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dc.contributor.authorWynants, Laure
dc.contributor.authorVan Calster, Ben
dc.contributor.authorCollins, Gary S
dc.contributor.authorRiley, Richard D
dc.contributor.authorHeinze, Georg
dc.contributor.authorSchuit, Ewoud
dc.contributor.authorBonten, Marc M J
dc.contributor.authorDahly, Darren L
dc.contributor.authorDamen, Johanna A
dc.contributor.authorDebray, Thomas P A
dc.contributor.authorde Jong, Valentijn M T
dc.contributor.authorDe Vos, Maarten
dc.contributor.authorDhiman, Paula
dc.contributor.authorHaller, Maria C
dc.contributor.authorHarhay, Michael O
dc.contributor.authorHenckaerts, Liesbet
dc.contributor.authorHeus, Pauline
dc.contributor.authorKammer, Michael
dc.contributor.authorKreuzberger, Nina
dc.contributor.authorLohmann, Anna
dc.contributor.authorLuijken, Kim
dc.contributor.authorMa, Jie
dc.contributor.authorMartin, Glen P
dc.contributor.authorMcLernon, David J
dc.contributor.authorAndaur Navarro, Constanza L
dc.contributor.authorReitsma, Johannes B
dc.contributor.authorSergeant, Jamie C
dc.contributor.authorShi, Chunhu
dc.contributor.authorSkoetz, Nicole
dc.contributor.authorSmits, Luc J M
dc.contributor.authorSnell, Kym I E
dc.contributor.authorSperrin, Matthew
dc.contributor.authorSpijker, René
dc.contributor.authorSteyerberg, Ewout W
dc.contributor.authorTakada, Toshihiko
dc.contributor.authorTzoulaki, Ioanna
dc.contributor.authorvan Kuijk, Sander M J
dc.contributor.authorvan Bussel, Bas C T
dc.contributor.authorvan der Horst, Iwan C C
dc.contributor.authorvan Royen, Florien S
dc.contributor.authorVerbakel, Jan Y
dc.contributor.authorWallisch, Christine
dc.contributor.authorWilkinson, Jack
dc.contributor.authorWolff, Robert
dc.contributor.authorHooft, Lotty
dc.contributor.authorMoons, Karel G M
dc.contributor.authorvan Smeden, Maarten
dc.date.accessioned2021-02-11T10:37:01Z
dc.date.available2021-02-11T10:37:01Z
dc.date.issued2020-04-07
dc.identifier187585631
dc.identifierdc5ef416-5830-4932-a9af-d9cca895d422
dc.identifier85083072038
dc.identifier32265220
dc.identifier000527703000001
dc.identifier.citationWynants , L , Van Calster , B , Collins , G S , Riley , R D , Heinze , G , Schuit , E , Bonten , M M J , Dahly , D L , Damen , J A , Debray , T P A , de Jong , V M T , De Vos , M , Dhiman , P , Haller , M C , Harhay , M O , Henckaerts , L , Heus , P , Kammer , M , Kreuzberger , N , Lohmann , A , Luijken , K , Ma , J , Martin , G P , McLernon , D J , Andaur Navarro , C L , Reitsma , J B , Sergeant , J C , Shi , C , Skoetz , N , Smits , L J M , Snell , K I E , Sperrin , M , Spijker , R , Steyerberg , E W , Takada , T , Tzoulaki , I , van Kuijk , S M J , van Bussel , B C T , van der Horst , I C C , van Royen , F S , Verbakel , J Y , Wallisch , C , Wilkinson , J , Wolff , R , Hooft , L , Moons , K G M & van Smeden , M 2020 , ' Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal ' , BMJ , vol. 369 , m1328 . https://doi.org/10.1136/bmj.m1328en
dc.identifier.issn0959-8146
dc.identifier.otherRIS: urn:08FE651D58597E4D472410E0C55EBBFB
dc.identifier.otherORCID: /0000-0001-8905-2429/work/90172524
dc.identifier.urihttps://hdl.handle.net/2164/15830
dc.descriptionReaders’ note This article is a living systematic review that will be updated to reflect emerging evidence. Updates may occur for up to two years from the date of original publication. This version is update 3 of the original article published on 7 April 2020 (BMJ 2020;369:m1328). Previous updates can be found as data supplements (https://www.bmj.com/content/369/bmj.m1328/related#datasupp). When citing this paper please consider adding the update number and date of access for clarity. Funding: LW, BVC, LH, and MDV acknowledge specific funding for this work from Internal Funds KU Leuven, KOOR, and the COVID-19 Fund. LW is a postdoctoral fellow of Research Foundation-Flanders (FWO) and receives support from ZonMw (grant 10430012010001). BVC received support from FWO (grant G0B4716N) and Internal Funds KU Leuven (grant C24/15/037). TPAD acknowledges financial support from the Netherlands Organisation for Health Research and Development (grant 91617050). VMTdJ was supported by the European Union Horizon 2020 Research and Innovation Programme under ReCoDID grant agreement 825746. KGMM and JAAD acknowledge financial support from Cochrane Collaboration (SMF 2018). KIES is funded by the National Institute for Health Research (NIHR) School for Primary Care Research. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care. GSC was supported by the NIHR Biomedical Research Centre, Oxford, and Cancer Research UK (programme grant C49297/A27294). JM was supported by the Cancer Research UK (programme grant C49297/A27294). PD was supported by the NIHR Biomedical Research Centre, Oxford. MOH is supported by the National Heart, Lung, and Blood Institute of the United States National Institutes of Health (grant R00 HL141678). ICCvDH and BCTvB received funding from Euregio Meuse-Rhine (grant Covid Data Platform (coDaP) interref EMR187). The funders played no role in study design, data collection, data analysis, data interpretation, or reporting.en
dc.format.extent16
dc.format.extent511014
dc.language.isoeng
dc.relation.ispartofBMJen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectCOVID-19en
dc.subjectCoronavirusen
dc.subjectCoronavirus Infections/diagnosisen
dc.subjectDisease Progressionen
dc.subjectHospitalization/statistics & numerical dataen
dc.subjectHumansen
dc.subjectModels, Theoreticalen
dc.subjectMultivariate Analysisen
dc.subjectPandemicsen
dc.subjectPneumonia, Viral/diagnosisen
dc.subjectPrognosisen
dc.subjectRISKen
dc.subjectEXPLANATIONen
dc.subjectR Medicineen
dc.subjectGeneral Medicineen
dc.subjectCancer Research UKen
dc.subjectC49297/ A27294en
dc.subjectC49297/A27294en
dc.subjectNational Institute for Health Research (NIHR)en
dc.subjectSupplementary Dataen
dc.subject.lccRen
dc.titlePrediction models for diagnosis and prognosis of covid-19: : systematic review and critical appraisalen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.description.statusPeer revieweden
dc.identifier.doi10.1136/bmj.m1328
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85083072038&partnerID=8YFLogxKen


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