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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3660) Neurology and Neurosciences (384) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2371) Chronic Conditions (556)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79935, first published .
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The Effects of Digital Health Interventions on Motor Symptoms, Nonmotor Symptoms, and Quality of Life in Patients With Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

The Effects of Digital Health Interventions on Motor Symptoms, Nonmotor Symptoms, and Quality of Life in Patients With Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Authors of this article:

Ruwen Liu1, 2 Author Orcid Image ;   Sirui Zhang1, 2 Author Orcid Image ;   Yi Xiao1, 2 Author Orcid Image ;   Yangfan Cheng1, 2 Author Orcid Image ;   Huifang Shang1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Pepa L, Capecci M, Antoniello A, Spalazzi L, Baldini N, Andrenelli E, Gandolfi M, Bonardi G, Tinazzi M, Ceravolo M. Machine Learning Unveils System-Level Signatures of Integrated Motor–Non-Motor Dysfunction in Parkinson’s Disease During Telerehabilitation. IEEE Access 2026;14:82050 View
  2. Zheng B, Wang W, Lee A, Gao W, Wang X. Effects of digital technology-based interventions on balance function and non-motor outcomes in Parkinson’s disease: a systematic review and meta-analysis. Frontiers in Neurology 2026;17 View