Association between estimated glucose disposal rate and incident cardiovascular disease in a population with Cardiovascular-Kidney-Metabolic syndrome stages 0–3: insights from CHARLS

In a population with CKM stages 0-3, a significant negative nonlinear relationship was observed between eGDR and CVD risk, suggesting that eGDR might function as a useful metric for evaluating CVD risk.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-02-24
DOI
https://doi.org/10.3389/fcvm.2025.1537774
Citations
13
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
17.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between estimated glucose disposal rate and incident cardiovascular disease in a population with Cardiovascular-Kidney-Metabolic syndrome stages 0–3: insights from CHARLS

Guijun Huo, Dayong Zhou, Yaoliang Tang, Ziyi Tan
13 citations
Frontiers in Cardiovascular Medicine
Liver Disease Diagnosis and Treatment
17.60
article

Association between estimated glucose disposal rate and incident cardiovascular disease in a population with Cardiovascular-Kidney-Metabolic syndrome stages 0–3: insights from CHARLS

Guijun Huo, Dayong Zhou, Yaoliang Tang, Ziyi Tan
article en
13 citations

Abstract

In a population with CKM stages 0-3, a significant negative nonlinear relationship was observed between eGDR and CVD risk, suggesting that eGDR might function as a useful metric for evaluating CVD risk.

Frontiers in Cardiovascular MedicineVol. 12
Suzhou Municipal Hospital (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 1%
Liver Disease Diagnosis and Treatment
17.60
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.