Evidence map›Paper›PMID 41849761›Full record

SynthesisJournal of medical Internet research2026

Effects of Wearable Devices on Parkinson Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials Within the International Classification of Functioning, Disability, and Health Framework.

Jiarong Wu, Wanli Zang, Mingqing Fang, Ningkun Xiao, Xianzuo Zhang, Su Wang, Qiuxia Zhang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
4 · The record

Corrections and comments

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

7 authors.

Jiarong WuSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0009-0001-7862-0600
Wanli ZangSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0002-9712-4557
Mingqing FangXiangya School of Medicine, Central South University, Changsha, Hunan, China.ORCID https://orcid.org/0009-0009-8329-1467
Ningkun XiaoLaboratory for Brain and Neurocognitive Development, Department of Psychology, Institution of Humanities, Ural Federal University, Yekaterinburg, Russian Federation.ORCID https://orcid.org/0000-0002-0615-3222
Xianzuo ZhangDepartment of Orthopedics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0002-6432-7745
Su WangCollege of Sports Science and Health, University of Harbin Sport, Harbin, Heilongjiang, China.ORCID https://orcid.org/0009-0006-2414-748X
Qiuxia ZhangSchool of Physical Education, Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0002-2379-7193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson disease (PD) impairs gait, balance, and quality of life, and wearable devices have been proposed to support rehabilitation, but evidence for their clinical efficacy remains uncertain.

objectiveThis study aimed to evaluate, within the International Classification of Functioning, Disability, and Health (ICF) framework, the effects of wearable-device interventions on gait performance, balance, and health-related quality of life in people with PD by conducting a systematic review and meta-analysis of randomized controlled trials (RCTs).

methodsWe searched PubMed, Web of Science, Cochrane Library, Embase, and ClinicalTrials.gov from inception to November 18, 2025, for RCTs in people with PD comparing wearable-device interventions with control conditions. We used Hartung-Knapp random-effects models to pool mean differences (MDs) or standardized mean differences (SMDs) and reported 95% prediction intervals when ≥3 studies were pooled. Risk of bias was assessed using the Cochrane Risk of Bias (RoB) tool, and certainty of evidence was rated using Grading of Recommendations Assessment, Development, and Evaluation (GRADE).

resultsNine RCTs involving 260 participants were included. Wearable devices produced a small improvement in stride length (MD 0.10 meter, 95% CI 0.03-0.17), but there was no clear benefit for the 10-Meter Walk Test time (MD 0.04 second, 95% CI -0.06 to 0.15). Double support time showed no reduction (MD -1.59% gait cycle, 95% CI -3.79 to 0.61). Freezing of gait (Freezing of Gait Questionnaire [FOG-Q] and New Freezing of Gait Questionnaire [NFOG-Q]) did not significantly improve (SMD -0.24, 95% CI -0.72 to 0.24). Motor severity (Unified Parkinson Disease Rating Scale Part III [UPDRS III]) showed a small, nonsignificant trend favoring wearable devices (MD -2.16 points, 95% CI -4.39 to 0.07). For balance, pooled results from the Berg Balance Scale (BBS), Mini Balance Evaluation Systems Test (Mini-BESTest), and Performance-Oriented Mobility Assessment Balance Subscale (POMA balance) suggested a borderline effect (SMD 0.48, 95% CI -0.02 to 0.98). Wearable devices did not meaningfully improve Parkinson Disease Questionnaire (PDQ) scores (SMD -0.28, 95% CI -0.74 to 0.17), EQ-5D utility (MD 0.10, 95% CI -0.24 to 0.44), or Falls Efficacy Scale-International (FES-I) scores (MD -0.04, 95% CI -1.10 to 1.02). Prediction intervals frequently crossed the null, suggesting effects may vary by setting and population.

conclusionsWearable device interventions for Parkinson disease produced a small improvement on average in stride length, with no consistent benefits for other gait outcomes, balance, or patient-centered outcomes. By integrating ICF mapping with Hartung-Knapp meta-analysis, prediction intervals, and GRADE, and avoiding pooling of conceptually distinct gait measures used in prior reviews, this review clarifies where evidence is most consistent, supports using wearables as adjuncts to rehabilitation, and underscores the need for larger, longer RCTs with standardized outcomes to determine who benefits and how to implement them.

trial registrationPROSPERO CRD42024585686; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024585686.

Indexed as

International Classification of Functioning, Disability and HealthParkinson DiseaseWearable Electronic DevicesDigital HealthGaitHumansPostural BalanceQuality of LifeRandomized Controlled Trials as Topicbalance functiongait performanceInternational Classification of Functioning, Disability and Health (ICF)meta-analysiswearable devices

Identifiers

PMID41849761
PMCPMC13044512

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.