作者
Laure Wynants, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Elena Albu, Banafsheh Arshi, Vanesa Bellou, Marc MJ Bonten, Darren L Dahly, Johanna A Damen, Thomas PA Debray, Valentijn MT de Jong, Maarten De Vos, Paula Dhiman, Joie Ensor, Shan Gao, Maria C Haller, Michael O Harhay, Liesbet Henckaerts, Pauline Heus, Jeroen Hoogland, Mohammed Hudda, Kevin Jenniskens, Michael Kammer, Nina Kreuzberger, Anna Lohmann, Brooke Levis, Kim Luijken, Jie Ma, Glen P Martin, David J McLernon, Constanza L Andaur Navarro, Johannes B Reitsma, Jamie C Sergeant, Chunhu Shi, Nicole Skoetz, Luc JM Smits, Kym IE Snell, Matthew Sperrin, René Spijker, Ewout W Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander MJ van Kuijk, Bas CT van Bussel, Iwan CC van der Horst, Kelly Reeve, Florien S van Royen, Jan Y Verbakel, Christine Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel GM Moons, Maarten van Smeden
发表日期
2020/4/7
来源
bmj
卷号
369
出版商
British Medical Journal Publishing Group
简介
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 the disease.
Design
Living systematic review and critical appraisal by the covid-PRECISE (Precise Risk Estimation to optimise covid-19 Care for Infected or Suspected patients in diverse sEttings) group.
Data sources
PubMed and Embase through Ovid, up to 17 February 2021, supplemented with arXiv, medRxiv, and bioRxiv up to 5 May 2020.
Study selection
Studies that developed or validated a multivariable covid-19 related prediction model.
Data extraction
At least two authors independently extracted data using the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist; risk …
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