A nomogram model in elderly patients with coronary heart disease for predicting prognosis: research based on a real-world registry in China

The established MACCE risk nomogram prediction model for elderly patients with CHD could effectively identify high-risk elderly patients with CHD.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-12-09
DOI
https://doi.org/10.3389/fcvm.2025.1560878
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A nomogram model in elderly patients with coronary heart disease for predicting prognosis: research based on a real-world registry in China

Lin Yang, Peng Wen-xing, Yunnan Zhang, Xiujin Shi
Frontiers in Cardiovascular Medicine
Cardiovascular Disease and Adiposity
article

A nomogram model in elderly patients with coronary heart disease for predicting prognosis: research based on a real-world registry in China

Lin Yang, Peng Wen-xing, Yunnan Zhang, Xiujin Shi
article en

Abstract

The established MACCE risk nomogram prediction model for elderly patients with CHD could effectively identify high-risk elderly patients with CHD.

Frontiers in Cardiovascular MedicineVol. 12
Capital Medical University (CN), Beijing Anzhen Hospital (CN), Henan Cancer Hospital (CN)
Capital Medical University, Chinese Pharmaceutical Association
Openalex Percentile: Top 44%
Cardiovascular Disease and Adiposity
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.