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PUBLICATION BIAS AND META-ANALYSES

A Practical Example

Published online by Cambridge University Press:  22 January 2003

Sarah Burdett
Affiliation:
Medical Research Council Clinical Trials Unit
Lesley A. Stewart
Affiliation:
Medical Research Council Clinical Trials Unit
Jayne F. Tierney
Affiliation:
Medical Research Council Clinical Trials Unit

Abstract

Objectives: Publication bias is widely appreciated, but considerable time and effort are needed to locate and obtain data from unpublished randomized controlled trials (RCTs), those published in non-English language journals or those reported in the gray literature; for this publication, we will call this collection of trials the “gray+ literature.” However, excluding such trials from systematic reviews could introduce bias and give rise to misleading conclusions.

Methods: We aimed to explore and quantify the impact of inclusion of gray+ literature on the results of all completed individual patient data (IPD) reviews coordinated by our group (13 meta-analyses). For each IPD review, results were calculated for RCTs fully published in English language journals and RCTs fully published in English language journals and the gray+ literature.

Results: The IPD meta-analyses based only on RCTs that were fully published in English language journals tended to give more favorable results than those that included RCTs from the gray+ literature. Although in most cases the addition of gray+ data gave less encouraging results, moving the estimated treatment effect toward a null result, the direction of effect was not always predictable.

Conclusions: We recommend that all systematic reviews should at least attempt to identify trials reported in the gray+thinsp;literature and, where possible, obtain data from them.

Type
GENERAL ESSAYS
Copyright
© 2003 Cambridge University Press

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