Evidence map›Paper›PMID 41771972›Full record

ArticleScientific reports2026

Association of serum uric acid to high density lipoprotein cholesterol ratio with stroke.

Shan Li, Jie Liu, Kui Zhang, Kai Zhao, Yan Li, Hangyu Ma, Yutao Fu, Jianzhun Chen, Qianhao Zhao

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

9 authors.

Shan Li *Department of Neurology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China.
Jie Liu *Department of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.
Kui Zhang *Department of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650118, Yunnan, China.
Kai ZhaoDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650118, Yunnan, China.
Yan LiDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650118, Yunnan, China.
Hangyu MaDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650118, Yunnan, China.
Yutao FuDepartment of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650118, Yunnan, China.
Jianzhun ChenDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China. cjz9609@163.com.
Qianhao ZhaoDepartment of Neurosurgery, Kunming Children's Hospital, Kunming, 650100, Yunnan, China. yueye.1@163.com.

Funding

Open Project of the Clinical Medical Research Center, The First People's Hospital of Yunnan Province 2023YJZX-LN09Science and Technology Planning Project of Yunnan Provincial Department of Science and Technology 202401AY070001-108
6 · The paper itself

Abstract

Stroke, as the second leading cause of death globally, is characterized by high disability and mortality rates and urgently needs biomarkers for risk stratification. This study aims to use data from the China Health and Retirement Longitudinal Study (CHARLS) cohort to explore the association of the uric acid to HDL-C ratio (UHR), BMI with incident stroke. A total of 3756 participants aged 45 and above without a history of stroke were included from the CHARLS data from 2011 to 2020. Stroke events were confirmed through follow up data. UHR was calculated as the ratio of serum uric acid (mg/dL) to high density lipoprotein cholesterol (mg/dL). Statistical methods such as the Cox proportional hazards regression model, restricted cubic spline analysis, mediation effect test (Bootstrap method), and and multiplicative and additive interactions analysis were used to systematically evaluate the association of the combined UHR and BMI indicators with stroke risk. The UHR was significantly associated with stroke risk (HR = 1.03, p = 0.005), with the highest UHR group having 1.61 times the risk of the lowest group (p = 0.003). Subgroup analysis indicated that this association was significant in the non-diabetic population (p < 0.001) but not in the diabetic population (interaction p = 0.002). UHR mediated 18% of the association between BMI and stroke risk (95% CI 6.7-38%). No significant multiplicative and additive interactions were found between BMI and UHR on incident stroke.Restricted cubic spline analysis showed an approximately linear dose-response relationship between UHR and stroke risk (p for non linearity = 0.917). The study results indicate that UHR is significantly and positively correlated with stroke risk, and its value in stroke risk stratification is significantly enhanced when used in combination with BMI.

Indexed as

Cholesterol, HDLStrokeUric AcidAgedBiomarkersBody Mass IndexChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsBiomarkersCholesterol, HDLUric Acid

Identifiers

PMID41771972
PMCPMC13057258

What Socratic holds

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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.