Evidence map›Paper›PMID 42720908›Full record

ArticleJournal of cancer survivorship : research and practice2026

Association between daily step counts and frailty trajectory classes in lung cancer patients undergoing radiotherapy: a prospective longitudinal study.

Jiang Zhang, Jiang Wu, Song Li, Xiaoyan Wu, Lingyun Ran, Xijuan Zhao

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Article in Journal of cancer survivorship : research and practice, 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiang Zhang *Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan Province, China.
Jiang Wu *Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan Province, China.
Song Li *Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan Province, China.
Xiaoyan WuDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan Province, China.
Lingyun RanNursing School of Kunming Medical University, Kunming, Yunnan Province, China. ranlingyun@kmmu.edu.cn.
Xijuan ZhaoDepartment of Oncology, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China. 2051814334@qq.com.

Funding

the 2025 Nursing Special Fund of Kunming Medical University 2025KYHLZXSK15the 2025 Nursing Special Fund of Kunming Medical University 2025KYHLZXZK09the 2025 Yunnan Province Health Sector Medical Discipline Leader Program-Specialized Nursing D-2025044the Research Fund of the Chinese Nursing Association ZHKYQ202312the Scientific Research Fund of the Yunnan Provincial Department of Education 2026J0359the Yunnan Provincial Department of Education 2026J0335
6 · The paper itself

Abstract

purposeTo characterize frailty trajectories in patients undergoing radiotherapy with lung cancer, identify factors associated with trajectory membership, and examine the association between daily step counts and frailty trajectories during radiotherapy.

methodsIn this prospective longitudinal study, daily step counts were collected via the WeChat Step Mini-program from the start to the end of radiotherapy. Frailty was assessed via the Frailty Phenotype Scale before radiotherapy, at the end of radiotherapy, and 1 month after radiotherapy. Latent class growth modeling was used to identify frailty-trajectory classes, and multinomial logistic regression was used to examine associated factors and the relationship between step counts and trajectory membership.

resultsAmong 327 patients, three frailty trajectories were identified: prefrailty declining (56.58%), frailty stable increasing (27.83%), and severe frailty increasing (15.60%) group. After adjustment for demographic and clinical covariates, higher average daily step counts during radiotherapy were independently associated with a lower likelihood of membership in adverse frailty trajectories.

conclusionsFrailty trajectories in patients with lung cancer undergoing radiotherapy were heterogeneous. Step-count gradients were observed around 3000, 6000, and 9000 steps/day, suggesting exploratory thresholds for different frailty-risk intervals. IMPLICATIONS FOR CANCER SURVIVORS: Daily step counts are a scalable real-world metric. Combining continuous step monitoring with routine frailty screening may support early identification of high-risk patients and proactive, individualized management during and after radiotherapy.

Indexed as

Daily step countFrailtyLatent class growth modelLongitudinal studyLung cancerRadiotherapy

Identifiers

PMID42720908

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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.