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Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 ap...

Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 ap...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ffd26860439406f82c9347256d38ee4

Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 approved]

Publication information

Publisher

F1000 Research Ltd

More information

Scope and Contents

Contents

Background: The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease.
Objective: To identify the predictors associated with poor clinical outcomes in patients with COVID-19.
Methods: Relevant articles from PubMed, Embase, Co...

Alternative Titles

Full title

Predictors of COVID-19 severity: a systematic review and meta-analysis [version 1; peer review: 2 approved]

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3ffd26860439406f82c9347256d38ee4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ffd26860439406f82c9347256d38ee4

Other Identifiers

ISSN

2046-1402

E-ISSN

2046-1402

DOI

10.12688/f1000research.26186.1

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