Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
BMJ. 2013 Jul 12;347:f4313. doi: 10.1136/bmj.f4313.
To assess adjustment practices for primary outcomes of randomized controlled trials and their impact on the results.
Meta-epidemiologic study.
25 biomedical journals with the highest impact factor according to Journal Citation Reports 2009.
Randomized controlled trials published in print in 2009 that reported primary outcomes. The search yielded 684 eligible papers of randomized controlled trials, of which 200 were randomly selected.
Two researchers independently extracted data on study population, intervention, primary outcome, and the adjustment plan for primary outcomes. They also recorded the magnitude and statistical significance of the intervention effect with and without adjustments, and estimated whether adjustment made a difference in the level of nominal significance. They also compared the analysis plan for model adjustment in the published trial versus the trial protocol with information on the protocol collected from registries, design papers, and communication with all corresponding authors.
54% of the trials used stratified randomization, 96% presented baseline characteristics in the compared arms, and 46% also evaluated differences in baseline factors with statistical testing. Half of the trials performed adjusted analyses for the main outcome, as the sole analysis (29%) or along with unadjusted analyses (21%). Adjustment for stratification variables and for baseline variables was performed in 39% (42/108) and 42% (84/199) of the trials, respectively. Among 40 comparisons with both adjusted and unadjusted analyses, 43% had statistically significant effects, 40% had non-significant effects, and 18% had significant effects with only one of the two analyses, but not with the other. Information on analysis plan regarding model adjustment was available in 6% (9/162) of trial registry entries, 78% (21/27) of design papers, and 74% (40/54) of protocols obtained from authors. The analysis plan disagreed between the published trial and the registry, protocol, or design paper in 47% (28/60) of the studies.
There is large diversity on whether and how analyses of primary outcomes are adjusted in randomized controlled trials and these choices can sometimes change the nominal significance of the results. Registered protocols should explicitly specify adjustments plans for main outcomes and analysis should follow these plans.
评估随机对照试验主要结局的调整实践及其对结果的影响。
Meta 流行病学研究。
根据 2009 年期刊引文报告,25 种生物医学期刊具有最高影响因子。
2009 年印刷出版的报告主要结局的随机对照试验。检索得到 684 篇合格的随机对照试验论文,其中随机选择了 200 篇。
两位研究人员独立提取了研究人群、干预措施、主要结局以及主要结局调整计划的数据。他们还记录了调整前后干预效果的大小和统计学意义,并估计调整是否会影响名义显著性水平。他们还比较了发表试验与从注册处、设计文件和与所有对应作者的交流中收集的试验方案中关于模型调整的分析计划。
54%的试验采用分层随机化,96%的试验在比较组中报告了基线特征,46%的试验还评估了基线因素的差异统计学检验。一半的试验对主要结局进行了调整分析,作为唯一分析(29%)或与未调整分析(21%)一起进行。分别有 39%(42/108)和 42%(84/199)的试验对分层变量和基线变量进行了调整。在 40 项具有调整和未调整分析的比较中,43%的试验具有统计学显著效果,40%的试验具有非显著效果,只有 18%的试验仅有一种分析具有显著效果,而另一种分析则不具有显著效果。关于模型调整的分析计划信息在 6%(9/162)的试验注册条目、78%(21/27)的设计文件和 74%(40/54)的从作者获得的方案中可用。在 47%(28/60)的研究中,发表的试验与注册处、方案或设计文件之间的分析计划存在差异。
在随机对照试验中,是否以及如何调整主要结局分析存在很大差异,这些选择有时会改变结果的名义显著性。注册方案应明确规定主要结局的调整计划,分析应遵循这些计划。