CINeMA: An approach for assessing confidence in the results of a network meta-analysis.

Nikolakopoulou, Adriani; Higgins, Julian P T; Papakonstantinou, Theodoros; Chaimani, Anna; Del Giovane, Cinzia; Egger, Matthias; Salanti, Georgia (2020). CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS medicine, 17(4), e1003082. Public Library of Science 10.1371/journal.pmed.1003082

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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.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM)
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Del Giovane, Cinzia; Egger, Matthias and Salanti, Georgia

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1549-1277

Publisher:

Public Library of Science

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

08 Apr 2020 18:42

Last Modified:

14 Apr 2020 08:10

Publisher DOI:

10.1371/journal.pmed.1003082

PubMed ID:

32243458

BORIS DOI:

10.7892/boris.143267

URI:

https://boris.unibe.ch/id/eprint/143267

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