Evidence map›Paper›PMID 40028208›Full record

ArticlePeerJ2025

Association of Chinese visceral adiposity index with asymptomatic hyperuricemia incidence in type 2 diabetes: a cross-sectional study.

Qing Wang, Tian Liu, Changxin Jia, Ping Wang, Yangang Wang, Qing He

Abstract read
In one paragraph

Article in PeerJ, 2025. 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

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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

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

6 authors.

Qing Wang *Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China.
Tian Liu *Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China.
Changxin JiaDepartment of Anesthesiology, Affiliated Hospital of Qingdao University, Qingdao, China.
Ping WangDepartment of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Yangang WangDepartment of Endocrinology and Metabolism, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qing HeDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous research has shown a correlation between high visceral fat levels and hyperuricemia incidence. The Chinese Visceral Adiposity Index (CVAI) assessed visceral fat status in the Chinese population. Our study investigates the correlation between CVAI and asymptomatic hyperuricemia in type 2 diabetes patients. Methods: This cross-sectional study analyzed 1,588 hospitalized type 2 diabetes patients to investigate the association between CVAI and hyperuricemia. CVAI was included in the logistic regression analysis as both a continuous and categorical variable, and restricted cubic splines were used to assess the dose-response relationship. Additionally, subgroup analyses were performed to investigate potential interactions among variables. The predictive capability of CVAI was assessed using the receiver operating characteristic (ROC) curve based on the basic model. Results: The CVAI quartile group analysis revealed a higher prevalence of hyperuricemia with increasing CVAI levels. CVAI is significantly associated with hyperuricemia, as identified through multifactorial logistic regression analysis. After adjusting for all covariates, the odds ratios for CVAI in the second, third, and fourth quartiles were significantly higher than in the lowest quartile, with values of 2.688 (95% CI [1.301-5.554], Conclusion: This study found a positive correlation between CVAI and hyperuricemia incidence in type 2 diabetes patients. Consequently, CVAI may reliably indicate hyperuricemia in this patient population.

Indexed as

AdiposityDiabetes Mellitus, Type 2HyperuricemiaIntra-Abdominal FatAdultAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansIncidenceMaleMiddle AgedRisk FactorsCross-sectional studyCVAIHyperuricemiaType 2 diabetes

Identifiers

PMID40028208
PMCPMC11871898

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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.