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Capture-recapture is a potentially useful method for assessing publication bias
Derrick A Bennett1, Nancy K Latham, Caroline Stretton
1The Clinical Trials Research Unit, 3 Ferncroft Street, Grafton, Faculty of Medicine and Health Sciences, Private Bag 92019, University of Auckland, New Zealand. d.bennett@ctru.auckland.ac.nz
Journal of Clinical Epidemiology
|May 12, 2004
Summary
Publication bias affects systematic reviews. This study assessed its impact on Progressive Resistance Training (PRT) for older adults, finding methods like capture-recapture useful for evaluation.
Area of Science:
- Gerontology
- Exercise Science
- Biostatistics
Background:
- Publication bias is a significant concern in systematic reviews of randomized controlled trials.
- It can distort the perceived effectiveness of interventions, particularly in fields like exercise science.
- Assessing publication bias is crucial for the reliability of systematic review conclusions.
Purpose of the Study:
- To evaluate the influence of publication bias on a systematic review examining Progressive Resistance Training (PRT) effectiveness in older adults.
- To compare different methods for detecting and adjusting for publication bias in this context.
Main Methods:
- Systematic review methodology was employed, identifying studies through electronic databases, expert consultation, and handsearching.
- Methods used to assess publication bias included capture-recapture, funnel plot inspection, Egger's regression test, Trim and Fill, and a selection model.
- These techniques were applied to evaluate the robustness of findings regarding PRT's effectiveness in older populations.
Main Results:
- Multiple methods indicated the presence of publication bias.
- Capture-recapture suggested 3 missed studies, while Trim and Fill estimated 16 missed studies.
- Egger's test and funnel plot regression confirmed bias, though a selection model suggested asymmetry might not solely stem from publication bias.
Conclusions:
- The capture-recapture method shows promise for assessing publication bias in systematic reviews.
- Further simulation studies are needed to validate the accuracy of various bias detection methods across different scenarios.
- Consistent results across methods enhance confidence in the assessment of publication bias.