Assessment of the available therapeutic approaches for severe COVID-19: a meta-analysis of randomized controlled trials

Abstract

The study aimed to evaluate severe COVID-19 treatment approaches. We conducted a meta-analysis of randomized controlled trials (RTCs) with standard of care (SoC) as a control group and/or placebo. Database searching was performed separately for severe COVID-19 treatment such as anakinra, remdesivir, baricitinib, ivermectin, ritonavir, tocilizumab, sarilumab, sotrovimab, casirivimab/imdevimab. The results are presented as Risk Ratio (RR), 95% Confidence Interval (CI), and heterogeneity (I2). We obtained the most statistically significant outcomes favorable tocilizumab compared to SoC for death incidents RR 0.87 [95% CI 0.80, 0.95], overall effect p = 0.002, heterogeneity p = 0.85, I2 = 0%, need for mechanical ventilation RR 0.78 [95% CI 0.68, 0.89], overall effect p = 0.0004, heterogeneity p = 0.55, I2 = 0%, and number of patients discharged from hospital. RR 1.13 [95% CI 1.07, 1.20], overall effect p < 0.00001, heterogeneity p = 0.009, I2 = 85%. This meta-analysis has revealed that a considerable amount of research characterized by a very diverse methodology is available. Despite the limited data that met the criteria for inclusion in the meta-analysis, we showed that the available treatment options for severe COVID-19 are effective.