作者
Gordon H Guyatt, Andrew D Oxman, Victor Montori, Gunn Vist, Regina Kunz, Jan Brozek, Pablo Alonso-Coello, Ben Djulbegovic, David Atkins, Yngve Falck-Ytter, John W Williams Jr, Joerg Meerpohl, Susan L Norris, Elie A Akl, Holger J Schünemann
发表日期
2011/12/1
期刊
Journal of clinical epidemiology
卷号
64
期号
12
页码范围
1277-1282
出版商
Pergamon
简介
In the GRADE approach, randomized trials start as high-quality evidence and observational studies as low-quality evidence, but both can be rated down if a body of evidence is associated with a high risk of publication bias. Even when individual studies included in best-evidence summaries have a low risk of bias, publication bias can result in substantial overestimates of effect. Authors should suspect publication bias when available evidence comes from a number of small studies, most of which have been commercially funded. A number of approaches based on examination of the pattern of data are available to help assess publication bias. The most popular of these is the funnel plot; all, however, have substantial limitations. Publication bias is likely frequent, and caution in the face of early results, particularly with small sample size and number of events, is warranted.
引用总数
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GH Guyatt, AD Oxman, V Montori, G Vist, R Kunz… - Journal of clinical epidemiology, 2011