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

Laure Wynants*, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Marc M J Bonten, Darren L Dahly, Johanna A A Damen, Thomas P A Debray, Valentijn M T de Jong, Maarten De Vos, Paul Dhiman, Maria C Haller, Michael O Harhay, Liesbet Henckaerts, Pauline Heus, Michael Kammer, Nina Kreuzberger, Anna LohmannKim Luijken, Jie Ma, Glen P Martin, David J McLernon, Constanza L Andaur, Johannes B Reitsma, Jamie C Sergeant, Chunhu Shi, Nicole Skoetz, Luc J M Smits, Kym I E Snell, Matthew Sperrin, René Spijker, Ewout W Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander M J van Kuijk, Bas van Bussel, Florien S van Royen, Jan Y Verbakel, Christine Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel G M Moons, Maarten van Smeden

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

903 Citations (Web of Science)
Original languageEnglish
Article numberm1328
Number of pages11
JournalBMJ (e)
Volume369
DOIs
Publication statusPublished - 7 Apr 2020

Keywords

  • COVID-19
  • Coronavirus
  • Coronavirus Infections/diagnosis
  • Disease Progression
  • Hospitalization/statistics & numerical data
  • Humans
  • Models, Theoretical
  • Multivariate Analysis
  • Pandemics
  • Pneumonia, Viral/diagnosis
  • Prognosis

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