Evidence map›Paper›PMID 38476672›Full record

ArticleFrontiers in endocrinology2024

Association between TyG index trajectory and new-onset lean NAFLD: a longitudinal study.

Haoshuang Liu, Jingfeng Chen, Qian Qin, Su Yan, Youxiang Wang, Jiaoyan Li, Suying Ding

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  13. Association of past obesity and BMI trajectories with cancer mortality: a prospective cohort study.Archives of public health = Archives belges de sante publique · 2025
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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

7 authors.

Haoshuang LiuHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jingfeng ChenHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qian QinHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Su YanHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Youxiang WangHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiaoyan LiHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Suying DingHealth Management Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The purpose of this manuscript is to identify longitudinal trajectories of changes in triglyceride glucose (TyG) index and investigate the association of TyG index trajectories with risk of lean nonalcoholic fatty liver disease (NAFLD). Methods: Using data from 1,109 participants in the Health Management Cohort longitudinal study, we used Latent Class Growth Modeling (LCGM) to develop TyG index trajectories. Using a Cox proportional hazard model, the relationship between TyG index trajectories and incident lean NAFLD was analyzed. Restricted cubic splines (RCS) were used to visually display the dose-response association between TyG index and lean NAFLD. We also deployed machine learning (ML) via Light Gradient Boosting Machine (LightGBM) to predict lean NAFLD, validated by receiver operating characteristic curves (ROCs). The LightGBM model was used to create an online tool for medical use. In addition, NAFLD was assessed by abdominal ultrasound after excluding other liver fat causes. Results: The median age of the population was 46.6 years, and 440 (39.68%) of the participants were men. Three distinct TyG index trajectories were identified: "low stable" (TyG index ranged from 7.66 to 7.71, n=206, 18.5%), "moderate stable" (TyG index ranged from 8.11 to 8.15, n=542, 48.8%), and "high stable" (TyG index ranged from 8.61 to 8.67, n=363, 32.7%). Using a "low stable" trajectory as a reference, a "high stable" trajectory was associated with an increased risk of lean-NAFLD ( Conclusion: The TyG index serves as a promising noninvasive marker for lean NAFLD, with significant implications for clinical practice and public health policy.

Indexed as

Non-alcoholic Fatty Liver DiseaseFemaleGlucoseHumansLongitudinal StudiesMachine LearningMaleMiddle AgedTriglyceridesGlucoseTriglycerideshealth managementlatent class growth modellean nonalcoholic fatty liver diseasetrajectorytriglyceride-glucose index

Identifiers

PMID38476672
PMCPMC10927994

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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.