2013
DOI: 10.1002/jrsm.1085
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Assessing key assumptions of network meta‐analysis: a review of methods

Abstract: Presently, we advocate applying existing assessment methods collectively to gain the best understanding possible regarding whether assumptions are reasonable. In our example, consistency was questionable; therefore the NMA results may be unreliable.

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Cited by 195 publications
(158 citation statements)
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References 114 publications
(284 reference statements)
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“…Homogeneity and consistency assumptions underlie NMA25. Although assessment of heterogeneity in traditional meta-analyses was common, only 4 NMAs (3.92%) assessed the heterogeneity in the entire network by heterogeneity variance parameter (Tau 2 ).…”
Section: Discussionmentioning
confidence: 99%
“…Homogeneity and consistency assumptions underlie NMA25. Although assessment of heterogeneity in traditional meta-analyses was common, only 4 NMAs (3.92%) assessed the heterogeneity in the entire network by heterogeneity variance parameter (Tau 2 ).…”
Section: Discussionmentioning
confidence: 99%
“…Note that IF is the logarithm of the ratio of two odds ratios ( RoR ) from direct and indirect evidence in the loop. RoR values truncate at one would also indicate consistency [62]. A forest plot of the estimated summary effects, along with confidence intervals and corresponding predictive intervals (PrI) for all comparisons, summarizes the relative mean effects, the impact of heterogeneity and predictions on each comparison in one plot [63].…”
Section: Methodsmentioning
confidence: 99%
“…Next, network meta-analysis was performed by using the GEMTC (V0.6) package and the corresponding results were combined with those obtained from the DerSimonian-Laird random-effects model and Monte Carlo Markov Chain (MCMC). We used R software (V3.2.1) in order to produce the surface under the cumulative ranking curve (SUCRA) and calculated the ranking of different interventions [53]. For each intervention, efficacy and safety outcomes were ranked by the SUCRA: a higher value of SUCRA indicated a higher ranking.…”
Section: Methodsmentioning
confidence: 99%