Evidence map›Paper›PMID 40232167›Full record

ArticleArchives of endocrinology and metabolism2025

Association between triglyceride-glucose index and the risk of type 2 diabetes mellitus.

Hui Luo, Qin Yang, Haolan Xu, Shan Wu, Wenjing Wang, Ru Zhou, Yanlang Yang, Qi Yu

Abstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Hui LuoDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0009-5883-1804
Qin YangNanchang University, Nanchang, Jiangxi, People's Republic of China.ORCID 0009-0005-4476-2220
Haolan XuDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0002-3703-2367
Shan WuDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0004-6272-3404
Wenjing WangDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0006-7084-311X
Ru ZhouDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0005-3963-0872
Yanlang YangDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0007-1867-9778
Qi YuDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, Anhui, People's Republic of China.ORCID 0009-0005-0772-9691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the efficacy of the triglyceride-glucose (TyG) index in predicting type 2 diabetes mellitus (T2DM) in the general population. SUBJECTS AND

methodsBaseline data were collected from a community population that underwent physical examination between 2015 and 2020. The TyG index was calculated via the following formula: TyG = Ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. Cox regression and stratified analyses were performed to evaluate the ability of the TyG score to predict the occurrence of diabetes.

resultsIn total, 8 576 subjects were ultimately included and divided into a T2DM group (n = 882) and a non-T2DM group (n = 7,694) according to the results of the 5-year follow-up. Adjustment for all covariates revealed that every 1-unit increase in the TyG index multiplied the risk of T2DM in all the participants (HR: 3.348; 95% CI: 3.004-3.731; P < 0.001). When TyG was divided into three quantiles, the risk of T2DM in the highest quantile was 6.412 times greater than that in the lowest quantile. Subgroup analysis revealed that the correlation was more pronounced in middle-aged and young adults, females, and eutrophic individuals (interaction P value < 0.001).

conclusionThe TyG index can be a strong predictor of T2DM and is more useful for estimating the risk of T2DM in young and middle-aged adults, females, and eutrophic people.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2TriglyceridesAdultAgedFastingFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsYoung AdultBlood GlucoseTriglyceridesbody mass indexinsulin resistanceTriglyceride-glucose indextype 2 diabetes mellitus

Identifiers

PMID40232167
PMCPMC12002598

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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.