ArticleGlobal health & medicine2026
Latent classes of frailty and their association with intrinsic capacity inolder cancer survivors: A study under the healthy aging paradigm.
Article in Global health & medicine, 2026. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Latent profile analysis and analytical model construction based on heterogeneity of intrinsic capacity in Chinese older adults.Frontiers in aging neuroscience · 2026Article
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Authors and funding
7 authors.
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Abstract
The aim of this study was to identify frailty profiles using latent class analysis (LCA) and examine their associations with intrinsic capacity (IC) among Chinese elderly cancer survivors. A total of 308 elderly cancer survivors were recruited from a tertiary hospital in Nantong, China between November 2023 and April 2024, and data were collected through questionnaires and clinical assessments. LCA was used to classify frailty subtypes, univariate analysis and multinomial logistic regression (reference: robust group) were used to identify associated factors, and one-way ANOVA was used to compare IC differences across subtypes. Three frailty profiles were identified-frail (31.5%), pre-frail (19.8%), and robust (48.7%)-with significant IC variations. Lower monthly household income (odds ratio (OR) = 16.00,
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