Prediction of Survival in Patients with Advanced Cancer: A Narrative Review and Future Research Priorities.
Artificial intelligence
Decision making
Education
Prognosis
Survival analysis
Journal
Journal of hospice and palliative care
ISSN: 2765-3080
Titre abrégé: J Hosp Palliat Care
Pays: Korea (South)
ID NLM: 9918419183806676
Informations de publication
Date de publication:
01 Mar 2023
01 Mar 2023
Historique:
medline:
27
9
2023
pubmed:
27
9
2023
entrez:
27
9
2023
Statut:
ppublish
Résumé
This paper aimed to summarize the current situation of prognostication for patients with an expected survival of weeks or months, and to clarify future research priorities. Prognostic information is essential for patients, their families, and medical professionals to make end-of-life decisions. The clinician's prediction of survival is often used, but this may be inaccurate and optimistic. Many prognostic tools, such as the Palliative Performance Scale, Palliative Prognostic Index, Palliative Prognostic Score, and Prognosis in Palliative Care Study, have been developed and validated to reduce the inaccuracy of the clinician's prediction of survival. To date, there is no consensus on the most appropriate method of comparing tools that use different formats to predict survival. Therefore, the feasibility of using prognostic scales in clinical practice and the information wanted by the end users can determine the appropriate prognostic tool to use. We propose four major themes for further prognostication research: (1) functional prognosis, (2) outcomes of prognostic communication, (3) artificial intelligence, and (4) education for clinicians.
Identifiants
pubmed: 37753320
doi: 10.14475/jhpc.2023.26.1.1
pii: jhpc-26-1-1
pmc: PMC10519719
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
1-6Informations de copyright
Copyright © 2023 by Korean Society for Hospice and Palliative Care.
Déclaration de conflit d'intérêts
CONFLICT OF INTEREST No potential conflict of interest relevant to this article was reported.
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