Document Detail

A comparison of summary patient-level covariates in meta-regression with individual patient data meta-analysis.
MedLine Citation:
PMID:  11781126     Owner:  NLM     Status:  MEDLINE    
OBJECTIVES: To compare meta-analysis of summary study level data with the equivalent individual patient data (IPD) analysis when interest lies in identification of binary patient characteristics related to treatment efficacy. DESIGN: A simulation study comparing meta-regression with IPD analyses of randomized controlled trials. METHODS: Twenty-seven different meta-analysis situations were simulated with 1000 repetitions in each case. The following parameters were varied: (1) the treatment effect magnitude for different patient risk groups; (2) sample sizes of individual studies; and (3) number of studies. The meta-regression and IPD results were then compared for each situation. RESULTS: The statistical power of meta-regression was dramatically and consistently lower than that of IPD analysis, with little agreement between the parameter estimates obtained from the two methods. Only in meta-analyses of large numbers of large trials, did meta-regression detect differential treatment effects between risk groups with any consistency. CONCLUSIONS: Meta-analysis of summary data may be adequate when estimating a single pooled treatment effect or investigating study level characteristics. However, when interest lies in investigating whether patient characteristics are related to treatment, IPD analysis will generally be necessary to discover any such relationships. In these situations practitioners should try to obtain individual-level data.
P C Lambert; A J Sutton; K R Abrams; D R Jones
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  55     ISSN:  0895-4356     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2002 Jan 
Date Detail:
Created Date:  2002-01-08     Completed Date:  2002-02-05     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  86-94     Citation Subset:  IM    
Department of Epidemiology and Public Health, University of Leicester, 22-28 Princess Road West, LE1 6TP, Leicester, UK.
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MeSH Terms
Meta-Analysis as Topic*
Regression Analysis*
Sample Size
Treatment Outcome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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