Evidence map›Paper›PMID 42888531›Full record

ArticleMedicine2026

Association between the uric acid to high-density lipoprotein cholesterol ratio and diabetic kidney disease in U.S. adults with type 2 diabetes: A cross-sectional study of NHANES 2009 to 2018.

Ruolan Tan, Wei Tan, Yulin Hu

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.

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0citing papers 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

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

3 authors.

Ruolan TanDepartments of Nephrology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.ORCID 0009-0003-0435-8288
Wei TanCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning, China.ORCID 0009-0002-6148-8647
Yulin HuDepartments of Nephrology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The uric-acid-to- high-density lipoprotein-cholesterol ratio (UHR) combines 2 circulating biomarkers related to metabolic and inflammatory processes. Its association with prevalent diabetic kidney disease (DKD) was examined in U.S. adults with type 2 diabetes mellitus. This study aimed to examine the cross-sectional association between UHR and prevalent DKD and assess its incremental discrimination beyond the specified covariate model. We analyzed 4010 adults with type 2 diabetes mellitus from NHANES 2009 to 2018 using the complex survey design. DKD was defined as urinary albumin-to-creatinine ratio ≥30 mg/g and/or estimated glomerular filtration rate <60 mL/min/1.73 m2, calculated using the 2009 chronic kidney disease epidemiology collaboration equation without its race coefficient. Strict DKD required both abnormalities; severe DKD required urinary albumin-to-creatinine ratio ≥300 mg/g. Model 3 was the primary confounder-adjusted model, and model 4 added laboratory indicators as an extended sensitivity analysis. Supplementary analyses assessed nonlinearity, discrimination and graphical calibration. Exploratory unweighted category-based net reclassification improvement used 500 bootstrap replicates and percentile confidence intervals. Of 4010 participants, 1576 had study-defined DKD; the weighted prevalence was 35.4%. In model 3, the highest versus lowest ln-UHR quartile had an odds ratio of 2.43 (95% confidence interval 1.75-3.38) for original DKD, 4.55 (2.81-7.35) for strict DKD and 2.82 (1.57-5.06) for severe DKD. Estimates were attenuated in model 4, with the severe-DKD contrast no longer meeting the 0.05 threshold. The laboratory-adjusted spline indicated nonlinearity (P < .001). In the separate laboratory-inclusive discrimination analysis, adding ln-UHR increased apparent area under the curve from 0.75 to 0.76; the unweighted net reclassification improvement was 1.9% (95% confidence interval 0.8%-3.1%). Higher UHR was associated with prevalent DKD after adjustment for the selected potential confounders. Supplementary analyses showed a small increase in apparent discrimination. These cross-sectional findings require prospective investigation and independent external validation before use for future risk prediction or clinical screening.

Indexed as

Cholesterol, HDLDiabetes Mellitus, Type 2Diabetic NephropathiesUric AcidAdultAgedBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedNutrition SurveysPrevalenceUnited StatesBiomarkersCholesterol, HDLUric Aciddiabetic kidney diseaseHDL cholesterolNHANESUHRUnited Statesuric acid

Identifiers

PMID42888531
PMCPMC13680938

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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.