Validation of an aspiration risk prediction model for Parkinson’s disease based on nomogram: a single-center study

This nomogram effectively stratified aspiration risk in patients with PD, facilitating earlier detection and intervention. Future studies including more clinical variables and larger multicenter cohorts are required to enhance the predictive accuracy and generalizability of the model.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2025-12-08
DOI
https://doi.org/10.7717/peerj.20443
Citations
1
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of an aspiration risk prediction model for Parkinson’s disease based on nomogram: a single-center study

Ling Sha, Yun Wei, Yan Xu
1 citations
PeerJ
Parkinson's Disease Mechanisms and Treatments
1.39
article

Validation of an aspiration risk prediction model for Parkinson’s disease based on nomogram: a single-center study

Ling Sha, Yun Wei, Yan Xu
article en
1 citations

Abstract

This nomogram effectively stratified aspiration risk in patients with PD, facilitating earlier detection and intervention. Future studies including more clinical variables and larger multicenter cohorts are required to enhance the predictive accuracy and generalizability of the model.

PeerJVol. 13
Nanjing Drum Tower Hospital (CN)
Openalex Percentile: Top 13%
Parkinson's Disease Mechanisms and Treatments
1.39
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.