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. 2024 Oct;11(10):2548-2562.
doi: 10.1002/acn3.52160. Epub 2024 Sep 5.

Innovative technology-based interventions in Parkinson's disease: A systematic review and meta-analysis

Affiliations

Innovative technology-based interventions in Parkinson's disease: A systematic review and meta-analysis

Chun En Yau et al. Ann Clin Transl Neurol. 2024 Oct.

Abstract

Objective: Novel technology-based interventions have the potential to improve motor symptoms and gait in Parkinson's disease (PD). Promising treatments include virtual-reality (VR) training, robotic assistance, and biofeedback. Their effectiveness remains unclear, and thus, we conducted a Bayesian network meta-analysis.

Methods: We searched the Medline, Embase, Cochrane CENTRAL, and Clinicaltrials.gov databases until 2 April 2024 and only included randomized controlled trials. Outcomes included changes in UPDRS-III/MDS-UPDRS-III score, stride length, 10-meter walk test (10MWT), timed up-and-go (TUG) test, balance scale scores and quality-of-life (QoL) scores. Results were reported as mean differences (MD) or standardized mean differences (SMD), with 95% credible intervals (95% CrI).

Results: Fifty-one randomized controlled trials with 2095 patients were included. For UPDRS (motor outcome), all interventions had similar efficacies. VR intervention was the most effective in improving TUG compared with control (MD: -4.36, 95% CrI: -8.57, -0.35), outperforming robotic, exercise, and proprioceptive interventions. Proprioceptive intervention significantly improved stride length compared to control intervention (MD: 0.11 m, 95% CrI: 0.03, 0.19), outperforming VR, robotic and exercise interventions. Virtual reality improved balance scale scores significantly compared to exercise intervention (SMD: 0.75, 95% CrI: 0.12, 1.39) and control intervention (SMD: 1.42, 95% CrI: 0.06, 2.77). Virtual reality intervention significantly improved QoL scores compared to control intervention (SMD: -0.95, 95% CrI: -1.43, -0.52), outperforming Internet-based interventions.

Interpretation: VR-based and proprioceptive interventions were the most promising interventions, consistently ranking as the top treatment choices for most outcomes. Their use in clinical practice could be helpful in managing motor symptoms and QoL in PD.

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Conflict of interest statement

The authors do not have any competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta‐Analyses flow diagram.
Figure 2
Figure 2
League table heat plot comparing changes in Unified Parkinson's Disease Rating Scale scores. A blue cell indicates a positive value, and a yellow cell indicates a negative value. A negative value indicates an improvement in the outcome (favoring the treatment arm).
Figure 3
Figure 3
League table heat plot comparing changes in timed up‐and‐go test timings (above) and balance scale scores (below). A blue cell indicates a positive value, and a yellow cell indicates a negative value. A negative value (above) and a positive value (below) indicates an improvement in the outcome (favoring the treatment arm).
Figure 4
Figure 4
League table heat plot comparing changes in stride length. A blue cell indicates a positive value, and a yellow cell indicates a negative value. A positive value indicates an improvement in the outcome (favoring the treatment arm).
Figure 5
Figure 5
League table heat plot comparing changes in 10‐meter walk test. A blue cell indicates a positive value, and a yellow cell indicates a negative value. A positive value indicates an improvement in the outcome (favoring the treatment arm).
Figure 6
Figure 6
League table heat plot comparing changes in quality‐of‐life measures. A blue cell indicates a positive value, and a yellow cell indicates a negative value. A negative value indicates an improvement in the outcome (favoring the treatment arm).

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