Evidence map›Paper›PMID 39678227›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Sex-Based Differences in the Associations Between Obesity- and Lipid-Related Indexes and Hyperuricemia Risk in Patients with Obesity.

Kelibinuer Mutailipu, Lei Du, Junwei Guo, Shuwei Liu, Yue Chen, Liesheng Lu, Shen Qu, Haibing Chen, Le Bu

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In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
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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

9 authors.

Kelibinuer Mutailipu *Department 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
Lei Du *Department of Metabolic Surgery, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
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.
Shuwei LiuDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Institute of Obesity, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Yue ChenDepartment of Endocrinology and Metabolism, 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.
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.ORCID 0000-0003-0811-7070
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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the association of the triglyceride-glucose index (TyG) and its related parameters with the risk of hyperuricemia in patients with obesity of different sexes. Patients and Methods: In this cross-sectional study, a total of 951 patients with obesity were included. They were divided into two groups based on their serum uric acid levels, and separate analyses were conducted for males and females. Binary logistic regression analysis using the backward likelihood ratio (LR) approach was performed to investigate the association between hyperuricemia and indicators related to obesity and lipids. Results: Multivariate logistic regression analysis indicated that, across the overall population, higher quartiles of the TyG and TyG-BMI indexes were significantly associated with an increased risk of hyperuricemia (HUA) after adjusting for confounding factors. Specifically, in the fourth quartile of the TyG index, the odds ratio (OR) for HUA was 3.16 (95% confidence interval [CI]: 1.39-7.18), and for the TyG-BMI index, the OR was 4.06 (95% CI: 1.73-9.52) in the fully adjusted model. In sex-specific analyses, for males, those in the third quartile of the TyG-WC index had a higher likelihood of HUA (OR, 8.13; 95% CI, 2.28-29.01) compared to the lowest quartile. Among females, an elevated TyG index was significantly associated with increased HUA risk, with an OR of 5.13 (95% CI: 1.66-15.92) in the fourth quartile. Conclusion: Sex-based differences exist regarding the risk factors for hyperuricemia in patients with obesity. An elevated TyG-WC index is linked to an increased risk in males, while an elevated TyG index is associated with an increased risk in females.

Indexed as

hyperuricemiaobesityObesity-and lipid-related indexestriglyceride glucose index

Identifiers

PMID39678227
PMCPMC11639956

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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.