Evidence map›Paper›PMID 42416562›Full record

ArticleReviews in cardiovascular medicine2026

Factors Associated With Hyperuricemia in Patients With Coronary Heart Disease.

Qinyu Sun, Yifan Deng, Zhiyuan Gao, Shenghu He, Wei Zhou, Jing Zhang

Abstract read
In one paragraph

Article in Reviews in cardiovascular 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qinyu SunDepartment of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.ORCID https://orcid.org/0009-0002-4896-7168
Yifan DengDepartment of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.
Zhiyuan GaoDepartment of Urology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.
Shenghu HeDepartment of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.
Wei ZhouDepartment of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, 225000 Yangzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-3660-8088
Jing ZhangDepartment of Cardiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-3079-3788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate clinical factors associated with hyperuricemia (HUA) in patients with newly diagnosed coronary heart disease (CHD) and to evaluate the correlation of novel derived biomarkers with HUA, thereby providing a reference for clinical risk identification, prevention, and treatment. Methods: This retrospective study analyzed 2265 patients with newly diagnosed CHD (2019-2024) who were randomly assigned to a modeling group (n = 1812) and a validation group (n = 453); HUA was defined as serum uric acid (UA) ≥420 μmol/L. Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were used to identify associated factors. A prediction model was constructed and evaluated using receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration plots. Results: Independent factors associated with HUA included triglycerides (odds ratio (OR) = 1.097, 95% CI: 1.036-1.160), creatinine (OR = 1.030, 95% CI: 1.025-1.035), monocyte-to-high-density lipoprotein cholesterol ratio (MHR; OR = 1.447, 95% CI: 1.057-1.981), remnant cholesterol (RC; OR = 1.812, 95% CI: 1.406-2.337), and alcohol use (OR = 1.596, 95% CI: 1.202-2.119) (all Conclusion: MHR and RC are novel biomarkers associated with HUA risk in patients with new-onset CHD. When combined with traditional factors such as triglycerides and creatinine, these novel biomarkers support a multifactorial, integrated evaluation of HUA-related risk and serve as a reference for clinical risk stratification and management.

Indexed as

coronary heart diseasecorrelation analysishyperuricemiapredictive model

Identifiers

PMID42416562
PMCPMC13339177

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