Risk scores in anaesthesia: the future is hard to predict.

anaesthesia modelling perioperative medicine perioperative risk risk prediction

Journal

BJA open
ISSN: 2772-6096
Titre abrégé: BJA Open
Pays: England
ID NLM: 9918419157906676

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 22 06 2022
accepted: 29 06 2022
medline: 17 8 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: epublish

Résumé

External validation helps to assess whether a given risk prediction model will perform well in a target population. Validation is an important step in maintaining the utility of risk prediction models, as their ability to provide reliable risk estimates will deteriorate over time (calibration drift).

Identifiants

pubmed: 37588581
doi: 10.1016/j.bjao.2022.100027
pii: S2772-6096(22)00026-0
pmc: PMC10430853
doi:

Types de publication

Editorial

Langues

eng

Pagination

100027

Informations de copyright

© 2022 The Authors.

Références

Br J Surg. 2014 Dec;101(13):1774-83
pubmed: 25388883
BMJ. 2017 May 23;357:j2099
pubmed: 28536104
BMJ. 2016 May 16;353:i2416
pubmed: 27184143
BMC Med Res Methodol. 2022 Apr 8;22(1):101
pubmed: 35395724
Br J Surg. 1991 Mar;78(3):355-60
pubmed: 2021856
NPJ Digit Med. 2022 Jan 10;5(1):2
pubmed: 35013569
J Clin Epidemiol. 2020 Oct;126:207-216
pubmed: 32712176
Epidemiology. 2010 Jan;21(1):128-38
pubmed: 20010215
Epidemiology. 2021 Mar 1;32(2):189-193
pubmed: 33323747
J Am Coll Surg. 2013 Nov;217(5):833-42.e1-3
pubmed: 24055383
Eur J Cardiothorac Surg. 2018 Aug 1;54(2):203-208
pubmed: 29741602
Anaesthesia. 2019 Jan;74 Suppl 1:7-12
pubmed: 30604421
J Biomed Inform. 2020 Dec;112:103611
pubmed: 33157313
BMC Med. 2015 Jan 06;13:1
pubmed: 25563062
Diagn Progn Res. 2021 Jan 11;5(1):1
pubmed: 33431065
Br J Anaesth. 2018 Oct;121(4):739-748
pubmed: 30236236

Auteurs

Daniel James Drayton (DJ)

Leeds Institute for Data Analytics, Leeds, UK.

Michael Ayres (M)

Leeds Institute of Medical Research, Leeds, UK.

Samuel D Relton (SD)

Leeds Institute of Health Science, University of Leeds, Leeds, UK.

Matthew Sperrin (M)

Division of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK.

Marlous Hall (M)

Leeds Institute for Data Analytics, Leeds, UK.

Classifications MeSH