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Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis

BACKGROUND: JAK (Janus kinases) inhibitors have been proposed as a promising treatment option for the coronavirus disease-2019 (COVID-19). However, the benefits of JAK inhibitors and the optimum thereof for COVID-19 have not been adequately defined. METHODS: Databases were searched from their incept...

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Autores principales: Niu, Jianyi, Lin, Zhiwei, He, Zhenfeng, Yang, Xiaojing, Qin, Lijie, Feng, Shengchuan, Guan, Lili, Zhou, Luqian, Chen, Rongchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727257/
https://www.ncbi.nlm.nih.gov/pubmed/36507538
http://dx.doi.org/10.3389/fmed.2022.973688
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author Niu, Jianyi
Lin, Zhiwei
He, Zhenfeng
Yang, Xiaojing
Qin, Lijie
Feng, Shengchuan
Guan, Lili
Zhou, Luqian
Chen, Rongchang
author_facet Niu, Jianyi
Lin, Zhiwei
He, Zhenfeng
Yang, Xiaojing
Qin, Lijie
Feng, Shengchuan
Guan, Lili
Zhou, Luqian
Chen, Rongchang
author_sort Niu, Jianyi
collection PubMed
description BACKGROUND: JAK (Janus kinases) inhibitors have been proposed as a promising treatment option for the coronavirus disease-2019 (COVID-19). However, the benefits of JAK inhibitors and the optimum thereof for COVID-19 have not been adequately defined. METHODS: Databases were searched from their inception dates to 17 June 2022. Eligible studies included randomized controlled trials and observational studies. Extracted data were analyzed by pairwise and network meta-analysis. The primary outcome was the coefficient of mortality. RESULTS: Twenty-eight studies of 8,206 patients were included and assessed qualitatively (modified Jadad and Newcastle–Ottawa Scale scores). A pairwise meta-analysis revealed that JAK inhibitors effectively reduced the mortality (OR = 0.54; 95% CI: 0.46–0.63; P < 0.00001; I(2) = 32%) without increasing the risk of adverse events (OR = 1.02; 95% CI: 0.88–1.18; P = 0.79; I(2) = 12%). In a network meta-analysis, clinical efficacy benefits were seen among different types of JAK inhibitors (baricitinib, ruxolitinib, and tofacitinib) without the observation of a declined incidence of adverse events. The assessment of rank probabilities indicated that ruxolitinib presented the greatest likelihood of benefits regarding mortality and adverse events. CONCLUSION: JAK inhibitors appear to be a promising treatment for COVID-19 concerning reducing mortality, and they do not increase the risk of adverse events vs. standard of care. A network meta-analysis suggests that mortality benefits are associated with specific JAK inhibitors, and among these, ruxolitinib presents the greatest likelihood of having benefits for mortality and adverse events. SYSTEMATIC REVIEW REGISTRATION: [www.crd.york.ac.uk/prospero], identifier [CRD42022343338].
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spelling pubmed-97272572022-12-08 Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis Niu, Jianyi Lin, Zhiwei He, Zhenfeng Yang, Xiaojing Qin, Lijie Feng, Shengchuan Guan, Lili Zhou, Luqian Chen, Rongchang Front Med (Lausanne) Medicine BACKGROUND: JAK (Janus kinases) inhibitors have been proposed as a promising treatment option for the coronavirus disease-2019 (COVID-19). However, the benefits of JAK inhibitors and the optimum thereof for COVID-19 have not been adequately defined. METHODS: Databases were searched from their inception dates to 17 June 2022. Eligible studies included randomized controlled trials and observational studies. Extracted data were analyzed by pairwise and network meta-analysis. The primary outcome was the coefficient of mortality. RESULTS: Twenty-eight studies of 8,206 patients were included and assessed qualitatively (modified Jadad and Newcastle–Ottawa Scale scores). A pairwise meta-analysis revealed that JAK inhibitors effectively reduced the mortality (OR = 0.54; 95% CI: 0.46–0.63; P < 0.00001; I(2) = 32%) without increasing the risk of adverse events (OR = 1.02; 95% CI: 0.88–1.18; P = 0.79; I(2) = 12%). In a network meta-analysis, clinical efficacy benefits were seen among different types of JAK inhibitors (baricitinib, ruxolitinib, and tofacitinib) without the observation of a declined incidence of adverse events. The assessment of rank probabilities indicated that ruxolitinib presented the greatest likelihood of benefits regarding mortality and adverse events. CONCLUSION: JAK inhibitors appear to be a promising treatment for COVID-19 concerning reducing mortality, and they do not increase the risk of adverse events vs. standard of care. A network meta-analysis suggests that mortality benefits are associated with specific JAK inhibitors, and among these, ruxolitinib presents the greatest likelihood of having benefits for mortality and adverse events. SYSTEMATIC REVIEW REGISTRATION: [www.crd.york.ac.uk/prospero], identifier [CRD42022343338]. Frontiers Media S.A. 2022-11-23 /pmc/articles/PMC9727257/ /pubmed/36507538 http://dx.doi.org/10.3389/fmed.2022.973688 Text en Copyright © 2022 Niu, Lin, He, Yang, Qin, Feng, Guan, Zhou and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Niu, Jianyi
Lin, Zhiwei
He, Zhenfeng
Yang, Xiaojing
Qin, Lijie
Feng, Shengchuan
Guan, Lili
Zhou, Luqian
Chen, Rongchang
Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title_full Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title_fullStr Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title_full_unstemmed Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title_short Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
title_sort janus kinases inhibitors for coronavirus disease-2019: a pairwise and bayesian network meta-analysis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727257/
https://www.ncbi.nlm.nih.gov/pubmed/36507538
http://dx.doi.org/10.3389/fmed.2022.973688
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