Literature DB >> 8192291

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

K Dickersin1, Y I Min.   

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.

Mesh:

Year:  1993        PMID: 8192291     DOI: 10.1111/j.1749-6632.1993.tb26343.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  62 in total

1.  Conflict of interest and medical publication.

Authors:  Marcus M Reidenberg
Journal:  Sci Eng Ethics       Date:  2002-07       Impact factor: 3.525

2.  Evaluation of intraventricular hemorrhage in pediatric intracerebral hemorrhage.

Authors:  Jonathan T Kleinman; Lauren A Beslow; Kyle Engelmann; Sabrina E Smith; Daniel J Licht; Rebecca N Ichord; Lori C Jordan
Journal:  J Child Neurol       Date:  2011-11-08       Impact factor: 1.987

Review 3.  Assessment of publication bias in meta-analyses of cardiovascular diseases.

Authors:  Silvia Palma; Miguel Delgado-Rodriguez
Journal:  J Epidemiol Community Health       Date:  2005-10       Impact factor: 3.710

4.  The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey.

Authors:  John P A Ioannidis; Thomas A Trikalinos
Journal:  CMAJ       Date:  2007-04-10       Impact factor: 8.262

5.  Interpreting results of clinical trials: a conceptual framework.

Authors:  Ajay K Singh; Ken Kelley; Rajiv Agarwal
Journal:  Clin J Am Soc Nephrol       Date:  2008-09       Impact factor: 8.237

6.  From podium to press: The 10-year publication rate of abstracts presented at the annual meetings of the Quebec Urological Association (QUA).

Authors:  Talal M Al-Qaoud; Faysal A Yafi; Armen G Aprikian
Journal:  Can Urol Assoc J       Date:  2013 May-Jun       Impact factor: 1.862

7.  Evaluation of the potential excess of statistically significant findings in published genetic association studies: application to Alzheimer's disease.

Authors:  Fotini K Kavvoura; Matthew B McQueen; Muin J Khoury; Rudolph E Tanzi; Lars Bertram; John P A Ioannidis
Journal:  Am J Epidemiol       Date:  2008-09-08       Impact factor: 4.897

Review 8.  Searching for the evidence in pre-hospital care: a review of randomised controlled trials. On behalf of the Ambulance Response Time Sub-Group of the National Ambulance Advisory Committee.

Authors:  H Brazier; A W Murphy; C Lynch; G Bury
Journal:  J Accid Emerg Med       Date:  1999-01

9.  Meta-analysis of linkage data under worst-case conditions: a demonstration using the human OB region.

Authors:  D B Allison; M Heo
Journal:  Genetics       Date:  1998-02       Impact factor: 4.562

10.  Who needs evidence-based health care?

Authors:  J Tsafrir; M Grinberg
Journal:  Bull Med Libr Assoc       Date:  1998-01
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