Evidence map›Paper›PMID 41357600›Full record

ArticleFrontiers in oncology2025

Frailty trajectories and their determinants in cancer patients undergoing immunotherapy: a prospective longitudinal study.

Wei Zhu, Juan Ji, Yiqun Yang

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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wei Zhu *Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Juan Ji *Wound Care Clinic, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yiqun YangDepartment of Nursing, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Frailty can impact the prognosis of cancer patients. We aimed to elucidate longitudinal frailty trajectories in cancer patients undergoing immunotherapy and to analyze the factors influencing these trajectories. Methods: A prospective observational cohort study was conducted among cancer patients scheduled for immunotherapy from December 2022 to November 2023. Sociodemographic and disease-related information was collected. The Chinese version of the Tilburg Frailty Indicator, the Activities of Daily Living scale, the Hospital Anxiety and Depression Scale, the Nutritional Risk Screening 2002, and the Social Support Rating Scale were used to assess patients before the first immunotherapy session (T Results: A total of 205 patients completed the treatment cycles and were included in the analysis. The overall frailty score demonstrated significant changes (p = 0.037), with an initial increase followed by a subsequent decrease during the six treatment cycles. Four distinct frailty trajectories were identified: the "persistently non-frail group" (Class 1), the "persistently frail group" (Class 2), the "frailty deterioration-remission group" (Class 3), and the "frailty remission-deterioration group" (Class 4). Compared with Class 1, patients in Class 2 were more likely to have nutritional risk (odds ratio [OR] = 4.173, 95% confidence interval [CI]: 1.637-12.664) and live in rural areas (OR = 6.869, 95% CI: 2.589-18.223), while the likelihood of being male was significantly lower (OR = 0.365, 95%, CI: 0.136-0.982). In Class 3, more patients had depression (OR = 6.663, 95% CI: 2.266-19.592), had low social support (OR = 9.483, 95% CI: 1.493-60.249), and were dependent on their spouses (OR = 5.728, 95% CI: 1.584-20.716) or their children for care (OR = 7.847, 95% CI: 1.994-30.885); however, being male and the presence of anxiety were associated with lower odds (OR = 0.316, 95% CI: 0.122-0.815; OR = 0.281, 95% CI: 0.100-0.789, respectively). Patients with distant tumor metastasis (OR = 12.712, 95% CI: 2.930-53.988), pre-treatment frailty (OR = 8.427, 95% CI: 1.973-36.003), and no history of chemotherapy (OR = 0.182, 95% CI: 0.033-0.994) were more likely to be in Class 4. Conclusions: There was significant heterogeneity in the frailty trajectories of cancer patients undergoing immunotherapy. Identifying factors associated with different frailty trajectories is crucial for implementing targeted interventions to improve prognosis in these patients.

Indexed as

cancerfrailtyimmune checkpoint inhibitorsimmunotherapyinfluencing factorstrajectories

Identifiers

PMID41357600
PMCPMC12678075

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