Association of cardiometabolic risk burden with gastrointestinal bleeding in aspirin users

Aspirin users with higher burden of cardiometabolic risk experienced significantly higher risk of GI bleeding, calling for concern of tailored strategy for GI bleeding prevention in aspirin users related to cardiometabolic risk burden.

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2025-10-15
DOI
https://doi.org/10.1186/s12876-025-04347-3
Primary Topic
Antiplatelet Therapy and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Association of cardiometabolic risk burden with gastrointestinal bleeding in aspirin users

Jiamin Yan, Yajing Wei, Ziting Gao, Wuqing Huang et al.
BMC Gastroenterology
Antiplatelet Therapy and Cardiovascular Diseases
article

Association of cardiometabolic risk burden with gastrointestinal bleeding in aspirin users

Jiamin Yan, Yajing Wei, Ziting Gao, Wuqing Huang, Jun Xiao, Ziyi Qiu, Hongye Wei
article en

Abstract

Aspirin users with higher burden of cardiometabolic risk experienced significantly higher risk of GI bleeding, calling for concern of tailored strategy for GI bleeding prevention in aspirin users related to cardiometabolic risk burden.

BMC GastroenterologyVol. 25(1)
Fujian Medical University (CN), Union Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Medical University
Openalex Percentile: Top 56%
Antiplatelet Therapy and Cardiovascular Diseases
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.