Evidence map›Paper›PMID 40835623›Full record

ArticleScientific reports2025

Relationship between triglyceride and glucose related indexes and MAFLD in rural populations of northwest China.

Shipeng Gao, Xinyu Peng, Shijie Zhang, Jing Yang, Shuxia Guo, Yu Li, Rulin Ma, Yunhua Hu, Keerman Mulatibieke, Xianghui Zhang and 3 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

13 authors.

Shipeng GaoDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Xinyu PengMedical School of Shihezi University, Shihezi, 832000, China.
Shijie ZhangMedical School of Shihezi University, Shihezi, 832000, China.
Jing YangMedical School of Shihezi University, Shihezi, 832000, China.
Shuxia GuoDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Yu LiDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Rulin MaDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Yunhua HuDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Keerman MulatibiekeDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Xianghui ZhangDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Xinping WangDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China.
Jia HeDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China. hejia123.shihezi@163.com.
Heng GuoDepartment of Public Health, School of Medicine, Shihezi University, Shihezi, 832000, China. guoheng@shzu.edu.cn.

Funding

National Natural Science Foundation of China 82460661Science and Technology Bureau of Xinjiang Production and Construction Corps 2018AB022Science and Technology Bureau of Xinjiang Production and Construction Corps 2021AB030Shihezi University RCZK202367
6 · The paper itself

Abstract

Research has shown inconsistent links between triglyceride and glucose related indexes (TyG-related indexes) and metabolic dysfunction-associated fatty liver disease (MAFLD) across various groups and areas. Our research focuses on exploring these connections to improve early identification and prevention of MAFLD among rural residents in Xinjiang, China. A total of 10,703 rural residents were included in this cohort study. Cox regression modeling, receiver operating characteristic curves (ROC), restricted cubic spline (RCS) scores, subgroup analyses, and sensitivity analyses were used to conduct the study. Over a 5.7-year follow-up, 5.6% of participants developed MAFLD. Higher TyG-related indexes were linked to increased MAFLD risk after adjusting for confounders (P < 0.05). TyG-WHtR increased significantly in both sexes. The top quartile of TyG, TyG-BMI, TyG-WC, and TyG-WHtR had higher MAFLD risk compared to the bottom quartile, with TyG-BMI being the strongest predictor, particularly in unmarried individuals aged 18-30. Nonlinear relationships were observed for most TyG-related indexes and MAFLD risk, except for male TyG. ROC analysis confirmed the diagnostic value of TyG-related indexes for predicting MAFLD. TyG-related indexes were independently associated with MAFLD, with a stronger association observed in females. Furthermore, TyG-related indexes demonstrated predictive value for MAFLD, with TyG-BMI exhibiting the most robust predictive performance, particularly among unmarried individuals aged 18-30.

Indexed as

Blood GlucoseNon-alcoholic Fatty Liver DiseaseTriglyceridesAdolescentAdultBody Mass IndexChinaFemaleHumansMaleMiddle AgedRisk FactorsROC CurveRural PopulationYoung AdultBlood GlucoseTriglyceridesCohort studyMAFLDRiskRural areaTyG-related indexes

Identifiers

PMID40835623
PMCPMC12368206

What OpenQuestion 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 OpenQuestion graph.