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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
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Innovative technology-based interventions in Parkinson's disease: A systematic review and meta-analysis
Chun En Yau1,2, Eric Chi Kiat Ho1,2, Natasha Yixuan Ong1,2
1Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Annals of Clinical and Translational Neurology
|September 5, 2024
Summary
Virtual reality (VR) and proprioceptive interventions show promise for improving motor symptoms and quality of life in Parkinson's disease (PD). These novel technology-based treatments offer effective management options for patients.
Area of Science:
- Neurology
- Rehabilitation Science
- Biomedical Engineering
Background:
- Novel technology-based interventions, including virtual reality (VR) training, robotic assistance, and biofeedback, are being explored to enhance motor function and gait in Parkinson's disease (PD).
- The comparative effectiveness of these emerging treatments for PD symptom management remains incompletely understood, necessitating rigorous analysis.
Purpose of the Study:
- To conduct a Bayesian network meta-analysis evaluating the efficacy of technology-based interventions for improving motor symptoms and quality of life (QoL) in Parkinson's disease (PD).
Main Methods:
- A systematic search of major databases (Medline, Embase, Cochrane CENTRAL, Clinicaltrials.gov) was performed, including only randomized controlled trials (RCTs) published up to April 2, 2024.
- Key outcomes assessed included changes in motor function (UPDRS-III/MDS-UPDRS-III), gait parameters (stride length, 10-meter walk test, timed up-and-go), balance, and QoL.
- Results were synthesized using Bayesian network meta-analysis, reporting mean differences (MD) or standardized mean differences (SMD) with 95% credible intervals (95% CrI).
Main Results:
- The analysis included 51 RCTs involving 2095 patients. While all interventions showed similar efficacy for UPDRS motor scores, virtual reality (VR) intervention was most effective in improving the timed up-and-go (TUG) test.
- Proprioceptive intervention significantly enhanced stride length compared to control, outperforming VR, robotic, and exercise interventions.
- VR intervention demonstrated significant improvements in balance scale scores and quality of life (QoL) compared to control and other interventions.
Conclusions:
- Virtual reality (VR)-based and proprioceptive interventions emerged as the most promising treatments, consistently ranking highest across multiple outcome measures for Parkinson's disease (PD).
- These interventions hold significant potential for integration into clinical practice to effectively manage motor symptoms and improve the quality of life for individuals with PD.
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