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Janus kinases inhibitors for coronavirus disease-2019: A pairwise and Bayesian network meta-analysis
Frontiers in medicine ; 9, 2022.
Article in English | EuropePMC | ID: covidwho-2156963
ABSTRACT
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;I2 = 32%) without increasing the risk of adverse events (OR = 1.02;95% CI 0.88–1.18;P = 0.79;I2 = 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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Collection: Databases of international organizations Database: EuropePMC Type of study: Reviews Language: English Journal: Frontiers in medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EuropePMC Type of study: Reviews Language: English Journal: Frontiers in medicine Year: 2022 Document Type: Article