dc.contributor.author | Harrison, Tyrone G | |
dc.contributor.author | Hemmelgarn, Brenda R | |
dc.contributor.author | James, Matthew T | |
dc.contributor.author | Sawhney, Simon | |
dc.contributor.author | Manns, Braden J | |
dc.contributor.author | Tonelli, Marcello | |
dc.contributor.author | Ruzycki, Shannon M | |
dc.contributor.author | Zarnke, Kelly B | |
dc.contributor.author | Wilson, Todd A | |
dc.contributor.author | McCaughey, Deirdre | |
dc.contributor.author | Ronksley, Paul E | |
dc.date.accessioned | 2023-03-10T11:23:01Z | |
dc.date.available | 2023-03-10T11:23:01Z | |
dc.date.issued | 2023-03-10 | |
dc.identifier.citation | Harrison , T G , Hemmelgarn , B R , James , M T , Sawhney , S , Manns , B J , Tonelli , M , Ruzycki , S M , Zarnke , K B , Wilson , T A , McCaughey , D & Ronksley , P E 2023 , ' Prediction of major postoperative events after non-cardiac surgery for people with kidney failure : derivation and internal validation of risk models ' , BMC Nephrology , vol. 24 , no. 1 , 49 . https://doi.org/10.1186/s12882-023-03093-6 | en |
dc.identifier.issn | 1471-2369 | |
dc.identifier.other | PURE: 229300907 | |
dc.identifier.other | PURE UUID: 017a18d2-096b-4700-83e3-8839c2ad3516 | |
dc.identifier.other | PubMed: 36894895 | |
dc.identifier.other | ORCID: /0000-0002-7960-4573/work/130882224 | |
dc.identifier.other | Scopus: 85149643248 | |
dc.identifier.uri | https://hdl.handle.net/2164/20270 | |
dc.description | Funding TGH was supported by a Kidney Research Scientist Core Education and National Training Program postdoctoral fellowship (co-sponsored by the Kidney Foundation of Canada and Canadian Institutes of Health Research) and the Clinician Investigator Program at the University of Calgary. BJM is supported by the Svare Chair in Health Economics. MT is supported by the David Freeze Chair in Health Services Research. MTJ was the principal investigator of an investigator-initiated research grant from Amgen, Canada, which is not related to this work. These funding sources had no role in study design, data collection, analysis, reporting, or the decision to submit for publication. | en |
dc.format.extent | 11 | |
dc.language.iso | eng | |
dc.relation.ispartof | BMC Nephrology | en |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en |
dc.subject | Kidney disease | en |
dc.subject | Perioperative | en |
dc.subject | Surgery | en |
dc.subject | Risk prediction | en |
dc.subject | outcomes | en |
dc.subject | R Medicine | en |
dc.subject | Supplementary Data | en |
dc.subject.lcc | R | en |
dc.title | Prediction of major postoperative events after non-cardiac surgery for people with kidney failure : derivation and internal validation of risk models | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Health Data Science | en |
dc.contributor.institution | University of Aberdeen.Centre for Health Data Science | en |
dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1186/s12882-023-03093-6 | |
dc.identifier.vol | 24 | en |
dc.identifier.iss | 1 | en |