Identifying Outcome Reporting Bias in Randomised Trials on PubMed: Review of Publications and Survey of Authors

BMJ. 2005 Apr 2;330(7494):753. doi: 10.1136/bmj.38356.424606.8F. Epub 2005 Jan 28.

Abstract

Objective: To examine the extent and nature of outcome reporting bias in a broad cohort of published randomised trials.

Design: Retrospective review of publications and follow up survey of authors. Cohort All journal articles of randomised trials indexed in PubMed whose primary publication appeared in December 2000.

Main outcome measures: Prevalence of incompletely reported outcomes per trial; reasons for not reporting outcomes; association between completeness of reporting and statistical significance.

Results: 519 trials with 553 publications and 10,557 outcomes were identified. Survey responders (response rate 69%) provided information on unreported outcomes but were often unreliable--for 32% of those who denied the existence of such outcomes there was evidence to the contrary in their publications. On average, over 20% of the outcomes measured in a parallel group trial were incompletely reported. Within a trial, such outcomes had a higher odds of being statistically non-significant compared with fully reported outcomes (odds ratio 2.0 (95% confidence interval 1.6 to 2.7) for efficacy outcomes; 1.9 (1.1 to 3.5) for harm outcomes). The most commonly reported reasons for omitting efficacy outcomes included space constraints, lack of clinical importance, and lack of statistical significance.

Conclusions: Incomplete reporting of outcomes within published articles of randomised trials is common and is associated with statistical non-significance. The medical literature therefore represents a selective and biased subset of study outcomes, and trial protocols should be made publicly available.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bias*
  • Data Collection / standards
  • Prevalence
  • PubMed
  • Randomized Controlled Trials as Topic / standards*
  • Randomized Controlled Trials as Topic / statistics & numerical data
  • Selection Bias
  • Treatment Outcome