Evidence map›Paper›PMID 42675722›Full record

ArticleMedicine2026

Biological age acceleration and mortality risk among U.S. adults with cardio-kidney-metabolic syndrome, stages 0-3: An NHANES cohort study.

Xiaoqiang Chen, Yisen Huang, Yingxuan Huang, Yingyi Li, Xinqi Chen, Yubin Wang, Xiaoqiang Liu

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Xiaoqiang ChenDepartment of Otolaryngology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Yisen HuangDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yingxuan HuangDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yingyi LiDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Xinqi ChenDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Yubin WangDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
Xiaoqiang LiuDepartment of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.ORCID 0009-0003-3737-513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the associations of Klemera-Doubal Method Biological Age Acceleration (KDM-BAA) and Phenotypic Age Acceleration (PAA) with all-cause and cause-specific mortality in U.S. adults with Cardio-Kidney-Metabolic (CKM) syndrome stages 0-3 and to establish risk prediction models. Data were obtained from 16,837 participants in NHANES 1999-2010 and 2015-2018, linked to mortality through 2019. Biological age was estimated using KDM-BA and Phenotypic Age algorithms, with residuals defining Biological Age Acceleration (BAA). Cox proportional hazards models were applied, and LASSO-Cox nomograms were developed for mortality prediction. Over a median follow-up of 11.33 years, 10.8% of the weighted population (9.75 million adults) died. After full adjustment for confounders, KDM-BAA positivity increased the risk of all-cause, CVD, and non-CVD mortality by 41%, 74%, and 31%, respectively; PAA positivity showed even larger increases - 103%, 79%, and 112%. Both metrics consistently exhibited a positive association in multiple subgroups and sensitivity analyses. The LASSO-Cox-based nomogram showed favorable discrimination (training AUCs 0.776 and 0.775 at 10 and 20 years; validation AUCs 0.765 and 0.757, respectively) and good calibration, suggesting potential clinical applicability. BAA independently predicts long-term mortality among individuals with CKM stages 0-3. PAA provides superior prognostic value, supporting the importance of monitoring biological aging to guide early intervention and improve long-term outcomes.

Indexed as

AgingCardio-Renal SyndromeMetabolic SyndromeAdultAgedAge FactorsCohort StudiesFemaleHumansMaleMiddle AgedNomogramsNutrition SurveysProportional Hazards ModelsRisk FactorsUnited StatesBiological Age AccelerationCKM syndromeKlemera-Doubal Method (KDM-BA)NHANESPhenotypic Age (PA)

Identifiers

PMID42675722
PMCPMC13529157

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.