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dc.contributor.authorTang, Benjaminen_AU
dc.contributor.authorShojaei, Maryamen_AU
dc.contributor.authorWang, Yaen_AU
dc.contributor.authorNalos, Mareken_AU
dc.contributor.authorMclean, Anthonyen_AU
dc.contributor.authorAfrasiabi, Alien_AU
dc.contributor.authorKwan, Tim Nen_AU
dc.contributor.authorKuan, Win Senen_AU
dc.contributor.authorZerbib, Yoannen_AU
dc.contributor.authorHerwanto, Velmaen_AU
dc.contributor.authorGunawan, Gunawanen_AU
dc.contributor.authorBedognetti, Davideen_AU
dc.contributor.authorZoppoli, Gabrieleen_AU
dc.contributor.authorBallestrero, Albertoen_AU
dc.contributor.authorRinchai, Daren_AU
dc.date.accessioned2021-02-09T22:29:38Z
dc.date.available2021-02-09T22:29:38Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/2123/24455
dc.description.abstractINTRODUCTION: Accurate triage is an important first step to effectively manage the clinical treatment of severe cases in a pandemic outbreak. In the current COVID-19 global pandemic, there is a lack of reliable clinical tools to assist clinicians to perfoen_AU
dc.language.isoenen_AU
dc.subjectCOVID-19en_AU
dc.subjectCoronavirusen_AU
dc.titleProspective validation study of prognostic biomarkers to predict adverse outcomes in patients with COVID-19: a study protocolen_AU
dc.typeArticleen_AU
dc.identifier.doi10.1136/bmjopen-2020-044497


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