CINeMA: An approach for assessing confidence in the results of a network meta-analysis
| Autor: | Matthias Egger, Theodoros Papakonstantinou, Adriani Nikolakopoulou, Cinzia Del Giovane, Julian P T Higgins, Anna Chaimani, Georgia Salanti |
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| Přispěvatelé: | Institute of Social and Preventive Medicine [Bern] (ISPM), Universität Bern [Bern] (UNIBE), University of Bristol [Bristol], Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Cochrane France [Paris], University of Bern, Institute of Primary Health Care, The development of the software and part of the presented work was supported by the Cochrane Collaboration and the Campbell Collaboration. GS, AN, TP were supported by project funding (Grant No. 179158) from the Swiss National Science Foundation. ME was supported by special project funding (Grant No. 174281) from the Swiss National Science Foundation., Bodescot, Myriam, Universität Bern [Bern], Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
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| Zdroj: | PLoS Medicine PLoS Medicine, Public Library of Science, 2020, 17 (4), pp.e1003082. ⟨10.1371/journal.pmed.1003082⟩ 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 Nikolakopoulou, A, Higgins, J P T, Papakonstantinou, T, Chaimani, A, Del Giovane, C, Egger, M & Salanti, G 2020, ' CINeMA : An approach for assessing confidence in the results of a network meta-analysis ', PLoS Medicine, vol. 17, no. 4, e1003082 . https://doi.org/10.1371/journal.pmed.1003082 PLoS Medicine, Vol 17, Iss 4, p e1003082 (2020) |
| ISSN: | 1549-1277 1549-1676 |
| DOI: | 10.1371/journal.pmed.1003082⟩ |
| Popis: | 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. Adriani Nikolakopoulou and co-authors discuss CINeMA, an approach for evaluating the findings of network meta-analyses. |
| Databáze: | OpenAIRE |
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