2012
DOI: 10.1002/jrsm.1045
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Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression

Abstract: Network meta-analysis (multiple treatments meta-analysis, mixed treatment comparisons) attempts to make the best use of a set of studies comparing more than two treatments. However, it is important to assess whether a body of evidence is consistent or inconsistent. Previous work on models for network meta-analysis that allow for heterogeneity between studies has either been restricted to two-arm trials or followed a Bayesian framework. We propose two new frequentist ways to estimate consistency and inconsisten… Show more

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Cited by 910 publications
(872 citation statements)
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“…21,22 Second, we conducted network meta-analysis using a multivariate random-effects meta-regression. 23,24 Categorical outcomes were reported as risk ratio (RR), and continuous outcome (6MWD) was reported as weighted mean difference (WMD), with their corresponding 95% CIs. For categorical outcomes, an estimate for the absolute effect size was additionally obtained by multiplying the RR for each agent with the median placebo response rate for that outcome.…”
Section: Resultsmentioning
confidence: 99%
“…21,22 Second, we conducted network meta-analysis using a multivariate random-effects meta-regression. 23,24 Categorical outcomes were reported as risk ratio (RR), and continuous outcome (6MWD) was reported as weighted mean difference (WMD), with their corresponding 95% CIs. For categorical outcomes, an estimate for the absolute effect size was additionally obtained by multiplying the RR for each agent with the median placebo response rate for that outcome.…”
Section: Resultsmentioning
confidence: 99%
“…The frequentist approaches to NMA that can cope with large and complex networks, such as the routine in Stata that fits the multivariate random-effects meta-analysis model [33,39], have not been applied widely but are expected to be increasingly used in the next years. Similarly, the design-by-treatment interaction model to test for inconsistency [34] that was introduced in 2012 was used in only few networks.…”
Section: A C C E P T E D Accepted Manuscriptmentioning
confidence: 99%
“…Efthimiou inconsistency [33,34]. Their work enables researchers to fit models using frequentist software.…”
Section: Introduction Introduction Introductionmentioning
confidence: 99%
“…Results were presented as standardized mean difference (SMD) with 95 % confidence intervals (CIs) and odds ratio (OR) with 95 % CIs. In the network meta-analysis, a random-effects network metaanalysis was used for mixed multiple treatment comparisons, fully preserving the within-trial randomized treatment comparison of each trial [18]. The I 2 index was calculated to evaluate the extent of variability attributable to statistical heterogeneity between trials.…”
Section: Resultsmentioning
confidence: 99%