NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.

Ramsay C, Pickard R, Robertson C, et al. Systematic Review and Economic Modelling of the Relative Clinical Benefit and Cost-Effectiveness of Laparoscopic Surgery and Robotic Surgery for Removal of the Prostate in Men with Localised Prostate Cancer. Southampton (UK): NIHR Journals Library; 2012 Nov. (Health Technology Assessment, No. 16.41.)

Cover of Systematic Review and Economic Modelling of the Relative Clinical Benefit and Cost-Effectiveness of Laparoscopic Surgery and Robotic Surgery for Removal of the Prostate in Men with Localised Prostate Cancer

Systematic Review and Economic Modelling of the Relative Clinical Benefit and Cost-Effectiveness of Laparoscopic Surgery and Robotic Surgery for Removal of the Prostate in Men with Localised Prostate Cancer.

Show details

Appendix 1Protocol


1. Background

Prostate cancer causes approximately 13% of cancer-related deaths and 4% of all deaths in the UK with an age-standardised mortality rate of 26/100,000, amounting to 10,000 men each year.1 In the UK 35,000 new cases were reported in 2005.1,2 In 1997 the annual cost to the NHS was estimated at £55 million3 whereas in 2007 the drug cost alone was approximately £130 million4 and with added costs for surgery, radiotherapy, and hospital and community care the current annual cost is likely to exceed £200 million.

The largest rise in incidence seen recently is among relatively younger men as a consequence of case-finding and screening for asymptomatic disease5,6 using the serum marker, prostate specific antigen (PSA) and multiple trans-rectal ultrasound (TRUS) guided needle biopsies of the prostate.5,6 The majority of these asymptomatic cancers appear confined to the prostate on clinical staging and are therefore amenable to cure through radical treatment.

Radical prostatectomy, whereby the prostate is completely removed surgically, remains the favoured curative treatment option for localised prostate cancer and has been demonstrated to improve disease-specific survival compared with watchful waiting, although this benefit takes 10 years to accrue.7

Open prostatectomy

Open radical prostatectomy involves the removal of the prostate gland together with the surrounding thin layers of connective tissue and is usually performed through a lower abdominal incision.8 During the operation care is taken to minimise blood loss and to preserve the normal continence mechanism and, when tumour characteristics allow, the nerves and arteries supplying the penile erectile tissue. Despite this approximately 15% of men require blood transfusion, 7% have long-term urinary incontinence and 40% suffer erectile dysfunction after surgery although surgeons who perform larger numbers of cases tend to have better results.9,10 These longer-term adverse effects reduce men's general level of well-being and surgeons have therefore sought ways to reduce the functional disturbance of the procedure but maintain its disease-curing potential.11

Laparascopic prostatectomy

Laparoscopic prostatectomy involves the insertion of five ports in the abdomen through which long, narrow instruments can be passed together with a camera. The ports are positioned ergonomically to enable the surgeon to dissect the prostate using the instruments with their handles located outside the body. Increasing experience with the technique has demonstrated that it does result in reduced blood loss compared with open prostatectomy but hoped for reduction in rates of erectile dysfunction and incontinence remains uncertain and is likely to depend on surgeon experience.1215

Robotic prostatectomy

The use of robotic technology allows the surgeon to control the surgical instruments from a console. Robotic prostatectomy involves the preliminary insertion of an umbilical camera port and three other ports for the instruments controlled by the four robotic arms. Additional ports are used for instruments operated by a human assistant and maintenance of pneumoperitoneum. The procedure is then carried out in an identical fashion to laparoscopic prostatectomy but with the surgeon remotely controlling the three or four slave manipulator arms whilst seated at a console which is usually, although not necessarily, sited adjacent to the patient in the operating room.16 Over recent years there has been a rapid expansion in the availability of the ‘da Vinci®’ robot to the NHS for radical prostatectomy.1719


The main advantage claimed for robotic prostatectomy is a reduction in the learning curve due to increased degrees of freedom of the robotic arms that hold the instruments.20 However, the impact of this has only been considered in one comparison,21 in which the authors found that the direct costs associated with robotic procedures decreased substantially once their learning curve of 50 cases had been surpassed. Although the impact of more rapid gaining of competency on outcomes may be small, the impact on operating times, and hence on procedural costs might be significant and contribute to lower procedure costs in higher volume centres.22,23 There is therefore a clear need to assess the relative clinical benefit and cost-effectiveness of laparoscopic and robotic prostatectomy in men with localised prostate cancer, including differential learning curve effects.

2. Aims and Objectives

The study aims to determine the clinical effectiveness and cost-effectiveness of robotic prostatectomy compared with laparoscopic prostatectomy in the treatment of patients with localised prostate cancer.

The specific objectives of the study are to:

  • Describe clinical care pathways for laparoscopic and robotic prostatectomy in a UK context;
  • Determine the clinical effectiveness and safety of each procedure;
  • Determine the influence of the learning curve on estimates of effectiveness and safety;
  • Perform a systematic review of existing economic evaluations of each procedure;
  • Determine which procedure is most likely to be cost-effective for implementation into the UK NHS; and
  • Identify future research needs.

3. Methods

3.1. Eligibility criteria

Types of study

We will consider evidence from randomised controlled trials (RCTs), non-randomised comparative studies and case series, the latter primarily for estimates of rare adverse events and longer-term effects. For estimating learning curve effects, information on the robotic or laparoscopic arms of comparative studies will be treated as case series. Systematic reviews of open prostatectomy will be considered in order to obtain evidence on the clinical effectiveness of open prostatectomy for the purposes of informing the economic model. We will include conference abstracts and non-English language reports of comparative studies only.

Types of participants

The types of participants considered will be men with localised prostate cancer, defined as cancer confined to the prostate gland and considered curable by radical removal of the prostate.

Types of interventions and comparators

The intervention considered will be robotic prostatectomy and the comparator laparoscopic prostatectomy. Open prostatectomy will also be considered as a comparator in studies comparing robotic prostatectomy with open prostatectomy, or laparoscopic prostatectomy with open prostatectomy, in order that such studies can be included in a mixed treatment comparison model assessing the relative effectiveness of robotic and laparoscopic prostatectomy.

Types of outcome measures

The following types of outcome measures will be considered:

  • Cancer related

    Rate of positive margin in resected specimen, according to consensus definition;24

    Biochemical (PSA) recurrence, defined as two successive PSA levels ≥ 0.4 ng/ml;25 and

    Disease free survival, defined as absence of clinically detectable disease.


  • Functional

    Recovery of sexual (penile erection) function, quantified by validated score (IIEF-5); and

    Urinary continence, defined as use of ≤ 1 thin pad per day and/or validated symptom score.

  • Adverse events


    Blood loss – quantified as transfusion rate;

    Conversion to open procedure;

    Delayed discharge; and


    Long term:

    Anastomotic stricture.

Two surgeons will categorise each complication using the Clavien–Dindo Classification of Surgical Complications (as detailed in Chapter 2, Table 3)26 with a third surgeon acting as arbitrar.

  • Procedural

    Learning curve;

    Equipment failure;

    Operative time;

    Hospital stay; and

    Duration of catheterisation.

  • Patient-driven

    Pain, quantified by validated pain score and analgesic requirements;

    Productivity (time to return to full activity); and

    Generic and disease-specific quality of life, measured through validated quality of life scores.

Exclusion criteria

The following types of report will be excluded:

  • Studies of men with metastatic disease;
  • Case series of open prostatectomy.

3.2. Search strategy

Comprehensive electronic searches will be conducted to identify reports of published studies. Highly sensitive search strategies will be designed, including appropriate subject headings and text word terms, interventions under consideration and included study designs. There will be no language restriction but searches will be restricted to years from 1995 onwards, reflecting the introduction of the techniques. Medline, Medline In Process, Embase, CINAHL, Biosis, Science Citation Index, Cochrane Controlled Trials Register (CENTRAL), Cochrane Database of Systematic Reviews (CDSR), Database of Abstracts of Review of Effects (DARE) and the HTA databases will be searched. Reference lists of all included studies will be scanned in order to identify additional potentially relevant reports. We will also ask our expert panels to provide details of any additional potentially relevant reports.

Conference abstracts for the years 2006 onwards from meetings of the European, American and British Urological Associations will be searched. Ongoing studies will be identified through searching Current Controlled Trials, Clinical Trials, NIHR Portfolio and WHO International Clinical Trials Registry. Websites of manufacturers, professional organisations, regulatory bodies and the HTA will be checked to identify unpublished reports.

3.3. Quality assessment

We will use a modified version of the Cochrane risk of bias tool27 which we have adapted to include potential topic-specific confounders, which were identified through discussions with members of our project advisory group and our knowledge of existing literature. The topic-specific confounders related to specific outcomes as shown in the modified risk of bias tool (see Appendix 4). Three sets of two reviewers will independently assess the risk of bias of included full text studies, with the exception of non-English publications and conference abstracts. Any differences in assessment or issues of uncertainty will be resolved by discussion and consensus. For the risk of bias tool individual outcomes will be scored as High risk of bias, Low risk of bias or Unclear. Any disagreements will be resolved by consensus or by a third party.

3.4. Data extraction

Three reviewers will independently screen titles and abstracts of all identified items. Full text copies of all potentially relevant reports will be obtained and independently assessed by two reviewers to determine whether they meet inclusion criteria. Three reviewers will independently extract details of study design, methods, participants, interventions and outcomes onto a data extraction form (see Appendix 3). Each reviewer's data extraction will be independently checked by a second reviewer for errors or inconsistencies. Any disagreements will be resolved through consensus or arbitration by a third party.

3.5. Data analysis

Data from each study will be tabulated and summarised for each procedure in a form appropriate for the mixed treatment comparison model. The lack of RCT evidence precludes undertaking a standard meta-analysis. Therefore we intend to adopt an indirect comparison (cross design) approach allowing inclusion of non-randomised comparative data and case series.28 Reasons for heterogeneity of effects will be explored, including differences in populations, studies, outcome assessment and learning curve effects. We will examine heterogeneity between and within different study designs using a Bayesian hierarchical random effects model enabling use of all available evidence.29

We will use a previously successful approach developed by members of our project team to estimate the learning effects on key outcomes.30 The expertise of the participating surgeons or centres in each included study will first be categorised by previous experience. Data on the three key features of learning, starting level, rate of learning and expert level, will then be extracted. A random effects meta-analysis will be performed to estimate the pooled effect of the key features together with an appropriate measure of uncertainty. These estimates will be used to determine the likely ‘shape’ of the learning curve and will be validated by our experienced and novice clinical experts. The pooled data will be used firstly to investigate heterogeneity of effects on the key outcomes in the systematic review of effectiveness and secondly to inform the economic modelling on the likely change over time on the key outcomes and patient mix. This approach will account for possible differences in an individual surgeon's learning curve for particular outcomes.

4. Cost-effectiveness

4.1. Systematic review of economic evaluations

Given that the results of any economic evaluation are particular to setting and time the main purpose of a review is to inform the modelling methodology and any parameter sources. This does not require a systematic review, but a review of key sources, i.e. those with a signal of high quality such as HTA reports. Therefore, there will be two reviews, a systematic one detailed below to identify the current status of the evidence on the technologies of interest and one of HTA reports, their citations and sources citing them looking at any technology for prostate cancer that uses modelling.

Search strategy

Highly sensitive search strategies will be designed to identify any economic evaluations where at least one of the technologies was laparoscopic or robotic surgery for prostate cancer. The following databases will be searched without language restriction for the years 1995 onwards: NHS EED, HTA Database, Medline, Medline In Process, Embase, Science Citation Index and Health Management Information Consortium (HMIC) database. Websites of HTA organisations will be consulted for additional reports. Reference lists of all included studies will be scanned and appropriate experts will be contacted for details of additional reports.

Quality assessment

Quality will be assessed according to the BMJ criteria, on which the NHS EED abstracts were largely based.31

Data extraction

Two reviewers will independently screen the titles and abstracts of all items identified by the search strategy. Full text copies of all potentially relevant reports will be obtained and assessed by two reviewers independently against the inclusion criteria. Any disagreements will be resolved by consensus or arbitration by a third person. Two reviewers will independently extract details of study design such as economic perspective and type of analysis, methods such as model structure and costing, population, technologies, and outcomes such as QALYs onto specific data extraction forms in line with the NHS EED abstracts.


Summaries of all studies will be tabulated. A brief critique according to model structure, paramaterisation and dealing with uncertainty will then be performed to identify methods that can be used together with limitations and recommendations for improvement that can be taken forward to the proposed model. Any sources of evidence of possible use in the proposed model will be recorded and reviewed by the research team.

4.2. Economic evaluation

Implications for the economic analysis

As no prior economic evaluation has been conducted from the perspective of the UK NHS we propose to construct a decision analytic model (DAM) comparing the cost-effectiveness of the two surgical techniques, which will make the best use of the evidence obtained from the systematic review32 A novel aspect of this work will be the emphasis on the learning curves for surgical procedures and economies of scale from changes in centre volumes which are likely to drive differences in costs for the considered technologies, something that in a typical CEA as recommended by NICE33 might be ignored. These particular facets are likely to be instrumental in driving differences in costs for the considered technologies and therefore need to be accorded greater weight in the analysis. In addition to this the impact of capital costs (approximately £1.5 million) and maintenance costs (approximately £150,000/year) for robotic prostatectomy are likely to be significant, particularly in lower volume centres. Changes from the recommended standard procedure would take time to implement, and require more intensive re-training involving use of mentors which, although associated with a briefer learning curve,34 may have additional resource implications and therefore require consideration in the model.

Model structure

In order to incorporate the effect of disease progression and possible need for subsequent treatments for each patient undergoing laparoscopic or robotic prostatectomy, a state transition model will be used which estimates consequences for a cohort beginning treatment at the same time. However, in order to estimate effects due to the learning curves for laparoscopic and robotic techniques a multiple cohort analysis will be used.35,36 Such an approach, by allowing for changing numbers of patients eligible for surgery over time, also permits estimation of capital outlay as a function of demand, which was the approach used in a previous model.37 However, even if demand remains constant, it also allows availability of technology, which is a function of surgeon competence, to be expressed as a function of patient numbers. This also enables consideration of the most efficient number of treatment centres. A multiple cohort approach additionally allows for population heterogeneity in age; those who are eligible for treatment will vary by age38 requiring the introduction of one cohort per age band per year. Although the technologies will be assumed to have a finite lifetime decided by manufacturer and clinical expert opinion and tested in a sensitivity analysis, each individual cohort will be followed up for various periods including the duration of patient lifetime in order to account for consequences for that cohort.39

The design for the state transition model* used for each cohort was informed by expert opinion and published models of the progression of prostate cancer.4042 Patient eligibility is defined according to:

  1. Male.
  2. Cancer localised to prostate

These criteria, including age will thus define an initial pre-operative state. A patient will then undergo one of the procedures whereby a set of short-term complications can occur according to corresponding probabilities each of which are assumed to be resolved within a the cycle time of 3 months. Micro-simulation43 will be used to analyse the model whereby an individual follows a random path over a lifetime using Monte Carlo Simulation (MCS). This reduces the need to define a separate health state of each of the set of criteria used to define a health state, e.g. presence or absence of each complication. Therefore, subsequent health states will be defined according to the following set of state variables:

  1. Age
  2. Margin (positive or negative)
  3. Postoperative Gleason score (high or low)
  4. Recurrence (none, local, systemic)
  5. Erectile dysfunction (present or not)
  6. Urinary incontinence (present or not)

Therefore transition probabilities (probability of moving to some health state in 3 months given current health state) will be defined according to the status of each of the state variables. For example, mortality rate increases with age and type of recurrence. Also, as can be seen in the care pathway, further treatments also depend on state variables so that, for example, the presence of urinary incontinence implies treatment for this condition. Postoperative evaluation of the surrounding tissue may lead to further treatment conditional on determining a positive or negative margin (Fig. 2). Where tissue margins are observed to be positive, then Gleason scores are used to identify an appropriate treatment within the pathway. Patients with high Gleason scores are immediately referred for further cancer treatment, whereas patients exhibiting low Gleason scores are monitored for Biochemical recurrence. Should biochemical recurrence be observed, patients may then devolve to additional treatment for cancer, otherwise surveillance will continue. Patients with a negative margin will be referred for surveillance with the possibility of further cancer treatment if necessary.

Pathways for treatments available to patients with prostate cancer are described in Figure 3. The treatment of localised cancers devolves into curative or palliative sub-pathways. Each sub-pathway may then lead to dysfunctions associated with the underlying condition and treatment. Ultimately, patients will reach a state of resolution or death. In the case of resolution of cancer, patients may then still be treated for the presence of one or more dysfunctions (Fig. 45). Patients may suffer from one or more dysfunctions simultaneously. In either case, interventions strategies may vary according to the severity of dysfunction. Ultimately, a patient may recover or reach a persistent state.

The economic perspective will be that of the United Kingdom National Health Service and discounting in the base case will be at 3.5%.33 All modelling will pay attention to best practice44 and guidance from the project expert advisory group. The model will be constructed in two software packages according to best practice44 in C for speed and flexibility and TreeAge for presentation including any sensitivity analysis on demand.


Given the variation in costs due to learning and requirement for capital expenditure, it is essential to estimate the independent effect of staffing, equipment and overheads. As described above, some costs will be incurred as each patient progresses through the care pathway and thus would count as variable (with demand). However, a machine (and any additional building space) must be purchased regardless of numbers to be treated at least beyond the capacity of any existing machine. Therefore such a cost is fixed at least in the short term. The most appropriate sources will be used for each of these, such as expert opinion to determine appropriate staff mix, the systematic review to estimate operation times and length of stay as a function of technology, and purchase/maintenance costs from manufacturers and local users and their finance departments. Unit costs will be taken from appropriate routine sources for staffing,45 British National Formulary for drugs, and from equipment manufacturers. Variability in parameters will be tested by one-way sensitivity analyses.


A cost utility analysis (CUA) will be performed with outcomes estimated in quality-adjusted life years (QALYs).46 Each health state of the state transition model will require a utility estimated using the best available data, ideally derived using EQ-5D.4750 If necessary, plausible assumptions will be made in order to use utility values derived from different patient population (e.g. using an additive model to combine the effects of disease progression and adverse events in one age group to estimate the effect in a different age group).


Two main items of epidemiological data are required for the economic model: one at the individual level to estimate the transition probabilities of the state transition model and another at the population level for the incidence of eligible patients. The former will be based on data from the systematic review and include any effect of surgeon experience/learning. The latter will be informed by incidence data and any likely trends informed by expert opinion. Each parameter will correspond to transitions between states in the model, such as from first treatment to remission.


Deterministic sensitivity analyses will be carried out to test for the effect of assumptions and variability.51 Costs and QALYs will be estimated as the expectation over the joint distribution of the parameters, informed from the systematic review, other sampling distributions or expert opinion according to best practice. Any correlations, informed where possible by the systematic review, will be incorporated. A probabilistic sensitivity analysis will also be undertaken allowing presentation of results in a series of cost-effectiveness acceptability curves (CEAC) and the construction of the cost-effectiveness acceptability frontier (CEAF) for various threshold values of the willingness to pay (WTP) for a QALY.52

Identification of future research needs

A value of information analysis53 will be conducted to identify the expected value of perfect information (EVPI) over the expected lifetime of the considered procedures and the value of further research to identify more precise and reliable estimates of parameters used in the model.

5. Timescale

Start of project: 1st March 2010

Develop protocol and data extraction form: March – April 2010

Run search strategies: April 2010

Assess studies for inclusion: April – June 2010

First expert panel meeting: May 2010

Data extraction and quality assessment: July – September 2010

First progress report: 10 October 2010

Data analysis: October – December 2010

Second expert panel meeting: February 2011

Economic modelling: May 2010 – March 2011

Second progress report: February 2011

Report writing: January – April 2011

Report submission: 16th May 2011

6. References

Westlake S. Cancer incidence and mortality in the United Kingdom and constituent countries, 2003–05. Health Statistics Quarterly 40. [document on the Internet]. London: Office for National Statistics; 2008. [March 2009]. URL: http://www​.statistics​​/HSQ40CancerUK2003-05.pdf. [PubMed: 19093643]
UK Prostate cancer incidence statistics [website on the Internet]. London: Cancer Research UK; 2008. [March 2009]. URL: http://info​.cancerresearchuk​.org/cancerstats​/types/prostate/incidence/
Chamberlain J, Melia J, Moss S, Brown J. The diagnosis, management, treatment and costs of prostate cancer in England and Wales. Health Technol Assess. 2001;1(3) [PubMed: 9414542]
Prescription Cost Analysis 2007 [webpage on the Internet]. NHS Information Centre; 2008. [March 2009]. URL: http://www​​/statistics-and-data-collections​/primary-care​/prescriptions/prescription-cost-analysis-2007.
Prostate cancer: diagnosis and treatment; full guidance. CG58 [document on the Internet]. London: National Insititute for Health and Clinical Excellence; 2008. [March 2009]. URL: http://www​​/nicemedia/pdf/CG58FullGuideline.pdf.
Bosanquet N, Sikora K. The economics of cancer care in the UK. Lancet Oncology. 2004;5:568–74. [PubMed: 15337487]
Bill-Axelson A, Holmberg L, Ruutu M, Haggman M, Andersson SO, Bratell S, et al. Radical prostatectomy versus watchful waiting in early prostate cancer. N Engl J Med. 2005;352:1977–84. [PubMed: 15888698]
Bott SR, Birtle AJ, Taylor CJ, Kirby RS. Prostate cancer management: (1) an update on localised disease. Postgrad Med J. 2003;79:575–80. [PMC free article: PMC1742848] [PubMed: 14612600]
Bhatnagar V, Kaplan RM. Treatment options for prostate cancer: evaluating the evidence. Am Fam Physician. 2005;71:1915–22. [PubMed: 15926407]
Vickers AJ, Bianco FJ, Serio AM, Eastham JA, Schrag D, Klein EA, et al. The surgical learning curve for prostate cancer control after radical prostatectomy. J Natl Cancer Inst. 2007;99:1171–7. [PubMed: 17652279]
Wei JT, Dunn RL, Sandler HM, McLaughlin PW, Montie JE, Litwin MS, et al. Comprehensive comparison of health-related quality of life after contemporary therapies for localized prostate cancer. J Clin Oncol. 2002;20:557–66. [PubMed: 11786586]
Eden CG. Minimal access prostatectomy: how is it shaping up? BJU Int. 2008;101:791–2. [PubMed: 18241250]
Herkommer K, Fuchs TA, Hautmann RE, Volkmer BG. [Radical prostatectomy for men aged <56 years with prostate cancer. Cost of illness analysis]. Urologe. 44:1183–4. (Ausg 1185;A) [PubMed: 16021411]
Menon M, Tewari A, Baize B, Guillonneau B, Vallancien G. Prospective comparison of radical retropubic prostatectomy and robot-assisted anatomic prostatectomy: the Vattikuti Urology Institute experience. Urology. 2002;60:864–8. [PubMed: 12429317]
Tooher R, Swindle P, Woo H, Miller J, Maddern G. Laparoscopic radical prostatectomy for localized prostate cancer: a systematic review of comparative studies. J Urol. 2006;175:2011–7. [PubMed: 16697787]
Smith JA Jr., Herrell SD. Robotic-assisted laparoscopic prostatectomy: do minimally invasive approaches offer significant advantages? J Clin Oncol. 2005;23:8170–5. [PubMed: 16278469]
Goldstraw MA, Patil K, Anderson C, Dasgupta P, Kirby RS. A selected review and personal experience with robotic prostatectomy: implications for adoption of this new technology in the United Kingdom. Prostate Cancer Prostat Dis. 2007;10:242–9. [PubMed: 17519927]
Kaul SA, Peabody JO, Shah N, Neal D, Menon M. Establishing a robotic prostatectomy programme: The impact of mentoring using a structured approach. BJU Int. 2006;97:1143–4. [PubMed: 16686699]
Mayer EK, Winkler MH, Aggarwal R, Karim O, Ogden C, Hrouda D, et al. Robotic prostatectomy: the first UK experience. MRCAS. 2006;2:321–8. [PubMed: 17520650]
Rozet F, Harmon J, Cathelineau X, Barret E, Vallancien G. Robot-assisted versus pure laparoscopic radical prostatectomy. World J Urol. 2006;24:171–9. [PubMed: 16544167]
Burgess SV, Atug F, Castle EP, Davis R, Thomas R. Cost analysis of radical retropubic, perineal, and robotic prostatectomy. J Endourol. 2006;20:827–30. [PubMed: 17094763]
Ellison LM, Heaney JA, Birkmeyer JD. The effect of hospital volume on mortality and resource use after radical prostatectomy. J Urol. 2000;163:867–9. [PubMed: 10687994]
Ramirez A, Benayoun S, Briganti A, Chun J, Perrotte P, Kattan MW, et al. High radical prostatectomy surgical volume is related to lower radical prostatectomy total hospital charges. Eur Urol. 2006;50:58–62. [PubMed: 16626858]
Epstein JI, Amin M, Boccon-Gibod L, Egevad L, Humphrey PA, Mikuz G, et al. Prognostic factors and reporting of prostate carcinoma in radical prostatectomy and pelvic lymphadenectomy specimens. Scand J Urol Nephrol Suppl. 2005;216:34–63. [PubMed: 16019758]
Stephenson AJ, Kattan MW, Eastham JA, Dotan ZA, Bianco FJ Jr, Lilja H, et al. Defining biochemical recurrence of prostate cancer after radical prostatectomy: a proposal for a standardized definition. J Clin Oncol. 2006;24:3973–8. [PubMed: 16921049]
Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13. [PMC free article: PMC1360123] [PubMed: 15273542]
Higgins JP, Green S. The Cochrane Collaboration. Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1 [document on the Internet]. 2008. [March 2009]. URL: http://www​
Sutton AJ, Abrams KR. Bayesian methods in meta-analysis and evidence synthesis. Stat Methods Med Res. 2001;10:277–303. [PubMed: 11491414]
Prevost TC, Abrams KR, Jones DR. Hierarchical models in generalized synthesis of evidence: an example based on studies of breast cancer screening. Stat Med. 2000;19:3359–76. [PubMed: 11122501]
Cook JA, Ramsay CR, Fayers P. Using the literature to quantify the learning curve: a case study. Int J Technol Assess Health Care. 2007;23:255–60. [PubMed: 17493312]
Drummond MF, Jefferson TO. Guidelines for authors and peer reviewers of economic submissions to the BMJ. The BMJ Economic Evaluation Working Party. BMJ. 1996;313:275–83. [PMC free article: PMC2351717] [PubMed: 8704542]
Spiegelhalter DJ, Best NG. Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling. Stat Med. 2003;22:3687–709. [PubMed: 14652869]
National Institute for Health and Clinical Excellence. Guide to the methods of technology appraisal [document on the Internet]. London: NICE; 2008. [April 2009]. URL: http://www​​/media/B52/A7/TAMethodsGuideUpdatedJune2008.pdf.
Fabrizio MD, Tuerk I, Schellhammer PF. Laparoscopic radical prostatectomy: decreasing the learning curve using a mentor initiated approach. J Urol. 2003;169:2063–5. [PubMed: 12771720]
Goldman L, Gaspoz JM. Cost-effectiveness of clopidogrel: seeing through the smoke. Med Decis Making. 2008;28:803–9. [PubMed: 18556636]
Lourenco T, Armstrong N, Nabi G, Deverill M, Pickard R, Vale L, et al. Systematic review and economic modelling of effectiveness and cost utility of surgical treatments for men with benign prostatic enlargement (BPE) Health Technol Assess. 2008;12(35) [PubMed: 19032882]
Armstrong N, Vale L, Deverill M, Nabi G, McClinton S, N'Dow J, et al. Surgical treatments for men with benign prostatic enlargement: cost effectiveness study. Br Med J. 2009;338:1187–90. [PMC free article: PMC2669854] [PubMed: 19372131]
Cancer statistics registration. Registration of cancer diagnosis in 2006, England. [document on the Internet]. London: Office for National Statistics; 2008. [March 2009]. URL: http://www​.statistics​​/MB1-37/MB1_37_2006.pdf.
Karnon J, Brennan A, Akehurst R. A critique and impact analysis of decision modeling assumptions. Med Decis Making. 2007;27:491–9. [PubMed: 17761961]
Alibhai SM, Naglie G, Nam R, Trachtenberg J, Krahn MD. Do older men benefit from curative therapy of localized prostate cancer? J Clin Oncol. 2003;21:3318–27. [PubMed: 12947068]
Calvert NW, Morgan AB, Catto JW, Hamdy FC, Akehurst RL, Mouncey P, et al. Effectiveness and cost-effectiveness of prognostic markers in prostate cancer. Br J Cancer. 2003;88:31–5. [PMC free article: PMC2376796] [PubMed: 12556955]
Svatek RS, Lee JJ, Roehrborn CG, Lippman SM, Lotan Y. The cost of prostate cancer chemoprevention: a decision analysis model. Cancer Epidemiol Biomarkers Prevent. 2006;15:1485–9. [PubMed: 16896037]
Karnon J, Brown J. Selecting a decision model for economic evaluation: a case study and review. Health Care Manag Sci. 1998;1:133–40. [PubMed: 10916592]
Philips Z, Ginnelly L, Sculpher M, Claxton K, Golder S, Riemsma R, et al. Review of guidelines for good practice in decision-analytic modelling in health technology assessment. Health Technol Assess. 2004;8(36) [PubMed: 15361314]
Curtis L. Unit costs of health and social care. University of Kent: Personal Social Services Research Unit; 2008.
Drummond MF, Sculpher M, Torrance GW, O'Brien BJ, Stoddart GL. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press; 1997.
Albertsen PC, Nease RF Jr., Potosky AL. Assessment of patient preferences among men with prostate cancer. J Urol. 1998;159:158–63. [PubMed: 9400461]
Dale W, Basu A, Elstein A, Meltzer D. Predicting utility ratings for joint health states from single health states in prostate cancer: empirical testing of 3 alternative theories. Med Decis Making. 2008;28:102–12. [PubMed: 18057188]
Krahn M, Ritvo P, Irvine J, Tomlinson G, Bremner KE, Bezjak A, et al. Patient and community preferences for outcomes in prostate cancer: implications for clinical policy. Med Care. 2003;41:153–64. [PubMed: 12544552]
Smith DS, Krygiel J, Nease RF Jr., Sumner W, Catalona WJ. Patient preferences for outcomes associated with surgical management of prostate cancer. J Urol. 2002;167:2117–22. [PubMed: 11956454]
Briggs AH. Handling uncertainty in cost-effectiveness models. Pharmacoeconomics. 2000;17:479–500. [PubMed: 10977389]
Briggs AH. Handling uncertainty in economic evaluations and presenting the results. In: McGuire M, Drummond AM, McGuire A, editors. Economic evaluation in health care: merging theory with practice. Oxford: Oxford University Press; 2001.
Claxton K. The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies. J Health Econ. 1999;18:341–64. [PubMed: 10537899]



[Please note that during consultation with the advisory group the modelling approach was changed to a discrete-event simulation model. Full details and rationale in Chapter 5, Introduction.]

Image ch1f2
Image ch1f3
Image ch1f4
Image ch2f1
© 2012, Crown Copyright.

Included under terms of UK Non-commercial Government License.

Bookshelf ID: NBK115697


  • PubReader
  • Print View
  • Cite this Page
  • PDF version of this title (3.3M)

Other titles in this collection

Related information

  • PMC
    PubMed Central citations
  • PubMed
    Links to PubMed

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...