Evidence map›Paper›PMID 42039905›Full record

ArticleFrontiers in nutrition2026

Association between the uric acid-to-albumin ratio and risk of all-cause mortality in centenarians: a prospective cohort study.

Xiaofei Liu, Hao Li, Qing Luo, Qiushi Wang, Zeyu Qu, Zehao Zhang, Jie Zhang, Xinye Jin, Zhe Feng, Weiguang Zhang and 7 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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
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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

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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

17 authors.

Xiaofei Liu *Department of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Hao Li *Department of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Qing Luo *Department of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Qiushi WangDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Zeyu QuDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Zehao ZhangDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Jie ZhangDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Xinye JinDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Zhe FengSenior Department of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (ZYYZDXK-2023310), National Clinical Research Center for Kidney Diseases, Chinese PLA General Hospital, Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine (ZYYCXTD-D-202402), Beijing, China.
Weiguang ZhangSenior Department of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (ZYYZDXK-2023310), National Clinical Research Center for Kidney Diseases, Chinese PLA General Hospital, Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine (ZYYCXTD-D-202402), Beijing, China.
Qiao ZhuCentral Laboratory, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Yali ZhaoCentral Laboratory, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Yao HeInstitute of Geriatrics, the Second Medical Center of Chinese PLA General Hospital, National Clinical Research Center for Geriatrics Diseases, Beijing Key Laboratory of Geriatric Comorbidity, Beijing, China.
Xiangmei ChenSenior Department of Nephrology, State Key Laboratory of Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Prevention and Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (ZYYZDXK-2023310), National Clinical Research Center for Kidney Diseases, Chinese PLA General Hospital, Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine (ZYYCXTD-D-202402), Beijing, China.
Ding SunDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.
Miao LiuDepartment of Anti-Nuclear, Biological, Chemical Medicine, the Graduate School of Chinese PLA General Hospital, Beijing, China.
Yizhi ChenDepartment of Nephrology, Hainan Chen Xiangmei Academician Team Innovation Center for Kidney Diseases Research, Hainan Hospital of Chinese PLA General Hospital, Sanya, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The uric acid-to-albumin ratio (UAR) has emerged as a potential composite biomarker reflecting oxidative stress and nutritional status, both of which are relevant to aging and mortality risk. However, its prognostic value in extremely long-lived individuals remains unclear. Methods: A prospective cohort study involving 1,002 centenarians from China Hainan was conducted between June 2014 and December 2016. Participants were followed for survival status through March 31, 2023. Restricted cubic spline (RCS) modeling, Cox proportional hazards regression, and Kaplan-Meier survival analyses were employed to assess the association between UAR and mortality risk. Results: After excluding 78 centenarians, the cohort included 924 centenarians (median age: 102 years; 18.29% male). During a median follow-up of 29.70 months, 854 (92.42%) died. RCS analysis indicated a statistically significant overall association between UAR and mortality (adjusted Conclusion: Elevated UAR is independently associated with increased all-cause mortality in centenarians, suggesting its potential utility as a prognostic biomarker for risk stratification in exceptionally long-lived populations.

Indexed as

albuminall-cause mortalitycentenariansuric aciduric acid-to-albumin ratio

Identifiers

PMID42039905
PMCPMC13106049

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