Evidence map›Paper›PMID 39113110›Full record

ArticleJournal of health, population, and nutrition2024

Association between triglyceride glycemic index and gout in US adults.

Tao Li, Huilan Zhang, Qianyu Wu, Siwei Guo, Wanqin Hu

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Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. [Association of metabolic syndrome and its components with gout: an analysis based on a large-scale health survey database].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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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

5 authors.

Tao LiDepartment of Pathophysiology, Medical College, Jiaying University, Meizhou, Guangdong Province, China.
Huilan ZhangDepartment of Pathophysiology, Medical College, Jiaying University, Meizhou, Guangdong Province, China.
Qianyu WuDepartment of Pathophysiology, Medical College, Jiaying University, Meizhou, Guangdong Province, China.
Siwei GuoDepartment of Pathophysiology, Medical College, Jiaying University, Meizhou, Guangdong Province, China.
Wanqin HuDepartment of Nursing, Medical College, Jiaying University, Meizhou, Guangdong Province, China. huwanqin@hunnu.edu.cn.

Funding

Guangdong MedicalScience and Technology Research Funding A2024440Innovation and entrepreneurship training program for students of Jiaying University S202110582039Scientific Research and Growth Fund for Young Teachers of Medical School of Jiaying University 2022A01
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) has been linked to the development of gout. The triglyceride glycemic (TyG) index is a useful biomarker of IR, and the evidences between TyG and gout are limited. Therefore, this study aimed to examine the association between the TyG index and gout in the United States (U.S).

methodsThe cross-sectional study was conducted among adults with complete TyG index and gout data in the 2007-2017 National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated as fasting triglycerides (mg/dl) * fasting glucose (mg/dl)/2. Gout was assessed by self-report questionnaire (MCQ160n). Weighted chi-squared and weighted Student's t-test were used to assess group differences. Weighted multivariable logistic regression analysis, subgroup analysis, and interaction tests were used to examine the TyG index and gout association.

resultsThe final participants were 11,768; 5910 (50.32%) were female, 7784 (73.26%) were 18-60 years old, 5232 (69.63%) were white, and 573 (5.12%) had gout. After adjusting for all covariates, the TyG index was positively associated with gout; each unit increase in TyG index was associated with 40% higher odds of gout (odds ratio (OR), 1.40; 95% CI: 1.82-2.66; p < 0.0001). Participants in the highest TyG index tertile group were at high risk of gout (odds ratio (OR), 1.64; 95% CI: 1.06-2.54, p = 0.03) versus those in the lowest tertile group. Interaction tests showed no significant effect of age, race, marital status, PIR level, education, BMI, smoking status, drinking status, hypertension, and DM on this association between TyG index and gout (p for interaction > 0.05).

conclusionsIn this large cross-sectional study, our results suggested that a higher TyG index was associated with an increased likelihood of gout in U.S. adults. Our findings highlight that the TyG index is a reliable biomarker of IR; management of IR among adults may prevent or alleviate the development of gout; meanwhile, the TyG index may be a simple and cost-effective method to detect gout.

Indexed as

Glycemic IndexGoutNutrition SurveysTriglyceridesAdolescentAdultBiomarkersBlood GlucoseCross-Sectional StudiesFemaleHumansInsulin ResistanceMaleMiddle AgedRisk FactorsUnited StatesBiomarkersBlood GlucoseTriglyceridesCross-sectional studyGoutInsulin resistanceNational Health and Nutrition Examination SurveyTriglyceride glycemic index

Identifiers

PMID39113110
PMCPMC11308556

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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.