University of Washington, Seattle, WA, USA.
Ann Intern Med. 2010 Sep 21;153(6):400-6. doi: 10.7326/0003-4819-153-6-201009210-00008.
The interest in being able to interpret and report results in clinical trials as being favorable is pervasive throughout health care research. This important source of bias needs to be recognized, and approaches need to be implemented to effectively address it. The prespecified primary analyses of the primary and secondary end points of a clinical trial should be clearly specified when disseminating results in press releases and journal publications. There should be a focus on these analyses when interpreting the results. A substantial risk for biased conclusions is produced by conducting exploratory analyses with an intention to establish that the benefit-to-risk profile of the experimental intervention is favorable, rather than to determine whether it is. In exploratory analyses, P values will be misleading when the actual sampling context is not presented to allow for proper interpretation, and the effect sizes of outcomes having particularly favorable estimates are probably overestimated because of "random high" bias. Performing exploratory analyses should be viewed as generating hypotheses that usually require reassessment in prospectively conducted confirmatory trials. Awareness of these issues will meaningfully improve our ability to be guided by substance, not hype, in making evidence-based decisions about medical care.
人们普遍希望能够解读临床试验结果并将其报告为有利,这种强烈的偏好存在于整个医疗保健研究领域。这种重要的偏倚来源需要被认识到,并采取措施来有效地解决它。在发布新闻稿和期刊出版物时,应明确规定临床试验的主要和次要终点的预设主要分析。在解释结果时,应重点关注这些分析。如果进行探索性分析的目的是为了确定实验干预的获益-风险比是有利的,而不是为了确定它是否有利,那么就会产生有偏结论的重大风险。在探索性分析中,如果没有提供实际的抽样背景以进行适当的解释,那么 P 值将具有误导性,并且由于“随机高”偏差,具有特别有利估计的结局的效应大小可能被高估。进行探索性分析应被视为产生假设,这些假设通常需要在前瞻性进行的确认性试验中重新评估。意识到这些问题将极大地提高我们的能力,使我们能够根据实质内容而不是炒作来做出基于证据的医疗决策。