2014
DOI: 10.7326/m13-2886
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Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change

Abstract: A primary goal of meta-analysis is to improve the estimation of treatment effects by pooling results of similar studies. This article explains how the most widely used method for pooling heterogeneous studies--the Der Simonian-Laird (DL) estimator--can produce biased estimates with falsely high precision. A classic example is presented to show that use of the DL estimator can lead to erroneous conclusions. Particular problems with the DL estimator are discussed, and several alternative methods for summarizing … Show more

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Cited by 373 publications
(305 citation statements)
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“…Because of the heterogeneity among the studies in the formal expression of results (namely, albuminuria per 24 hours or albumin excretion rate), the between-regimen changes in UAE and ACR were used in the analyses after conversion to percentages when not already available. The pooled MD and 95% confidence interval (95% CI) were estimated using a random effect estimator on the basis of small sample adjustments (likelihood-based method) (18,19). Sensitivity analysis and estimate of heterogeneity were performed as previously described (17).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Because of the heterogeneity among the studies in the formal expression of results (namely, albuminuria per 24 hours or albumin excretion rate), the between-regimen changes in UAE and ACR were used in the analyses after conversion to percentages when not already available. The pooled MD and 95% confidence interval (95% CI) were estimated using a random effect estimator on the basis of small sample adjustments (likelihood-based method) (18,19). Sensitivity analysis and estimate of heterogeneity were performed as previously described (17).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…The method of HartungKnapp-Sidik-Jonkman (HKSJ) [40,41] was employed. This method is recommended over the more common DerSimonian and Laird (DSL) method [42,43] for meta-analyses where only few studies are available (the DSL method was also calculated for comparison). Pooled effect sizes were reported as weighted mean differences (MD) between treatments in the original units when possible, with a 95% confidence interval (CI).…”
Section: Data Synthesismentioning
confidence: 99%
“…Language bias may also have been present as all search terms were in English, although indexed terms were used which may have minimised potential language bias. Finally, the HKSJ estimation method, though chosen because it provides a more conservative estimate than more common approaches, may overestimate uncertainty with so few included studies [42].…”
Section: Strengths and Limitations Of This Reviewmentioning
confidence: 99%
“…However, lack of confidence and the need to repeat the assessment of the RB leads to questions about the possibility of the review being redone or used in the current review. [1][2][3][4]11,12,[14][15][16] Minimum Criteria for the Definition of a Good Systematic Review 8,9…”
Section: Assessment Of the Risk Of Biasmentioning
confidence: 99%