Evidence map›Paper›PMID 40016248›Full record

ArticleScientific reports2025

Association between TyG-related parameters and NAFLD risk in Japanese non-obese population.

Xiuli Wang, Jie Liu, Ke Yu, Zhenhua Huang, Hanxiong Liu, Xiang Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Xiuli WangDepartment of Gastroenterology, The First People's Hospital of Chenzhou, Chenzhou, 423001, China.
Jie LiuDepartment of Emergency Medicine, Shenzhen New Frontier United Family Hospital, Shenzhen, 518000, China.
Ke YuDepartment of Respiratory and Critical Care Medicine, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Zhenhua HuangDepartment of Emergency Medicine, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Hanxiong LiuDepartment of Gastroenterology, The First People's Hospital of Chenzhou, Chenzhou, 423001, China. lhx2000@eyou.com.
Xiang LiDepartment of Medical Ultrasonics, Shenzhen Pingle orthopaedic hospital, Shenzhen, 518000, China. 11453588@qq.com.

Funding

Hunan Provincial Natural Science Foundation of China 2023JJ50060
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease (NAFLD) constitutes a substantial proportion of cases among the non-obese population, yet it is frequently overlooked. Studies investigating the association between triglyceride-glucose (TyG)-related parameters (TyG-BMI, TyG-WC, TyG-WHtR) and NAFLD in non-obese individuals is limited. Thus, this study aims to investigate the association between TyG-related parameters and NAFLD in non-obese individuals to improve early detection and intervention strategies for NAFLD in this population. A cross-sectional analysis was conducted using data from the NAFLD database, including 11,987 participants who underwent health examinations between 2004 and 2015. Logistic regression models were employed to evaluate the relationship between TyG-related parameters and NAFLD risk, incorporating cubic spline functions and smooth curve fitting to identify potential nonlinear relationships. ROC curve analysis was conducted to assess the predictive performance of thee parameters. After controlling for confounding variables, the incidence of NAFLD in non-obese individuals increased with higher TyG-related parameters. Notably, nonlinear relationships between the TyG index and its related parameters regarding NAFLD risk were identified. The areas under the ROC curve for the TyG index and its related parameters were 0.7984, 0.8553, 0.8584, and 0.8353, respectively. Importantly, the predictive ability of the TyG index and its related parameters was stronger in the female population than in that of males. A positive and nonlinear relationship exists between the TyG-related parameters in relation to the risk of NAFLD. The TyG-related parameters exhibit predictive capabilities for NAFLD, with TyG-related parameters demonstrating greater strength than the TyG index itself.

Indexed as

Blood GlucoseNon-alcoholic Fatty Liver DiseaseTriglyceridesAdultAgedBody Mass IndexCross-Sectional StudiesEast Asian PeopleFemaleHumansIncidenceJapanMaleMiddle AgedRisk FactorsROC CurveBlood GlucoseTriglyceridesNAFLDNonlinearNon-obese populationTyG indexTyG-related parameters

Identifiers

PMID40016248
PMCPMC11868368

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.