Res Synth Methods - Evidence-based sample size estimation based upon an updated meta-regression analysis.

Tópicos

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Resumo

A traditional meta-analysis examines the overall effectiveness of an intervention by producing a pooled estimate of treatment efficacy. In contrast to this, a meta-regression model seeks to determine whether a study-level covariate (X) is a plausible source of heterogeneity in a set of treatment effects. Upon performing such an analysis, the results may suggest the presence of a meaningful amount of variation in the treatment effects because of the covariate; however, the current set of trials may not provide sufficient statistical power for such a conclusion. The proposed approach provides quantitative insight into the amount of support that a new trial may provide to the hypothesis that X is a meaningful source of variation in an updated meta-regression model, which includes both the previously completed and the proposed trial. This empirical algorithm allows examination of the potential feasibility of a planned study of various sizes to further support or refute the hypothesis that X is a statistically significant source of variation. A detailed example illustrates the sample size estimation algorithm for both a planned individually or cluster randomized trial to investigate the now commonly accepted impact of geographical latitude on the observed effectiveness of the Bacillus Calmette-Gu?rin vaccine in the prevention of tuberculosis. Copyright ? 2012 John Wiley & Sons, Ltd.

Resumo Limpo

tradit metaanalysi examin overal effect intervent produc pool estim treatment efficaci contrast metaregress model seek determin whether studylevel covari x plausibl sourc heterogen set treatment effect upon perform analysi result may suggest presenc meaning amount variat treatment effect covari howev current set trial may provid suffici statist power conclus propos approach provid quantit insight amount support new trial may provid hypothesi x meaning sourc variat updat metaregress model includ previous complet propos trial empir algorithm allow examin potenti feasibl plan studi various size support refut hypothesi x statist signific sourc variat detail exampl illustr sampl size estim algorithm plan individu cluster random trial investig now common accept impact geograph latitud observ effect bacillus calmettegurin vaccin prevent tuberculosi copyright john wiley son ltd

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