Korean J Hosp Palliat Care.  2023 Mar;26(1):1-6. 10.14475/jhpc.2023.26.1.1.

Prediction of Survival in Patients with Advanced Cancer: A Narrative Review and Future Research Priorities

Affiliations
  • 1Department of Palliative Medicine, Takeda General Hospital, Aizu Wakamatsu, Japan
  • 2Department of Palliative Medicine, Tohoku University School of Medicine, Sendai, Japan
  • 3Department of Palliative and Supportive Care, Institute of Medicine, University of Tsukuba, Tsukuba, Japan
  • 4Department of Palliative and Supportive Care, Seirei Mikatahara General Hospital, Hamamatsu, Japan
  • 5Department of Palliative Care, Senri Chuo Hospital, Toyonaka, Japan
  • 6Department of Family Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
  • 7Department of Medicine, Dongguk University Medical School, Seoul, Korea

Abstract

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 endof-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.

Keyword

Prognosis; Survival analysis; Decision making,; Artificial intelligence; Education
Full Text Links
  • KJHPC
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr