Evidence mapPaperPMID 40695968Full record

ArticleScientific reports2025

Association between triglyceride-glucose index and incidence risk of gout: a nationwide cohort study.

Yoonkyung Chang, Ju-Young Park, Tae-Jin Song

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Yoonkyung Chang *Department of Neurology, Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
Ju-Young Park *Department of Statistics, Yeungnam University, Gyeongsan, Korea.
Tae-Jin SongDepartment of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul, 07804, Republic of Korea. knstar@ewha.ac.kr.ORCID http://orcid.org/0000-0002-9937-762X

Funding

a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea RS-2023-00262087the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) 2022-0-00621
6 · The paper itself

Abstract

The global burden of gout is substantial and expected to increase. We investigated the relationship between the triglyceride-glucose (TyG) index, a biomarker of insulin resistance, and gout risk in the general population over time. This study was conducted using data from the National Health Screening Cohort Database of South Korea (2002-2019) among 300,107 participants who had no history of gout and underwent more than three repeated TyG index measurements. During the median of 9.62 years (interquartile range 8.72-10.53), 14,116 individuals (4.72%) developed gout. In a multivariable time-dependent Cox proportional hazards model, a per-unit increase in the TyG index significantly increased gout risk (hazard ratio [HR] 1.150; 95% confidence interval [CI] 1.116-1.184). The multivariate Cox proportional hazards model for average TyG index quartiles was positively associated with the incidence risk of gout, accompanied by a significant trend (HR 1.326, 95% CI 1.260-1.397). This association followed a J-shaped pattern with increased risk. Our findings highlight a strong link between elevated TyG index and gout incidence in the general population, suggesting that the TyG index may serve as a valuable predictor of gout risk.

Indexed as

Blood GlucoseGoutTriglyceridesAdultAgedBiomarkersCohort StudiesFemaleHumansIncidenceInsulin ResistanceMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk FactorsBiomarkersBlood GlucoseTriglyceridesDiabetes mellitusGoutInsulin resistanceTriglyceride-glucose index

Identifiers

PMID40695968
PMCPMC12284181

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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.