ArticleFrontiers in aging2025
The effect of phenotypic aging on the relationship between cancer history and mortality in US adults.
Article in Frontiers in aging, 2025. 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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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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5 authors.
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Abstract
Cancer survivors may have an accelerated biological aging process compared to cancer-free individuals. In this study, we aimed to investigate associations between clinical measures of biological aging and mortality (all-cause, cancer, and cardiovascular disease [CVD]) and examine whether the association between cancer history and mortality is mediated by biological aging. Data from the National Health and Nutrition Examination Survey (NHANES) 1999-2010, with follow-up through 31 December 2019, were used. A total of 1,493 cancer survivors and 4,479 matched non-cancer individuals aged ≥20 years were included. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Biological age (BA) was measured by phenotypic age (PhenoAge) based on nine clinical biomarkers. The mediating effect of biological age was assessed using structural equation models with the bootstrapping method by estimating indirect (IE) and direct (DE) effects from cancer history to mortality. Compared to non-cancer individuals, cancer survivors had accelerated PhenoAge. The association between cancer history and all-cause mortality risk was partially mediated by PhenoAge acceleration (HR
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