Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia

This study developed and validated a prediction model for long-term mortality in older patients with CAP, showing better discriminatory power and accuracy over CURB-65.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2025-04-24
DOI
https://doi.org/10.1186/s12877-025-05834-8
Citations
2
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
2.71

Funders

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

Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia

Xuefeng Zhong, Yuanqi Wang, Mengyuan Wang, Yanming Li et al.
2 citations
BMC Geriatrics
Pneumonia and Respiratory Infections
2.71
article

Development and validation of a clinical-friendly model for predicting 180-day mortality in the older with community-acquired pneumonia

Xuefeng Zhong, Yuanqi Wang, Mengyuan Wang, Yanming Li, Wenshu Jiao, Jin Jin, Lixue Huang, Bingxuan Weng, Xunliang Tong
article en
2 citations

Abstract

This study developed and validated a prediction model for long-term mortality in older patients with CAP, showing better discriminatory power and accuracy over CURB-65.

BMC GeriatricsVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN)
Chinese Academy of Medical Sciences
Good health and well-being
Openalex Percentile: Top 11%
Pneumonia and Respiratory Infections
2.71
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.