Evidence map›Paper›PMID 39118153›Full record

ArticleDiabetology & metabolic syndrome2024

Nonlinear association between the triglyceride-glucose index and diabetes mellitus in overweight and obese individuals: a cross-sectional retrospective analysis.

Yongbing Sun, Yuang Gu, Yang Zhou, Ao Liu, Xinbei Lin, Xuan Wang, Yawei Du, Xue Lv, Jing Zhou, Zhonglin Li and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Yongbing Sun *Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Yuang Gu *Department of Medical Imaging, Henan Provincial People's Hospital, Xinxiang Medical College, Zhengzhou, Henan, 450003, China.
Yang ZhouDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Ao LiuDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Xinbei LinDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Xuan WangDepartment of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, #7 Kungfu Street, Zhengzhou, Henan, 450052, China.
Yawei DuDepartment of Medical Imaging, Henan Provincial People's Hospital, Henan University People's Hospital, Zhengzhou, Henan, 450003, China.
Xue LvDepartment of Health Management, Fuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, Henan, 451464, China.
Jing ZhouHenan Provincial Research Center of Clinical Medicine of Nephropathy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 45003, China.
Zhonglin LiDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Xiaoling WuDepartment of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China.
Zhi ZouDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Shewei DouDepartment of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, Henan, 450003, China.
Michael ZhangSevenoaks Health Management Center, Canada-Canada Institute of Health Engineering, University of Manitoba, Winnipeg, Canada.
Jiadong ZhuDepartment of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China.
Feifei ShangDepartment of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China.
Fengli LiDepartment of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, Henan, 450003, China.
Yangxi HuDepartment of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, Henan, 450003, China. huyangxi2046@163.com.
Hao LiFuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, Henan, 451464, China. leehao2004@163.com.
Yongli LiDepartment of Health Management, Chronic Health Management Laboratory, Henan Provincial People's Hospital, Zhengzhou, Henan, 450003, China. shyliyongli@126.com.

Funding

Central Plains Science and Technology Innovation leading talent Program 244200510016Henan Provincial Science and Technology Tackling Program Project Funding 242102311018, 242102311121, 242102310299Medical Science and Technology Research Project of Henan Province SBGJ202302011, LHGJ20210054National Key R&D Program of China 2022YFC2010001the National Natural Science Foundation of China 82071884
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index is linked to both the development and progression of diabetes, while obesity remains a significant risk factor for this disease. However, the relationship between the TyG index and overweight or obese diabetes remains unclear.

methodsThis study was a cross-sectional analysis of data from 40,633 participants with body mass index (BMI) ≥ 24 kg/m

resultsPatients who were overweight or obese and had diabetes had higher TyG index levels than those without diabetes. After adjusting for confounders, our findings indicated a significant association between the TyG index and the risk of diabetes in overweight or obese individuals [odds ratio (OR) = 7.38, 95% confidence interval (CI): 6.98-7.81]. There was a J-shaped nonlinear association between TyG index and diabetes. When TyG index was > 4.46, the risk of diabetes increased sharply. Notably, a high baseline TyG index (Q4 group) correlated with a notably greater risk of diabetes than did the Q1 group, with an OR of 22.72 (95% CI: 20.52-25.16). Subgroup analysis revealed that the association between TyG and diabetes was stronger in females than in males (OR = 7.57, 95% CI: 6.76-8.48,), more significant in individuals with a BMI of 24-28 kg/m

conclusionAmong overweight or obese individuals, a higher TyG index is associated with an elevated risk of diabetes, especially when TyG is > 4.46. Furthermore, factors such as sex, age, and BMI significantly influence the risk of diabetes in overweight or obese individuals. Specifically, older women with a BMI of 24-28 kg/m

Indexed as

AdiposityBMICross-sectional studiesTriglyceride-glucose index

Identifiers

PMID39118153
PMCPMC11308203

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.