Identifying metabolic parameters as key indicators of hyperuricemia and ischemic stroke comorbidity via interpretable Clinlabomics models

TyG, TG, AIP, and LCI were critical metabolic parameters for HUA-IS comorbidity, which warrant heightened attention in future comorbidity research.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2026-01-13
DOI
https://doi.org/10.3389/fendo.2025.1737419
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying metabolic parameters as key indicators of hyperuricemia and ischemic stroke comorbidity via interpretable Clinlabomics models

Mingcai Zhao, Yao Jiang, Shu Rong Chen, Hao Xu et al.
Frontiers in Endocrinology
Gout, Hyperuricemia, Uric Acid
article

Identifying metabolic parameters as key indicators of hyperuricemia and ischemic stroke comorbidity via interpretable Clinlabomics models

Mingcai Zhao, Yao Jiang, Shu Rong Chen, Hao Xu, Jimin He, Qin Li, Huaqiang Liao, Qian Wu, Da Hu
article en

Abstract

TyG, TG, AIP, and LCI were critical metabolic parameters for HUA-IS comorbidity, which warrant heightened attention in future comorbidity research.

Frontiers in EndocrinologyVol. 16
Suizhou Central Hospital (CN), Shaanxi University of Chinese Medicine (CN)
No poverty
Openalex Percentile: Top 91%
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.