Evidence map›Paper›PMID 41830155›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Utility of biological aging markers for mortality risk stratification in community-dwelling older adults: insights from the Mr. OS and Ms. OS (Hong Kong) cohort.

Yafei Wu, Ting Zhang, Shuyi Li, Jason Leung, Timothy Kwok

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 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

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yafei WuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-3937-0263
Ting ZhangDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Shuyi LiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Jason LeungJockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong SAR, China.
Timothy KwokDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-9253-3549

Funding

NIH HHS AR049439-01A1NIH HHS R01Research Grants Council Earmarked Grant CUHK4101/02
6 · The paper itself

Abstract

backgroundStudies regarding the integration of various biological aging (BA) markers and their predictive values for long-term mortality risk remain limited, particularly in Asian older adults. We evaluated the associations of multiple BA markers with overall and cause-specific mortality over a 20-year period.

methodsData on 4000 older adults (mean age: 72.5 years) were obtained from the Mr. OS and Ms. OS cohort. BA was assessed by the frailty phenotype, clinical deficit-based frailty index (FI), biochemical-enhanced FI (eGFR, homocysteine, hsCRP, 25(OH)-D), and leukocyte telomere length. Mortality was ascertained by the Hong Kong Death Registry. Hazard ratios (HRs) were assessed using Cox and Fine-Gray models and predictive accuracy with Harrell's c-index.

resultsOver a median follow-up of 18.25 years, 2446 deaths occurred (CVD: 511, cancer: 644). For overall mortality, the HRs (95% CI) of pre-frail and frail groups were 1.24 (1.13-1.35) and 1.66 (1.39-1.98) compared to the fit. Each SD increase in the clinical or biochemical-enhanced FI was associated with 22% or 23% increased risk of overall mortality (p < .001). Longer telomere length reduced overall mortality risk (HR per SD: 0.93, 95% CI: 0.88-0.99). All BA markers except telomere length were significantly associated with CVD mortality. While all BA markers were not significantly associated with cancer mortality. Frailty-related markers showed added predictive values for both overall and cause-specific mortality, while telomere length was specifically predictive for CVD mortality (C-index improvements: 0.32%-7.90%).

conclusionsBiological aging is associated with overall and CVD-cause mortality in older Chinese and may support risk stratification and personalized interventions.

Indexed as

AgingFrailtyMortalityAgedAged, 80 and overAging in PlaceBiomarkersCardiovascular DiseasesCause of DeathCohort StudiesFemaleFrail ElderlyGeriatric AssessmentHong KongHumansIndependent LivingBiomarkersBiological agingFrailty indexMortalityOlder adultsTelomere length

Identifiers

PMID41830155
PMCPMC13070468

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.