Author: Israel Junior Borges do Nascimento; Donal P O'Mathuna; Thilo Caspar von Groote; Hebatullah Mohamed Abdulazeem; Ishanka Weerasekara; Ana Marusic; Livia Puljak; Vinicius Tassoni Civile; Irena Zakarija-Grkovic; Tina Poklepovic Pericic; Alvaro Nagib Atallah; Santino Filoso; Nicola Luigi Bragazzi; Milena Soriano Marcolino
Title: Coronavirus Disease (COVID-19) Pandemic: An Overview of Systematic Reviews Document date: 2020_4_22
ID: e7o4iub7_30
Snippet: For analysis of prevalence of clinical outcomes, we extracted data on the number of events and total number of patients to perform proportional meta-analysis using RStudio © software, with the "meta" package (version 4.9-6), using the "metaprop" function for reviews that did not perform meta-analysis, excluding case studies because of the absence of variance. For reviews that did not perform meta-analysis, we presented pooled results of proporti.....
Document: For analysis of prevalence of clinical outcomes, we extracted data on the number of events and total number of patients to perform proportional meta-analysis using RStudio © software, with the "meta" package (version 4.9-6), using the "metaprop" function for reviews that did not perform meta-analysis, excluding case studies because of the absence of variance. For reviews that did not perform meta-analysis, we presented pooled results of proportions with their respective confidence intervals (95%) by the inverse variance method with a random-effects model, using the DerSimonian-Laird estimator for τ 2 . We adjusted data using Freeman-Tukey double arcosen transformation. Confidence intervals were calculated using the Clopper-Pearson method for individual studies. Forest plots were generated showing data from individual systematic reviews, but results were not pooled because some studies were included in multiple reviews. We developed the using RStudio © software, with the "metafor" package (version 2.1-0) and "forest" function.
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