Evidence map›Paper›PMID 41180180›Full record

ArticleFrontiers in endocrinology2025

Association between the triglyceride-glucose index and hyperuricemia in patients with type 2 diabetes mellitus.

Xu Sun, Xin Li, Zhuyin Qian, Xiaowei Chen, Jie Zhang, Chenjian Zhao, Xingyu Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Xu SunDepartment of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, China.
Xin LiDepartment of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, China.
Zhuyin QianDepartment of General Surgery, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, China.
Xiaowei ChenDepartment of Central Laboratory, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, China.
Jie ZhangDepartment of Endocrinology, Nanjing Luhe People's Hospital, Yangzhou University, Nanjing, China.
Chenjian ZhaoDepartment of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, China.
Xingyu LiuDepartment of Pharmacy, Nanjing Luhe People's Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This cross-sectional study investigated the relationship between the triglyceride-glucose (TyG: A surrogate marker for assessing insulin resistance.) index and hyperuricemia (HUA: Metabolic diseases caused by purine metabolism disorders.) risk in Chinese patients with type 2 diabetes mellitus (T2DM). Methods: From January 2021 to December 2023, T2DM patients were enrolled from Luhe District People's Hospital in Nanjing. Participants were stratified by TyG index quartiles. Logistic regression and restricted cubic spline (RCS) analyses assessed the TyG-HUA association. Results: This study included 996 participants with type 2 diabetes, with a male predominance of 54.82%, a mean age of 60.39 years, and a median TyG index of 7.63. Compared to the lowest TyG quartile, the highest quartile exhibited a 4.23-fold (95% CI: 1.46 ~ 12.24, P value = 0.008) increased HUA risk. Restricted cubic spline analysis revealed a nonlinear relationship between the TyG index and HUA (nonlinear P value = 0.044). As the TyG level increased, the risk of HUA initially rose and then showed a downward trend (P for TyG = 0.008). Conclusions: Elevated TyG index independently predicts HUA risk in T2DM patients. Early metabolic intervention may mitigate HUA-related cardiovascular morbidity and mortality.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2HyperuricemiaTriglyceridesAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansInsulin ResistanceMaleMiddle AgedRisk FactorsBiomarkersBlood GlucoseTriglycerideshyperuricemiaRCSstatistical analysisTyG indextype 2 diabetes mellitus

Identifiers

PMID41180180
PMCPMC12575192

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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.