Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

Wynants, Laure; Van Calster, Ben; S Collins, Gary; D Riley, Richard; Heinze, Georg; Schuit, Ewoud; Albu, Elena; Arshi, Banafsheh; Bellou, Vanesa; M J Bonten, Marc; L Dahly, Darren; A Damen, Johanna; P A Debray, Thomas; M T de Jong, Valentijn; De Vos, Maarten; Dhiman, Paula; Ensor, Joie; Gao, Shan; C Haller, Maria; O Harhay, Michael; Henckaerts, Liesbet; Heus, Pauline; Hoogland, Jeroen; Hudda, Mohammed; Jenniskens, Kevin; Kammer, Michael; Kreuzberger, Nina; Lohmann, Anna; Levis, Brooke; Luijken, Kim; Ma, Jie; P Martin, Glen; J McLernon, David; L Andaur Navarro, Constanza; B Reitsma, Johannes; C Sergeant, Jamie; Shi, Chunhu; Skoetz, Nicole; J M Smits, Luc; I E Snell, Kym; Sperrin, Matthew; Spijker, René; W Steyerberg, Ewout; Takada, Toshihiko; Tzoulaki, Ioanna; M J van Kuijk, Sander; C T van Bussel, Bas; C C van der Horst, Iwan; Reeve, Kelly; S van Royen, Florien; Y Verbakel, Jan; Wallisch, Christine; Wilkinson, Jack; Wolff, Robert; Hooft, Lotty; G M Moons, Karel; van Smeden, Maarten

doi:10.1136/bmj.m1328

Public

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

Shared by NobleBlocks on Apr 7, 2020 • 12:00 AM UTC

Authors:

Laure Wynants

Ben Van Calster

Gary S Collins

Abstract

Abstract Objective To review and appraise the validity and usefulness of published and preprint reports of prediction models 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 or dying with...

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