Evidence map›Paper›PMID 39915562›Full record

ArticleScientific reports2025

Association between TyG related parameters and metabolic dysfunction associated fatty liver disease among nondiabetic individuals.

Qian Zhang, Zhilong Liu, Jiaqi Zhang, Shangjie Yang, Liping Liu

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Qian Zhang *Department of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Zhilong Liu *Department of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Jiaqi ZhangDepartment of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Shangjie YangDepartment of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Liping LiuDepartment of Interventional Ultrasound, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China. liuliping1600@sina.com.

Funding

National Natural Science Foundation of China 82272026Research Project Supported by the Shanxi Scholarship Council of China 2022-193
6 · The paper itself

Abstract

Metabolic dysfunction associated fatty liver disease (MAFLD) is a prevalent liver condition and presents a major clinical and public health problem worldwide. TyG index and its related parameters TyG-WHtR, TyG-WC and TyG-BMI have been proven to label insulin resistance reliably, which makes it an important parameter to reflect the composition and health status of human body. Recent studies in the general population have demonstrated that there exists a correlation between elevated TyG index and the development of MAFLD, but in the nondiabetic US population, this correlation remains unclear. We included 945 nondiabetic adult participants from NHANES 2017-2020 cycle in this cross-sectional study. To find the relationship that exists between TyG, TyG-WHtR, TyG-WC, TyG-BMI, HOMA-IR, QUICKI and the risk of MAFLD, we used four conventional multivariate adjusted logistic regression models, plotted the RCSs to conduct this study, analyzed the thresholds using a two-stage logistic model. We performed stratified and interaction analyses to identify whether the relationships were stable in different subgroups. Moreover, we assessed the predictive ability of these parameters for MAFLD by plotting ROCs. We found that there was a positive correlation between TyG index and the incidence of MAFLD as well as its related parameters in the nondiabetic population.

Indexed as

Fatty LiverAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansInsulin ResistanceMaleMiddle AgedNutrition SurveysRisk FactorsMAFLDNHANESNondiabeticTyG indexTyG-WC

Identifiers

PMID39915562
PMCPMC11802835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.