Selected article for: "complicated disease and meta analysis"

Author: Eric Anthony Coomes; Hourmazd Haghbayan
Title: Interleukin-6 in COVID-19: A Systematic Review and Meta-Analysis
  • Document date: 2020_4_3
  • ID: nadcsiii_16
    Snippet: Results are described and summarized quantitatively and semi-qualitatively; for data deemed adequately homogenous in terms of patient characteristics, interventions, and clinical outcomes, meta-analysis was undertaken using random effects models. For statistical homogeneity, medians and IQRs were converted to means with SDs to maximize the number of studies eligible for meta-analysis.27 For such continuous data, we computed ratio of means (RoM) f.....
    Document: Results are described and summarized quantitatively and semi-qualitatively; for data deemed adequately homogenous in terms of patient characteristics, interventions, and clinical outcomes, meta-analysis was undertaken using random effects models. For statistical homogeneity, medians and IQRs were converted to means with SDs to maximize the number of studies eligible for meta-analysis.27 For such continuous data, we computed ratio of means (RoM) for each study and undertook meta-analysis via generic inverse variance methods (DerSimonian and Laird) to produce pooled measures of association, corresponding 95% confidence intervals (95%CI), and forest plots.25,28,29 Pre-specified subgroup analyses were conducted in regard to individual sub-definitions of complicated disease (as defined by primary studies investigators).

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