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

OBJECTIVE: To review and critically appraise published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at increased risk of b...

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Detalles Bibliográficos
Autores principales: Wynants, Laure, Van Calster, Ben, Collins, Gary S, Riley, Richard D, Heinze, Georg, Schuit, Ewoud, Bonten, Marc M J, Damen, Johanna A A, Debray, Thomas P A, De Vos, Maarten, Dhiman, Paula, Haller, Maria C, Harhay, Michael O, Henckaerts, Liesbet, Kreuzberger, Nina, Lohmann, Anna, Luijken, Kim, Ma, Jie, Andaur Navarro, Constanza L, Reitsma, Johannes B, Sergeant, Jamie C, Shi, Chunhu, Skoetz, Nicole, Smits, Luc J M, Snell, Kym I E, Sperrin, Matthew, Spijker, René, Steyerberg, Ewout W, Takada, Toshihiko, van Kuijk, Sander M J, van Royen, Florien S, Wallisch, Christine, Hooft, Lotty, Moons, Karel G M, van Smeden, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222643/
https://www.ncbi.nlm.nih.gov/pubmed/32265220
http://dx.doi.org/10.1136/bmj.m1328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222643/
https://www.ncbi.nlm.nih.gov/pubmed/32265220
http://dx.doi.org/10.1136/bmj.m1328

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