Evidence map›Paper›PMID 40785408›Full record

ArticleCNS neuroscience & therapeutics2025

Identifying Risk Factors and Constructing Predictive Models for Wearing-Off and Dyskinesia in Chinese Patients With Parkinson's Disease on Long-Term Levodopa Therapy.

Jing Zhao, Yunlei Gao, Chong Shi, Jia Chen, Yanhong Wang, Jiaqi Chen, Shaochen Ma, Peifu Wang, Jilai Li, Jichen Du and 1 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jing ZhaoDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.
Yunlei GaoDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Chong ShiDepartment of Traditional Chinese Medicine, Aerospace Center Hospital, Beijing, People's Republic of China.
Jia ChenDepartment of Traditional Chinese Medicine, Aerospace Center Hospital, Beijing, People's Republic of China.
Yanhong WangDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Jiaqi ChenDepartment of Geriatrics, Aerospace Center Hospital, Beijing, People's Republic of China.
Shaochen MaDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.
Peifu WangDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.
Jilai LiDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.
Jichen DuDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.
Zhirong WanDepartment of Neurology, Aerospace Center Hospital, Beijing, People's Republic of China.ORCID 0009-0001-6104-7748

Funding

the Project of Aerospace center hospital YN202403
6 · The paper itself

Abstract

aimsThis study aimed to investigate the incidence and risk factors of motor complications including wearing-off (WO) and dyskinesia during long-term levodopa (LD) therapy in Chinese patients with Parkinson's disease (PD), and develop corresponding predictive models, thereby providing a basis for personalized treatment strategies.

methodsThis cross-sectional study included 208 consecutive PD patients who were recruited. The presence of WO and dyskinesia was assessed by a 9-item wearing-off questionnaire and the Unified Parkinson's Disease Rating Scale part IV. Univariate and multivariate logistic regression analyses were used to predict the risk factors of WO and dyskinesia. Predictive models for WO and dyskinesia were then constructed, and their diagnostic performance was evaluated using the area under the curve (AUC).

resultsThe overall prevalence rate of motor complications was 46.2% (96/208), with a prevalence of 45.7% (95/208) for WO, 22.1% (46/208) for dyskinesia, and 21.6% (45/208) for the simultaneous occurrence of WO and dyskinesia. Younger age at onset (OR 0.92, p < 0.001), higher levodopa-equivalent daily dose (LEDD) (OR 1.00, p < 0.001), and higher Hoehn-Yahr stage (OR 3.41, p < 0.001) were independent risk factors for WO. A predictive model for WO constructed using these three variables demonstrated high diagnostic efficacy with an AUC of 0.887 (95% CI 0.842-0.932), a sensitivity of 84%, and a specificity of 83%. The independent risk factors for dyskinesia included younger age at onset (OR 0.94, p < 0.001), akinetic-rigid type (OR 2.42, p = 0.034), and higher LEDD (OR 1.01, p < 0.001). A predictive model for dyskinesia constructed using these three variables yielded an AUC value of 0.829 (95% CI 0.767-0.897), with a sensitivity of 67% and a specificity of 89%. The two models were both well calibrated and had a high net clinical benefit.

conclusionOur findings suggest that the prevalence of motor complications during long-term LD treatment is relatively high among PD patients in China, with WO occurring more commonly than dyskinesia. Younger age at PD onset, higher LEDD, more severe disease, and akinetic-rigid subtype are key predictors of motor complications. The predictive models developed in this study could serve as a potential tool to assist clinicians in identifying patients at higher risk for WO and dyskinesia, and may support personalized treatment optimization.

Indexed as

Antiparkinson AgentsDyskinesia, Drug-InducedLevodopaParkinson DiseaseAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsAntiparkinson AgentsLevodopadyskinesialevodopamotor complicationsparkinson's diseaserisk factorswearing‐off phenomenon

Identifiers

PMID40785408
PMCPMC12336415

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.