Drug treatments for covid-19: living systematic review and network meta-analysis

被引:602
作者
Siemieniuk, Reed A. C. [1 ]
Bartoszko, Jessica J. [1 ]
Ge, Long [2 ]
Zeraatkar, Dena [1 ]
Izcovich, Ariel [3 ]
Pardo-Hernandez, Hector [4 ,5 ]
Rochwerg, Bram [1 ,6 ]
Lamontagne, Francois [7 ,8 ]
Han, Mi Ah [9 ]
Kum, Elena [1 ]
Liu, Qin [10 ,11 ]
Agarwal, Arnav [1 ,12 ]
Agoritsas, Thomas [1 ,13 ,14 ]
Alexander, Paul [1 ]
Chu, Derek K. [18 ]
Couban, Rachel [15 ]
Darzi, Andrea [1 ]
Devji, Tahira [1 ]
Fang, Bo [10 ,11 ]
Fang, Carmen [16 ]
Flottorp, Signe Agnes [17 ,18 ]
Foroutan, Farid [1 ,19 ]
Heels-Ansdell, Diane [1 ]
Honarmand, Kimia [3 ]
Hou, Liangying [2 ]
Hou, Xiaorong [20 ]
Ibrahim, Quazi [1 ]
Loeb, Mark [1 ,6 ]
Marcucci, Maura [1 ,6 ]
McLeod, Shelley L. [21 ,22 ]
Motaghi, Sharhzad [1 ]
Murthy, Srinivas [23 ]
Mustafa, Reem A. [1 ,24 ]
Neary, John D. [3 ]
Qasim, Anila [1 ]
Rada, Gabriel [25 ,26 ]
Bin Riaz, Irbaz [27 ]
Sadeghirad, Behnam [1 ,15 ]
Sekercioglu, Nigar [1 ]
Sheng, Lulu [10 ,11 ]
Switzer, Charlotte [1 ]
Tendal, Britta [28 ]
Thabane, Lehana [1 ]
Tomlinson, George [29 ]
Turner, Tari [28 ]
Vandvik, Per O. [16 ]
Vernooij, Robin Wm [30 ,31 ]
Viteri-Garcia, Andres [25 ,32 ]
Wang, Ying [1 ]
Yao, Liang [1 ]
机构
[1] McMaster Univ, Dept Hlth Res Methods Evidence & Impact, 1280 Main St W, Hamilton, ON L8S 4L8, Canada
[2] Lanzhou Univ, Evidence Based Social Sci Res Ctr, Sch Publ Hlth, Lanzhou, Gansu, Peoples R China
[3] Hosp Aleman, Serv Clin Med, Buenos Aires, DF, Argentina
[4] St Pau Biomed Res Inst IIB St Pau, Iberoamer Cochrane Ctr, Barcelona, Spain
[5] CIBER Epidemiol & Salud Publ CIBERESP, Barcelona, Spain
[6] McMaster Univ, Dept Med, Hamilton, ON, Canada
[7] CHU Sherbrooke, Dept Med, Sherbrooke, PQ, Canada
[8] CHU Sherbrooke, Ctr Rech, Sherbrooke, PQ, Canada
[9] Chosun Univ, Coll Med, Dept Prevent Med, Gwangju, South Korea
[10] Chongqing Med Univ, Cochrane China Network Affiliate, Chongqing, Peoples R China
[11] Chongqing Med Univ, Sch Publ Hlth & Management, Chongqing, Peoples R China
[12] Univ Toronto, Dept Med, Toronto, ON, Canada
[13] Univ Hosp Geneva, Div Gen Internal Med, Geneva, Switzerland
[14] Univ Hosp Geneva, Div Clin Epidemiol, Geneva, Switzerland
[15] McMaster Univ, Dept Anesthesia, Hamilton, ON, Canada
[16] William Oster Hlth Network, Toronto, ON, Canada
[17] Norwegian Inst Publ Hlth, Oslo, Norway
[18] Univ Oslo, Inst Hlth & Soc, Oslo, Norway
[19] Toronto Gen Hosp, Ted Rogers Ctr Heart Res, Toronto, ON, Canada
[20] Chongqing Med Univ, Coll Med Informat, Chongqing, Peoples R China
[21] Sinai Hlth, Schwartz Reisman Emergency Med Inst, Toronto, ON, Canada
[22] Univ Toronto, Dept Family & Community Med, Toronto, ON, Canada
[23] Univ British Columbia, Fac Med, Dept Pediat, Vancouver, BC, Canada
[24] Univ Kansas, Med Ctr, Dept Med, Kansas City, MO USA
[25] Epistemonikos Fdn, Santiago, Chile
[26] Pontificia Univ Catolica Chile, Cochrane Chile Associated Ctr, UC Evidence Ctr, Santiago, Chile
[27] Mayo Clin Rochester, Hematol & Oncol, Rochester, MN USA
[28] Monash Univ, Sch Publ Hlth & Preventat Med, Melbourne, Vic, Australia
[29] Univ Hlth Network, Dept Med, Toronto, ON, Canada
[30] Univ Med Ctr Utrecht, Dept Nephtol & Hypertens, Utrecht, Netherlands
[31] Univ Utrecht, Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands
[32] Univ UTE, Fac Ciencias Salud Eugenio Espejo, Ctr Invest Salud Publ & Epidemiol Clin CISPEQ, Quito, Ecuador
来源
BMJ-BRITISH MEDICAL JOURNAL | 2020年 / 370卷
基金
加拿大健康研究院;
关键词
MULTICENTER;
D O I
10.1136/bmj.m2980
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
OBJECTIVE To compare the effects of treatments for coronavirus disease 2019 (covid-19). DESIGN Living systematic review and network meta-analysis. DATA SOURCES US Centers for Disease Control and Prevention COVID-19 Research Articles Downloadable Database, which includes 25 electronic databases and six additional Chinese databases to 20 July 2020. 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 random effects 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 recommendations assessment, development and evaluation (GRADE) approach. For each outcome, interventions were classified in groups from the most to the least beneficial or harmful following GRADE guidance. RESULTS 23 randomised controlled trials were included in the analysis performed on 26 June 2020. The certainty of the evidence for most comparisons was very low because of risk of bias (lack of blinding) and serious imprecision. Glucocorticoids were the only intervention with evidence for a reduction in death compared with standard care (risk difference 37 fewer per 1000 patients, 95% credible interval 63 fewer to 11 fewer, moderate certainty) and mechanical ventilation (31 fewer per 1000 patients, 47 fewer to 9 fewer, moderate certainty). These estimates are based on direct evidence; network estimates for glucocorticoids compared with standard care were less precise because of network heterogeneity. Three drugs might reduce symptom duration compared with standard care: hydroxychloroquine (mean difference -4.5 days, low certainty), remdesivir (-2.6 days, moderate certainty), and lopinavir-ritonavir (-1.2 days, low certainty). Hydroxychloroquine might increase the risk of adverse events compared with the other interventions, and remdesivir probably does not substantially increase the risk of adverse effects leading to drug discontinuation. No other interventions included enough patients to meaningfully interpret adverse effects leading to drug discontinuation. CONCLUSION Glucocorticoids probably reduce mortality and mechanical ventilation in patients with covid-19 compared with standard care. The effectiveness of most interventions is uncertain because most of the randomised controlled trials so far have been small and have important study limitations.
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