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Related Experiment Videos

Discrepancies between meta-analyses and subsequent large randomized, controlled trials

J LeLorier1, G Grégoire, A Benhaddad

  • 1Research Center, Hôtel-Dieu de Montréal Hospital, Department of Medicine, University of Montreal, QC, Canada.

The New England Journal of Medicine
|August 21, 1997
PubMed
Summary
This summary is machine-generated.

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Meta-analyses previously published on the same topics did not accurately predict the outcomes of large randomized controlled trials 35% of the time. This highlights potential discrepancies between meta-analysis findings and gold-standard trial results.

Area of Science:

  • Clinical research methodology
  • Evidence-based medicine

Background:

  • Meta-analyses are frequently used to inform clinical strategies.
  • Large randomized controlled trials (RCTs) are considered the gold standard for evaluating intervention efficacy.

Purpose of the Study:

  • To compare the findings of large RCTs with previously published meta-analyses on the same clinical questions.
  • To assess the accuracy of meta-analyses in predicting the outcomes of large RCTs.

Main Methods:

  • Compared results of 12 large RCTs (≥1000 patients) from major medical journals with 19 meta-analyses on identical topics.
  • Assessed agreement on primary and secondary outcomes and determined if results were positive or negative (P<0.05).

Main Results:

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  • Fair agreement (kappa=0.35) was observed between meta-analyses and RCTs for 40 outcomes.
  • Meta-analyses had a 68% positive predictive value and 67% negative predictive value.
  • Discrepancies occurred in 35% of cases, with differing statistical significance between methods.

    • Conclusions:

    • Previously published meta-analyses did not accurately predict outcomes of large RCTs in 35% of instances.
    • This suggests potential limitations in using meta-analyses alone for clinical decision-making when large RCTs exist.