CINeMA: An approach for assessing confidence in the results of a network meta-analysis
By Adriani Nikolakopoulou, Julian P. T. Higgins, Theodoros Papakonstantinou, A. Chaimani, C. Del Giovane, Matthias Egger, Georgia Salanti. PLoS Medicine, 2020
1,397 citations recorded by the source corpus.
Background The evaluation of the credibility of results from a meta-analysis has become an important part of the evidence synthesis process. We present a methodological framework to evaluate confidence in the results from network meta-analyses, Confidence in Network Meta-Analysis (CINeMA), when multiple interventions are compared. Methodology CINeMA considers 6 domains: (i) within-study bias, (ii) reporting bias, (iii) indirectness, (iv) imprecision, (v) heterogeneity, and (vi) incoherence. Key to judgments about within-study bias and indirectness is the percentage contribution matrix, which shows how much information each study contributes to the results from network meta-analysis. The contribution matrix can easily be computed using a freely available web application. In evaluating imprecision, heterogeneity, and incoherence, we consider the impact of these components of variability in forming clinical decisions. Conclusions Via 3 examples, we show that CINeMA improves transparency and avoids the selective use of evidence when forming judgments, thus limiting subjectivity in the process. CINeMA is easy to apply even in large and complicated networks.
Subfields: Ecology, Evolution, Behavior and Systematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/35bd793fad0fbf74d7f784a8052d834bc4e80f96
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Citations in the corpus
- Effect of exercise for depression: systematic review and network meta-analysis of randomised controlled trials (2024, methodology): “35 49 This online tool was designed by the Cochrane Comparing Multiple Interventions Methods Group as an adaptation of GRADE for network meta-analyses.”
- netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods (2023, neutral): “The simplicity of netmeta has led to its use by two web-applications, MetaInsight (Owen, Bradbury, Xin, Cooper, and Sutton 2019) and CINeMA (confidence in network meta-analysis, Nikolakopoulou et al. 2020).”