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Efficacy of Corticosteroids in COVID-19 Patients: A Systematic Review and Meta-Analysis (preprint)
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.08.13.20174201
ABSTRACT
BackgroundTo systematically review the literature about the effect of systemic corticosteroid therapy (CST) on outcomes of COVID-19 patients. MethodsWe searched Medline, Embase, EBM Reviews, Scopus, Web of Science, and preprints up to July 20, 2020. We included observational studies and randomized controlled trials (RCT) that assessed COVID-19 patients treated with CST. We pooled adjusted effect estimates of mortality and other outcomes using a random effect model, among studies at low or moderate risk for bias. We assessed the certainty of evidence for each outcome using the GRADE approach. ResultsOut of 1067 citations screened for eligibility, one RCT and 19 cohort studies were included (16,977 hospitalized patients). Ten studies (1 RCT and 9 cohorts) with 10,278 patients examined the effect of CST on short term mortality. The pooled adjusted RR was 0.92 (95% CI 0.69-1.22, I2=81.94 %). This effect was observed across all stages of disease severity. Four cohort studies examined the effect of CST on composite outcome of death, ICU admission and mechanical ventilation need. The pooled adjusted RR was 0.41(0.23-0.73, I2=78.69%). Six cohort studies examined the effect of CST on delayed viral clearance. The pooled adjusted RR was 1.47(95% CI 1.11-1.93, I2=43.38%). ConclusionHeterogeneous and low certainty cumulative evidence suggests that CST lacks efficacy in reducing short-term mortality while possibly delaying viral clearance in patients hospitalized with COVID-19. Because of the discordant results between the single RCT and observational studies, more research should continue to identify the clinical and biochemical characteristics of patients population that could benefit from CST.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: COVID-19 Language: English Year: 2020 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: COVID-19 Language: English Year: 2020 Document Type: Preprint