BMJ 1997;315:617-619 (13 September)

Editorials

Meta-analysis and the meta-epidemiology of clinical research

Meta-analysis is an important contribution to research and practice but it's not a panacea

This week's BMJ contains a pot-pourri of materials that deal with the research methodology of meta-analysis. Meta-analysis in clinical research is based on simple principles: systematically searching out, and, when possible, quantitatively combining the results of all studies that have addressed a similar research question. Given the information explosion in clinical research, the logic of basing research reviews on systematic searching and careful quantitative compilation of study results is incontrovertible. However, one aspect of meta-analysis as applied to randomised trials has always been controversial1 2 —combining data from multiple studies into single estimates of treatment effect.

In theory, aggregation of data from multiple trials should enhance the precision and accuracy of any pooled result. But combining data requires a leap of faith: it presumes that the differences among studies are primarily due to chance. In fact, differences in the direction or size of treatment effects may be caused by other factors, . . . [Full text of this article]

Publication bias
What is a negative trial?
Data excess
A magic method?

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Relevant Articles

Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta-epidemiological study
Lesley Wood, Matthias Egger, Lise Lotte Gluud, Kenneth F Schulz, Peter Jüni, Douglas G Altman, Christian Gluud, Richard M Martin, Anthony J G Wood, and Jonathan A C Sterne
BMJ 2008 336: 601-605. [Abstract] [Full Text] [PDF]

Test meta-analyses for stability
C David Naylor and George Davey Smith
BMJ 1998 317: 206. [Extract] [Full Text]

Meta-analysis and the meta-epidemiology of clinical research
Desmond Julian, Jacques Le Lorier, and Geneviève Grégoire
BMJ 1998 316: 311. [Extract] [Full Text]

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