Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study

The nomogram based on routine clinical data in this study, after internal validation, can effectively predict the risk of PSS and provides a practical decision-making tool for clinicians. However, future multi-centre external validation is still required to confirm its broad applicability.

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Publication Details

Journal
Annals of Medicine
Published
2025-12-23
DOI
https://doi.org/10.1080/07853890.2025.2604857
Primary Topic
Botulinum Toxin and Related Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study

Jianling Deng, Qian Xie, Aiguo Xue, Xuanling Cheng et al.
Annals of Medicine
Botulinum Toxin and Related Neurological Disorders
article

Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study

Jianling Deng, Qian Xie, Aiguo Xue, Xuanling Cheng, Shuxiong Luo, Jingling Zhu, Qing Song
article en

Abstract

The nomogram based on routine clinical data in this study, after internal validation, can effectively predict the risk of PSS and provides a practical decision-making tool for clinicians. However, future multi-centre external validation is still required to confirm its broad applicability.

Annals of MedicineVol. 58(1)
Guangzhou University of Chinese Medicine (CN), Beijing University of Chinese Medicine (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Botulinum Toxin and Related Neurological Disorders
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