Evidence map›Paper›PMID 40949309›Full record

ArticleInternational journal of general medicine2025

Association Between Triglyceride-Glucose Index and Gout in Young Adults in China.

Cong Huang, Xiaodong Gu, Sudong Liu, Honghui Luo, Yiqun Luo, Yu Zhang

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Cong HuangMeizhou Clinical Institute, Shantou University Medical College, Meizhou, 514000, People's Republic of China.
Xiaodong GuInstitute of Basic Medical Sciences, Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514000, People's Republic of China.
Sudong LiuInstitute of Basic Medical Sciences, Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514000, People's Republic of China.ORCID 0000-0003-0729-9095
Honghui LuoDepartment of General Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514000, People's Republic of China.
Yiqun LuoDepartment of General Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou, 514000, People's Republic of China.
Yu ZhangMeizhou Clinical Institute, Shantou University Medical College, Meizhou, 514000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gout is a common inflammatory arthritis with a rising prevalence among young adults in China, imposing a substantial burden on patients and society. This study aims to examine the association between the triglyceride-glucose (TyG) index and the presence of gout among young Chinese adults. Methods: We conducted a retrospective, age- and sex-matched (1:4) case-control study at Meizhou People's Hospital (2019-2023). Continuous variables were summarized as mean ± SD or median (IQR) and compared with Student's Results: The study included 447 gout patients and 1788 controls (average age 34.5 ± 6.9 years). Median TyG was higher in the gout group than in controls (4.86 [0.44] vs 4.63 [0.40]; Conclusion: In this cross-sectional study of young Chinese adults, higher TyG was independently associated with the presence of gout and showed acceptable discrimination. As a routinely available metric, TyG may aid risk stratification and case-finding; prospective studies are needed to define actionable thresholds and clarify temporality.

Indexed as

epidemiologygoutinsulin resistancetriglyceride-glucose indexyoung adults

Identifiers

PMID40949309
PMCPMC12433251

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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.