Parkinson's disease motor intervention patterns: a network meta-analysis based on patient motor function.

Area of Science:

• Neurology
• Rehabilitation Medicine
• Exercise Science

Background:

• Parkinson's disease (PD) significantly impairs motor function, leading to reduced independence and quality of life.
• Key PD motor symptoms include bradykinesia and rigidity, which progressively worsen over time.
• Effective motor interventions are crucial for managing PD progression and improving patient outcomes.

Purpose of the Study:

• To systematically evaluate and rank motor interventions for Parkinson's disease using network meta-analysis.
• To provide evidence-based recommendations for selecting optimal exercise strategies for PD patients.
• To quantify the efficacy of various exercises in improving motor function in individuals with Parkinson's disease.

Main Methods:

• A systematic literature search was conducted across major biomedical databases for randomized controlled trials (RCTs) published in English.
• Data from 111 RCTs involving 5,358 participants were analyzed using network meta-analysis.
• Standardized mean differences (SMD) and surface under the cumulative ranking curves (SUCRA) were used to assess and compare intervention effectiveness.

Main Results:

• Archery exercise demonstrated significant improvement in MDS-UPDRS-III scores (SUCRA=95.6%).
• High-intensity agility training significantly improved the time-up-and-go test (SUCRA=99.7%).
• Dance and Tai Chi exercises showed significant improvements in balance (Mini-BES Test, Berg Balance Scale) and gait (6-min walk test).

Conclusions:

• Archery, dance, Tai Chi, and high-intensity agility exercises are superior in enhancing motor function for Parkinson's disease patients.
• These specific exercise modalities offer significant benefits compared to routine care.
• The findings support the integration of these targeted exercises into PD management plans.