Pildal J, Hróbjartsson A, Jørgensen K J, Hilden J, Altman D G, Gøtzsche P C
The Nordic Cochrane Centre, Rigshospitalet, DK.
Int J Epidemiol. 2007 Aug;36(4):847-57. doi: 10.1093/ije/dym087. Epub 2007 May 21.
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.
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.
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.
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.
Two-thirds of conclusions in favour of one of the interventions were no longer supported if only trials with adequate allocation concealment were included.
未报告充分分配隐藏的随机试验已被证明会高估实验性干预措施的益处。我们调查了排除此类试验后,从荟萃分析得出的结论的稳健性。
从《考科蓝图书馆》2003年第2期选取38篇综述的随机样本,并从2002年获取的PubMed中选取32篇其他综述。符合条件的综述呈现了随机对照试验荟萃分析的二元效应估计值,作为支持某一干预措施结论的首个具有统计学意义的结果。
我们评估了每项纳入的荟萃分析中试验的方法部分,以确定分配隐藏是否充分。我们采用作者的方法重复每项荟萃分析,但只纳入分配隐藏充分的试验。如果我们的结果无统计学意义,则将结论定义为不被支持。
70项荟萃分析中有34项包含隐藏情况不明或不充分的试验以及分配隐藏充分的试验。4项荟萃分析仅包含分配隐藏充分的试验,32项仅包含隐藏情况不明或不充分的试验。当仅纳入分配隐藏充分的试验时,70项结论中有48项(69%;95%置信区间:56 - 79%)失去支持。支持的丧失主要反映了检验效能的丧失(患者总数减少了49%),但也反映了点估计值向益处较小的效应的转变。
如果仅纳入分配隐藏充分的试验,三分之二支持某一干预措施的结论将不再成立。