2009
DOI: 10.1111/j.1742-1241.2009.02168.x
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Understanding heterogeneity in meta-analysis: the role of meta-regression

Abstract: The current review will enable clinicians and healthcare decision-makers to appropriately interpret the results of meta-regression when used within the constructs of a systematic review, and be able to extend it to their clinical practice.

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Cited by 326 publications
(228 citation statements)
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“…Meta-analysis, which combines results from multiple studies to estimate the treatment outcome, is usually used to explore the heterogeneity issue. Ideally such exploration should be based on individual patient data obtained from the original clinical trials, but collection of individual patient data is time-consuming, and pertinent patient data may not be recorded in a standardized way and are usually not available from all relevant trials [21][22][23][24]. Meta-analysis based on aggregated patient data, on the other hand, is more feasible to perform, and the heterogeneity issue is analyzed by sub-group analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Meta-analysis, which combines results from multiple studies to estimate the treatment outcome, is usually used to explore the heterogeneity issue. Ideally such exploration should be based on individual patient data obtained from the original clinical trials, but collection of individual patient data is time-consuming, and pertinent patient data may not be recorded in a standardized way and are usually not available from all relevant trials [21][22][23][24]. Meta-analysis based on aggregated patient data, on the other hand, is more feasible to perform, and the heterogeneity issue is analyzed by sub-group analysis.…”
Section: Introductionmentioning
confidence: 99%
“…We then assessed differences in the association between countries by log-GDP and urbanization using randomeffects meta-regression, which utilized the countryspecific effect estimates to statistically test for differences in the employment-overweight effect size by country-level factors (e.g. log-GDP) [35][36][37]. Alpha was set to 0.05 for main effects and to 0.10 for interaction terms.…”
Section: Discussionmentioning
confidence: 99%
“…Values of I 2 lie between 0 and 100% where a value >75% may be considered substantially heterogeneous [24]. Heterogeneous results warrant investigation into its sources, either through meta-regression [25] or outlier treatment [17]. The former focuses on covariates and the latter is graphically assessed with the Galbraith plot [17], which is used to detect outlying studies.…”
Section: Heterogeneitymentioning
confidence: 99%