Literature DB >> 8817800

Changes in clinical trials mandated by the advent of meta-analysis.

T C Chalmers1, J Lau.   

Abstract

Service on the Data Monitoring Committee of the CPEP (Calcium for Pre-eclampsia Prevention) has led us to four conclusions about clinical trials which we should like to present to this gathering of biostatisticians for their reactions: (i) meta-analyses of the pertinent published trials of the same therapy should always be undertaken before the start of a new trial, and the results examined to help determine the design of a new trial or determine if a trial should be undertaken at all; (ii) assuming that a decision is made to go ahead, the results of the past trials should be used in sizing the new one; (iii) in the course of the new one, regardless of the size estimates, stopping early should be considered if the trends conform to the results of the meta-analysis; and (iv) heterogeneity of patients entering clinical trials is desirable and should be specifically studied, and it should never be concluded that an average outcome is applicable to all future patients.

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Year:  1996        PMID: 8817800     DOI: 10.1002/(SICI)1097-0258(19960630)15:12<1263::AID-SIM305>3.0.CO;2-K

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Evolution of treatment effects over time: empirical insight from recursive cumulative metaanalyses.

Authors:  J Ioannidis; J Lau
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-23       Impact factor: 11.205

2.  Evolution and translation of research findings: from bench to where?

Authors:  John P A Ioannidis
Journal:  PLoS Clin Trials       Date:  2006-11-17

3.  Continuously updated network meta-analysis and statistical monitoring for timely decision-making.

Authors:  Adriani Nikolakopoulou; Dimitris Mavridis; Matthias Egger; Georgia Salanti
Journal:  Stat Methods Med Res       Date:  2016-09-01       Impact factor: 3.021

4.  Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.

Authors:  Sander Greenland; Stephen J Senn; Kenneth J Rothman; John B Carlin; Charles Poole; Steven N Goodman; Douglas G Altman
Journal:  Eur J Epidemiol       Date:  2016-05-21       Impact factor: 8.082

5.  Use of a random effects meta-analysis in the design and analysis of a new clinical trial.

Authors:  Hayley E Jones; A E Ades; Alex J Sutton; Nicky J Welton
Journal:  Stat Med       Date:  2018-09-06       Impact factor: 2.373

  5 in total

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