作者
Reed AC Siemieniuk, Jessica J Bartoszko, Dena Zeraatkar, Elena Kum, Anila Qasim, Juan Pablo Díaz Martinez, Ariel Izcovich, Bram Rochwerg, Francois Lamontagne, Mi Ah Han, Arnav Agarwal, Thomas Agoritsas, Maria Azab, Gonzalo Bravo, Derek K Chu, Rachel Couban, Ellen Cusano, Tahira Devji, Zaira Escamilla, Farid Foroutan, Ya Gao, Long Ge, Maryam Ghadimi, Diane Heels-Ansdell, Kimia Honarmand, Liangying Hou, Sara Ibrahim, Assem Khamis, Bonnie Lam, Cristian Mansilla, Mark Loeb, Anna Miroshnychenko, Maura Marcucci, Shelley L McLeod, Sharhzad Motaghi, Srinivas Murthy, Reem A Mustafa, Hector Pardo-Hernandez, Gabriel Rada, Yamna Rizwan, Pakeezah Saadat, Charlotte Switzer, Lehana Thabane, George Tomlinson, Per O Vandvik, Robin WM Vernooij, Andrés Viteri-García, Ying Wang, Liang Yao, Yunli Zhao, Gordon H Guyatt, Romina Brignardello-Petersen
发表日期
2020/7/30
来源
bmj
卷号
370
出版商
British Medical Journal Publishing Group
简介
Objective
To compare the effects of treatments for coronavirus disease 2019 (covid-19).
Design
Living systematic review and network meta-analysis.
Data sources
WHO covid-19 database, a comprehensive multilingual source of global covid-19 literature, up to 3 December 2021 and six additional Chinese databases up to 20 February 2021. Studies identified as of 1 December 2021 were included in the analysis.
Study selection
Randomised clinical trials in which people with suspected, probable, or confirmed covid-19 were randomised to drug treatment or to standard care or placebo. Pairs of reviewers independently screened potentially eligible articles.
Methods
After duplicate data abstraction, a bayesian network meta-analysis was conducted. Risk of bias of the included studies was assessed using a modification of the Cochrane risk of bias 2.0 tool, and the certainty of the evidence using the grading of …
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