Evidence map›Paper›PMID 37120516›Full record

ArticleCardiovascular diabetology2023

Serum triglyceride glucose index is a valuable predictor for visceral obesity in patients with type 2 diabetes: a cross-sectional study.

Qing Yang, Huichao Xu, Hongli Zhang, Yanying Li, Shuxiong Chen, Dongye He, Guangzhi Yang, Bo Ban, Mei Zhang, Fupeng Liu

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 42 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Qing YangDepartment of Clinical Nutrition, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Huichao XuDepartment of Clinical Nutrition, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Hongli ZhangDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Yanying LiDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Shuxiong ChenChinese Research Center for Behavior Medicine in Growth and Development, Jining, China.
Dongye HeChinese Research Center for Behavior Medicine in Growth and Development, Jining, China.
Guangzhi YangDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Bo BanDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China.
Mei ZhangDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China. zhangmeijn@163.com.
Fupeng LiuDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China. liufupengsdu@126.com.
Affiliated Hospital of Jining Medical University · CNShanghai Innovative Research Center of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the triglyceride glucose (TyG) index can reflect insulin resistance, it has been proven to be an efficient predictor of glycolipid-metabolism-related diseases. Therefore, this study aimed to investigate the predictive value of the TyG index for visceral obesity (VO) and body fat distribution in patients with type 2 diabetes mellitus (T2DM).

methodsAbdominal adipose tissue characteristics in patients with T2DM, including visceral adipose area (VAA), subcutaneous adipose area (SAA), VAA-to-SAA ratio (VSR), visceral adipose density (VAD), and subcutaneous adipose density (SAD), were obtained through analyses of computed tomography images at the lumbar 2/3 level. VO was diagnosed according to the VAA (> 142 cm

resultsA total of 976 patients were included in this study. VO patients showed significantly higher TyG values than non-VO patients in males (9.74 vs. 8.88) and females (9.59 vs. 9.01). The TyG index showed significant positive correlations with VAA, SAA, and VSR and negative correlations with VAD and SAD. The TyG index was an independent factor for VO in both males (odds ratio [OR] = 2.997) and females (OR = 2.233). The TyG index ranked second to body mass index (BMI) for predicting VO in male (AUC = 0.770) and female patients (AUC = 0.720). Patients with higher BMI and TyG index values showed a significantly higher risk of VO than the other patients. TyG-BMI, the combination index of TyG and BMI, showed significantly higher predictive power than BMI for VO in male patients (AUC = 0.879 and 0.835, respectively) but showed no significance when compared with BMI in female patients (AUC = 0.865 and 0.835, respectively).

conclusions. TyG is a comprehensive indicator of adipose volume, density, and distribution in patients with T2DM and is a valuable predictor for VO in combination with anthropometric indices, such as BMI.

Indexed as

Diabetes Mellitus, Type 2Blood GlucoseCross-Sectional StudiesFemaleGlucoseHumansMaleObesityObesity, AbdominalTriglyceridesBlood GlucoseGlucoseTriglyceridesTriglyceride glucose indexType 2 diabetes mellitusVisceral obesity

Identifiers

PMID37120516
PMCPMC10148999
OpenAlexW4367394563

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.