Evidence map›Paper›PMID 41473337›Full record

ArticleInternational journal of general medicine2025

Correlation Between Triglyceride-Glucose Index (TyG Index), Monocyte to High-Density Lipoprotein Cholesterol Ratio (MHR), and the Severity of Coronary Artery Disease.

Di Wu, Chang Liu, Jidong Zhang, Mengjun Ge, Beibei Gao, Chunqing Wang

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. 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

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

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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.

Di Wu *Department of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.
Chang Liu *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.
Jidong ZhangDepartment of Neurosurgery, The First People's Hospital of Xuzhou, Xuzhou, Jiangsu, People's Republic of China.
Mengjun GeDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.
Beibei GaoDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.
Chunqing WangDepartment of General Practice, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the relationship between the triglyceride-glucose index (TyG), the monocyte to high-density lipoprotein cholesterol ratio (MHR) and the severity of coronary artery disease (CAD) under different glucose metabolism states. Methods: A retrospective analysis was conducted on 526 patients who underwent coronary angiography (CAG) for the first time in the Affiliated Hospital of Xuzhou Medical University from January 2024 to January 2025. Among them, there were 122 patients in the non-CAD group and 404 patients in the CAD group. According to the Gensini score, the CAD group was further divided into a mild group (n = 147) and a moderate-to-severe group (n = 257). Meanwhile, they were divided into normal glucose regulation (NGR), prediabetes (Pre-DM), and diabetes mellitus (DM) groups according to the glucose metabolism state. Multivariate Logistic regression, restricted cubic spline (RCS), and receiver operating characteristic (ROC) curve analyses were used. Results: Both the TyG index and MHR were independent risk factors for the occurrence and severity of CAD ( Conclusion: TyG index and MHR can serve as independent biomarkers of new-onset CAD severity. In DM patients, TyG offers greater predictive value, while MHR is more predictive in NGR individuals.

Indexed as

coronary artery disease severitygensini scoresglucose metabolic statesmonocyte to high-density lipoprotein cholesterol ratiotriglyceride-glucose index

Identifiers

PMID41473337
PMCPMC12746734

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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.