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GRADE guidelines: 5. Rating the quality of evidence - Publication bias

  • 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
  • , Joerg Meerpohl
  • , Susan L. Norris
  • , Elie A. Akl
  • , Holger J. Schünemann
  • McMaster University
  • Norwegian Institute of Public Health
  • Mayo Clinic Rochester, MN
  • University of Basel
  • Autonomous University of Barcelona
  • University of South Florida
  • Moffitt Cancer Center
  • Department of Veterans Affairs
  • Case Western Reserve University
  • Duke University
  • University of Freiburg
  • Oregon Health and Science University
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

1547 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1277-1282
Number of pages6
JournalJournal of Clinical Epidemiology
Volume64
Issue number12
DOIs
StatePublished - Dec 2011

Keywords

  • Conflict of interest
  • Funnel plot
  • GRADE
  • Pharmaceutical industry
  • Publication bias
  • Quality of evidence

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