Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Abstract
null Objective null To review and appraise the validity and usefulness of published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of covid-19 infection or being admitted to hospital with the disease. null Design null Living systematic review and critical...
Paper Details
Title
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Published Date
Apr 7, 2020
Journal
Volume
369
Issue
2020
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History