Evidence map›Paper›PMID 41525321›Full record

ArticleThe oncologist2026

High burden of geriatric assessment impairments across the adult age spectrum in patients with cancer.

Chin-Tung Nien, Chieh-Ying Chang, Chang-Hsien Lu, Kun-Yun Yeh, Yu-Shin Hung, Wen-Chi Chou

Abstract readMulticenter Study
In one paragraph

Article in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chin-Tung NienDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Linkou and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Chieh-Ying ChangDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Linkou and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Chang-Hsien LuDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Chiayi, Chiayi 600, Taiwan.
Kun-Yun YehDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Keelung, Keelung 204, Taiwan.
Yu-Shin HungDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Linkou and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Wen-Chi ChouDepartment of Hematology and Oncology, Chang Gung Memorial Hospital at Linkou and College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-0361-4548

Funding

Taiwan National Science and Technology Council 111-2314-B-182A-162Taiwan National Science and Technology Council NSTC 112-2314-B-182A-152Taiwan National Science and Technology Council NSTC 113-2314-B-182A-147
6 · The paper itself

Abstract

backgroundThe age-specific distribution of frailty and its domain-level characteristics remain poorly understood across the adult population of patients with cancer. We aimed to quantify the frailty prevalence and geriatric assessment (GA) impairment patterns in adults and to examine their prognostic relevance in newly diagnosed patients with cancer. MATERIAL AND

methodsThis multicenter, cross-sectional cohort enrolled 2,501 adults (≥20 years) before therapy in 2021-2023. GA covered 8 domains (function, comorbidity, cognition, mood, nutrition, polypharmacy, falls, and social support). Patients were grouped into 6 age bands (20-39 to ≥80) and labeled fit (0 deficits), prefrail (1), or frail (≥2). We analyzed age-specific geriatric impairment patterns and overall survival (OS).

resultsThe mean number of GA deficits increased significantly across the 6 ordered age bands. Frailty was common and increased with age: 40.0% (20-39), 42.3% (40-49), 56.2% (70-79), and 74.4% (≥80). Malnutrition was the most frequent deficit (59.1% overall), affecting 51% of patients aged 20-39 years, peaking at 63.8% in the 70-79-year cohort. Older age groups showed steeper increases in comorbidities, cognitive impairment, and functional decline. Polypharmacy and depressed mood were frequent, but varied less with age; inadequate social support was uniformly low. In multivariable models, prefrailty and frailty predicted worse OS. Age-stratified analyses of 40-49, 50-59, and 70-79-year cohorts showed similar associations.

conclusionFrailty is prevalent across adults of all ages with distinct, age-associated GA profiles. Nutritional deficits were the most prevalent impairment even among younger adults, whereas functional, comorbidity, and cognitive burdens escalate in older patients with cancer. Routine pretreatment GA for all adults can identify vulnerabilities and enable age-tailored supportive interventions.

Indexed as

FrailtyGeriatric AssessmentNeoplasmsAdultAgedAged, 80 and overComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceYoung Adultage factorsgeriatric assessmentneoplasmpolypharmacyprevalence

Identifiers

PMID41525321
PMCPMC12861979

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.