Selected article for: "analysis effect and primary analysis effect"

Author: Ariel Izcovich; Martín Ragusa; Verónica Sanguine; Fernando Tortosa; Federico Espinosa; Camila Agnoletti; María Andrea Lavena Marzio; Agustín Bengolea; Ezequiel Saavedra; Hugo Norberto Catalano; Gabriel Rada
Title: Prognostic factors for severity and mortality in patients infected with COVID-19: A living systematic review protocol
  • Document date: 2020_4_11
  • ID: fqhyxejw_58
    Snippet: To explore the robustness of the estimates of effects of every prognostic factor and for every outcome we will perform the following additional analysis: Subgroup analysis: We will perform subgroup analysis according to the definition of severe COVID-19 infection (i.e respiratory failure vs respiratory distress syndrome vs ICU requirement). In case we identify significant differences between subgroups (test for interaction <0.05) we will report t.....
    Document: To explore the robustness of the estimates of effects of every prognostic factor and for every outcome we will perform the following additional analysis: Subgroup analysis: We will perform subgroup analysis according to the definition of severe COVID-19 infection (i.e respiratory failure vs respiratory distress syndrome vs ICU requirement). In case we identify significant differences between subgroups (test for interaction <0.05) we will report the results of individual subgroups separately. Sensitivity analysis: We will perform sensitivity analysis excluding high risk of bias studies and studies that did not report adjusted estimates. In cases where the effect estimates provided by the primary analysis and the sensitivity analysis significantly differ, we will either present the low risk of biasadjusted estimates or present the primary analysis estimates but rate down certainty of the evidence because of risk of bias.

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