Ontology highlight
ABSTRACT:
SUBMITTER: Wynants L
PROVIDER: S-EPMC7222643 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
Wynants Laure L Van Calster Ben B Collins Gary S GS Riley Richard D RD Riley Richard D RD Heinze Georg G Schuit Ewoud E Bonten Marc M J MMJ Dahly Darren L DL Dahly Darren L DL Damen Johanna A A JAA Debray Thomas P A TPA de Jong Valentijn M T VMT De Vos Maarten M Dhiman Paul P Haller Maria C MC Harhay Michael O MO Henckaerts Liesbet L Heus Pauline P Kammer Michael M Kammer Michael M Kreuzberger Nina N Lohmann Anna A Luijken Kim K Ma Jie J Martin Glen P GP McLernon David J DJ Andaur Navarro Constanza L CL Reitsma Johannes B JB Reitsma Johannes B JB Sergeant Jamie C JC Shi Chunhu C Skoetz Nicole N Smits Luc J M LJM Snell Kym I E KIE Sperrin Matthew M Spijker René R Steyerberg Ewout W EW Takada Toshihiko T Tzoulaki Ioanna I van Kuijk Sander M J SMJ van Bussel Bas B van der Horst Iwan C C ICC van Royen Florien S FS Verbakel Jan Y JY Wallisch Christine C Wilkinson Jack J Wolff Robert R Hooft Lotty L Moons Karel G M KGM van Smeden Maarten M
BMJ (Clinical research ed.) 20200407
<h4>Objective</h4>To review and appraise the validity and usefulness of 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 covid-19 infection or being admitted to hospital with the disease.<h4>Design</h4>Living systematic review and critical appraisal by the COVID-PRECISE (Precise Risk Estimation ...[more]