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dc.contributor.authorSawhney, Simon
dc.contributor.authorTan, Zhi
dc.contributor.authorBlack, Corri
dc.contributor.authorMarks, Angharad
dc.contributor.authorMcLernon, David J
dc.contributor.authorRonksley , Paul
dc.contributor.authorJames, Matthew T
dc.date.accessioned2021-06-24T11:41:01Z
dc.date.available2021-06-24T11:41:01Z
dc.date.issued2021-07
dc.identifier.citationSawhney , S , Tan , Z , Black , C , Marks , A , McLernon , D J , Ronksley , P & James , M T 2021 , ' Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury ' , American Journal of Kidney Diseases , vol. 78 , no. 1 , pp. 28-37 . https://doi.org/10.1053/j.ajkd.2020.12.008en
dc.identifier.issn0272-6386
dc.identifier.otherPURE: 185236904
dc.identifier.otherPURE UUID: 997d0f2e-6e60-47ed-9dd3-0ecb987c2b01
dc.identifier.otherORCID: /0000-0001-8905-2429/work/88320366
dc.identifier.otherORCID: /0000-0003-1910-462X/work/88320637
dc.identifier.otherScopus: 85107720553
dc.identifier.otherPubMed: 33428996
dc.identifier.otherWOS: 000663932600009
dc.identifier.otherORCID: /0000-0002-7960-4573/work/97666995
dc.identifier.urihttps://hdl.handle.net/2164/16733
dc.descriptionWellcome Trust Research Training Fellowship: 102729/Z/13/Z Academy of Medical Sciences Starter Grant for Clinical Lecturers: SGL020\1076 We acknowledge the support of the Grampian Data Safe Haven (DaSH) facility within the Aberdeen Centre for Health Data Science and the associated financial support of the University of Aberdeen, and NHS Research Scotland (through NHS Grampian investment in DaSH). More information is available at the DaSH website: http://www.abdn.ac.uk/iahs/facilities/grampian-data-safe-haven.phpen
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofAmerican Journal of Kidney Diseasesen
dc.rightsUnder a Creative Commons license https://creativecommons.org/licenses/by/4.0/en
dc.subjectacute kidney injury (AKI)en
dc.subjectchronic kidney disease (CKD)en
dc.subjectCKD progressionen
dc.subjectCKD surveillanceen
dc.subjectdeathen
dc.subjectfollow-up careen
dc.subjecthospital readmissionen
dc.subjectmodel-guided decisionsen
dc.subjectmortalityen
dc.subjectnet benefiten
dc.subjectpost-AKI careen
dc.subjectpost-discharge monitoringen
dc.subjectrisk predictionen
dc.subjectR Medicineen
dc.subjectNephrologyen
dc.subjectWellcome Trusten
dc.subject102729/Z/13/Zen
dc.subjectSupplementary Informationen
dc.subjectTables/Figures JAen
dc.subject.lccRen
dc.titleValidation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injuryen
dc.typeJournal articleen
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.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre For Health Data Scienceen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1053/j.ajkd.2020.12.008
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85107720553&partnerID=8YFLogxKen
dc.identifier.vol78en
dc.identifier.iss1en


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