Impact of allocation concealment on conclusions drawn from meta-analyses of randomized trials

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Abstract

Background: Randomized trials without reported adequate allocation concealment have been shown to overestimate the benefit of experimental interventions. We investigated the robustness of conclusions drawn from meta-analyses to exclusion of such trials. Material Random sample of 38 reviews from The Cochrane Library 2003, issue 2 and 32 other reviews from PubMed accessed in 2002. Eligible reviews presented a binary effect estimate from a meta-analysis of randomized controlled trials as the first statistically significant result that supported a conclusion in favour of one of the interventions. Methods: We assessed the methods sections of the trials in each included meta-analysis for adequacy of allocation concealment. We replicated each meta-analysis using the authors' methods but included only trials that had adequate allocation concealment. Conclusions were defined as not supported if our result was not statistically significant. Results: Thirty-four of the 70 meta-analyses contained a mixture of trials with unclear or inadequate concealment as well as trials with adequate allocation concealment. Four meta-analyses only contained trials with adequate concealment, and 32, only trials with unclear or inadequate concealment. When only trials with adequate concealment were included, 48 of 70 conclusions (69% 95% confidence interval: 56-79%) lost support. The loss of support mainly reflected loss of power (the total number of patients was reduced by 49%) but also a shift in the point estimate towards a less beneficial effect. Conclusion: Two-thirds of conclusions in favour of one of the interventions were no longer supported if only trials with adequate allocation concealment were included. © The Author 2007; all rights reserved.

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Pildal, J., Hróbjartsson, A., Jörgensen, K. J., Hilden, J., Altman, D. G., & Gøtzsche, P. C. (2007). Impact of allocation concealment on conclusions drawn from meta-analyses of randomized trials. International Journal of Epidemiology, 36(4), 847–857. https://doi.org/10.1093/ije/dym087

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