Chan An-Wen, Altman Douglas G
University Health Network, Department of Medicine, Suite RFE 3-805, 190 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
BMJ. 2005 Apr 2;330(7494):753. doi: 10.1136/bmj.38356.424606.8F. Epub 2005 Jan 28.
To examine the extent and nature of outcome reporting bias in a broad cohort of published randomised trials.
Retrospective review of publications and follow up survey of authors. Cohort All journal articles of randomised trials indexed in PubMed whose primary publication appeared in December 2000.
Prevalence of incompletely reported outcomes per trial; reasons for not reporting outcomes; association between completeness of reporting and statistical significance.
519 trials with 553 publications and 10,557 outcomes were identified. Survey responders (response rate 69%) provided information on unreported outcomes but were often unreliable--for 32% of those who denied the existence of such outcomes there was evidence to the contrary in their publications. On average, over 20% of the outcomes measured in a parallel group trial were incompletely reported. Within a trial, such outcomes had a higher odds of being statistically non-significant compared with fully reported outcomes (odds ratio 2.0 (95% confidence interval 1.6 to 2.7) for efficacy outcomes; 1.9 (1.1 to 3.5) for harm outcomes). The most commonly reported reasons for omitting efficacy outcomes included space constraints, lack of clinical importance, and lack of statistical significance.
Incomplete reporting of outcomes within published articles of randomised trials is common and is associated with statistical non-significance. The medical literature therefore represents a selective and biased subset of study outcomes, and trial protocols should be made publicly available.
探讨已发表的随机试验广泛队列中结果报告偏倚的程度和性质。
对出版物进行回顾性审查,并对作者进行随访调查。队列:2000年12月首次发表的PubMed索引的随机试验的所有期刊文章。
每项试验未完全报告结果的发生率;未报告结果的原因;报告完整性与统计学显著性之间的关联。
共识别出519项试验,553篇出版物,10557个结果。调查回复者(回复率69%)提供了未报告结果的信息,但往往不可靠——对于32%否认存在此类结果的人,其出版物中有相反的证据。在平行组试验中,平均超过20%的测量结果未得到完整报告。在一项试验中,与完整报告的结果相比,这些结果在统计学上无显著性的可能性更高(疗效结果的优势比为2.0(95%置信区间1.6至2.7);危害结果的优势比为1.9(1.1至3.5))。报告中最常提及的遗漏疗效结果的原因包括篇幅限制、缺乏临床重要性和缺乏统计学显著性。
随机试验已发表文章中结果报告不完整的情况很常见,且与统计学无显著性相关。因此,医学文献代表了研究结果的一个有选择性的、有偏倚的子集,试验方案应公开。