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已发表的临床试验方案中统计分析方法的预先指定不充分。

Pre-specification of statistical analysis approaches in published clinical trial protocols was inadequate.

机构信息

Pragmatic Clinical Trials Unit, Queen Mary University of London, UK.

Department of Medicine, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.

出版信息

J Clin Epidemiol. 2018 Sep;101:53-60. doi: 10.1016/j.jclinepi.2018.05.023. Epub 2018 Jun 2.

Abstract

OBJECTIVES

Results from randomized trials can depend on the statistical analysis approach used. It is important to prespecify the analysis approach in the trial protocol to avoid selective reporting of analyses based on those which provide the most favourable results. We undertook a review of published trial protocols to assess how often the statistical analysis of the primary outcome was adequately prespecified.

METHODS

We searched protocols of randomized trials indexed in PubMed in November 2016. We identified whether the following aspects of the statistical analysis approach for the primary outcome were adequately prespecified: (1) analysis population; (2) analysis model; (3) use of covariates; and (4) method of handling missing data.

RESULTS

We identified 99 eligible protocols. Very few protocols adequately prespecified the analysis population (8/99, 8%), analysis model (27/99, 27%), covariates (40/99, 40%), or approach to handling missing data (10/99, 10%). Most protocols did not adequately predefine any of these four aspects of their statistical analysis approach (39%) or predefined only one aspect (36%). No protocols adequately predefined all four aspects of the analysis.

CONCLUSION

The statistical analysis approach is rarely prespecified in published trial protocols. This may allow selective reporting of results based on different analyses.

摘要

目的

随机试验的结果可能取决于所采用的统计分析方法。在试验方案中预先规定分析方法非常重要,以避免根据那些提供最有利结果的分析进行选择性报告。我们对已发表的试验方案进行了审查,以评估主要结局的统计分析预先规定的频率。

方法

我们于 2016 年 11 月在 PubMed 中搜索了索引的随机试验方案。我们确定了主要结局的统计分析方法的以下方面是否得到了充分预先规定:(1)分析人群;(2)分析模型;(3)协变量的使用;(4)处理缺失数据的方法。

结果

我们确定了 99 项符合条件的方案。很少有方案充分规定了分析人群(8/99,8%)、分析模型(27/99,27%)、协变量(40/99,40%)或缺失数据处理方法(10/99,10%)。大多数方案没有预先规定这些分析方法的四个方面中的任何一个(39%),或者只预先规定了一个方面(36%)。没有方案充分预先规定分析的所有四个方面。

结论

在已发表的试验方案中,统计分析方法很少预先规定。这可能允许根据不同的分析选择性地报告结果。

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