1988Article does not present any new data relevant to Q1.
2795Wilmot1988Article presented data on OME following AOM which was eliminated as a condition of interest because it had been studied in a recent evidence analysis.
After initial screening of 4,879 titles or abstracts, we identified 449 articles for review. After secondary screening of the 449 articles, we identified 141 articles that fell within the scope of this question. Tertiary screening identified 38 articles on prospective cohort studies for potential abstraction. After reassessing articles included in the systematic review by Rosenfeld (1999), we included three more articles for potential abstraction. We eliminated one article on r OME following acute otitis media which was addressed in a recent evidence analysis. A total of 26 prospective cohort studies and one retrospective-prospective cohort study were identified among these 40 articles. Table 17 lists the studies and cohorts examined. Abstraction was possible from 33 of the 40 articles. Table 18 lists the studies referred to by Rosenfeld (1999) and their disposition in the present evidence-based analysis. Table 19 lists the articles excluded because relevant data could not be abstracted.

Findings

Table 20. Study Quality for Studies Included in Evidence Table on Natural History
IDAuthorYearStudy Quality Scorea
862Birch19843 (1,1,1,0,0,0)
1000Casselbrant19853 (1,1,1,0,0,0)
2929Casselbrant19903 (1,1,1,0,0,0)
1202Ernstson19842 (1,0,0,1,0,0)
1235Fiellau-Nikolajsen19794 (1,1,1,0,0,1)
1237Fiellau-Nikolajsen19794 (1,1,1,0,0,1)
1242Fiellau-Nikolajsen19814 (1,1,1,0,0,1)
1245Fiellau-Nikolajsen19833 (1,1,1,0,0,0)
1486Holm-Jensen19813 (1,1,1,0,0,0)
1494Holmquist19873 (1,1,1,0,0,0)
1714Lamothe19814 (1,1,1,1,0,0)
1735Leiberman19862 (1,1,0,0,0,0)
1777Lous19813 (1,1,1,0,0,0)
9Marchisio19983 (1,1,1,0,0,0)
1927Mills19921 (1,0,0,0,0,0)
1946Moller19903 (1,1,1,0,0,0)
2184Portoian-Shuhaiber19843 (1,1,1,0,0,0)
2189Poulsen19783 (1,1,1,0,0,0)
2190Poulsen19803 (1,1,1,0,0,0)
2240Renvall19783 (1,1,1,0,0,0)
2242Renvall19524 (1,1,1,1,0,0)
2243Reves19853 (1,1,1,0,0,0)
2262Roberts19954 (1,1,1,0,1,0)
2270Robinson19881 (1,1,0,0,0,0)
2457Sly19803 (1,1,1,0,0,0)
2593Thomsen19813 (1,1,1,0,0,0)
2627Tos19793 (1,1,1,0,0,0)
2629Tos19793 (1,1,1,0,0,0)
2634Tos19803 (1,1,1,0,0,0)
543Tos19823 (1,1,1,0,0,0)
91van Balen19963 (1,1,1,0,0,0)
2791Williamson19942 (1,1,0,0,0,0)
2863Zielhuis19903 (1,1,1,0,0,0)
a

The six components of study quality are: a prospective cohort study; outcome clearly defined; time point at which outcome measured clearly defined; subjects followed without any intervention; blinded assessment of outcome; and point and variability estimates provided for main outcome measures. 1 indicates presence and 0 indicates absence

Evidence Table 1 presents the study characteristics, population characteristics, risk factors, and findings for the 27 cohort studies described in 34 articles that responded to this question. Table 20 presents the study quality scores for the studies included in Evidence Table 1. The quality scores (see Methods) for these studies fell at the low end of the possible range of 1(lowest) -to 6(highest). Three of the cohort studies had a score of 4, sixteen had a score of 3, seven had a score of 2, and one had a score of 1.

Table 21. Tympanometry Definitions in Natural History Cohorts Utilizing Tympanometry as the Sole Diagnostic Method
Tympanogram Type A As B
CohortaPressure (mmH2O)immitancePressure (mmH2O)immitancePressure (mmH2O)immitanceComments
Birch> -100< 0.25mlc, 11stapedial reflex absent and max compliance unreadable; Madsen Electronics tympanoscope, model ZS 330, 226 Hz probe tone
Fiellau-Nikolajsen I> -100> 0.1 d200 to -4001≤ 0.1d1or indeterminable
Fiellau-Nikolajsen IImiddle-ear effusion=flat curve or <= -100 with absent middle ear reflexes
Fiellau-Nikolajsen III> -100multiple criteria11type B=otoadmittance < 0.20millimhos, absolute gradient < 0.04millimhos and absence of ipsilateral acoustic reflex; Grason-Stadler Middle Ear Analyzer 1722
Holmquist 50 to -99 flat curve Madsen ZA 330, 226 Hz probe tone
Portoian-Shuhaiberabnormal defined as an abnormal tympanometric curve and/or absent acoustic reflex; Grason-Stadler Middle-ear Analyser (Model 1722)
Tos I 0 to -99 flat curve Madsen ZO 70 tympanometer, 220 Hz probe tone
Tos II 0 to -99 flat curve Madsen ZO 70 tympanometer, 220 Hz probe tone
Tos III >-100 flat curve11<= 0.1e; Madsen ZO 70 impedance meter
Tos IV AZ799 to -99 flat curve without impedance minimum11or with a measurable impedance minimum and relative gradient < 0.1; Impedance audiometer AZ 7 (Interacoustics)
ZS 331 99 to -99 flat training11or compliance below 0.25mlc and absent ipsilateral stapedial reflex; Impedance tympanoscope ZS 331 (Madsen Electronics)
Reves-100 to 50>0.3b< -100lowbtympanometer 85 AR 11 (American Electro Medics)
Robinson-149 to +50>0.2mlctypes As, B, C, and Cs are failures; Maico MA 610 portable impedance screener, 226 Hz probe tone
Sly I and II flat curve11or compliance < 0.3mlc or peak compliance occurred at or below -100 mmH20; Teledyne Avionics acoustic impedance meter model TA-1D
van Balen-99 to 200≥ 0.2mmhoc≤ -400< 0.2mmhoc
Williamson 200 to -99 flat curve Grayson-Stadler [sic] Earscan impedance audiometer
Zielhuis≥ -99≥ 0.2mlc≤ -400< 0.2mlcGrason-Stadler-model 27
a

see Table 17 for associated cohort articles

b

impedance

c

admittance

d

relative gradient

e

impedance slope

Table 21a. Tympanogram Definitions in Natural History Cohorts Utilizing Tympanometry as the Sole Diagnostic Method
Tympanogram Type C C1 C2
CohortaPressure (mmH2O)immitancePressure (mmH2O)immitancePressure (mmH2O)immitanceComments
Birch≤ -100
Fiellau-Nikolajsen I-100 to -199>0.1d-200 to -400>0.1d
Fiellau-Nikolajsen IImiddle-ear effusion=flat curve or <= -100 with absent middle ear reflexes
Fiellau-Nikolajsen III≤ -100
Holmquist100 to -300
Portoian-Shuhaiberabnormal defined as an abnormal tympanometric curve and/or absent acoustic reflex
Tos I-100 to -199-200 to -350
Tos II-100 to -199-200 to -350
Tos III-100 to -300>0.1e-100 to -199-200 to -350
Tos IV AZ 7-100 to -199 >-200
ZS 331-100 to -199>-200
Reves< -100>0.3b
Robinsontypes As, B, C, and Cs are failures
Sly I and II
van Balen-199 to -100≥ 0.2mmhoc-399 to -200≥ 0.2mmhoc
Williamson-100 to -199-200 to -400
Zielhuis-100 to -199≥ 0.2mlc-200 to -399≥ 0.2mlc
a

see Table 17 for associated cohort articles

b

impedance

c

admittance

d

relative gradient

e

impedance slope

Although we accepted these 27 studies for the natural history analysis, half of them (thirteen) failed to document that the subjects had received no medical or surgical treatment during the course of the study that could affect the outcome of OME. In the three studies that claimed that their subjects received no treatment, the investigators failed to document how adherence was maintained or confirmed. In studies of eleven cohorts, the authors mentioned that children received antibiotics or underwent surgical procedures that could affect OME outcome. In those studies that reported numbers of children who received treatment, the proportion was relatively small compared to the total number studied. Except in two studies, results were not stratified by treatment condition, even in those articles that reported treatments received by study subjects. Further, the majority of studies, but not all, used tympanometry as the sole diagnostic test of OME. However, the criteria for each tympanogram type in these studies are similar (Table 21). Table 21 lists the pressure and immittance parameters for tympanogram types for those studies that used tympanometry as the sole diagnostic criteria for OME.

Table 22. OME Resolution by Ears on Newly Diagnosed OME of Unknown Duration, <6-month old cohorts
Ears Resolved Intervala
Cohort IDDiagnostic Methodbantibioticcsurgeryc<2wk<2m<3m<6mArticle(s)
<6-month old cohorts
Robertseotounknownunknown22/24 (92%)24/24 (100%)2262 Roberts 1995
Tos IIITympunknownunknown1/4d (25%)1/4 d (25%)2627 Tos 1979
a

interval calculated from cohort inception and not cumulative, unless otherwise noted

b

oto=otoscopy, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

d

interval started at 6-month follow-up

e

cumulative resolution rate

Table 22a. OME Resolution by Ears on Newly Diagnosed OME of Unknown Duration, 6 month to 3 year old cohorts
Ears Resolved Intervala
Cohort IDDiagnostic Methodbantibioticcsurgeryc<6wk<3m<6m<9m<24mArticle(s)
6-month to 3-year old cohorts
Robinsontympunknownunknown10 of 25 d (40.0%)2270 Robinson 1988
1 2634 Tos 1980;
2 2190 Poulson 1980;
6/51 115/59 219/51 39/48 43 2629 Tos 1979;
Tos IItympunknownyes(12%)(25%)(37%)(19%)4 2593 Thomsen 1981
Tos IIeetympunknownyes6/51 1 (12%)16/511 (31%)24/511 (47%)1 2634 Tos 1980
a

interval calculated from cohort inception and not cumulative, unless otherwise noted

b

oto=otoscopy, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

d

interval is minimum of 6wk so may be greater

e

cumulative resolution rate

Table 22b. OME Resolution by Ears on Newly Diagnosed OME of Unknown Duration, > 3 year old cohorts
Ears Resolved Intervala
Cohort IDDiagnostic Methodbantibioticcsurgeryc<2wk<3wk<1m<6wk<3m<4m<6m<8m<1y<3yArticle(s)
>3-year old cohorts
Fiellau-Nikolajsen Idtympunknownyes14/941 (15%)22/911 (24%)32/691 (46%)33/652 (51%)11237 Fiellau-Nikolajsen 1979; 21242 Fiellau-Nikolajsen 1981
Fiellau-Nikolajsen IIdtympunknownunknown7/64 (11%)16/62 (26%)1235 Fiellau-Nikolajsen 1979
Holmquisttympunknownunknown251/511 (49%)1494 Holmquist 1987
Lamothepneum otonono24/64 (38%)25/53 (47%)1714 Lamothe 1981
Lamothedpneum otonono24/64 (38%)38/53 (72%)1714 Lamothe 1981
Renvall Itympunknownunknown282/335 (84%)2240 Renvall 1978
Renvall IIdtympnono10/40 (25%)16/40 (40%)2242 Renvall 1982
Slytympnono1/9 (11%)4/9 (44%)6/9 (67%)2457 Sly 1980
Sly IItympnono0/5 (0%)0/5 (0%)0/5 (0%)2457 Sly 1980
Tos Itympunknownunknown3/921 (3%); 3/872 (4%)14/931 (15%); 14/872 (16%)11486 Holm-Jensen 1981; 2543 Tos 1982
Tos Idtympunknownunknown3/871 (3%)17/871 (20%)1543 Tos 1982
Williamsontympunknownyes35/67 (52%)52/67 (78%)61/67 (91%)2791 Williamson 1994
a

interval calculated from cohort inception and not cumulative, unless otherwise noted

b

oto=otoscopy, pneum oto=pneumatic otoscopy, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

d

cumulative resolution rates

Table 22c. OME Resolution by Ears on Newly Diagnosed OME of Unknown Duration, Age not stratifiable
Ears Resolved Intervala
Cohort IDDiagnostic Methodbantibioticcsurgeryc<1m<2m<3m<4m<5m<6m<3yArticle(s)
Age not stratifiable
Casselbrant Idalgorithmyesyes92/137 (67%)109/137 (80%)130/137 (95%)134/137 (98%)136/137 (99%)137/137 (100%)1000 Casselbrant 1985
Renvall Itympunknownunknown282/335 (84%)2240 Renvall 1978
a

interval calculated from cohort inception and not cumulative, unless otherwise noted

b

algorithm=algorithm based on pneumatic otoscopy, tympanometry, and acoustic reflex, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

d

cumulative resolution rate

Table 23. OME Resolution by Childon Newly Diagnosed OME of Unknown Duration, >3 year old cohorts
Resolved intervala
Cohort IDDiagnostic methodbantibioticcsurgeryc<2wk<1m<6wk<10wk<3m<4m<6m<8m<1yArticle(s)
>3-year old cohorts
Fiellau-Nikolajsen IItympunknownunknown28/81 (35%)46/80 (58%)53/78 (68%)1245 Fiellau-Nikolajsen 1983
Marchisiopneum oto, tympunknownno325/451 (72%)9 Marchisio 1998
Portoian-Shuhaibertympunknownunknown65/130 (50%)2184 Portoian-Shuhaiber 1984
Sly Itympnono1/7 (14%)3/7 (43%)5/7 (71%)2457 Sly 1980
Sly IItympnono0/3 (0%)0/3 (0%)0/3 (0%)2457 Sly 1980
Williamsontympunknownyes22/50 (44%)38/50 (76%)45/50 90%)
a

interval calculated from cohort inception unless otherwise noted

b

oto=otoscopy, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

Table 23. OME Resolution by Childon Newly Diagnosed OME of Unknown Duration, Age not stratifiable
Resolved intervala
Cohort IDDiagnostic Methodbantibioticcsurgeryc<2m<3mArticle(s)
Age not stratifiable
Millspnem oto, tympunknownunknown57/192 (30%)1927 Mills 1992
Revestympunknownunknown40/68 (59%)2243 Reves 1985
van Balentympunknownunknown223/443 (50%)91 van Balen 1996
a

interval calculated from cohort inception unless otherwise noted

b

oto=otoscopy, tymp=tympanometry (type B to A transition)

c

Did any of the patients receive antibiotic or surgery?

Tables 22 and 23 provide OME resolution rates by ear, as reported in the majority of the studies, and by child for those studies in which data could be stratified by unit of analysis (ear vs. child), age group, and OME type respectively. For clarity, we have listed only those resolution intervals with onset at the study's inception. For clarity, when tympanometry was the diagnostic method, counts for tympanogram type B transition to A are shown when provided, while other tympanogram transitions are shown in Evidence Table 1.

Data from a number of studies were reported in a format that made them unusable for quantitative syntheses. Ten studies were eliminated from quantitative syntheses, because they failed to stratify by age (i.e. less than and greater than 3 years old). Day-to-day variability in tympanogram types was described in a cohort of kindergarten children examined on each weekday for 30 days (Moller and Tos,1990). Ernston and Sundberg (1984) described a group of children who participated in a controlled trial of children with OME that persisted for at least 3 months; they found that 15.3 percent (11 of 72) of such children had OME resolution by five weeks followup. A study of children with OME that persisted for 3 months or more, showed 45 percent (49 of 109) OME resolution at 2.5 year followup (Leiberman and Bartal,1986). However, the investigators acknowledged that middle-ear effusion noted after such a long interval could be either persistent or recurrent. Birch and Elbrønd (1984) and Zielhuis, Rach, and van den Broek (1990) derived equations to describe the OME resolution rates they observed in their cohorts, but we were unable to abstract actual counts from these articles.

We performed two sets of meta-analyses that matched age groups, unit of analysis, outcome type, and time to resolution in three or more cohorts. All meta-analyses presented here used the ‘ear’ as the unit of analysis. Few studies considered the child or the episode as the unit of analysis and no meta-analyses were possible.

Table 24. Meta-Analysis for <6 Weeks Resolution Rate for Newly Diagnosed OME of Unknown Duration In Children Older Than 3 Years of Age
ArticleIDAuthorCriterionAge at diagnosisAntibiotic used?Surgery performed?Followup intervalNumber ears resolvedTotal number earsResoluation rate in %Random Effects Pooled Estimate (95% CI)Test of Heterogeity Q statistic (P-value)
2457Sly-1980B or C to A5yrnounknown<6wk183256.3
2457Sly-1980B or C to A5yrnounknown<6wk112250.0
1714Lamothe-1981Otoscopy6yrnounknown<6wk255347.2
Total5410744.942.3 (24.1, 60.6)7.85 (p=0.02)
ArticleIDAuthorCriterionAge at diagnosisAntibiotic used?Surgery performed?Followup intervalNumber ears resolvedTotal number earsResoluation rate in %Random Effects Pooled Estimate (95% CI)Test of Heterogeity Q statistic (P-value)
2457Sly-1980B to A5yrnounknown<6wk6966.7
2457Sly-1980B to A5yrnounknown<6wk050.0
1714Lamothe-1981Otoscopy6yrnounknown<6wk255347.2
Total316746.337.2 (1.8, 72.5)16.4 (p<0.001)

Note: Lamothe's study used otoscopy and is included in all meta-analyses

Resolution at 6-Week Followup The first set of meta-analyis contains two meta-analyses (Table 24). The meta-analyses showed that if the criteria for resolution were tympanogram type B or C transition to A or by otoscopy, 42.3 percent (95% CI: 24.1%, 60.6%) of ears with newly diagnosed OME of unknown duration in children older than 3 years had resolution by the 6-week exam. If the criteria for resolution were modified to tympanogram type B transition to A or otoscopy, the proportion of ears in children older than 3 years old with resolution at 6-week followup was 37.2 percent (95% CI: 1.8%, 72.5%). Spontaneous resolution rates were significantly different among the cohorts for both definitions. In these studies, the OME resolution rates were calculated by determining the proportion of children without OME at followup, whether or not their baseline OME had resolved and recurred at an earlier point. Thus, these are not cumulative resolution rates (Sly, Zambie, Fernandes et al., 1980; Lamothe, Boudreault, Blanchette et al., 1981).

Table 25. Meta-Analysis for <3 Months Cumulative Resolution Rate for Newly Diagnosed OME of Unknown Duration In Children Older Than 3 Years of Age
ArticleIDAuthorCriterionAge at diagnosisAntibiotic used?Surgery performed?Followup intervalNumber ears resolvedTotal number earsResoluation rate in %Random Effects Pooled Estimate (95% CI)Test of Heterogeity Q statistic (P-value)
1237Fiellau-Nikolajsen-1979B or C to A3–4yrunknownunknown<3mo15434844.3
1235Fiellau-Nikolajsen-1979B or C to A3–4yrunknownunknown<3mo8320041.5
543Tos-1982B or C to A4yrunknownunknown<3mo10339326.2
2242Renvall-1982otoscopy4yrnounknown<12wk8614459.7
Total426108539.342.7 (29.3,56.1)63.01 (p<0.001)
ArticleIDAuthorCriterionAge at diagnosisAntibiotic used?Surgery performed?Followup intervalNumber ears resolvedTotal number earsResoluation rate in %Random Effects Pooled Estimate (95% CI)Test of Heterogeity Q statistic (P-value)
1237Fiellau-Nikolajsen-1979B to A3–4yrunknownunknown<3mo229124.2
1235Fiellau-Nikolajsen-1979B to A3–4yrunknownunknown<3mo166225.8
543Tos-1982B to A4yrunknownunknown<3mo3873.4
2242Renvall-1982otoscopy4yrnounknown<12wk164040.0
Total5728020.422.5 (5.9,39.0)44.28 (p<0.001)
Resolution at 3-Month Followup The second set of meta-analyses are shown in Table 25. The first two meta-analyses assessed resolution of OME by ear by the time of 3-month followup in children older than 3 years. If the criteria for resolution were tympanogram type B or C transition to A, the proportion of ears with resolution of newly diagnosed OME of unknown duration was 42.7 percent (95% CI: 29.3%, 56.1%) among children older than 3 years. If the criteria for OME resolution were tympanogram type B transition to A, then the proportion of ears with resolution was 22.5 percent (95% CI: 5.9%, 39.0%). Spontaneous resolution rates were not significantly different among the studies in either comparison, except for Tos, Holm-Jensen, Sörenson, and Mogensen (1982) which had lower resolution rates. Because Fiellau-Nikolajsen and Lous (1979), Fiellau-Nikolajsen (1979), and Renvall, Anniansson, and Lidèn (1982) terminated followup whenever a child had a type A or normal tympanogram and because Tos, Holm-Jensen, Sörenson, and Mogensen (1982) provided data for calculation of the cumulative OME resolution rate, this estimate represents a cumulative resolution rate. The last three meta-analyses in Table 25 show the derivation of the cumulative resolution rates.

Resolution Rates for Younger Age Groups Only two studies examined the resolution rates for each of the age groups of less than 6 months and 3-months to 3-years (see Tables 22 and 23). Thus, no meta-analyses for children under 3 years of age were performed.

The Role of Influencing Factors in Resolution Similarly, because very few studies assessed the role of factors that might influence resolution, no meta-analyses were performed. The results of individual studies are summarized here:

Summary

We found sufficient data only to analyze the rates of resolution of OME among children older than 3 years old. No data existed on the role of such factors as duration of OME, initial occurrence of AOM, or presence of OME in one vs. both ears. Data on the roles of gender, at-home vs. day care, race/ethnicity, time of year, age of onset, or side of ear were too limited to draw any conclusions.

Key Question 2: What Are the Effects of Early-Life OM on Long-Term Speech and Language Development?

  • Do infants and preschool children with longer-duration early-life OME as compared to those with shorter duration OME have greater delays in speech and language development (receptive or expressive) later in life?

  • Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for speech and language developmental delays?

  • What are the risk factors that interact with the effect of OME on speech and language development in infants and preschool children?

Literature Review

Table 26. List of Cohort Studies Included for Question 2
ID#AuthorYearCohort
1623Kaplan1973Eskimo villages in the Yukon and Kuskokwim River Delta areas of Southwestern Alaska
1255Fischler1985Four Indian reservations in Arizona
4657Roberts1986Frank Porter Graham Child Development Center, Chapel Hill, NC
3118Roberts1988Frank Porter Graham Child Development Center, Chapel Hill, NC
4806Roberts1988Frank Porter Graham Child Development Center, Chapel Hill, NC
4656Roberts1989Frank Porter Graham Child Development Center, Chapel Hill, NC
3117Roberts1991Frank Porter Graham Child Development Center, Chapel Hill, NC
4319Roberts1995Frank Porter Graham Child Development Center, Chapel Hill, NC
1373Gravel1992LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
4728Gravel1996LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
1941Mody1999LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
2295Ruben1997LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
1219Feagans1987Medical and Day Care Intervention Project in Pennsylvania
2135Paul1993Portland Language Development Project (PLDP), Oregon
4651Klein1988The Greater Boston Otitis Media Study Group, MA
2583Teele1990The Greater Boston Otitis Media Study Group, MA
1435Harsten1993University Hospital of Lund, Sweden
877Black1993University of Maryland Medical System, Baltimore, MD
4675Owen1996University of Texas Medical Branch, TX
1277Freeark1992University-based pediatric clinic in Michigan
After secondary screening of the 449 articles retrieved for review, we identified 112 articles that fell within the scope of this question. Tertiary screening identified 20 studies that fulfilled the 5 criteria for analysis. (Table 26) The five criteria included the following:

1) OM was diagnosed/assessed before the age of 3 years, 2) speech or language outcome was measured at or before the age of 22 years, 3) a prospective cohort study design was used, 4) OM was graded, and 5) speech or language outcome was measured beyond 3 years of age. Of the 20 studies, 17 were prospective cohort studies and three (Freeark, 1992; Fischler, 1985; Paul, 1993) were retrospective-prospective studies in which OM history was retrospectively obtained, but outcome measures were prospectively obtained. We did not exclude any studies based on their quality.

When we reviewed the studies included in the 1994 OME Guideline for inclusion in our analysis (Stool, Berg, Berman et al., 1994), we excluded six of the studies. The Friel-Patti and Finitzo (1990) study was excluded, because it was not a prospective cohort study and did not report outcomes for children over 3 years of age. The Friel-Patti (1982) study was excluded because no outcomes were measured in children over 3 years of age. The studies of Lous and Fiellau-Nikolajsen (1988) and Rach, Ziehlhuis, van Baarle, and colleagues (1991 were excluded, because the investigators did not measure OM severity before the age of 3 years. The Rach, Zielhuis, and van den Broek (1988) study was excluded, because it was not a prospective cohort study. The study by Wright, Sell, McConnell, and colleagues (1988) was excluded, because no outcomes were measured in children over 3 years of age. Finally, unlike the OME Guideline (Stool, Berg, Berman et al., 1994), we included the studies by Klein (1988) and Freeark (1992), because study quality was not one of our rejection criteria.

Table 27. List of Cohort Studies Not Included for Question 2 (For Reason of Not Reporting Findings Beyond 3 Years of Age)
ID#AuthorYearCohort
3119Roberts1995Frank Porter Graham Child Development Center, Chapel Hill, NC
4841Wallace1988LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
2739Wallace1988LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
2740Wallace1988LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
4842Wallace1992LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
667Abraham1996LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
4796Petinou1996LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
2742Wallace1996LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
3096Petinou1999LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
4671Luloff1993Longitudinal study investigating the efficacy of drug prophylaxis on otitis media in greater Boston area, MA
4673Tsushima1993Longitudinal study investigating the efficacy of drug prophylaxis on otitis media in greater Boston area, MA
4674Wendler-Shaw1993Longitudinal study investigating the efficacy of drug prophylaxis on otitis media in greater Boston area, MA
875Black1988Maryland Otitis Media Study Group, Baltimore
4708Downs1988Not specified
2719Vernon-Feagans1996Ongoing study of health and day-care in a semi-rural area of northeastern United States
1288Friel-Patti1982Parkland Memorial Hospital, Dallas, TX
4713Feldman1996Pittsburgh-area Child Development/Otitis Media Study Group, PA
4642Paradise2000Pittsburgh-area Child Development/Otitis Media Study Group, PA
2819Wright1988Pneumococcal vaccine study in Nashville, TN
1677Knishkowy1991PROD (Promotion of Growth and Development) Program, Western Jerusalem
2579Teele1984The Greater Boston Otitis Media Study Group, MA
4664Feagans1994Three day-care facilities in central Pennsylvania, PA
Table 27 lists the author, year and cohort of 22 prospective cohort studies that were excluded from our analysis because they did not report outcomes for children older than 3 years of age. These 22 studies actually included only 12 cohorts. Relevant findings for seven of these 12 cohorts were included in our assessment.

Findings

Evidence Table 2 presents the study characteristics, population characteristics, risk factors, and outcome findings for the 20 cohort studies that responded to this question. Speech and language outcomes were examined in a total of 12 cohorts of children. Of these 12 cohorts, nine included children primarily from specific populations, such as a particular ethnic or racial group or a particular socioeconomic group. It is also important to reiterate that cohorts were excluded if they consisted exclusively of children with craniofacial defects, primary mucosal disorders, immunodeficiencies, or a genetic disorder. None of the studies specifically assessed children who already had speech, language, or other developmental delays. One of the studies focused specifically on persistent bilateral OM.

Table 28. Definition of Early Life Positive or Negative OM History in Assessing Long-term Speech and Language Development
ID#Author YearDefinition of Positive/Negative OM HistoryDefinition of OMOM Diagnosis Method
877Black 1993OM History defined by number of episodes of OM within the first year of life documented by otologic examination.
  • Positive OM History: At least 2 episodes of OM within the first year. A child could receive credit for only one bout of OM within each 29-day period.

  • Negative OM History: Had not experienced otitis media during first year of life

Not provided
  • Based on otologic examination

  • Examiner not provided

1219Feagans 1987OM History described by frequency and duration of OM from 0 to 3 years. They were treated as continuous variables for correlation with outcome. No grouping of children by positive or negative history was done.
  • Frequency was calculated by counting the number of different episodes

  • Duration was calculated by counting the total number of days the child had effusion during the first 36 months of life.

Not provided.
  • Based on pneumatic otoscopy. Beginning 1978 tympanometry was used to corroborate the diagnosis

  • OM diagnosed by two pediatricians and two nurse practitioners

1255Fischler 1985OM History defined by number of OM episodes by age 2 years and over age 2.
  • The study defined three groups of children by OM history by number of episodes before and after age 2.

  • For our assessment, we used groups 1 and 2 as positive OM history, i.e. (>=2 attacks by age 2) and group 3 as negative OM history (<2 attacks by age 2).

Any mention of one of the following:
  • Acute suppurative OM: history of ear pain or fussiness with or without fever or ear drainage (less than 5 days), and physical evidence of redness with or without immobility, bulging, or a small perforation of the TM.

  • Serous OM: history of ear fullness, popping, or hearing loss, or an asymptomatic history; and physical evidence of TM retraction and/or immobility, with or without gray or yellow color or bubbles behind the TM

  • Chronic OM: history of ear drainage and perforation present for more than two weeks; and physical evidence of perforation.

  • By medical record review of documented physician's clinical diagnosis.

1277Freeark 1992OM history severity defined by a) number of separate episodes of OM and b) total number of days of effusion over the first 3 years of life.
  • High OM: above median of OM severity

  • Low OM: below median of OM severity

Not specified
  • By whom, not specified; How diagnosed, not specified. (OM history obtained from medical records).

1373Gravel 1992OM groups were defined by otoscopic histories during the first year of life.
  • OM positive: when bilateral OM was detected at 30% or more of the baby's first year visits.

  • OM negative: when middle ear status was rated as normal in both ears during 80% or more of the first year visits.

Not specified
  • Pediatric nurse practitioners completed pneumo-otoscopic examinations during each scheduled well-baby visit

4728Gravel 1996Same as 1373Same as 1373Same as 1373
1435Harsten 1993OM groups were defined by the number of AOM episodes during the first 3 years of life.
  • OM positive: developed six or more episodes of AOM during a 12-month period.

  • OM negative: no AOM episodes and less than six other acute respiratory tract infections.

  • AOM was defined as an acute episode of earache in a child with red bulging eardrum(s) or purulent discharge, occasionally febrile and with signs of upper respiratory tract infection.

  • By otomicropscopy performed by an otolaryngologist

1623Kaplan 1973OM groups were based on age of onset of first episode of otorrhea.
  • The study defined 3 groups: group 1-onset of first otorrhea episode during first year of life; group 2-onset of first otorrhea episode at 2–10 years, and group 3-no history of OM

  • For our assessment, we used group 1 as positive OM history and group 3 as negative OM history.

  • Used only episodes of OM with otorrhea.

  • A research nurse visited the cohort children and obtained information concerning middle ear abnormality and upper respiratory tract illness and reviewed medical records for status between visits.

4651Klein 1988OM history was measured by time spent with effusion during the first 2 years of life and used a ‘window’ of 23 days to each observation of effusion, whether accompanied by signs of illness or not. It could be shortened or extended by multiple examinations.
  • Group 1: time spent with effusion <32 days during first 2 years of life.

  • Group 2: time spent with effusion between 33–108 days during first 2 years of life.

  • Group 3: time spent with effusion >108 days.

  • Criteria for effusion: otorrhea, gas-liquid levels visible on otoscopy or marked reduction of mobility. Tympanometric criterion: type B curve.

  • By pediatricians using pneumatic otoscopy until age 3 and both pneumatic otoscopy and tympanometry in years 4 through 7.

1941Mody 1999OM history defined by pneumatic otoscopy findings during first year of life
  • OM positive: children who had 30% or more of the 13 first-year visits with OM bilaterally

  • OM negative: children who had 80% or more of the 13 first-year visits with normal middle ear findings bilaterally.

  • Used a 9-item otoscopic checklist to determine “clear”, “suspicious,” or “positive” for OM

  • By trained and validated pediatric nurse practitioner using a pneumatic otoscope under the supervision of a pediatric otolaryngologist.

  • The PNP recorded a description of TM characteristics for each ear, using a 9-item otoscopic checklist and made the determination of “clear,” “suspicious,” or “positive” for OM.

4675Owen 1996OME history was measured by days or duration with OME durng the first 3 years of life. Middle ear status was monitored by home visits every 2 to 4 weeks, irrespective of symptoms for the first 3 years of life.
  • At each visit, each ear received a diagnosis of normal or OME. If two consecutive visits showed OME, the intervening days were counted as days with OME. If one visit showed OME and the next normal status, or vice versa, half of the intervening days were counted as days with OME. OME duration was defined as the proportion time a subject spent with OME (total OME days divided by total days) in the period examined.

  • Subjects who experienced 6 continuous weeks of OME in the first year of life were identified as at high risk.

  • OME diagnosis was based on type B tympanogram or >= 5 acoustic reflectivity or visible purulent otorrhea without an otoscope.

  • By trained technicians using automated screening tympanometers with a 26 Hz probe tone. Acoustic reflectivity was also measured using acoustic otoscope at 30% of visits.

2135Paul 1993OM history was measured by middle ear involvement defined as either the placement of myringotomy tubes or the presence of six or more ear infections treated by a physician before the second birthday by parent report.
  • Positive OM: had middle ear involvement

  • Negative OM: lack of such middle ear involvement

  • Based on parental reporting

  • Based on parental reporting

4657Roberts 1986OM history was based on total OME duration in days during first 3 years of life. Duration of each episode of unilateral and bilateral was calculated by subtracting the data of onset of OME from the resolution date. Days of total OME was analyzed both as a continuous and categorical variable.
  • Group 1: days with total OME representing the lower third of the subjects

  • Group 2: days with total OME representing the middle third of the subjects

  • Group 3: days with total OME representing the upper third of the subjects.

  • When middle ear fluid was seen or when the mobility of the tympanic membrane was markedly reduced or absent, OME was diagnosed.

  • Type B tympanograms with a flat or gradually rising shape were considered indicative of OME.

  • Type C tympanograms showing a maximum compliance of less than –100 mm H2O were considered indicative of negative middle ear pressure and of an increase likelihood of effusion

  • By pediatricians and pediatric nurse practitioners based on pneumatic otoscopy. 60% of the time tympanometry was used to corroborate the OME diagnosis.

4656Roberts 1989Same as 4657Same as 4657Same as 4657
3118, 4806Roberts 1988Same as 4657Same as 4657Same as 4657
3117Roberts 1991Same as 4657Same as 4657Same as 4657
4318Roberts 1995Same as 4657Same as 4657Same as 4657
2295Ruben 1997OM history was based on the findings of pneumatic otoscopy at every scheduled and sick visit during the first year of life
  • The OM – group were those who were bilaterally free of OM at 80% or more of their first year visits and had no more than one episode of OM during the first year.

  • The OM+ group had bilateral OM at 30% or more of their first year visits, and had from 2 to 6 episodes during the first year.

Not specified
  • Pneumatic otoscopy by a trained and validated pediatric nurse practitioner.

2583Teele 1990OM history was measured by the number of days with middle ear effusion (MEE) by age 3 years. Unless documented to be shorter, each episode of MEE lasted 29 days.
  • Diagnosis of MEE required either visualization of a gas-liquid mixture through an intact tympanic memberane, otorrhea, or marked reduction in mobility of the TM to both positive and negative pressure.

  • Children whose TM(s) showed reduced mobility in response to positive pressure and normal mobility to negative pressure were considered to have only subatmospheric middle ear pressure.

  • The criteria for effusion using tympanometric devices included a tracing that showed no peak or a tracing that sagged below the baseline (for model 1720B)

  • In private practice, three board-certified pediatricians performed 81% of all exams; in urban health center three board-certified pediatricians performed 66% of all exams.

  • Each center used otoadmittance meters, initially a Grason-Stadler model 1720B. Later, for children 4–7 years, used a Grason-Stadler model 1722.

  • To resolve ambiguous diagnoses, otoadmittance was used sporadically at 0–3 years of age, but frequently at 4–7 years.

For the purpose of responding to this question, we defined early life otitis media as positive otitis media history prior to 3 years of age. Table 28 summarizes the definitions of positive or negative history of otitis media used in these studies and the diagnostic method for OM. The definition of positive or negative OM history varied among the studies. Some studies used percentage of visits during a specified time, some used number of visits with OM, some used days spent with effusion, while others combined various criteria.

The age during which the outcome was measured also varied. This age ranged from one to 3 years. The diagnostic method and the examiner also varied. Several studies based diagnosis on chart review or parents' record. A few studies used pneumatic otoscopy performed by pediatricians, otolaryngologists, or trained professionals.

Table 29. Study Quality for Studies Included in Evidence Table on Speech and Language Development
IDAuthor(s) YearStudy Quality Score a
877Black 19933 (0,0,0,0,1,1,0,1)
1219Feagans 19875 (1,1,1,0,0,1,0,1)
1255Fischler 19855 (1,1,0,0,1,1,1,0)
1277Freeark 19924 (1,0,0,0,0,1,1,1)
1373Gravel 19925 (1,1,0,0,1,1,1,0)
4728Gravel 19963 (0,1,0,0,0,1,1,0)
1435Harsten 19936 (1,1,1,0,1,1,1,0)
1623Kaplan 19736 (1,1,0,0,1,1,1,1)
4651Klein 19884 (1,0,1,0,0,1,0,1)
1941Mody 19994 (1,1,0,0,0,1,0,1)
4675Owen 19964 (1,1,0,0,0,1,0,1)
2135Paul 19933 (0,0,1,0,0,1,0,1)
4657Roberts 19866 (1,0,1,0,1,1,1,1)
4656Roberts 19896 (1,0,1,0,1,1,1,1)
4806Roberts 19884 (1,0,1,0,0,1,0,1)
3118Roberts 19884 (1,0,1,0,0,1,0,1)
3117Roberts 19912 (0,0,0,0,0,1,0,1)
4319Roberts 19953 (0,0,0,0,0,1,1,1)
2295Ruben 19975 (1,1,0,0,1,1,1,0)
2583Teele 19906 (1,0,1,0,1,1,1,1)
a

The eight components of study quality score are: (1) study cohort clearly defined; (2) subjects assembled at a uniform time point; (3) pathway of subject entry clearly described; (4) complete follow-up achieved; (5) withdrawals/drop-outs described; (6) objective outcomes used; (7) outcome assessment blinded; and (8) extraneous factors adjusted. ‘1’ indicates presence and ‘0’ indicates absence.

The quality of the studies included in the evidence table is summarized in Table 29. Of the 20 studies, five (25 percent) received a score of six of a possible of eight points; four (20 percent) scored five points; six (30 percent) scored four points; four (20 percent) scored three points, and one (5 percent) scored two points.

Table 30. Key Characteristics of the Cohort Studies for Question 2
ID#Author YearCohortAge of OM HistoryAge at Outcome MeasureMajor Outcome statisticOutcome MeasureTestNotes
4675Owen 1996Texas0–3 years5 yearsCorrelationCognitionStanford Binet
4319Roberts 1995North Carolina2 months- 3 years12 yearsCorrelationCognitionWISC-R
1623Kaplan 1973Alaska0–1 year10 yearsMean (range)CognitionWISCStratified by concurrent hearing status
877Black 1993Maryland8–22 months4–6 yearsMean (SD)CognitionMcCarthy
1373Gravel 1992New York0–1 year4 yearsMean (SD)CognitionStanford-Binet
4657Roberts 1986North Carolina2 months- 3 years3.5–6 yearsMean (SD)CognitionMcCarthy
4656Roberts 1989North Carolina2 months- 3 years8 yearsMean (SD)CognitionWISC-R
4651Klein 1988Massachusetts0–2 years7 yearsMultivariateCognitionWISC-R
2583Teele 1990Massachusetts0–2 years7 yearsMultivariateCognitionWISC-RAdjusted for SES and gender
3118/4806Roberts 1988North Carolina2 months- 3 years2.5–8 yearsCorrelationExpressive languageElicited language play
3117Roberts 1991North Carolina2 months- 3 years4.5–6 yearsCorrelationExpressive languageCELFStratified by socioeconomic status
4675Owen 1996Texas0–3 years5 yearsCorrelationExpressive languageGoldman-Fristoe test
1255Fischler 1985Arizona0–2 years6–8 yearsMean (SD)Expressive languageTOLD
1373Gravel 1992New York0–1 year4 yearsMean (SD)Expressive languageSICD-R in months
2135Paul 1993Oregon0–2 years4 yearsMean (SD)Expressive languageMLUStratified by normal/late talkers
1219Feagans 1987Pennsylvania0–3 years5–7 yearsMultivariateExpressive languageMLU, ParaphraseReported for total group only
2583Teele 1990Massachusetts0–2 years7 yearsMultivariateExpressive languageWUG testMean adjusted for SES and gender
2295Ruben 1997New York0–1 year2–9 years, yearlyPercent differenceExpressive languageUnknown
1277Freeark 1992Michigan0–3 years3–4 yearsProportionExpressive languageVerbal Scale IndexStratified by Parent Verbal Stimulation (PVS)
4728Gravel 1996New York0–1 year9 yearsRaw data not reportedExpressive languageWRAMLOnly statistical testing was reported
3117Roberts 1991North Carolina2 months- 3 years4.5–6 yearsCorrelationReceptive languageCELFStratified by socioeconomic status (SES)
3117Roberts 1991North Carolina2 months- 3 years4.5–6 yearsCorrelationReceptive languagePPVT-RStratified by SES
4675Owen 1996Texas0–3 years5 yearsCorrelationReceptive languageCAVAT
1255Fischler 1985Arizona0–2 years6–8 yearsMean (SD)Receptive languageTOLD
877Black 1993Maryland8–22 months4–6 yearsMean (SD)Receptive languagePPVT-R
1373Gravel 1992New York0–1 year4 yearsMean (SD)Receptive languageSICD-R in months
2583Teele 1990Massachusetts0–2 years7 yearsMultivariateReceptive languageWUG testAdjusted for SES and gender
2295Ruben 1997New York0–1 year2–9 years, yearlyPercent differenceReceptive languageUnknown
4728Gravel 1996New York0–1 year9 yearsNo raw dataReceptive languageCELF-RStatistical significance only
3118/4806Roberts 1988North Carolina2 months- 3 years2.5–8 yearsCorrelationExpressive speechGoldman-Fristoe
2135Paul 1993Oregon0–2 years4 yearsMean (SD)Expressive speechGoldman-FristoeStratified by normal/late talkers
2583Teele 1990Massachusetts0–2 years7 yearsMultivariateExpressive speechGoldman-FristoeAdjusted for SES and gender
2295Ruben 1997New York0–1 year2–9 years, yearlyPercent differenceExpressive speechUnknown
3118/4806Roberts 1988North Carolina2 months- 3 years2.5–8 yearsCorrelationReceptive speechArticulation tests
1941Mody 1999New York0–1 year9 yearsMean (SD)Receptive speechSynthetic speech syllables
1435Harsten 1993Sweden0–3 years4 yearsProportionReceptive speechLinguistic analysis
4728Gravel 1996New York0–1 year9 yearsNo raw dataReceptive speechPediatric Speech IntelligibilityOnly statistical testing result was reported

CAVAT= Carrow Elicited Language Inventory

CELF= Clinical Evaluation of Language Functions

MLU= Mean Length of Utterance

PPVT-R= Peabody Picture Vocabulary Test-Revised

SD= Standard Deviation

SICD-R= Sequenced Inventory of Communication Development-Revised

TOLD= Test of Language Development

WISC-R= Wechsler Intelligence Scale for Children-Revised

WRAML= Wide Range Assessment of Memory and Learning

WUG= “WUG” test (Berko-Gleason)

Table 30 presents a summary of the key characteristics of the 20 cohort studies including the cohort, age of OM history, age at outcome measure, major outcome statistical analysis, outcome measure of interest, diagnostic procedure(s), and notes. The table is organized by the outcome measures for this key question, namely cognition, expressive language, receptive language, expressive speech, and receptive speech. Since multiple outcomes could be included in one study, a study may appear in several rows. The entries in the “Test” column should be interpreted with caution, because subtests versus global tests were not distinguished.

The factor we used to determine which studies to examine further by meta-analysis was the major outcome measure, which indicates the type of statistical measured used. Whenever three or more studies reported the same outcome measure, we considered pooling the data. Based on this strategy, we conducted three possible meta-analyses to derive the pooled difference between positive and negative early-life otitis media for: expressive language development, receptive language development, and development of cognitive verbal intelligence.

Table 31. Meta-Analysis for Expressive Language Development
ID NumberAuthor-YearCohortAge of OM historyAge of outcome measureName of TestPositive OM History Negative OM History Standardized Mean Difference (95% CI)
NMeanSDNMeanSD
1255Fischler-1985aArizona0–2yr6–8 yrsTOLD3360.020.47164.828.8- 0.18 (-0.59, 0.23)
1373Gravel-1992New York0–1yr4yrsSICD-R836.05.21239.06.2- 0.49 (-1.40, 0.42)
2135Paul-1993aOregon0–2yr4yrsMLU857.83.81354.610.70.35 (-0.54, 1.24)
Random Effects estimate -0.14 (-0.49, 0.20)
Test of standardized mean difference equals 0: z=0.82; p=0.413.
Test of heterogeneity: Chi-squared=1.77 (degrees of freedom=2); p-value=0.412.
a

Retrospective-prospective studies.

OM=Otitis media

TOLD=Test of Language Development

SICD-R=Sequenced Inventory of Communication Development-Revised

MLU=Mean Length of Utterance

N=Number of subjects

SD=Standard deviation

CI=Confidence interval

Expressive Language Development Table 31 presents the findings of the three cohort studies that addressed expressive language development. All three studies measured OM history prior to 3 years of age. Although the pooled standardized mean difference showed an increase of about 14.5 percent (95% C.I.: -49.2%, 20.2%) of a standard deviation in the expressive language measure for the group of children with no early-life OM history compared with those with a positive history, this pooled estimate is not significantly different from zero. Thus, the available data do not support the hypothesis that an OM history prior to 3 years of age has an effect on expressive language development. However, the 95% confidence intervals on our pooled results do not exclude a clinically important effect size of almost 0.5, meaning no strong conclusions can be drawn. The Chi-squared test of heterogeneity showed that the standardized difference was not significantly different among the studies. However, the ages at which outcome was measured and the tests used were not uniform across the studies.

Table 32. Meta-Analysis for Receptive Language Development
ID NumberAuthor-YearCohortAge of OM historyAge of outcome measureName of TestPositive OM History Negative OM History Standardized Mean Difference (95% CI)
NMeanSDNMeanSD
877Black-1993Maryland8–22 mos4–6 yrsPPVT-R2183171072180.62 (-0.15, 1.39)
1255Fischler a -1985Arizona0–2yr6–8 yrsTOLD336728717332-0.19 (-0.61, 0.22)
1373Gravel-1992New York0–1yr4yrSICD-R836513385-0.38 (-1.27, 0.51)
2579Teele-1990Boston0–2yr3yrPPVT-R52101178096150.31 (-0.04, 0.67)
Random effects estimate 0.10 (-0.29, 0.49)
Test of standardized mean difference equals 0: z=0.52; p=0.606.
Test of heterogeneity: Chi-squared=6.22 (degrees of freedom=3); p=0.102.
a

Retrospective-prospective study.

PPVT-R=Peabody Picture Vocabulary Test-Revised

TOLD=Test of Language Development

SICD-R=Sequenced Inventory of Communication Development-Revised

N=Number of subjects

SD=Standard deviation

CI=Confidence interval

Receptive Language Development Table 32 presents the findings of the four cohort studies that addressed receptive language development. All four studies measured OM history at less than 3 years of age. Although the pooled standardized mean difference showed an increase of about 10.3 percent (95% C.I.: -28.9%, 49.5%) of a standard deviation of the receptive language measure in the group of children with no early-life otitis media history, this pooled estimate is not significantly different from zero. Thus, the available data do not support the hypothesis that an OM history prior to 3 years of age has an effect on receptive language development. However, the 95% confidence intervals on our pooled results do not exclude a clinically important effect size of almost 0.5, meaning no strong conclusions can be drawn. The Chi-squared test of heterogeneity showed that the standardized mean difference was not significantly different among the studies. However, the age at which outcome was measured and the test used were not uniform across the four studies. In addition, although the racial/ethnic composition was not reported precisely, one of the studies included primarily African-American children, another primarily American Indian children, and the third primarily Caucasian children in private practice.

Table 33. Meta-Analysis for Cognitive Verbal Intelligence
ID NumberAuthor-YearCohortAge of OM historyAge of outcome measureName of TestPositive OM History Negative OM History Standardized Mean Difference (95% CI)
NMeanSDNMeanSD
877Black-1993MD8–22 mos4–6 yrsMcCarthy2146.711.51041.010.70.49 (-0.27, 1.26)
1373Gravel-1992NY0–1yr4yrsStanford-Binet988.315.91384.39.40.31 (-0.55, 1.17)
4657Roberts-1986NC2mos-3yrs3.5–6yrsMcCarthy1952.08.01952.09.00.00 (-0.64, 0.64)
Random effects estimate 0.23 (-0.20, 0.65)
Test of standardized mean difference equals 0: z=1.05; p=0.292.
Test of heterogeneity: Chi-squared=0.99 (degrees of freedom=2); p=0.609.

OM=Otitis media

N=Number of subjects

SD=Standard deviation

CI=Confidence interval

Cognitive Verbal Intelligence Table 33 presents the findings of the three cohort studies that addressed development of cognitive verbal intelligence. All three studies examined cognitive verbal intelligence, and all measured OM history at less than 3 years of age. Although the pooled standardized mean difference showed an increase of about 23 percent (95% C.I.: -20%, 65%) of a standard deviation in the expressive language measure in the group of children with no early life OM history, this pooled estimate is not significantly different from zero. Thus, the available data do not support the hypothesis that an OM history prior to 3 years of age has an effect on the development of cognitive verbal intelligence. However, the 95% confidence intervals on our pooled results do not exclude a clinically important effect size of almost 0.5, meaning no strong conclusions can be drawn. The Chi-squared test of heterogeneity showed that the standardized mean difference was not significantly different among studies. However, the age at which outcome was measured and the test used were not uniform across the studies. Further, two of the study populations were primarily African-American. The third study population was of lower socioeconomic status.

Summary

The data do not support an effect of early-life OME on language development or cognitive verbal intelligence. However, differences among the cohorts and study conditions and the wide 95% confidence intervals make it difficult to conclude that there is no effect. We found insufficient data to assess early-life OME on speech development.

Key Question 3: What are the Effects of Early-Life OM on Long-Term Hearing?

  • Do infants and preschool children with longer duration early life OME as compared to those with shorter duration OME have permanent (or sensorineural) hearing loss later in life? One specific formulation of this question is: Is OME-associated conductive hearing loss in the first 3 years of life a risk factor for permanent (or sensorineural) hearing loss later in life?

  • What are the risk factors that interact with the effect of OME on hearing later in life (unilateral or bilateral) in infants and preschool children?

Literature Review

Table 34. Cohort Studies at Tertiary Screening and Reasons for Exclusion
ID#Author-YearRejection Reason
2221Rahko-1995Otitis media not measured at less than 3 years of age
2762Webster-1989Case control study
4728Gravel-1996No significant difference observed but no hearing data reported
4846Wright-1984Hearing data at 3–4 years not abstractable.
Table 35. List of Cohort Studies Included for Question 3
ID#Author-YearCohort
147Sorri-1995Birth cohort from Northern Finland
1255Fischler-1985Four Indian reservations in Arizona
1373Gravel-1992LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
1435Harsten-1993University Hospital of Lund, Sweden
1623Kaplan-1973Eskimo villages in the Yukon and Kuskokwim River Delta areas of Southwestern Alaska
2233Reed-1967Eskimo villages in the Yukon and Kuskokwim River Delta areas of Southwestern Alaska
2309Ryding-1997University Hospital of Lund, Sweden
2854Zargi-1992University of Ljubljana, Ljubljana, Slovenia
Table 36. List of Cohort Studies Excluded from Question 3 (For Reason of Not Reporting Findings Beyond 3 Years of Life)
ID#Author-YearCohort
2264Roberts-1998Frank Porter Graham Child Development Center, Chapel Hill, NC
4808Roberts-1988Frank Porter Graham Child Development Center, Chapel Hill, NC
667Abraham-1996LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
2740Wallace-1988LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
4680Gravel-2000LIFE (Longitudinal Infant Follow-up and Evaluation) Program of the Rose F. Kennedy Center, Albert Einstein College of Medicine, Bronx, NY
1288Friel-Patti-1982Parkland Memorial Hospital, Dallas, TX
2819Wright-1988Pneumococcal vaccine study in Nashville, TN
1677Knishkowy-1991PROD (Promotion of Growth and Development) Program, Western Jerusalem
1544Hutchings-1992Six general practices in Oxford, England
4838Vernon-Feagans-1996Three day-care facilities in central Pennsylvania, PA
After secondary screening of the 449 articles we retrieved for review, we identified 186 articles that fell within the scope of this question. Tertiary screening identified 12 studies that fulfilled the five criteria for analysis. The five criteria included 1) OM was diagnosed/assessed before the age of 3 years, 2) hearing outcome was measured at or before the age of 22 years, 3) a prospective cohort study design was used, 4) OM was graded, and 5) hearing outcome was measured after 3 years of age. Of the 12 cohort studies, four were excluded from further analysis. The reasons for exclusion of the four studies are presented in Table 34. Table 35 lists the eight studies included in the evidence table and considered for analysis. Table 36 lists the author, year, and cohort of 10 studies that were not included in the analysis because they failed to report findings for children over 3 years of age.

Findings

Evidence Table 3 presents the study characteristics, population characteristics, risk factors, and findings of the eight cohort studies considered for this question.

Table 37. Definition of Early Life Positive or Negative OM History in Assessing Long-term Hearing Development
ID#Author YearDefinition of Positive/Negative OM HistoryDefinition of OMOM Diagnosis Method
147Sorri 1995OM history was obtained from all possible sources (health care centers, hospitals, and private surgeries). Only children with clear-cut differences in their history were considered.
  • RAOM group: had >=4 recurrent episodes until the age of 2 years.

  • SOM group: had been treated for a long standing (>=3 months) secretory middle ear effusion during the first two years of life.

  • No OM group: had not experienced an acute otitis media episode until the age of 7 years.

Not specifiedNot specified
1255Fischler 1985
  • OM History defined by number of OM episodes by age 2 years and over age 2.

  • The study defined three groups of children by OM history by number of episodes before and after age 2.

  • For our assessment, we used groups 1 and 2 as positive OM history, i.e. (>=2 attacks by age 2) and group 3 as negative OM history (<2 attacks by age 2).

Any mention of one of the following:
  • Acute suppurative OM: history of ear pain or fussiness with or without fever or ear drainage (less than 5 days), and physical evidence of redness with or without immobility, bulging, or a small perforation of the TM.

  • Serous OM: history of ear fullness, popping, or hearing loss, or an asymptomatic history; and physical evidence of TM retraction and/or immobility, with or without gray or yellow color or bubbles behind the TM

  • Chronic OM: history of ear drainage and perforation present for more than two weeks; and physical evidence of perforation.

  • By medical record review of documented physician's clinical diagnosis.

1373Gravel 1992OM groups were defined by otoscopic histories during the first year of life.
  • OM positive: when bilateral OM was detected at 30% or more of the baby's first year visits.

  • OM negative: when middle ear status was rated as normal in both ears during 80% or more of the first year visits.

Not specified
  • Pediatric nurse practitioners completed pneumo-otoscopic examinations during each scheduled well-baby visit

1435Harsten 1993OM groups were defined by the number of AOM episodes during the first 3 years of life.
  • OM positive: developed six or more episodes of AOM during a 12-month period.

  • OM negative: no AOM episodes and less than six other acute respiratory tract infections.

  • AOM was defined as an acute episode of earache in a child with red bulging eardrum(s) or purulent discharge, occasionally febrile and with signs of upper respiratory tract infection.

  • By otomicropscopy performed by an otolaryngologist

1623Kaplan 1973OM groups were based on age of onset of first episode of otorrhea.
  • The study defined 3 groups: group 1-onset of first otorrhea episode during first year of life; group 2-onset of first otorrhea episode at 2–10 years, and group 3-no history of OM

  • For our assessment, we used group 1 as positive OM history and group 3 as negative OM history.

  • Used only episodes of OM with otorrhea.

  • A research nurse visited the cohort children and obtained information concerning middle ear abnormality and upper respiratory tract illness and reviewed medical records for status between visits.

2233Reed 1967Same study population as 1623. This article reported findings at 3–5 years. Article 1623 reported findings at 10 years of age.Same as 1623Same as 1623
2309Ryding 1997OM history groups were defined by the number of recurrent AOM during the first 3 years of life.
  • rAOM group: children with >=6 episodes of purulent AOM during a 12-month period.

  • Healthy group: children with no AOM and <6 other RTI episodes during the study period.

  • AOM was defined as an acute episode of earache in a child with red bulging eardrum(s) or purulent discharge, occasionally febrile and with signs of upper respiratory tract infection

  • AOM was diagnosed by otomicropscopy, performed by an otolaryngologist.

2854Zargi 1992OM history based on parental interviews and by review of hospital charts and other medical documentation.
  • Experimental group: children treated for recurrent acute unilateral or bilateral suppurative OM at 0–2 years of age.

  • Control group: children who experienced <=1 episode of OM in the first 2 years of life

Not specifiedNot specified
Table 37 summarizes the definitions of positive and negative history of OM used in these studies and the diagnostic method for OM. The definitions of positive and negative OM history varied from one study to another. These variations were similar to those identified in the studies of speech and language development.

Table 38. Study Quality for Studies Included in Evidence Table on Hearing
IDAuthor YearStudy Quality Scorea
147Sorri 19954 (0,1,0,0,1,1,0,1)
1255Fischler 19855 (1,1,0,0,1,1,1,0)
1373Gravel 19925 (1,1,0,0,1,1,0,1)
1435Harsten 19936 (1,1,1,0,1,1,1,0)
1623Kaplan 19735 (1,1,0,0,1,1,1,0)
2233Reed 19674 (1,1,0,0,0,1,0,1)
2309Ryding 19975 (0,1,1,0,0,1,1,1)
2854Zargi 19922 (1,0,0,0,0,1,0,0)
a

The eight components of study quality score are: (1) study cohort clearly defined; (2) subjects assembled at a uniform time point; (3) pathway of subject entry clearly described; (4) complete follow-up achieved; (5) withdrawals/drop-outs described; (6) objective outcomes used; (7) outcome assessment blinded; and (8) extraneous factors adjusted. ‘1’ indicates presence and ‘0’ indicates absence.

The study quality of the eight studies included in Evidence Table 3 is summarized in Table 38. Of the eight studies, 1 (12.5 percent) received a score of 6 of a possible of 8 points; 4 (50 percent) scored 5 points; 2 (25 percent) scored 4 points; and one (12 percent) scored 2 points.

Table 39. Characteristics and Outcome Measures of Cohort Studies for Question 3
ID NumberAuthor YearAge at OM historyAge at outcome measureOutcome measured in % hearing lossOutcome measured in mean pure toneOther outcome measure
147Sorri 19950–2yrs7yrs>20 dB pure tone averages, type not specifiedMean air-conduction (AC) threshold, right/left ear
1255Fischler 19850–2yrs6–8yrs>25 dB at 500Hz;
>20 dB at 1000 Hz;
>20 dB at 2000 Hz;
>25 dB at 4000 Hz;
>25 dB at 6000 Hz.
Pure tone type not specified.
1373Gravel 19920–1yrs4 yrsMean pure tone averages obtained at octave frequencies from 500 through 4000 Hz at a minimum, right/left earPediatric Speech Intelligibility sentence (PSI S) to competing messages (CM) ratio
1435Harsten 19930–3yrs4yrs>=25 dB tone-audiometry at any frequency, type not specified.
1435Harsten 19930–3yrs7yrs>=25 dB tone-audiometry at any frequency, type not specified.
1623Kaplan 19730–1yrs10yrs>=25 dB air and bone conduction
2233Reed 19670–2yrs3–5yrs>25 dB pure tone air averages
2309Ryding 19970–3yrs10yrsMedian level of air conduction hearing, right/left ear
2854Zargi 19920–2yrs6–8yrs>10 dB for air-conduction hearing lossSensorineural hearing loss

dB=decibel

PSI=Pediatric Speech Intelligibility

S=Primary sentence

CM=Competing messages

The age at which OM history was taken, age at outcome measure, and type of outcome measure for the 8 cohort studies are displayed in Table 39. With the various combinations of age at outcome and type of outcome measure that characterized the studies, only one combination, percentage of conductive hearing loss at 6 to10 years of age, was considered sufficiently clinically similar to justify statistical pooling: four studies reported this outcome measure at this age range. Three of the four studies (Fischler 1985, Harsten 1993 and Sorri 1995) reported treatment, including oral antibiotics, myringotomy, and tympanostomy tube, for OM episodes; Kaplan (1973) did not address treatment. Sorri (1995) used 20 dB as the air-conduction threshold above which hearing loss was defined. The other three studies used 25 dB as the threshold.

Table 40. Meta-analysis for Effects of Early Life Otitis Media on Long-term Conductive Hearing Lossa
Author YearAge of OM historyAge at Hearing TestingOM+ Sample SizeOM-Sample SizeOM+ Percent Hearing LossOM-Percent Hearing LossRate Difference in %95% CI of Rate Difference in %Risk Ratio95% CI of Risk Ratio
Sorri 19950–2yrs7yrs643551.620.031.6(13.5, 49.6)2.6(1.3, 5.2)
Fischler 19850–2yrs6–8yrs96709.41.47.9( 1.5, 14.4)6.6(0.8, 50.6)
Harsten 19930–3yrs7yrs24568.35.43.0(- 9.6, 15.5)1.6(0.3, 8.7)
Kaplan 19730–1yrs10yrs1627619.87.911.9( 3.2, 20.5)2.5(1.1, 5.7)
Random effects estimates 34623721.76.411.3( 3.3, 19.3)2.6(1.6, 4.2)
Test of heterogeneity Chi-square test value40.310.57.31.1
Test of heterogeneity Chi-square test p-value <0.0010.0150.0640.768
The following analysis excluded article by Sorri.
Fischler 19850–2yrs6–8yrs96709.41.47.9(1.5,14.4)6.6(0.8,50.6)
Harsten 19930–3yrs7yrs24568.35.43.0(-9.6,15.5)1.6(0.3,8.7)
Kaplan 19730–1yrs10yrs1627619.87.911.9(3.2,20.5)2.5(1.1,5.7)
Random effects estimates 28220213.04.28.4(3.6,13.2)2.6(1.3,5.2)
Test of heterogeneity Chi-square test value6.84.41.41.1
Test of heterogeneity Chi-square test p-value 0.0340.1140.5080.566
a

Hearing Loss was at >20–25 dB threshold at any frequency with or without treatment measured at 6–10 years of age.

Sorri, Fischler and Harsten did not specify type of pure-tone test used in defining hearing loss. Kaplan used air and bone conduction.

Abbreviations: OM+: positive otitis media history; OM-: negative otitis media history; CI: confidence interval.

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   Figure 1. Shrinkage Plot for Rate Difference in Conductive Hearing Loss at 6-10 Years Presence of early life OM versus Absence of early life OM

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-otdiagv1f7.jpg.

   Figure 2. Funnel Plot for Rate Difference in Conductive Hearing Loss at 6-10 Years Presence of early life OM versus Absence of early life OM

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-otdiagv1f8.jpg.

   Figure 3. Shrinkage Plot for Relative Risk of Conductive Hearing Loss at Age 6-10 Years Positive Early Life OM versus Negative Early Life OM

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-otdiagv1f9.jpg.

   Figure 4. Funnel Plot for Log Relative Risk of Conductive Hearing Loss at Age 6–10 Years Positive Early Life OM versus Negative Early Life OM

We conducted two meta-analyses, one including all four studies and another that excluded the Sorri 1995 studies, which used a different threshold for hearing loss from that of the other three studies. The meta-analysis findings are reported in Table 40. The pooled risk of conductive hearing loss among 346 children who had early-life OM was 22 percent (95% CI: 7% to 36%), compared with 6 percent (95% CI: 1% to 12%) among 237 children who did not have a history of early-life OM. The pooled difference in rate of hearing loss between those with an early-life OM history and those without was 11 percent (95% CI: 3% to 19%), and the pooled risk ratio was 2.6 (95% CI: 1.6 to 4.2). Thus, an early-life history of OM was significantly associated with conductive hearing loss. Neither the studies pooled for the rate difference nor the studies pooled for the risk ratio were statistically heterogeneous. Figure 1 presents the shrinkage plot and Figure 2 presents the funnel plot for the rate difference and Figure 3 and Figure 4 present similar plots for the risk ratio of hearing loss. These figures show that negative early-life OM history is more favorable in term of conductive hearing loss at age 6 to 10 years. The funnel plots for the risk difference and the risk ratio (Figure 2 and Figure 4, respectively) showed no indication of publication bias. Neither the adjusted rank correlation tests (Begg, 1999) nor the regression asymmetry test (Egger, 1997) indicated publication bias for either statistic (p>0.99 for the risk difference; p=0.31 for the risk ratio; p=0.71 for the risk difference; p=0.28 for the risk ratio; respectively). However, these results should be interpreted with caution. Only four studies were included in the analysis. Moreover, each of these cohorts included relatively homogeneous populations of children, one from Finland, another from Sweden, one primarily of American Indian children, and another primarily of Eskimo children. The sensitivity analysis that excluded the Sorri (1995) study did not change the conclusions. However, the exclusion of the Sorri study reduced the variability of the rate difference and lowered the pooled difference in rate of conductive hearing loss between those with a positive OM history and those without from 11 percent (95% CI: 3% to 19%) to 8 percent (95% CI: 4% to 13%).

Summary

The results support that history of early-life OME is associated with increased risk for conductive hearing loss. However, the number of studies with similar outcome measures is small. We found insufficient data to assess the early-life OM on permanent hearing loss.

Key Question 4: Diagnostic Methods for OME

What are the sensitivity, specificity, and predictive values for alternative methods of diagnosing OME compared with one of the reference standards?

These methods include, but are not limited to:

  • signs/symptoms

  • non-pneumatic otoscopy

  • pneumatic otoscopy, validated or non-validated examiner

  • binaural micro-tympanoscopy

  • portable tympanometry

  • professional tympanometry

  • quantitative tympanometry

  • acoustic reflectometry (specify model and year)

  • otoacoustic emissions

  • audiometry, air or bone conduction thresholds.

Literature Review

After secondary and tertiary screening of the 449 articles we retrieved for review, we identified 75 articles that fell within the scope of this question. When we compared our list with the 1994 OME Guideline (Stool, Berg, Berman et al., 1994), we found five studies that were included in the 1994 OME Guideline but not in our assessment. We excluded the Kaleida (1992) and the Shurin, Pelton and Finkelstein (1977) studies, because data were not abstractable. The McDermott and Giebink, Le, and colleagues (1983) and the Teele and Teele (1984) studies were excluded, because they did not address the scope of this question. The Lampe, Weir, Spier, and colleagues (1985) study was excluded, because it was a duplicate of another study. We included three studies that were rejected by the developers of the 1994 OME Guideline, because we did not reject any studies based on study quality. These were the studies by Haughton (1977), Karma (1989), and Marchart (1986).

Table 42. Reason for Exclusion of Diagnostic Studies After Full-Length Article Review
ID NumberAuthor(s) YearRejection Reason
2877Alho 1998Data not abstractable
694Amedee 1995Diagnostic procedure and gold standard greater than 24 hours apart.
887Block 1999Not addressing OME
912Boswell 1993No gold standard
968Buhrer 1985No gold standard
1015Chang 1998Not a diagnostic study
1149Douniadakis 1993No gold standard
1167Duncan 1982Diagnostic procedure and gold standard greater than 24 hours apart.
1233Fields 1993Diagnostic procedure and gold standard greater than 24 hours apart.
1236Fiellau-Nikolajsen 1979Diagnostic procedure and gold standard greater than 24 hours apart.
1239Fiellau-Nikolajsen 1980Diagnostic procedure and gold standard greater than 24 hours apart.
1281Fria 1980Procedure not in scope
4749Kaleida 1992Data not abstractable
2014Nozza 1997Not all referrals had gold standard
2070Palmu 1999Only 42/242 ears had myringotomy
2145Pellett 1997No gold standard
2385Schwartz 1987No gold standard
2434Silman 1992No gold standard
2435Silman 1994No gold standard
2438Silva 1997Data not abstractable
2442Silverman 1995No gold standard
2556Takahashi 1999Data not abstractable
2786Williams 1977Diagnostic procedure and gold standard greater than 24 hours apart.
Of the 75 articles accepted for data abstraction, we included 52 studies in our assessment (listed in Table 41). Table 42 lists the reasons for exclusion of the 23 remaining articles. Evidence Table 4 presents the study characteristics, the characteristics of the study population, and the study findings of each of the 52 studies included.

Of the 52 studies, 33 (63 percent) scored three points or fewer on our six-point quality scale. Of the 19 studies that scored more than three points, 15 studies scored four points, three studies scored five points, and one study scored six points. Most of the studies in this group are of poor quality, a finding that replicates those of Lijmer, Mol, Heisterkamp and colleagues (Lijmer, Mol, Heisterkamp et al., 1999).

Findings

Evidence Table 4 presents the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and prevalence of OME in the cohort for each comparison of diagnostic methods and reference standards listed within the scope of this assessment.

Table 43. Number of Articles by Diagnostic Method and Reference Standard
Diagnostic MethodReference Standard
MyringotomyTympanocentesisValidated pneumatic otoscopyTotal
Acoustic reflectometry61310
Audiometry-air and bone conduction thresholds22
Audiometry-air conduction threshold415
Binaural micro-tympanoscopy22
Non-pneumatic otoscopy44
Pneumatic otoscopy-examiner validation not specified33
Pneumatic otoscopy-unvalidated examiner99
Pneumatic otoscopy-validated examiner11
Portable tympanometer88
Professional tympanometry356647
Quantitative tympanometry44
Signs/symptoms22
Total808997

Note: A record can be counted more than once within a cell (i.e. controlling for intervention group.)

Table 43 summarizes the number of comparisons for each diagnostic method and reference standard pair. On the basis of these numbers we selected groups of three or more studies for meta-analysis, from which we derived pooled random effect estimate, 95% confidence intervals, and measure of heterogeneity for sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and prevalence.

Table 44. Acoustic Reflectometry (>=5 vs <5 RU) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityFried-1985446271.0
Macknin-19878412865.6
Babonis-199168 118 57.6
Total19630863.664.2(57.0, 71.5)3.60.168
SpecificityFried-1985364090.0
Macknin-1987437061.4
Babonis-199190 102 88.2
Total16921279.780.4(65.0, 95.9)18.4<0.001
PrevalenceFried-19856210260.8
Macknin-198712819864.6
Babonis-1991118 220 53.6
Total30852059.259.6(52.5, 66.7)5.40.067
Table 45. Pneumatic Otoscopy versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityParadise-197613613898.6
Cantekin-197721323092.6
Bluestone-197924225694.5
Karma-198972675396.4
Mains-198910211687.9
Toner-199010812487.1
Finitzo-1992107 115 93.0
Total1634173294.393.8(91.4, 96.3)28.8<0.001
SpecificityParadise-1976567574.7
Cantekin-197711314080.7
Bluestone-197913116977.5
Karma-198927733981.7
Mains-1989849390.3
Toner-1990879888.8
Finitzo-199228 48 58.3
Total77696280.780.5(75.1, 86.0)27.2<0.001
PrevalenceParadise-197613821364.8
Cantekin-197723037062.2
Bluestone-197925642560.2
Karma-1989753109269.0
Mains-198911620955.5
Toner-199012422255.9
Finitzo-1992115 163 70.6
Total1732269464.362.8(58.3, 67.2)30.7<0.001
Table 46. Portable Tympanometry (Mixed Criteria) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityOrchik-1978213953.8
Babonis-19919211878.0
Rees-1992260260100.0
Vaughan-Jones-199212013588.9
van Balen-199414715694.2
Koivunen-199752 66 78.8
Total69277489.484.5(76.0, 93.1)39.6<0.001
SpecificityOrchik-1978353794.6
Babonis-19918410282.4
Rees-199295018.0
Vaughan-Jones-1992416563.1
van Balen-1994377748.1
Koivunen-1997137 175 78.3
Total34350667.864.4(44.3, 84.4)167.1<0.001
PrevalenceOrchik-1978397651.3
Babonis-199111822053.6
Rees-199226031083.9
Vaughan-Jones-199213520067.5
van Balen-199415623367.0
Koivunen-199766 241 27.4
Total774128060.558.5(40.3, 76.7)268.9<0.001
Table 47. Professional Tympanometry (Acoustic Reflex at 500 or 1000 Hz) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityOrchik-1978353989.7
Orchik-1980343987.2
Nozza-1992718187.7
Nozza-1994106 124 85.5
Total24628386.987.1(83.2, 91.0)0.60.901
SpecificityOrchik-1978293778.4
Orchik-1980263770.3
Nozza-1992263086.7
Nozza-199461 94 64.9
Total14219871.774.8(64.6, 85.0)8.20.041
PrevalenceOrchik-1978397651.3
Orchik-1980397651.3
Nozza-19928111173.0
Nozza-1994124 218 56.9
Total28348158.858.6(48.5, 68.6)14.90.002
Table 48. Professional Tympanometry (Static Compensated Acoustic Admittance at 0.1) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
(A) Including both Nozza articles
SensitivityFiellau-Nikolajsen-198094619.6
Nozza-1992258130.9
Nozza-19943713727.0
Barnett-199895 175 54.3
Total16643937.833.2(17.5, 48.9)38.1<0.001
SpecificityFiellau-Nikolajsen-19804242100.0
Nozza-1992293096.7
Nozza-199410911297.3
Barnett-1998104 124 83.9
Total28430892.295.0(88.5, 100)13.90.003
PrevalenceFiellau-Nikolajsen-1980468852.3
Nozza-19928111173.0
Nozza-199413724955.0
Barnett-1998175 299 58.5
Total43974758.859.7(51.8, 67.7)14.20.003
(B) Excluding Nozza-1992 study
SensitivityFiellau-Nikolajsen-198094619.6
Nozza-19943713727.0
Barnett-199895 175 54.3
Total14135839.433.9(12.7, 55.0)36.9<0.001
SpecificityFiellau-Nikolajsen-19804242100.0
Nozza-199410911297.3
Barnett-1998104 124 83.9
Total25527891.794.1(83.9, 100)13.70.001
PrevalenceFiellau-Nikolajsen-1980468852.3
Nozza-199413724955.0
Barnett-1998175 299 58.5
Total35863656.356.3(52.5, 60.2)1.40.510
Table 49. Professional Tympanometry (Static Compensated Acoustic Admittance at 0.2) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
(A) Including Both Nozza Studies
SensitivityFiellau-Nikolajsen-1980214645.7
Nozza-1992748191.4
Nozza-19946313746.0
Barnett-1998110 175 62.9
Total26843961.061.8(39.0, 84.7)93.4<0.001
SpecificityFiellau-Nikolajsen-1980404295.2
Nozza-1992213070.0
Nozza-199410311292.0
Barnett-199893 124 75.0
Total25730883.484.5(74.0. 95.0)23.0<0.001
PrevalenceFiellau-Nikolajsen-1980468852.3
Nozza-19928111173.0
Nozza-199413724955.0
Barnett-1998175 299 58.5
Total43974758.859.7(51.8, 67.7)14.20.003
(B) Excluding Nozza-1992 Study
SensitivityFiellau-Nikolajsen-1980214645.7
Nozza-19946313746.0
Barnett-1998110 175 62.9
Total19435854.252.2(39.5, 64.8)10.70.005
SpecificityFiellau-Nikolajsen-1980404295.2
Nozza-199410311292.0
Barnett-199893 124 75.0
Total23627884.987.7(76.8. 98.5)17.9<0.001
PrevalenceFiellau-Nikolajsen-1980468852.3
Nozza-199413724955.0
Barnett-1998175 299 58.5
Total35863656.356.3(52.5, 60.2)1.40.510
Table 50. Professional Tympanometry (Static123 Compensated Acoustic Admittance at 0.3) versus Myringotomy
Random Effect Estimate Test of Heterogenneity
MeasureAuthor-YearXN%%95% CIQP-Value
(A) Including both Nozza articles
SensitivityOrchik-1978353989.7
Fiellau-Nikolajsen-1980164634.8
Nozza-1992598172.8
Nozza-199496 137 70.1
Total20630368.067.4(49.2, 85.7)41.6<0.001
SpecificityOrchik-1978153740.5
Fiellau-Nikolajsen-1980104223.8
Nozza-1992243080.0
Nozza-199490 112 80.4
Total13922162.956.4(27.5, 85.3)69.4<0.001
PrevalenceOrchik-1978397651.3
Fiellau-Nikolajsen-1980468852.3
Nozza-19928111173.0
Nozza-1994137 249 55.0
Total30352457.858.2(48.1, 68.3)15.90.001
(B) Excluding Nozza-1992 study
SensitivityOrchik-1978353989.7
Fiellau-Nikolajsen-1980164634.8
Nozza-199496 137 70.1
Total14722266.265.4(39.1, 91.7)41.5<0.001
SpecificityOrchik-1978153740.5
Fiellau-Nikolajsen-1980104223.8
Nozza-199490 112 80.4
Total11519160.248.6(10.2, 87.0)64.7<0.001
PrevalenceOrchik-1978397651.3
Fiellau-Nikolajsen-1980468852.3
Nozza-199413724955.0
Total22241353.853.8(49.0, 58.6)0.40.811
Table 51. Professional Tympanometry (B curve as abnormal) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityOrchik-1978468454.8
Shaw-1978484998.0
Johnson-1980557474.3
Ben-David-198119525078.0
Kennedy-1982445186.3
Gersdorff-1986618175.3
Park-198818224873.4
Mitchell-1990576587.7
Toner-199010712486.3
Finitzo-1992657290.3
Vaughan-Jones-19929113567.4
Ovessen-199331034290.6
Sassen-199422527980.6
Tom-199410015365.4
Renvall-19968710186.1
Watters-1997679 745 91.1
Total2352285382.480.9(76.1, 85.7)196.6<0.001
SpecificityOrchik-1978525889.7
Shaw-197831030.0
Johnson-1980314175.6
Ben-David-1981396163.9
Kennedy-1982212487.5
Gersdorff-1986274757.4
Park-1988153839.5
Mitchell-1990101952.6
Toner-1990919892.9
Finitzo-1992192286.4
Vaughan-Jones-1992616593.8
Ovessen-1993375172.5
Sassen-19945910158.4
Tom-1994476078.3
Renvall-1996252696.2
Watters-1997166 210 79.0
Total70393175.574.5(66.9, 82.0)147.8<0.001
PrevalenceOrchik-19788414259.2
Shaw-1978495983.1
Johnson-19807411564.3
Ben-David-198125031180.4
Kennedy-1982517568.0
Gersdorff-19868112863.3
Park-198824828686.7
Mitchell-1990658477.4
Toner-199012422255.9
Finitzo-1992729476.6
Vaughan-Jones-199213520067.5
Ovessen-199334239387.0
Sassen-199427938073.4
Tom-199415321371.8
Renvall-199610112779.5
Watters-1997745 955 78.0
Total2853378475.473.6(69.1, 78.1)156.6<0.001
Table 52. Professional Tympanometry (B or C2 curve as abnormal) versus Myringotomy
Random Effect Estimate Test of Heterogeneity
MeasureAuthor-YearXN%%95% CIQP-Value
SensitivityOrchik-1978313979.5
Fiellau-Nikolajsen-1980424691.3
Kennedy-19825151100.0
Vaughan-Jones-199212013588.9
Ovessen-199332334294.4
Sassen-1994253 279 90.7
Total82089291.993.8(91.1, 96.4)9.440.093
SpecificityOrchik-1978323786.5
Fiellau-Nikolajsen-1980374288.1
Kennedy-1982112445.8
Vaughan-Jones-1992416563.1
Ovessen-1993275152.9
Sassen-199433 101 32.7
Total18132056.661.8(41.5, 82.1)89.8<0.001
PrevalenceOrchik-1978397651.3
Fiellau-Nikolajsen-1980468852.3
Kennedy-1982517568.0
Vaughan-Jones-199213520067.5
Ovessen-199334239387.0
Sassen-1994279 380 73.4
Total892121273.667.3(56.3, 78.2)90.1<0.001
Table 53. Summary of Meta Analysis for Diagnostic Comparisons, Excluding Duplicated Studies by Same Author
Random Effect Estimate Test of Heterogeneity
MeasureIDDiagnostic Comparison versus MyringotomyNumber ArticlesNumber CasesMeasure %%95% CIQP-Value
Sensitivity1Acoustic reflectometry (>=5 vs <5)330863.664.2(57.0, 71.5)3.60.168
2Pneumatic otoscopy7173294.393.8(91.4, 96.3)28.8<0.001
3Portable tympanometry677489.484.5(76.0, 93.1)39.6<0.001
5Professional tympanometry (using static compensated acoustic admittance at 0.1)335839.433.9(12.7, 55.0)36.9<0.001
6Professional tympanometry (using static compensated acoustic admittance at 0.2)335954.252.2(39.5, 64.8)10.70.005
7Professional tympanometry (using static compensated acoustic admittance at 0.3)322266.265.4(39.1, 91.7)41.5<0.001
8Professional tympanometry (using flat or B curve as abnormal)16285382.480.9(76.1, 85.7)196.6<0.001
9Professional tympanometry (using flat or B or C2 curve as abnormal)689291.993.8(91.1, 96.4)9.40.093
Specificity1Acoustic reflectometry (>=5 vs <5)321279.780.4(65.0, 95.9)18.4<0.001
2Pneumatic otoscopy796280.780.5(75.1, 86.0)27.2<0.001
3Portable tympanometry650667.864.4(44.3, 84.4)167.1<0.001
5Professional tympanometry (using static compensated acoustic admittance at 0.1)327891.794.1(83.9, 100)13.70.001
6Professional tympanometry (using static compensated acoustic admittance at 0.2)327884.987.7(76.8, 98.5)17.9<0.001
7Professional tympanometry (using static compensated acoustic admittance at 0.3)319160.248.6(10.2, 87.0)64.7<0.001
8Professional tympanometry (using flat or B curve as abnormal)1693175.574.5(66.9, 82.0)147.8<0.001
9Professional tympanometry (using flat or B or C2 curve as abnormal)632056.661.8(41.5, 82.1)89.8<0.001
Prevalence1Acoustic reflectometry (>=5 vs <5)352059.259.6(52.5, 66.7)5.40.067
2Pneumatic otoscopy7269464.362.8(58.3, 67.2)30.7<0.001
3Portable tympanometry6128060.558.5(40.3, 76.7)268.9<0.001
5Professional tympanometry (using static compensated acoustic admittance at 0.1)363656.356.3(52.5, 60.2)1.40.510
6Professional tympanometry (using static compensated acoustic admittance at 0.2)363656.356.3(52.5, 60.2)1.40.510
7Professional tympanometry (using static compensated acoustic admittance at 0.3)341353.853.8(49.0, 58.6)0.40.811
8Professional tympanometry (using flat or B curve as abnormal)16378475.473.6(69.1, 78.1)156.6<0.001
9Professional tympanometry (using flat or B or C2 curve as abnormal)6121273.667.3(56.3, 78.2)90.1<0.001

Note: Comparison #4 had only two studies and thus not included in the summary

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-otdiagv1f10.jpg.

   Figure 5. Receiver Operator Characteristic (ROC) Plot for 8 Diagnostic Procedures Versus Myringotomy

Tables 44 through 52 present the results of the meta-analyses that compare sensitivity, specificity, and prevalence rate for acoustic reflectometry at <=5 or >5 RU (reflective units), pneumatic otoscopy, portable tympanometry, professional tympanometry using acoustic reflex at 500 or 1000 Hz, professional tympanometry using static compensated acoustic admittance at 0.1, professional tympanometry using static compensated acoustic admittance at 0.2, professional tympanometry using static compensated acoustic admittance at 0.3, professional tympanometry using B curve as abnormal, and professional tympanometry using B or C2 curves as abnormal, respectively, using myringotomy as the reference standard. Findings excluding duplicates are summarized in Table 53. The receiver-operator characteristic points that correspond to sensitivity versus (1-specificity) are plotted in Figure 5. The receiver operator characteristic points showed that pneumatic otoscopy was closest to the optimal operating point where both sensitivity and specificity would be 100 percent.

Among the nine diagnostic methods, pneumatic otoscopy and professional tympanometry (using flat or B or C2 curve as abnormal) had the highest sensitivity at 93.8 percent (95% CI: 91.4, 96.3) and 93.8 percent (95% CI: 91.1, 96.4) compared with myringotomy, respectively. The diagnostic test with the highest specificity was professional tympanometry (using static compensated acoustic admittance at 0.1) at 95.0 percent (95% CI: 88.5, 100).

An external file that holds a picture, illustration, etc., usually as some form of binary object. The name of referred object is er-otdiagv1f11.jpg.

   Figure 6. Positive and Negative Predictive Values (PPV and NPV) of Pneumatic Otoscopy by Prevalence of Otitis Media with Effusion Based on Pooled Estimate of Sensitivity at 93.8 % and Specificity at 80.5%

If we consider both sensitivity and (1 minus specificity) in the receiver-operator characteristic display in Figure 5, pneumatic otoscopy is closest to the optimal operating point where both sensitivity and specificity are 100 percent. The pooled sensitivity was 94 percent (95% CI: 91%, 96%), and the pooled specificity was 80 percent (95% CI: 75%, 86%). These findings were based on 2,694 children from 7 studies that reported a pooled prevalence of OME of 63 percent (95% CI: 58%, 67%). The estimated prevalence rates ranged from 56 percent to 71 percent, which indicated significant heterogeneity (p<0.001). We used the pooled sensitivity and specificity for pneumatic otoscopy and derived the positive and negative predictive values for various prevalence levels. Figure 6 provides such a plot.

Table 54. Study Quality and Test Performer of Diagnostic Studies Used in Meta-Analysis
Diagnostic ComparisonAuthor-YearStudy QualityaTest Performer
1. Acoustic reflectometry (>=5 vs <5 RU) with myringotomyFried-19851(100000)Not specified
Macknin-19874(111001)Pediatrician
Babonis-19915(111011)One of the authors, specialty not specified
2. Pneumatic otoscopy with myringotomyParadise-19764(111001)Pediatrician
Cantekin-19771(100000)Not specified
Bluestone-19792(100001)Not specified
Karma-19893(100101)Otolaryngologist/pediatrician
Mains-19891(100000)Senior registrar and senior house officer
Toner-19902(100001)One of the authors, specialty not specified
Finitzo-19924(111001)Pediatric otolaryngologist
3. Portable tympanometry (mixed criteria) with myringotomyOrchik-19784(111001)Not specified
Babonis-19915(111011)One of the authors, specialty not specified
Rees-19921(100000)Not specified
Vaughan-Jones-19922(100001)Not specified
van Balen-19944(111010)General practitioner with special training from ENT
Koivunen-19973(110001)department Trained nurse
4. Professional tympanometer (using acoustic reflex at 500 or 1000 Hz) with myringotomyOrchik-19784(111001)Not specified
Orchik-19804(111001)Not specified
Nozza-19924(111001)Audiologist/nurses
Nozza-19944(111001)Clinically certified and licensed audiologist
5. Professional tympanometer (using static compensated acoustic admittance at 0.1) with myringotomyFiellau-Nikolajsen-19804(111001)Author
Nozza-19924(111001)Audiologist/nurses
Nozza-19944(111001)Clinically certified and licensed audiologist
Barnett-19984(111001)Research assistant
6. Professional tympanometer (using static compensated acoustic admittance at 0.2) with myringotomyFiellau-Nikolajsen-19804(111001)Author
Nozza-19924(111001)Audiologist/nurses
Nozza-19944(111001)Clinically certified and licensed audiologist
Barnett-19984(111001)Research assistant
7. Professional tympanometer (using static compensated acoustic admittance at 0.3) with myringotomyOrchik-19784(111001)Not specified
Fiellau-Nikolajsen-19804(111001)Author
Nozza-19924(111001)Audiologist/nurses
Nozza-19944(111001)Clinically certified and licensed audiologist
8. Professional tympanometer (using flat or B curve as abnormal) with myringotomyOrchik-19784(111001)Not specified
Shaw-19781(100000)Not specified
Johnson-19802(110000)Audiologist
Ben-David-19811(100000)Not specified
Kennedy-19821(100000)Audiologist
Gersdorff-19861(100000)Not specified
Park-19881(100000)Not specified
Mitchell-19901(100000)Not specified
Toner-19902(100001)Not specified
Finitzo-19924(111001)Certified audiologist
Vaughan-Jones-19922(100001)Not specified
Ovessen-19934(111001)Otolaryngologist
Sassen-19943(111000)Not specified
Tom-19944(111001)Certified audiologists
Renvall-19961(100000)Not specified
Watters-19972(110000)Paediatric audiologist
9. Professional tympanometer (using flat or B or C2 curve as abnormal) with myringotomyOrchik-19784(111001)Not specified
Fiellau-Nikolajsen-19804(111001)Author
Kennedy-19821(100000)Audiologist
Vaughan-Jones-19922(100001)Not specified
Ovessen-19934(111001)Otolaryngologist
Sassen-19943(111000)Not specified
a

The first number is the total score of the six components. The six components of study quality score are: (1) appropriate reference standard; (2) test and reference standard assessed independently of each other; (3) blinded reading of results; (4) patient sample included an appropriate spectrum as in clinical practice; (5) reproducibility and interpretation of test results determined; and (6) description of test method sufficient to permit replication. ‘1’ indicates presence and ‘0’ indicates absence of the criterion.]

Table 54 shows an analysis of the study quality of the diagnostic tests included in the meta-analyses. With the exception of the study by Babonis (Babonis, Weir, Kelly, 1991), which scored five, all studies scored four or less out of a maximum of six possible points. The majority of the studies did not fulfill criterion four on representativeness of patient sample in clinical practice or criterion five on determination of reproducibility of test results. Among the seven studies used to derive the pooled estimates of sensitivity and specificity for pneumatic otoscopy, two studies scored the minimum of one point, two scored two points, one scored three points, and two scored four points.

In Table 54, we also compare the qualifications of the examiner performing the diagnostic test for each study. Of the seven studies in the comparison between pneumatic otoscopy and myringotomy, two studies did not specify the test performer, one study specified that a senior registrar and a senior house officer performed the test, and the remaining four specified that either a pediatrician or an otolaryngologist performed the test. However, whether the test performer was trained or untrained was not specified.

Summary

The meta-analyses revealed that pneumatic otoscopy and professional tympanometry had the highest sensitivity compared with myringotomy. While the diagnostic test with the highest specificity was professional tympanometry (using static compensated acoustic admittance at 0.1), pneumatic otoscopy optimized both sensitivity and specificity. However, the poor quality of many of the studies included in the analysis must be considered. Moreover, most studies failed to provide enough information to assess the qualifications of testers.

Chapter 4. Conclusions

Despite the recent publication of the 1994 Guidelines on Otitis Media with Effusion in Children (Stool, Berg, Berman, et al., 1994), controversy persists over the management and treatment of otitis media with effusion (OME). The present evidence report systematically reviews the recent literature and provides an update to the 1994 guideline on the diagnosis and the late effects of OME on speech, language, and hearing. In addition, while the 1994 OME guideline (Stool, Berg, Berman et al., 1994) did not formally assess OME resolution rates, the present report reviews the natural history of OME. Although the technical expert panel proposed 20 potential key questions for this report, our time constraints allowed us to address only the four key questions judged by the panel to be most pressing and to have the most significant body of recent literature. We did not address any key questions on treatment or management. Of a total of 449 articles originally identified for this report, only a small percentage qualified for inclusion in the synthesis. Thus, the number of meta-analyses performed was a fraction of those we had hoped would inform this report. Our conclusions should be read with this perspective in mind.

Natural History of OME

Based on the available evidence, this report assessed the natural history of OME in terms of resolution rates. The availability of relevant studies limited our analysis to an assessment of natural history at two periods of followup and only for children 3 years of age and older; we were unable to perform meta-analysis for the under-3 age group. For children older than 3 years of age, we were able to conduct two sets of meta-analyses on the resolution of otitis media with effusion at two followup intervals. These sets were matched by unit of analysis, age group, and OME type and, when possible, diagnostic method.

The first set of meta-analyses assessed resolution at 6 weeks followup. In children older than 3 years of age with OME of unknown duration at the onset of the study, 37.2 or 42.3 percent of ears with OME were free of OME at 6 weeks followup, without regard to their interval OME status, depending on the tympanometric diagnostic criteria for OME resolution. Spontaneous resolution rates were significantly different among the cohorts included in the first set of meta-analyses.

The second set of meta-analyses assessed resolution at 3 months followup. Over a period of 3 months, in studies with cumulative resolution rates, and in children older than 3 years of age with OME of unknown duration, 22.5 or 42.7 percent of ears with OME resolve, depending on the tympanometric diagnostic criteria for OME resolution. A disadvantage of using ears as the unit of analysis is the clinical interpretation of the resolution rate: the distribution of OME resolution using ears cannot be assumed to be the same when children are the unit of analysis. Spontaneous resolution rates were not significantly different among the cohorts included in the second set of meta-analyses.

Apart from age, tympanometric criteria for OME diagnosis, and criteria for resolution on followup, which were reported in the studies, we did not have sufficient information from the studies to consider other influential factors. It was also not possible to know with certainty if the children in the various cohorts presented at identical stages in the course of OME. It is unclear why the non-cumulative, 6-week resolution rate estimate should overlap the cumulative, 3-month resolution rate estimate to such an extent. The non-cumulative resolution rate would be expected to include children whose OME had resolved and then re-accumulated middle-ear effusions (which would make the non-cumulative rate greater than the cumulative rate). Therefore, we view these estimates of OME resolution with great caution.

In the Results section, we also described isolated studies of daily followup, resolution of OME of at least 3 months duration at study onset, and a study that derived OME resolution rate equations. The findings of these studies were too limited to draw any broad conclusions. Similarly, a few studies assessed the effects of influencing factors on OME resolution, but, again, we hesitate to draw any generalizations based on such limited evidence.

Literature on the natural history of OME was difficult to interpret for several reasons. These reasons include its generally poor quality of the research, the lack of control for therapeutic interventions, the inability to distinguish persistent as opposed to recurrent OME due to the length of followup, and the varied criteria for continued followup from examination to examination. We recognize that the meaning of quality summary scores, as measured in this analysis by scoring of documentation in the published articles, can be ambiguous (Jüni, Witschi, Bloch et al., 1999). Nevertheless, whether as a summary score or considering individual quality domains, the quality of the twenty-eight cohort studies on natural history was poor. Twenty-four of twenty-seven of these studies had a quality score of three or less on a scale of one (lowest) to six (highest), even though our preselection process guaranteed all cohort studies a minimum score of one. Half of the studies that attempted to assess the natural history of OME did not control for or document control of interventions, either medical or surgical, that might affect OME outcome during the study period. The majority of these investigations did not stratify findings by intervention status. In addition, the intervals between examinations for OME in these studies varied from one day to 3 years; and, it was impossible to assess whether the “continuing” presence of OME, especially after a long interval, represented persistent or recurrent OME. Furthermore, the criteria for followup varied among studies. Most studies continued followup for the whole study period regardless of OME status at a particular exam, but four cohorts terminated followup of individuals who had type A or normal tympanograms at any exam.

Differing definitions of OME resolution and diagnostic methods also make comparison difficult. As noted in the Results chapter, a difference in the definition of OME resolution between tympanogram type B or C transition to A and tympanogram type B transition to A resulted in a three-fold difference in the estimate of OME resolution in one case. As can be seen from our assessment of the operating characteristics of various OME diagnostic methods in the response to Key Question 4 in the Results, the apparent OME resolution rate could be greatly influenced by the sensitivity and specificity of a test.

A paucity of research studies made it impossible to address several other issues. These included the use of the child or the episode as the unit of analysis. Furthermore, we could not assess OME resolution in younger children or the resolution of OME that was not newly diagnosed and of unknown duration.

The literature was lacking in evidence addressing potential factors that might influence OME resolution. A few studies analyzed the potential influence on OME resolution of factors such as gender, at home care versus daycare, season of onset, side of affected ear, race/ethnicity, or diagnostic instrument. Because of the paucity of such studies, quantitative synthesis was not possible. Such information is also necessary to allow generalizations to specific clinical situations.

Similar to the results of Rosenfeld (1999a), our pooled OME resolution rates could be stratified by age and by tympanometric criteria for OME. Although Rosenfeld did not specify his tympanometric criteria, his analysis found a one-month OME resolution rate of 52 percent (95% CI: 47%, 58%) for OME of unspecified duration in cohort studies with ears as the unit of analysis, regardless of age. This finding is similar to our observation of 42.3 percent resolution (95% CI: 24.1%, 60.6%) for children older than 3 years of age. This finding was not based on cumulative resolution rates but on the disappearance of OME at various points in time in children who had OME at the start of the observation period. Further, Rosenfeld (1999a) found a two-to 3-month OME resolution rate of 63 percent (95% CI: 60%, 63%) for OME of unspecified duration in cohort studies with ears as the unit of analysis, regardless of age. This rate is somewhat higher than our estimate of 42.7 percent (95% CI: 29.3%, 56.1%), which was based on studies that measured cumulative resolution.

We restricted our analysis to prospective cohort studies to provide better assessments of the natural history of OME in the general population of children. Nevertheless, we recognize that information on the natural history of OME may also be gleaned from analysis of the results of randomized, controlled trials of treatment of OME, as Rosenfeld (1999a) subsequently reported. Such estimates would be more applicable than would cohort studies on the general population of children to those who, for whatever reason, are being followed closely for their OME by their health provider. Children being screened for OME in the general population might not necessarily have presented to the health care system for evaluation. As a result, these children might represent a less severe class of OME or at least a different population from those children who were already identified with and being followed for OME and who were deemed potential candidates for therapeutic intervention. Rosenfeld (1999a) reported OME resolution rates of 12 percent (95% CI: 8%, 16%), 23 percent (95% CI: 21%, 26%), and 24 percent (95% CI: 17%, 32%), at two weeks, one month, and one to 3 months followup, respectively, in children with OME that had lasted weeks or months and were randomized to the placebo or no-drug arms of randomized controlled trials. In addition, he assessed OME resolution rates of children with OME that lasted 3 months or longer who were surgical candidates for tympanostomy tubes. He found the following OME resolution rates at 6 months, 1 year, 2 years, 3 years, and 4 years for children assigned to the no intervention groups: 27 percent (95% CI: 20%, 35%), 32 percent (95% CI: 24%, 40%), 31 percent (95% CI: 25%, 37%), 49 percent (95% CI: 37%, 62%), and 59 percent (95% CI: 46%, 72%). A strength of these studies is that the diagnosis of OME tended to rely on pneumatic otoscopy as well as tympanometry, rather than on tympanometry alone. A major difficulty of these studies, as with the cohort studies, is the inability to account for interventions received from other providers and beyond the control of the investigators. In fact, one of these investigators mentioned that “Antibiotic treatment was not controlled for in this study” (Maw and Bawden, 1994). Another difficulty, as with the cohort studies, is the inability to distinguish persistent from recurrent OME, due to the long intervals between followup assessments.

Finally, the publication of multiple articles based on the study of a single cohort raises a complex issue. If multiple studies from one cohort were included once in a meta-analysis, the results would be unbiased. However, if findings from a single cohort were included more than once in a meta-analysis, then bias would exist.

Effects of Early-life OM on Long-term Speech and Language Development

Our intent was to examine the influence of long and short-duration OME that results in hearing loss on delays in speech and language development and the ability of other factors to modify the effect of OME. However, we found few studies that addressed these questions. Only 20 of 112 studies (19%) (on 12 cohorts) met our criteria for consideration for this question. These studies further suffered from lack of uniformity with respect to risk factors studied, type of outcome measured, method of measurement, unit of measurement, and age at outcome determination.

The generalizability of our findings also is questionable, since nine of the twelve cohorts primarily included children from specific ethnic/racial groups or particular socioeconomic groups. Five of the six studies included in the three meta-analyses were based on such cohorts. However, we excluded studies on children with specific medical conditions such as craniofacial defects, primary mucosal disorders, immunodeficiencies, and genetic disorders. The available literature did not address the effect of pre-existing speech, language, or other developmental disorders, and only one study focussed on the effect of bilateral persistent middle-ear effusion.

Based on our criteria, only nine of the twenty studies (45 percent) were of acceptable quality. These studies scored five points or more on an eight-point scale.

Our analysis was limited to assessing whether early-onset OME resulted in delays in expressive and receptive language development and cognitive verbal intelligence. For children older than 3 years of age who had a positive history of otitis media during the first 3 years of life, our meta-analyses on long-term expressive language (three studies), receptive language (four studies), and cognitive verbal intelligence (three studies) showed no effect of early otitis media. The 1994 OME guideline (Stool, Berg, Berman et al., 1994) had determined that meta-analysis of the 14 “adequate” studies was not possible, because of the wide variety of measurement tools used for outcome assessment as well as a lack of standardization of data reporting. We were able to identify articles that had appeared since the release of the 1994 OME guidelines.

Nevertheless, our findings on the possible effects of early-life OM on speech and language development are in general agreement with the conclusion of the 1994 OME guideline (Stool, Berg, Berman et al., 1994). They concluded that “rigorous, methodologically sound research does not adequately support or refute the theory that untreated otitis media with effusion results in speech/language delays or deficits.” Our findings were also in agreement with those noted in the 1994 OME guideline that “Conflicting findings among studies can be accounted for in several ways: limitations in the research designs, lack of uniformity of test instrument selection, lack of definition of hearing status, and interactions between otitis media with effusion and other risk factors,” as well as differences in populations studied. Thus, we caution clinicians not to generalize these findings to children with the underlying chronic medical conditions that were excluded from this study or to those with pre-existing developmental disorders. In addition, generalization to children with persistent bilateral OM may not be valid, since only one of the studies specifically assessed bilateral as opposed to unilateral or bilateral otitis media.

Several ongoing, prospective studies are assessing the effect of early otitis media on long-term speech and language development of children older than 3 years. However, the results of these studies have not yet been published (Paradise, Dollaghan, Campbell et al., 2000;Feldman, Dollaghan, Campbell et al., 1999;Paradise, Rockette, Colborn et al., 1997;Roberts, Burchinal, Zeisel et al., 1998;Roberts, Burchinal, Jackson et al., 2000). These studies will provide further data on which to base an assessment of the effect of OM on speech and language development.

Effects of Early-life OM on Long-term Hearing

Although the immediate effect of OM on the conductive aspects of hearing is well recognized, the long-term effect of early OM on sensorineural hearing has not been well established (Madell, 1999). Our findings indicate that early OM may have an effect on long-term hearing.

Of the eight cohort studies we analyzed, four reported percent of hearing loss at 6 to 10 years of age. Children with early-life OM have a 2.6 times higher risk of hearing loss at 6 to 10 years of age than do children with no early history of OM with an estimated rate difference of 11 percent. The rate difference and the risk ratio were not significantly different among the cohorts. If early OM does indeed lead to long-term hearing deficits, the clinical implications are significant. Depending on the degree of hearing loss, the hypothesized effect of OM on speech and language development as mediated through hearing loss may be of greater duration than would be explained by the intermittent and transient episodes of conductive hearing loss associated with OM. In addition, the question of the effect of OME treatment on long-term hearing gains greater relevance.

The literature available for assessment of the long-term effects of early-life OM on hearing is both limited and of poor quality. Only four percent (eight of the 186) of the studies that addressed OM and hearing qualified for inclusion in our analysis, and only half of these were of acceptable quality. The evidence on the effects of early OM on long-term hearing also suffered from the same methodological issues as the evidence on the effects of early-life OM on long-term speech and language development. Because of the limited nature of this evidence, and because the rate of intervention depends greatly on the threshold hearing level adopted, the findings of our analysis should be used with caution.

Diagnostic Methods for OME

Previous assessments of diagnostic techniques for OME have recommended several different techniques. The 1994 OME Guidelines recommended pneumatic otoscopy (Stool, Berg, Berman, et al., 1994).

Using 52 diagnostic studies, we were able to evaluate the diagnostic accuracy of the following eight methods: acoustic reflectometry at ≤5 or >5 RU; pneumatic otoscopy; portable tympanometry; professional tympanometry using static compensated acoustic admittance at 0.1, 0.2, and 0.3; professional tympanometry using B curve as abnormal; and professional tympanometry using B or C2 curves as abnormal. All comparisons used myringotomy as the reference standard.

Among the eight diagnostic methods, the receiver-operator characteristic points (plotting sensitivity against [1 minus specificity]) for pneumatic otoscopy were closest to the optimal point of 100% sensitivity and 100% specificity. The pooled sensitivity for pneumatic otoscopy was 94 percent (95% CI: 91%, 96%); the pooled specificity was 80 percent (95% CI: 75%, 86%); the positive predictive value was 89 percent (95% CI: 87%, 92%); the negative predictive value was 89 percent (95% CI: 86%, 93%), and the accuracy was 89 percent (95% CI: 87%, 91%). These findings were based on 2,694 children from seven studies that reported a pooled prevalence rate for OME of 63 percent (95% CI: 58%, 67%). The prevalence rates among the studies ranged from 56 percent to 71 percent, which was a significant variation (p<0.001). The diagnostic test with the highest specificity was professional tympanometry (using static compensated acoustic admittance at 0.1) at 95.0 percent (95% CI: 88.5, 100).

Our findings are in general agreement with the recommendations and findings of the 1994 OME guideline (Stool, Berg, Berman et al., 1994). The 1994 OME guideline stated that “The diagnostic evaluation of suspected otitis media with effusion should include pneumatic otoscopy. Otoscopy alone (without the use of the pneumatic otoscope to test tympanic membrane mobility) is not recommended.” This recommendation was deemed a strong one based on limited scientific evidence and strong Panel consensus. Based on limited scientific evidence and expert opinion, the 1994 OME guideline also allowed the following option: “Tympanometry may be used as a confirmatory test for otitis media with effusion.” The OME Guidelines did not include quantitative syntheses of the evidence.

Our analysis considered several references not cited by the 1994 OME guideline; some were accepted, and some were rejected. The results of our meta-analyses confirm that pneumatic otoscopy had the best operating characteristics among the nine alternatives examined. Our findings also confirm that certain, but not all, categories of tympanometry also perform well in identifying middle-ear effusion in OME as well as in distinguishing it from other entities. While the 1994 OME guideline did not make a recommendation regarding acoustic reflectometry, our findings suggest that acoustic reflectometry does not perform as well as pneumatic otoscopy and certain types of tympanometry. The use of the spectral gradient angle, as the unit of measurement, may improve the sensitivity of acoustic reflectometry compared to the use of reflectivity, but this observation is based on a single study that found a sensitivity of 95.4 percent using a threshold of 95 degrees (Barnett, 1998) (compared to the pooled sensitivity of 64.2 percent for a threshold reflectivity of 5 found in this study. However, the specificity was 31.5 percent when a spectral gradient angle of 95 degrees was used as the threshold, compared to the pooled specificity of 80.4 percent with a threshold reflectivity of 5 in this study. Unlike the 1994 OME guideline, which commented on the combination of tympanometry and pneumatic otoscopy, we did not assess combinational diagnostic methods or algorithms. OME guideline, which commented on the combination of tympanometry and pneumatic otoscopy, we did not assess combinational diagnostic methods or algorithms.

The finding that pneumatic otoscopy can do as well as or better than tympanometry and acoustic reflectometry has significant practical implications. For the typical clinician, pneumatic otoscopy should be easier to employ than other diagnostic methods. The important question may be what degree of training will be needed for the clinician to be as effective with pneumatic otoscopy as were the examiners in the studies reviewed in this report. Also, while we did not do a cost-effectiveness analysis, the cost of pneumatic otoscopy, in terms of direct and indirect costs, would appear to be less than that for tympanometry or acoustic reflectometry.

Because of inadequate evidence, we could not conduct evaluations of clinical signs and/or symptoms, air and/or bone threshold audiometry, binocular micro-tympanoscopy, and non-pneumatic otoscopy in the diagnosis of OME. In addition, diagnostic methods that use algorithms or aggregated scorings are important but were not included in the scope of this evidence assessment. The sources of variation of such combinational methods are difficult to detect in published articles. In addition, we must emphasize that we assessed the diagnosis of OME middle-ear effusion at single points in time rather than the diagnosis of persistent or recurrent OME over time. The meta-analyses of diagnostic tools raised several methodological concerns. One concern centered on pooling data from studies of diverse populations. The differences in OME prevalence among the studies point to one aspect of this diversity. In addition, we were concerned about the different models of instruments within the broad categories of diagnostic methods. We assume instrumentation has improved or at least changed over time in the areas of tympanometry and acoustic reflectometry as well as in the other diagnostic methods that could not be assessed in depth.

In addition, as alluded to above, a definitive assessment of diagnostic methods for the diagnosis of middle-ear effusion in OME would require an assessment of the cost-effectiveness of the different diagnostic procedures. Such an assessment could not be incorporated into our analysis due to a limited time frame. Cost-effectiveness analysis would take into account the specific impact of test results, including false positives and false negatives, which will depend on examiner proficiency and the patient preferences for specific outcomes. Cost-effectiveness analysis would also establish optimal operating points or thresholds for diagnostic methods measured on both ordinal and continuous scales (Sox, Stern, Owen et al, 1989).

Study Limitations

Several limitations of the study applied to the evidence analysis as a whole. These included the issues of the selection of key questions, publication language as an exclusion factor, study quality, and the analysis of influencing factors. This section addresses these issues. Limitations that pertained to individual questions are discussed in the Results section.

Question Selection

Several peer reviewers commented on the absence of OME treatment as a topic of inquiry of this study. The key questions were selected using a standard consensus methodology, as described in the Methods section. The technical experts were asked to consider various factors when selecting questions. One of these factors was the importance of the question (as assessed by the potential impact on OME outcomes and on development of future OME guidelines). Another consideration was feasibility (as assessed by the ability to complete the study in 6 months and the availability of sufficient information or new information, if a systematic review had already been done in the past). Therefore, treatment questions were not arbitrarily included or avoided; instead, adherence to our key question selection method led to the questions that were included. Whether the methodology for selecting key questions needs to be reconsidered in future systematic reviews is a valid question. In addition, whether the composition of a particular technical expert panel might influence the selection of key questions is also a valid question for future systematic reviews.

Study Language

Table 55. Country of Origin of Studies Included in Evidence Tables
Country of OriginAll Questions (n=112)Question 1: Natural History (n=33)Question 2: Speech and Language (n=20)Question 3: Hearing (n=7)Question 4: Diagnostic Methods (n=52)
Belgium22
Canada11
Denmark18144
England936
Finland413
France11
Israel211
Italy11
Korea11
Kuwait11
Northern Ireland22
Scotland211
Sweden6312
The Netherlands422
Turkey11
USA53619424
not specified44
Non-USA55 (51%)27 (82%)1 (5%)3 (43%)24 (50%)
USA53 (49%)6 (18%)19 (95%)4 (57%)24 (50%)
For this analysis, we did not include literature published in other languages, although we did consider studies conducted in non-English-speaking nations but published in English-language journals. This decision was based on our previous experience of limited yield from non-English language publications for our evidence assessment of the management of acute otitis media (Takata, Chan, Shekelle et al., in press; Chan, Takata, Shekelle et al., in press). In that assessment, we reviewed a total of 97 articles published in non-English-language journals and found two eligible for inclusion. However, these studies were also reported in English language publications. In Table 55, we tabulated the country of origin of the 112 studies included in the evidence tables. Of the 108 studies that specified country of origin, 55 (51%) were from (15) countries other than the United States. The percentage of studies from countries other than the United States was 82 percent (27 of the 33) for the natural history question, 50 percent (24 of 48) for the diagnostic methods question, 43 percent (three of seven) for the hearing question, and 5 percent (1 of 19) for the speech and language development question. We also observed that among our peer reviewers, four of whom were European (including two from non-English-speaking countries), none mentioned any specific studies from the non-English-language literature that they believed should have been included in the analysis, based on our study criteria.

Study Quality

For two reasons, no prospective cohort studies were excluded based on study quality. First, we decided that if sufficient numbers of studies were available, we would study the variability of findings by either stratified or sensitivity analyses. Secondly, we recognized the potential problems with summary quality scores (Jüni, Witschi, Bloch et al., 1999). For example, we recognized that a study may have adhered to a high quality of study design but not have documented that design in the article. The abstracted data may be viewed along with our quality score, based on the design described in the article, in the evidence tables.

Influencing Factors

As we mentioned in the Results section, we were unable to conduct in-depth analysis by influencing factors for any of our key questions, due to the constraints of the available evidence. In particular, our assessment of the effect of early-life otitis media on long-term speech, language, and hearing was limited to an assessment of the effect of OME duration. The available evidence was not sufficient to allow us to address the second part of the question, namely, the influence of other risk factors, using standard analytic techniques within the resources and timeframe of this evidence analysis. The technical expert panel had listed many demographic (including SES), environmental, and clinical factors that might either act independently or interact with OME to affect speech and language. To address this question, a meta-regression approach would be required to identify the risk factors that contribute significantly to speech, language, and hearing delays in the context of otitis media and could include both comparative and single cohort studies. However, many issues must be addressed in order to set up data for meta-regression analysis appropriately. Such issues would require a great deal more input from technical experts than was possible with the resources available in this study.

Chapter 5. Future Research

General Issues

The need for future research on otitis media with effusion (OME) and otitis media (OM) can be substantiated only by the demonstration of a negative effect of OM on important outcomes such as speech, language, and hearing. The available data do not provide such evidence in the case of speech and language and, suggest, at most, a possible effect of early-life OM on long-term hearing, based on evidence that may not be generalizable. Thus, future research must still establish the effect of early-life OM on speech, language, and hearing. Such future research will benefit by addressing the following general issues, which affect study quality and outcomes assessment. The definitions of OME and OM and of relevant interventions, influencing factors, and outcomes should be standardized.

A common, testable framework, with flexibility for competing hypotheses, that links predisposing factors to OME and OM and then OME or OM to outcomes such as long-term speech and language development and hearing, should be adopted. This framework should include hypotheses on the role of child characteristics, environmental and social influences such as socioeconomic status, and medical factors such as interventions, on outcomes.

Agreement on appropriate follow-up intervals to provide valid estimates of duration or frequency of OME and OM is needed to help in comparing results from different studies.

Additional areas where future research should focus include potential gaps in practice and newer outcome measures. Such outcome measures include general health status and quality issues such as satisfaction with treatment.

Natural History

Future research on the natural history of OME must focus on improvement of study quality and establishing the effect of OME on long-term outcomes such as speech, language, and hearing. In particular, control of therapeutic intervention during the study and the distinction between OME persistence and recurrence need to be addressed. Considering the difficulties of conducting a natural history study on OME, a less restrictive definition of nonintervention might be considered. Even with a less restrictive definition of nonintervention, studies should consider presenting data that has been stratified by the level of intervention each child receives during the study period. For example, if a child is allowed to have antibiotics, the exact circumstances when antibiotics may be given should be determined a priori, the number of episodes of such antibiotic administration should be noted, and the outcome measures reported should be stratified by intervention level. However, with a less restrictive definition of nonintervention, the researcher runs the risk of conducting a study with little meaning or applicability to natural history.

Researchers and clinicians should agree upon standard procedures for follow-up, including intervals of follow-up, so that resolution rates are indeed comparable. As the study by Moller and Tos (1990) demonstrated, even daily exams did not necessarily lead to a greater distinction between persistence of OME and recurrence; thus, we do not expect this to be an easy issue to resolve. The issue of assessment of OME duration or recurrence is as important as the issue of diagnosis of OME at a single point in time.

Researchers need to agree upon a definition of OME resolution and the diagnostic methods with which to make that determination. The latter will require further research into the operating characteristics of OME diagnostic methods, as we have reported in this evidence report. Further enhancements in diagnostic methods must also be achieved. Although perhaps more relevant to studies on outcomes other than resolution, more research is needed that views the child as the unit of analysis, since the actual outcomes of concern, such as speech, language, and hearing, are functional requirements of a child, not an ear.

Further research on the role of influencing factors, such as socioeconomic status, on the natural history of OME may help the clinician in a particular setting make a better decision when assessing a child with particular characteristics. Among the influencing factors the technical expert panel thought were potentially important, the only factors addressed were age, gender, daycare setting, season, and racial/ethnic origin, and those were addressed by only a few studies. Study findings will be useful when they are generalizable, either because of their similarity to the population served by a particular clinician or because they address children with characteristics similar to a specific child the clinician is assessing. However, the issue of OME resolution is relevant only if OME has an impact on outcomes of relevance, such as long-term speech, language, or hearing.

Effects of Early-life OM on Long-term Speech and Language Development

For evaluation of long-term effects of early-life otitis media on speech and language development, a coordinated uniform approach that uses a rational conceptual framework is recommended. Such an approach should address the risk factors, such as socioeconomic status, interventions, and outcome measures in an integrated fashion. Conceptual frameworks include the Global Language Model, the Interactive Language and Attention Model, and a transactional model (Vernon-Feagans, 1999; Roberts and Wallace, 1997). The Global Language Model hypothesizes that mild to moderate hearing loss that results from otitis media is the actual causal factor that leads to speech and language deficits. The Interactive Language and Attention Model also hypothesizes an important role for hearing loss. However, this model also distinguishes between early and later developmental effects and the timing of hearing loss in the life of the child and places greater emphasis on risk and protective factors that may interact with hearing loss as well as directly affecting speech and language development. The transactional model ascribes an important role to differences in parent or caregiver response to children with and without chronic otitis media on long-term effects.

Generalizability of study findings will be enhanced in future research if details of risk or influencing factors and interventions are well planned and documented. Included in this assessment of risk factors should be the issue of hearing loss (both conductive and sensorineural) associated with otitis media as a possible cause of long-term speech and language deficits.

For future systematic reviews, we propose the consideration of an “individual-level-data meta-analysis” method (Mathew and Nordstrom, 1999; Stewart and Clarke, 1995; Stewart and Parmar, 1993) to study the long-term effects on outcomes such as speech, language, or hearing, with many of the suggestions for improvement of study quality noted above. This approach would call for the collaboration of investigators from various institutions who have been following cohorts of children prospectively to contribute data on individual members of their cohorts. Eligible cohorts are identified based on a priori criteria. Risk factors, interventions, and outcomes of interest are also defined a priori. The unique feature of “individual-level-data meta-analysis” is the ability it confers to retrieve a uniform set of data directly on risk factor, intervention, and outcome data, case by case. This case-specific data set could then be analyzed using meta-regression or other multivariate techniques. A meta-analysis of updated individual patient data has been found to provide the least biased and most reliable means of addressing questions that have not been satisfactorily resolved by individual studies (Stewart and Parmar, 1993). However, the quality of data and the ability for cohort investigators to collect and share relevant data are important factors in the success of this approach (Steward and Clarke, 1995).

In all aspects of analysis, definitions, classifications, and types and units of measure should be developed by a team of experts prior to the start of a study. A consensus on the definitions and classification of otitis media and on relevant outcome measures will allow for comparisons among cohorts. We realize the lack of knowledge as to what specific aspects of speech and language development might be affected by early otitis media. Nevertheless, we would encourage experts to develop a uniform panel of tests that would measure the broad array of possible aspects of speech and language development hypothesized to be affected and could be consistently applied in research studies by all investigators. Literature on findings should report univariate as well as multivariate analysis findings to allow pooling of data. Many studies reported correlation coefficients or regression coefficients, which are difficult to interpret and to use in quantitative synthesis.

Several prospective studies on the effect of early otitis media on long-term speech and language development are ongoing (Paradise, Dollaghan, Campbell et al., 2000; Feldman, Dollaghan, Campbell et al., 1999; Paradise, Rockette, Colborn et al., 1997; Roberts, Burchinal, Zeisel et al., 1998; Roberts, Burchinal, Jackson et al., 2000). Whether these studies answer more definitively the questions regarding the effect of otitis media on long-term speech and language and delineate areas, apart from the general research issues noted above, for further prospective studies on speech and language will be better assessed when the results of these studies are reported in the peer-reviewed literature.

Effects of Early-life OM on Long-term Hearing

Future research should attempt to confirm whether early-life otitis media leads to more permanent hearing loss than intermittent and transient conductive hearing loss. The importance of hearing loss, whether intermittent and transient or permanent and long-standing, associated with early-life otitis media, should be addressed as noted in the section above on the effect of early otitis media on speech and language development. Similar methodological recommendations, including the “individual-level-data meta-analysis” approach, apply to research on long-term hearing effects and speech and language effects of early otitis media. If OM does affect long-term hearing, the effect of OM treatment on long-term hearing and its cost-effectiveness are of great importance and must be addressed in future prospective studies.

Diagnostic Methods for OME

Future research on the diagnosis of OME will need to start with the definition of OME. The difficulty in reaching a consensus on the definition of OME was seen in our discussion of this issue with our technical expert panel. The technical experts agreed that OME was defined as “fluid in the middle ear without signs or symptoms of ear infection,” as proposed by the 1994 OME guideline (Stool, Berg, Berman et al., 1994). However, they could not agree on which signs or symptoms should be absent, i.e. what signs or symptoms differentiated OME from acute otitis media. Without such agreement, we believe little progress can be made in improving the diagnosis of OME.

Limiting the assessment of OME diagnostic methods to those that address middle-ear effusion specifically, as we did, will require further expert consensus on important conceptual issues. One issue that was brought to our attention by one of our technical experts and that was discussed in depth by our technical expert panel was whether diagnosis of middle-ear effusion in the child with OME was different than in the child with acute otitis media. For example, since the child with acute otitis media is in discomfort, whatever the symptoms that are ascribed to acute otitis media, that child will be more difficult to examine for the presence of middle-ear effusion than a child with OME, who by definition is asymptomatic. After much discussion, our panel decided that the diagnosis of middle-ear effusion was different in the context of these two clinical conditions; however, we are aware that other experts may not agree with this opinion. Future systematic reviews will require studies of much higher quality than are currently available. In addition, future studies must provide details on the characteristics of the children studied and the study setting so that the generalizability of the findings can be assessed. Studies confined to children with known middle-ear effusions in tertiary care settings may be easier to conduct, but the clinician in general practice is faced with children whose middle-ear status is unknown at the time of presentation. Future research must provide information that is applicable to the child with unknown middle-ear status in the primary care setting.

Pneumatic otoscopy might appear to be less costly and more easily employed by the typical clinician than other diagnostic options such as tympanometry and acoustic reflectometry. Nevertheless, future studies on the diagnostic assessment of OME should consider cost-effectiveness analysis, which can take into account the variable proficiency of clinicians in performing pneumatic otoscopy as well as the consequences of testing and patient preferences (Sox, Stern, Owen et al., 1989). Cost-effectiveness analysis will enable more informed decisions on the best diagnostic method for OME. The assessment of more complex diagnostic methods such as combination tests or algorithms would also benefit from cost-effectiveness analysis. Such analysis should be undertaken in the future.

Evidence Tables

[The eight components of study quality score are: study cohort clearly defined; subjects assembled at a uniform time point; pathway of subject entry clearly described; complete follow-up achieved; withdrawals/drop-outs described; objective outcomes used; outcome assessment blinded; and extraneous factors adjusted. 1 indicates presence and 0 indicates absence.]

[The eight components of study quality score are: study cohort clearly defined; subjects assembled at a uniform time point; pathway of subject entry clearly described; complete follow-up achieved; withdrawals/drop-outs described; objective outcomes used; outcome assessment blinded; and extraneous factors adjusted. 1 indicates presence and 0 indicates absence.]

“The six components of Study Quality Score are: appropriate reference standard; test and reference standard assessed independently of each other; blinded reading of results; patient sample included an appropriate spectrum as in clinical practice; reproducibility and interpretation of test results determined; and description of test method sufficient to permit replication. 1 indicates presence and 0 indicates absence.”

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