A case study of pooled-studies publications indicated potential for both valuable information and bias

Kylie J. Thaler, Laura C. Morgan, Megan Van Noord, Daniel E. Jonas, Marian S. McDonagh, Kimberly Peterson, Anna Glechner, Gerald Gartlehner

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations


Objectives: Pooled-studies publications (PSPs) present statistical analyses of multiple randomized controlled trials without a systematic literature search or critical appraisal. We explored the characteristics of PSPs and their potential impact on a systematic review (SR). Study Design and Setting: We systematically evaluated PSPs excluded from an SR of second-generation antidepressants. We analyzed their basic characteristics, risk of bias, and the effect of new data on review conclusions. Results: We identified 57 PSPs containing a median of five trials (range, 2-11) and 1,233 patients (range, 117-2,919). Ninety-six percent of PSPs were industry funded, and 49% of PSPs contained unpublished data. The median number of citations for PSPs was 29 (range, 0-549). Only 7% planned pooling a priori, and 19% combined trials with identical protocols. Fifty-nine percent of PSPs eligible for general efficacy provided no new data. For some subgroups and accompanying symptoms (e.g., anxiety, insomnia, melancholia, fatigue, sex, and race), more than 30% of PSPs presented entirely new data or data that could alter the strength of the evidence available in the SR. Conclusion: In this case study, PSPs provided new information on subgroups and secondary outcomes; however, guidance for reviewers and development of a system to assess their susceptibility to bias are required.

Original languageEnglish (US)
Pages (from-to)1082-1092
Number of pages11
JournalJournal of Clinical Epidemiology
Issue number10
StatePublished - Oct 2013


  • Antidepressants
  • Bias
  • Depression
  • Pooling
  • Subgroups
  • Systematic review

ASJC Scopus subject areas

  • Epidemiology


Dive into the research topics of 'A case study of pooled-studies publications indicated potential for both valuable information and bias'. Together they form a unique fingerprint.

Cite this