Evidence map›Paper›PMID 39901609›Full record

ArticleEndocrinology, diabetes & metabolism2025

Association Between TyG-BMI Index and Hyperuricemia in Adult Women.

Kelibinuer Mutailipu, Junwei Guo, Jiajing Yin, Yue Wang, Liesheng Lu, Xuyang Jia, Jie Zhang, Shen Qu, Haibing Chen, Le Bu

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In one paragraph

Article in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Kelibinuer MutailipuDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.ORCID 0009-0006-4047-6515
Junwei GuoDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Jiajing YinDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Yue WangDepartment of Metabolic Surgery, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Liesheng LuDepartment of Metabolic Surgery, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Xuyang JiaDepartment of Metabolic Surgery, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Jie ZhangDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Shen QuDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Haibing ChenDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Le BuDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.

Funding

National Key Research and Development Program of China 2022YFC2505202
6 · The paper itself

Abstract

purposeThis study aimed to explore the relationship between hyperuricemia (HUA), the triglyceride-glucose index (TyG) and its derivatives in adult women.

methodsA cross-sectional analysis was conducted on 1105 female patients from Shanghai Tenth People's Hospital. Participants were divided into HUA (n = 331) and non-HUA (n = 774) groups. Clinical and laboratory data were collected, and indices such as body mass index (BMI), TyG and TyG-BMI were calculated. Statistical analyses included univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analysis.

resultsThe HUA group showed higher BMI, blood pressure and metabolic parameters. TyG, TyG-BMI and BMI were positively correlated with uric acid levels. ROC analysis revealed that TyG-BMI (AUC = 0.877) had better predictive power for HUA than TyG (AUC = 0.829) or BMI (AUC = 0.867). Multivariate analysis showed TyG-BMI and BMI as independent predictors, with women in the highest quartiles having a 3.111-fold and 2.779-fold higher risk for HUA, respectively.

conclusionTyG-BMI is the most effective predictor of HUA in women, surpassing TyG and BMI alone. It offers a practical tool for early identification and intervention in women at risk of HUA.

Indexed as

Blood GlucoseBody Mass IndexHyperuricemiaTriglyceridesAdultAgedChinaCross-Sectional StudiesFemaleHumansMiddle AgedRisk FactorsROC CurveUric AcidBlood GlucoseTriglyceridesUric AcidBMIhyperuricemiaTyG‐BMI indexTyG indexwomen

Identifiers

PMID39901609
PMCPMC11791015

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Registered trials

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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.