Literature DB >> 7891492

Predictive ability of meta-analyses of randomised controlled trials.

J Villar1, G Carroli, J M Belizán.   

Abstract

Although meta-analysis of randomised clinical trials is increasingly used, the evaluation of its ability to predict the results of large trials is not available. We have calculated the relative risks (and 95% confidence intervals) for thirty meta-analyses of different interventions in perinatal medicine, covering 185 randomised controlled trials, but with the largest trial removed. We then compared those results with the result of the largest trial (total sample size more than 1000) done on that intervention and outcome. Twenty-four meta-analyses correctly predicted the direction of the treatment effect, but only eighteen of the thirty were the same both in direction of treatment effect and in statistical significance as the largest trial. There was moderate agreement, beyond chance, between meta-analysis and largest trial results (kappa statistic 0.46-0.53). A meta-analysis demonstrating a protective effect from an intervention of more than 40% had a 60% probability of correctly predicting results of the same magnitude of the largest trial. Researchers and funding agencies may use meta-analysis before recommending a clinical practice or to summarise results of three controlled trials before deciding on additional studies of promising interventions. However, further evaluation of the meta-analytical method is needed if the qualitative and quantitative results it yields are to be better understood.

Mesh:

Year:  1995        PMID: 7891492     DOI: 10.1016/s0140-6736(95)90646-0

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  28 in total

Review 1.  The use of meta-analysis in cost-effectiveness analysis. Issues and recommendations.

Authors:  S Saint; D L Veenstra; S D Sullivan
Journal:  Pharmacoeconomics       Date:  1999-01       Impact factor: 4.981

2.  The morality of scientific openness.

Authors:  Christian Munthe; Stellan Welin
Journal:  Sci Eng Ethics       Date:  1996-10       Impact factor: 3.525

3.  Users' guide to the surgical literature: how to use a systematic literature review and meta-analysis.

Authors:  Mohit Bhandari; P J Devereaux; Victor Montori; Claudio Cinà; Ved Tandan; Gordon H Guyatt
Journal:  Can J Surg       Date:  2004-02       Impact factor: 2.089

4.  Evaluating meta-analyses in the general surgical literature: a critical appraisal.

Authors:  Elijah Dixon; Morad Hameed; Francis Sutherland; Deborah J Cook; Christopher Doig
Journal:  Ann Surg       Date:  2005-03       Impact factor: 12.969

5.  The challenges of evidence-based medicine: a philosophical perspective.

Authors:  Abhaya V Kulkarni
Journal:  Med Health Care Philos       Date:  2005

6.  Systematic reviews of meta-analyses: applications and limitations.

Authors:  Miguel Delgado-Rodríguez
Journal:  J Epidemiol Community Health       Date:  2006-02       Impact factor: 3.710

Review 7.  Development of the Veritas plot and its application in cardiac surgery: an evidence-synthesis graphic tool for the clinician to assess multiple meta-analyses reporting on a common outcome.

Authors:  Sukhmeet S Panesar; Christopher Rao; Joshua A Vecht; Saqeb B Mirza; Gopalakrishnan Netuveli; Richard Morris; Joe Rosenthal; Ara Darzi; Thanos Athanasiou
Journal:  Can J Surg       Date:  2009-10       Impact factor: 2.089

8.  Growing pains of meta-analysis.

Authors:  I Sim; M A Hlatky
Journal:  BMJ       Date:  1996-09-21

9.  The relevance to meta-analysis, systematic reviews and the cochrane collaboration to clinical psychiatry.

Authors:  P Tharyan
Journal:  Indian J Psychiatry       Date:  1998-04       Impact factor: 1.759

Review 10.  Intravenous immunoglobulin for treating sepsis, severe sepsis and septic shock.

Authors:  Marissa M Alejandria; Mary Ann D Lansang; Leonila F Dans; Jacinto Blas Mantaring
Journal:  Cochrane Database Syst Rev       Date:  2013-09-16
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