Efficacy and Safety of Immunomodulators in Patients with COVID-19: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials

免疫调节剂治疗新冠肺炎患者的疗效和安全性:随机对照试验的系统评价和网络荟萃分析

阅读:2

Abstract

INTRODUCTION: Many immunomodulators have been studied in clinical trials for the treatment of coronavirus disease 2019 (COVID-19). However, data identifying the most effective and safest treatment are lacking. We conducted a systematic review and network meta-analysis to rank immunomodulators in the treatment of COVID-19 according to their efficacy and safety. METHODS: Published and peer-reviewed randomized controlled trials assessing the efficacy of immunomodulators in hospitalized patients with COVID-19 were searched up to June 30, 2021. Direct and network meta-analyses were applied to assess the outcomes. The probability of efficacy and safety was estimated, and the drugs were awarded a numerical ranking. RESULTS: Twenty-six studies were eligible. Compared with standard of care, dexamethasone and tocilizumab had significantly lower mortality rates with pooled risk ratios (RRs) of 0.91 (95% confidence interval [CI] 0.84-0.99) and 0.88 (95% CI 0.82-0.96), respectively. Meanwhile, the most effective corticosteroid, interleukin-6 antagonist, and Janus kinase (JAK) inhibitor were hydrocortisone, sarilumab, and ruxolitinib, respectively. However, when superimposed infection was considered, ruxolitinib was the best treatment followed by baricitinib. Moreover, methylprednisolone had the worst combined efficacy and safety among the examined treatments. CONCLUSIONS: Overall, immunomodulators were more effective than standard of care. Important differences exist among immunomodulators regarding both efficacy and safety in favor of ruxolitinib and baricitinib. Further well-conducted randomized controlled trials should focus on JAK inhibitors. Methylprednisolone use should be discouraged because of its poor efficacy and high risk of superimposed infection. TRIAL REGISTRATION: PROSPERO registration identifier CRD 42021257421.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。