ArticleFrontiers in oncology2025
Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia.
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 2 papers.
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2 citing papers in PubMed.
- Incidence and associated factors of falls in patients with chemotherapy-induced peripheral neuropathy: a scoping review and evidence mapping.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- High burden of geriatric assessment impairments across the adult age spectrum in patients with cancer.The oncologist · 2026Article
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Authors and funding
9 authors.
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Abstract
Background: To explore the risk factors associated with falls in elderly lung cancer patients with sarcopenia, construct a predictive model, and validate its performance. Methods: This cross-sectional study involved 316 lung cancer patients with sarcopenia who were hospitalized in the oncology, thoracic surgery, and respiratory medicine departments of a tertiary hospital in Jiangxi Province between January 2023 and December 2023. Data were collected through questionnaires and physical measurements. A logistic regression predictive model was developed on the basis of independent risk factors. Results: The incidence of falls among elderly lung cancer patients with sarcopenia was 19.94%. Multivariate logistic regression analysis identified multiple metastases, nocturia (≥3 times per night), sleep disorders, frailty, and malnutrition as independent risk factors for falls. The Hosmer - Lemeshow test indicated good model fit (X Conclusion: The risk prediction model for falls in elderly lung cancer patients with sarcopenia, which is based on independent predictors, demonstrated good predictive performance. This model facilitates the timely identification of high-risk patients, providing scientific evidence to support the development of precise clinical management strategies.
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