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_63
Snippet: An artificial intelligence algorithm deployed in the Coronavirus/COVID-19 topic of the L·OVE platform ( https://app.iloveevidence.com/loves/5e6fdb9669c00e4ac072701d ) will provide instant notification of articles with a high likelihood to be eligible. The authors will review these and will decide upon inclusion, and will update the living web version of the review accordingly. We will consider resubmission to a journal if there is a change in th.....
Document: An artificial intelligence algorithm deployed in the Coronavirus/COVID-19 topic of the L·OVE platform ( https://app.iloveevidence.com/loves/5e6fdb9669c00e4ac072701d ) will provide instant notification of articles with a high likelihood to be eligible. The authors will review these and will decide upon inclusion, and will update the living web version of the review accordingly. We will consider resubmission to a journal if there is a change in the direction of the effect on the critical outcomes or a substantial modification to the certainty of the evidence. This review is part of a larger project set up to produce multiple parallel systematic reviews relevant to COVID-19 [ 12 ] .
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