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Effect of corticosteroids in patients with COVID-19: a Bayesian network meta-analysis by Xing Wang; Dingke Wen; Qiang He; Jingguo Yang; Chao You; Chuanyuan Tao; Lu Ma is a Medicine article available to read on EtoBox.

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## Objectives: We sought to perform a network meta-analysis to compare the safety and efficacy of the systemic administration of corticosteroids for the treatment of covid-19. ## Methods: A bayesian network meta-analysis was performed to combine the direct and indirect evidence. the surface under the cumulative ranking curve was obtained to estimate the ranking probability of the treatment agents for each outcome. the efficacy outcome was 28-day all-cause mortality. the safety outcome was serious adverse events. ## Results: A total of 16 trials with 2992 patients comparing four treatments (dexamethasone, hydrocortisone, methylprednisolone, and placebo) were identified. direct analysis showed that corticosteroids were associated with a reduced risk of 28-day mortality compared with usual care (risk ratio [rr] 0.83; 95% confidence interval [cri] 0.70-0.99). network analysis showed that the pooled rr was 0.63 (95% cri 0.39-0.93) for all-cause mortality at 28 days comparing methylprednisolone with usual care or placebo (surface under the cumulative ranking curve: 91%). our analysis demonstrated that patients who received a low dose of corticosteroids (rr 0.80; 95% cri 0.70-0.91) and a

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Author

Xing Wang; Dingke Wen; Qiang He; Jingguo Yang; Chao You; Chuanyuan Tao; Lu Ma

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Medicine (Health Sciences)