Evidence map›Paper›PMID 40814104›Full record

ArticleBMC endocrine disorders2025

Unveiling the UHR threshold in American adult: a new biomarker for early diabetes detection from NHANES study.

Chao Yu, Zuting Liu, Jian Zhong, Xingyu Liu, Jiali Mo, Jie Kuang

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Chao Yu *Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zuting Liu *Department of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330031, China.
Jian ZhongDepartment of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330031, China.
Xingyu LiuDepartment of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330031, China.
Jiali MoDepartment of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330031, China.
Jie KuangDepartment of Epidemiology, School of Public Health, Jiangxi Medical College, Nanchang University, No. 1299, Xuefu Avenue, Nanchang, Jiangxi, 330031, China. kuangjie@ncu.edu.cn.ORCID http://orcid.org/0000-0002-0674-7266

Funding

National Natural Science Foundation of China 82160645, 82360667, 82460670the Natural Science Foundation of Jiangxi Province 20212BAB206091, 20232BAB206140
6 · The paper itself

Abstract

BACKGROUND AND

aimsThis study examines the association between the serum uric acid high-density lipoprotein cholesterol ratio (UHR) biomarker and the risk of prediabetes and diabetes, a relationship that remains under-researched, to provide insights for diabetes prevention. METHODS AND

resultsThis study utilized data from 13,975 American participants in the National Health and Nutrition Examination Survey (2011-2018). Logistic regression models, restricted cubic splines (RCS) analysis and subgroup analyses were employed to examine the association between UHR and prediabetes/diabetes. The median UHR was 10.4%, with 6,382 (45.7%) cases of prediabetes and diabetes detected. A higher UHR was associated with an increased risk of prediabetes and diabetes, showing a 39% increased risk per standard deviation increment (OR: 1.39; 95% CI: 1.33,1.46). Consistent results were observed when UHR was categorized. Participants in the highest UHR quartile exhibited a significantly higher risk of prediabetes/diabetes than those in the lowest quartile (OR: 2.63, 95% CI: 2.30,3.01). The RCS analysis revealed a nonlinear association, with a threshold value of 12.50%. Below this threshold, higher UHR was significantly associated with prediabetes/diabetes (OR: 1.17, 95% CI: 1.15,1.19), while above this threshold, the association was not significant. Subgroup analyses highlighted a marked gender disparity, with women exhibiting a stronger association.

conclusionThis research found a positive link between UHR and prediabetes and diabetes prevalence, with a nonlinear relationship noted. A significant association was observed below a UHR threshold of 12.50%, especially in females.

Indexed as

BiomarkersCholesterol, HDLDiabetes MellitusDiabetes Mellitus, Type 2Prediabetic StateUric AcidAdultAgedCross-Sectional StudiesEarly DiagnosisFemaleFollow-Up StudiesHumansMaleMiddle AgedNutrition SurveysBiomarkersCholesterol, HDLUric AcidCross-sectional studyDiabetesNHANESPrediabetesUric acid high-density lipoprotein cholesterol ratio (UHR)

Identifiers

PMID40814104
PMCPMC12355743

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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 OpenQuestion graph.