Selected article for: "age prevalence and meta analysis"

Author: Chanaka N Kahathuduwa; Chathurika S Dhanasekara; Shao-Hua Chin
Title: Case fatality rate in COVID-19: a systematic review and meta-analysis
  • Document date: 2020_4_6
  • ID: dcf6bl8f_10
    Snippet: Significant heterogeneity of effect-sizes was a concern for the meta-analysis of 195 prevalence of critical illness as well (Ï„ 2 = 1.994; I 2 = 92%, p < 0.001). Correcting for publication 196 bias decreased this heterogeneity (I 2 = 78%, 95%CI, 69%-84%), however, heterogeneity 197 remained significant (p < 0.001). Univariate meta-regression analyses suggested increased risk of 198 critical illness associated with sample characteristics of increa.....
    Document: Significant heterogeneity of effect-sizes was a concern for the meta-analysis of 195 prevalence of critical illness as well (Ï„ 2 = 1.994; I 2 = 92%, p < 0.001). Correcting for publication 196 bias decreased this heterogeneity (I 2 = 78%, 95%CI, 69%-84%), however, heterogeneity 197 remained significant (p < 0.001). Univariate meta-regression analyses suggested increased risk of 198 critical illness associated with sample characteristics of increasing mean age (p = 0.002), 199 prevalence of age > 60 years (p < 0.001), comorbid hypertension (p < 0.01), cardiac disease (p = 200 0.023) and malignancy (p = 0.041). Similarly, prevalence of fever (p = 0.044), dyspnea (p = 201 0.042) and fatigue (p = 0.036) on presentation; prevalence of increased LDH (p = 0.003), CRP (p 202 = 0.008) and D-dimer (p = 0.021) were associated with a greater risk of critical illness (Table S5 203 in Appendix). author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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