Development and validation of a risk prediction model for acute care use among older advanced cancer patients on clinical trials

A limited set of 4 variables predicted a threefold increased risk of acute care use in older patients with advanced cancer. Personalized interventions aimed at preventing acute care use could improve the quality of cancer care.

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Publication Details

Journal
JNCI Journal of the National Cancer Institute
Published
2025-11-25
DOI
https://doi.org/10.1093/jnci/djaf342
Citations
1
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
1.22
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article

Development and validation of a risk prediction model for acute care use among older advanced cancer patients on clinical trials

Cathee Till, Michael LeBlanc, Joseph M. Unger, Dawn L. Hershman et al.
1 citations
JNCI Journal of the National Cancer Institute
Frailty in Older Adults
1.22
article

Development and validation of a risk prediction model for acute care use among older advanced cancer patients on clinical trials

Cathee Till, Michael LeBlanc, Joseph M. Unger, Dawn L. Hershman, Scott Ramsey
article en
1 citations

Abstract

A limited set of 4 variables predicted a threefold increased risk of acute care use in older patients with advanced cancer. Personalized interventions aimed at preventing acute care use could improve the quality of cancer care.

JNCI Journal of the National Cancer Institute
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), Columbia University Irving Medical Center (US), Fred Hutch Cancer Center (US), Columbia University (US)
Openalex Percentile: Top 16%
Frailty in Older Adults
1.22
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Development and validation of a risk prediction model for acute care use among older advanced cancer patients on clinical trials — Cathee Till, Michael LeBlanc, et al. · JNCI Journal of the National Cancer Institute (2025) | TGRS Research Map | TGRS