Evaluation of Prognostic and Predictive Models in the Oncology Clinic.
Life cycle
Model
Oncology
Personalised
Prediction
Radiotherapy
Journal
Clinical oncology (Royal College of Radiologists (Great Britain))
ISSN: 1433-2981
Titre abrégé: Clin Oncol (R Coll Radiol)
Pays: England
ID NLM: 9002902
Informations de publication
Date de publication:
02 2022
02 2022
Historique:
received:
03
09
2021
revised:
19
11
2021
accepted:
25
11
2021
pubmed:
20
12
2021
medline:
28
1
2022
entrez:
19
12
2021
Statut:
ppublish
Résumé
Predictive and prognostic models hold great potential to support clinical decision making in oncology and could ultimately facilitate a paradigm shift to a more personalised form of treatment. While a large number of models relevant to the field of oncology have been developed, few have been translated into clinical use and assessment of clinical utility is not currently considered a routine part of model development. In this narrative review of the clinical evaluation of prediction models in oncology, we propose a high-level process diagram for the life cycle of a clinical model, encompassing model commissioning, clinical implementation and ongoing quality assurance, which aims to bridge the gap between model development and clinical implementation.
Identifiants
pubmed: 34922799
pii: S0936-6555(21)00441-6
doi: 10.1016/j.clon.2021.11.022
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102-113Subventions
Organisme : Cancer Research UK
ID : C147/A25254
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C1994/A28701
Pays : United Kingdom
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.