Selected article for: "high heterogeneity and meta analysis"

Author: Shuya Lu; Qi Zhou; Liping Huang; Qianling Shi; Siya Zhao; Zijun Wang; Weiguo Li; Yuyi Tang; Yanfang Ma; Xufei Luo; Toshio Fukuoka; Hyeong Sik Ahn; Myeong Soo Lee; Zhengxiu Luo; Enmei Liu; Yaolong Chen; Chenyan Zhou; Donghong Peng
Title: Effectiveness and Safety of Glucocorticoids to Treat COVID-19: A Rapid Review and Meta-Analysis
  • Document date: 2020_4_22
  • ID: 935r7w01_46
    Snippet: Heterogeneity in studies of mortality in SARS patients was reduced to 67.4% in the subgroup analysis of severe cases, and to 68.7% in the subgroup analysis of adults. Therefore, disease severity and age are probably the main sources of heterogeneity in the meta-analysis of mortality. We conducted a sensitivity analysis on the on the SARS mortality by omitting one study at a time. Two studies had a significant impact on the results of the meta-ana.....
    Document: Heterogeneity in studies of mortality in SARS patients was reduced to 67.4% in the subgroup analysis of severe cases, and to 68.7% in the subgroup analysis of adults. Therefore, disease severity and age are probably the main sources of heterogeneity in the meta-analysis of mortality. We conducted a sensitivity analysis on the on the SARS mortality by omitting one study at a time. Two studies had a significant impact on the results of the meta-analysis (34, 35) ( Figure 11 ). The dosing of glucocorticoids was different in the study by Yam et al than in other studies, so the high heterogeneity in the meta-analysis on mortality may be at least partly caused by the different dosing (34).

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