A
Anna Chaimani
Researcher at University of Paris
Publications - 113
Citations - 13656
Anna Chaimani is an academic researcher from University of Paris. The author has contributed to research in topics: Randomized controlled trial & Meta-analysis. The author has an hindex of 35, co-authored 93 publications receiving 8649 citations. Previous affiliations of Anna Chaimani include Cochrane Collaboration & Paris Descartes University.
Papers
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Journal ArticleDOI
The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations
Brian Hutton,Georgia Salanti,Deborah M Caldwell,Anna Chaimani,Christopher H. Schmid,Chris Cameron,John P. A. Ioannidis,Sharon E. Straus,Kristian Thorlund,Jeroen P. Jansen,Cynthia D. Mulrow,Ferrán Catalá-López,Peter C Gøtzsche,Kay Dickersin,Isabelle Boutron,Douglas G. Altman,David Moher +16 more
TL;DR: The process of developing specific advice for the reporting of systematic reviews that incorporate network meta-analyses is described, and the guidance generated from this process is presented.
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Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis
Andrea Cipriani,Andrea Cipriani,Toshi A. Furukawa,Georgia Salanti,Anna Chaimani,Anna Chaimani,Anna Chaimani,Lauren Z Atkinson,Lauren Z Atkinson,Yusuke Ogawa,Stefan Leucht,Henricus G. Ruhé,Henricus G. Ruhé,Erick H. Turner,Julian P T Higgins,Matthias Egger,Nozomi Takeshima,Yu Hayasaka,Hissei Imai,Kiyomi Shinohara,Aran Tajika,John P. A. Ioannidis,John R. Geddes,John R. Geddes +23 more
TL;DR: This work aimed to update and expand previous work to compare and rank antidepressants for the acute treatment of adults with unipolar major depressive disorder, and found that all antidepressants were more effective than placebo.
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Graphical tools for network meta-analysis in STATA
TL;DR: This paper provides a set of STATA routines that can be easily employed to present the evidence base, evaluate the assumptions, fit the network meta-analysis model and interpret its results.
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Evaluating the Quality of Evidence from a Network Meta-Analysis
TL;DR: An approach to determining confidence in the output of a network meta-analysis is proposed based on methodology developed by the Grading of Recommendations Assessment, Development and Evaluation Working Group for pairwise meta-analyses and applied to a systematic review comparing topical antibiotics without steroids for chronically discharging ears with underlying eardrum perforations.
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CINeMA: An approach for assessing confidence in the results of a network meta-analysis.
Adriani Nikolakopoulou,Julian P T Higgins,Theodoros Papakonstantinou,Anna Chaimani,Anna Chaimani,Cinzia Del Giovane,Matthias Egger,Georgia Salanti +7 more
TL;DR: A methodological framework to evaluate confidence in the results from network meta-analyses, Confidence in Network Meta-Analysis (CINeMA), when multiple interventions are compared is presented, which improves transparency and avoids the selective use of evidence when forming judgments, thus limiting subjectivity in the process.