Literature DB >> 24348752

A Pocock approach to sequential meta-analysis of clinical trials.

Jonathan J Shuster1, Josef Neu.   

Abstract

Three recent papers have provided sequential methods for meta-analysis of two-treatment randomized clinical trials. This paper provides an alternate approach that has three desirable features. First, when carried out prospectively (i.e., we only have the results up to the time of our current analysis), we do not require knowledge of the information fraction (the fraction of the total information that is available at each analysis). Second, the methods work even if the expected values of the effect sizes vary from study to study. Finally, our methods have easily interpretable metrics that make sense under changing effect sizes. Although the other published methods can be adapted to be “group sequential” (recommended), meaning that a set number and timing of looks are specified, rather than looking after every trial, ours can be used in both a continuous or group sequential manner. We provide an example on the role of probiotics in preventing necrotizing enterocolitis in preterm infants.

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Mesh:

Year:  2013        PMID: 24348752      PMCID: PMC3856440          DOI: 10.1002/jrsm.1088

Source DB:  PubMed          Journal:  Res Synth Methods        ISSN: 1759-2879            Impact factor:   5.273


  16 in total

1.  Updated meta-analysis of probiotics for preventing necrotizing enterocolitis in preterm neonates.

Authors:  Girish Deshpande; Shripada Rao; Sanjay Patole; Max Bulsara
Journal:  Pediatrics       Date:  2010-04-19       Impact factor: 7.124

2.  Sequential meta-analysis: an efficient decision-making tool.

Authors:  Ingeborg van der Tweel; Casper Bollen
Journal:  Clin Trials       Date:  2010-03-25       Impact factor: 2.486

3.  Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis.

Authors:  Jørn Wetterslev; Kristian Thorlund; Jesper Brok; Christian Gluud
Journal:  J Clin Epidemiol       Date:  2007-08-23       Impact factor: 6.437

4.  A prospectively planned cumulative meta-analysis applied to a series of concurrent clinical trials.

Authors:  A Whitehead
Journal:  Stat Med       Date:  1997-12-30       Impact factor: 2.373

5.  Meta-analysis and prospective meta-analysis in childhood leukemia clinical research.

Authors:  J J Shuster; P W Gieser
Journal:  Ann Oncol       Date:  1996-12       Impact factor: 32.976

6.  Meta-research: The art of getting it wrong.

Authors:  John P A Ioannidis
Journal:  Res Synth Methods       Date:  2011-03-04       Impact factor: 5.273

7.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

8.  Meta-analysis of safety for low event-rate binomial trials.

Authors:  Jonathan J Shuster; Jennifer D Guo; Jay S Skyler
Journal:  Res Synth Methods       Date:  2012-03       Impact factor: 5.273

9.  A multiple testing procedure for clinical trials.

Authors:  P C O'Brien; T R Fleming
Journal:  Biometrics       Date:  1979-09       Impact factor: 2.571

10.  Rosiglitazone evaluated for cardiovascular outcomes in oral agent combination therapy for type 2 diabetes (RECORD): a multicentre, randomised, open-label trial.

Authors:  Philip D Home; Stuart J Pocock; Henning Beck-Nielsen; Paula S Curtis; Ramon Gomis; Markolf Hanefeld; Nigel P Jones; Michel Komajda; John J V McMurray
Journal:  Lancet       Date:  2009-06-06       Impact factor: 79.321

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