Relationship between the Chinese visceral adiposity index and gout in individuals with type 2 diabetes mellitus: a cross-sectional population-based study

This large-sample investigation of Chinese patients with T2DM indicated a strong positive link between the CVAI and gout, suggesting the potential of the CVAI for stratifying metabolic risk in this population.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2025-11-21
DOI
https://doi.org/10.3389/fnut.2025.1697822
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between the Chinese visceral adiposity index and gout in individuals with type 2 diabetes mellitus: a cross-sectional population-based study

Mengdie Chen, Qidong Zheng, Ping Feng, Yiyun Wang et al.
Frontiers in Nutrition
Gout, Hyperuricemia, Uric Acid
article

Relationship between the Chinese visceral adiposity index and gout in individuals with type 2 diabetes mellitus: a cross-sectional population-based study

Mengdie Chen, Qidong Zheng, Ping Feng, Yiyun Wang, Ningyu Cai, Xianping Zhu
article en

Abstract

This large-sample investigation of Chinese patients with T2DM indicated a strong positive link between the CVAI and gout, suggesting the potential of the CVAI for stratifying metabolic risk in this population.

Frontiers in NutritionVol. 12
Taizhou Central Hospital (CN), Yuxian People's Hospital (CN)
Chinese People’s Liberation Army
Openalex Percentile: Top 51%
Gout, Hyperuricemia, Uric Acid
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.