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Effect of remdesivir on patients with COVID-19: A network meta-analysis of randomized control trials.

ABSTRACT: Several randomized controlled trials (RCTs) were conducted to investigate the effect of remdesivir for patients with COVID-19, but their results were conflicting. Thus, we conducted a network meta-analysis comparing the rate of clinical improvement among patients with COVID-19 who received 5-day course of remdesivir versus 10-day course of remdesivir versus standard care. Our network meta-analysis of 4 randomized controlled trials demonstrated that the rate of clinical improvement was significantly higher in the 5-day remdesivir group and 10-day remdesivir group compared to standard care group (OR [95% confidence interval [CI]] =1.89 [1.40-2.56], P <0.001, OR [95% CI] =1.38 [1.15-1.66], P <0.001, respectively). In addition, the rate of clinical improvement was significantly higher in the 5-day remdesivir group compared to the 10-day remdesivir group (OR [95% confidence interval [CI]] =1.37 [1.01-1.85], P =0.041). Our analysis demonstrated that the use of remdesivir for patients with COVID-19 was associated with the significantly higher clinical improvement rate compared with standard care alone.

SUBMITTER: Yokoyama Y

PROVIDER: S-EPMC7437510 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Effect of remdesivir on patients with COVID-19: A network meta-analysis of randomized control trials.

Yokoyama Yujiro Y Briasoulis Alexandros A Takagi Hisato H Kuno Toshiki T

Virus research 20200819

Several randomized controlled trials (RCTs) were conducted to investigate the effect of remdesivir for patients with COVID-19, but their results were conflicting. Thus, we conducted a network meta-analysis comparing the rate of clinical improvement among patients with COVID-19 who received 5-day course of remdesivir versus 10-day course of remdesivir versus standard care. Our network meta-analysis of 4 randomized controlled trials demonstrated that the rate of clinical improvement was significan ...[more]

PMID: 32827627

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Project description:Background: We provided a comprehensive evaluation of efficacy of available treatments for coronavirus disease 2019 (COVID-19). Methods: We searched for candidate COVID-19 studies in WHO COVID-19 Global Research Database up to August 19, 2021. Randomized controlled trials for suspected or confirmed COVID-19 patients published on peer-reviewed journals were included, regardless of demographic characteristics. Outcome measures included mortality, mechanical ventilation, hospital discharge and viral clearance. Bayesian network meta-analysis with fixed effects was conducted to estimate the effect sizes using posterior means and 95% equal-tailed credible intervals (CrIs). Odds ratio (OR) was used as the summary measure for treatment effect. Bayesian hierarchical models were used to estimate effect sizes of treatments grouped by the treatment classifications. Results: We identified 222 eligible studies with a total of 102,950 patients. Compared with the standard of care, imatinib, intravenous immunoglobulin and tocilizumab led to lower risk of death; baricitinib plus remdesivir, colchicine, dexamethasone, recombinant human granulocyte colony stimulating factor and tocilizumab indicated lower occurrence of mechanical ventilation; tofacitinib, sarilumab, remdesivir, tocilizumab and baricitinib plus remdesivir increased the hospital discharge rate; convalescent plasma, ivermectin, ivermectin plus doxycycline, hydroxychloroquine, nitazoxanide and proxalutamide resulted in better viral clearance. From the treatment class level, we found that the use of antineoplastic agents was associated with fewer mortality cases, immunostimulants could reduce the risk of mechanical ventilation and immunosuppressants led to higher discharge rates. Conclusions: This network meta-analysis identified superiority of several COVID-19 treatments over the standard of care in terms of mortality, mechanical ventilation, hospital discharge and viral clearance. Tocilizumab showed its superiority compared with SOC on preventing severe outcomes such as death and mechanical ventilation as well as increasing the discharge rate, which might be an appropriate treatment for patients with severe or mild/moderate illness. We also found the clinical efficacy of antineoplastic agents, immunostimulants and immunosuppressants with respect to the endpoints of mortality, mechanical ventilation and discharge, which provides valuable information for the discovery of potential COVID-19 treatments.

Project description:BackgroundDespite global containment measures to fight the coronavirus disease 2019 (COVID-19), the pandemic continued to rise, rapidly spread across the world, and resulting in 2.6?million confirmed cases and 185 061 deaths worldwide as of 23 April 2020. Yet, there are no approved vaccines or drugs to make the disease less deadly, while efforts are underway. Remdesivir, a nucleotide-analogue antiviral drug developed for Ebola, is determined to prevent and stop infections with COVID-19, while results are yet controversial. Here, we aim to conduct a systematic review and meta-analysis of randomised controlled trials (RCTs) to evaluate the efficacy of remdesivir in patients with COVID-19.Method and analysisWe will search MEDLINE-PubMed, Embase, Cochrane Library, ClinicalTrials.gov and Google scholar databases for articles published as of 30 June 2020 and we will complete the study on 30 August 2020. We will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) 2015 guidelines for the design and reporting of the results. We will include RCTs that assessed the efficacy of remdesivir versus placebo or standard of care. The primary endpoint will be time to clinical recovery. The secondary endpoints will be proportion of participants relieved from clinical symptoms defined at the time (in hours) from initiation of the study treatment, all-cause mortality, discharged date, frequency of respiratory progression and treatment-emergent adverse events. RevMan V.5.3 software will be used for statistical analysis. Random effects model will be carried out to calculate mean differences for continuous outcome data and risk ratio for dichotomous outcome data between remdesivir and placebo or standard of care.Ethics and disseminationThere are no ethical considerations associated with this study as we will use publicly available data from previously published studies. We plan to publish results in open-access peer-reviewed journals and present at international and national conferences.Prospero registration numberCRD42020177953.

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Effect of remdesivir on patients with COVID-19: A network meta-analysis of randomized control trials.

Publications

Effect of remdesivir on patients with COVID-19: A network meta-analysis of randomized control trials.

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