Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia

The risk prediction model for falls in elderly lung cancer patients with sarcopenia, which is based on independent predictors, demonstrated good predictive performance. This model facilitates the timely identification of high-risk patients, providing scientific evidence to support the development of precise clinical management strategies.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-06-20
DOI
https://doi.org/10.3389/fonc.2025.1533368
Citations
1
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
1.16

Funders

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

Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia

Jiaojiao Xu, Haiping Ma, Yu Jiao, Mengying Hu et al.
1 citations
Frontiers in Oncology
Nutrition and Health in Aging
1.16
article

Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia

Jiaojiao Xu, Haiping Ma, Yu Jiao, Mengying Hu, Qing Ai, Hequn Wei, Jun Zhang, Xiao Han, Qing Wang
article en
1 citations

Abstract

The risk prediction model for falls in elderly lung cancer patients with sarcopenia, which is based on independent predictors, demonstrated good predictive performance. This model facilitates the timely identification of high-risk patients, providing scientific evidence to support the development of precise clinical management strategies.

Frontiers in OncologyVol. 15
Nanchang University (CN), First Affiliated Hospital of Jiangxi Medical College (CN), Second Affiliated Hospital of Nanchang University (CN)
Nanchang University, Education Department of Jiangxi Province
Zero hunger
Openalex Percentile: Top 21%
Nutrition and Health in Aging
1.16
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.