
It has long been recognized that investigators frequently fail to report their research findings (Dickersin, 1990). Chalmers (1990) has suggested that this failure represents scientific misconduct since volunteers who consent to participate in research, and agencies that provide funding support for investigations, do so with the understanding that the work will make a contribution to knowledge. Clearly, knowledge that is not disseminated is not making a "contribution". This failure to publish is not only inappropriate scientific conduct, it also influences the information available for interpretation by the scientific community. Of course, if research is left randomly unpublished, there is less information available, but that information is unbiased. We now have solid evidence that failure to publish is not a random event; rather, publication is dramatically influenced by the direction and strength of research findings (Dickersin et al., 1987, 1992; Dickersin & Min, 1993; Easterbrook et al., 1991; Simes, 1986). This tendency of editors and reviewers to accept manuscripts submitted by investigators based on the strength and direction of the research findings is termed "publication bias". The problem has been under discussion for many years and has recently been studied directly in medicine and public health. This article will review the major evidence available regarding publication bias and will suggest measures for overcoming the problem.
Clinical Trials as Topic, Meta-Analysis as Topic, Confidence Intervals, Odds Ratio, Humans, Treatment Failure, Publication Bias
Clinical Trials as Topic, Meta-Analysis as Topic, Confidence Intervals, Odds Ratio, Humans, Treatment Failure, Publication Bias
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 215 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
