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发表偏倚:一个挥之不去的问题。

Publication bias: the problem that won't go away.

作者信息

Dickersin K, Min Y I

机构信息

Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, MD 21201.

出版信息

Ann N Y Acad Sci. 1993 Dec 31;703:135-46; discussion 146-8. doi: 10.1111/j.1749-6632.1993.tb26343.x.

Abstract

Conclusions about the efficacy and safety of medical interventions are based on data presented in the scientific literature. The validity of these conclusions is threatened if publication bias results from investigators or editors making decisions about publishing study results on the basis of the direction or strength of the study findings. This paper reports meta-analyses performed using data from four prospective investigations in which a total of 997 initiated studies were followed to learn of study results, publication status, and reasons for nonpublication. The analysis indicates that there is a positive association between "significant" study results and publication (OR = 2.88; 95% confidence interval [CI] 2.13 to 3.90). When the analysis was restricted to controlled trials (n = 280), an even stronger relationship between "significant" results and publication was observed (OR = 6.15; 95% CI 2.24 to 16.92), with randomized trials (n = 200) apparently no less susceptible to publication bias than controlled trials in general (OR = 8.72; 95% CI 1.91 to 39.81). In every case, failure to publish was investigator-based, and not due to editorial decisions. The results of clinical trials should not be suppressed in this way. Development of registration systems for randomized trials is essential if this problem is to be minimized in future.

摘要

关于医学干预措施有效性和安全性的结论是基于科学文献中所呈现的数据。如果研究者或编辑根据研究结果的方向或强度来决定是否发表研究成果,从而导致发表偏倚,那么这些结论的有效性就会受到威胁。本文报告了利用四项前瞻性调查的数据进行的荟萃分析,在这些调查中,总共对997项启动的研究进行了跟踪,以了解研究结果、发表状态及未发表的原因。分析表明,“显著”的研究结果与发表之间存在正相关(比值比[OR]=2.88;95%置信区间[CI]为2.13至3.90)。当分析仅限于对照试验(n=280)时,观察到“显著”结果与发表之间存在更强的关系(OR=6.15;95%CI为2.24至16.92),而随机试验(n=200)显然与一般对照试验一样容易受到发表偏倚的影响(OR=8.72;95%CI为1.91至39.81)。在每种情况下,未发表都是基于研究者的原因,而非编辑的决定。临床试验结果不应以这种方式被压制。如果要在未来将这个问题最小化,那么开发随机试验注册系统至关重要。

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