Evidence map›Paper›PMID 42591686›Full record

SynthesisFrontiers in neurology

Effects of digital technology-based interventions on balance function and non-motor outcomes in Parkinson's disease: a systematic review and meta-analysis.

Bowen Zheng, Wei Wang, Amanda Lee, Weicui Gao, Xiaolei Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bowen ZhengSchool of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.
Wei WangDepartment of Infection Management, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Amanda LeeFaculty of Health and Education, School of Nursing and Public Health, Manchester Metropolitan University, Manchester, United Kingdom.
Weicui GaoSchool of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.
Xiaolei WangSchool of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Various digital technologies have been adopted for rehabilitation training and extended care in patients with Parkinson's disease (PD), yet their effectiveness remains unclear. This review aims to evaluate the effectiveness of digital technology-based interventions on balance and non-motor outcomes (cognitive function, depression, and quality of life) in individuals with PD. Methods: We systematically searched six electronic databases (PubMed, EMBASE, Web of Science, CINAHL, Cochrane Library, and PsycINFO) in March 2026. Two reviewers independently screened randomized controlled trials (RCTs) meeting the inclusion criteria and assessed methodological quality using the Cochrane RoB Tool. We calculated standardized mean differences (SMDs) and 95% confidence intervals (CIs) to pool effect sizes for studies with consistent outcome measures, and performed subgroup analyses by intervention type, duration, and frequency. Results: We included 29 RCTs with 1,298 PD patients. Meta-analysis revealed that versus the control group, digital technology-based interventions were associated with favorable improvements in balance function (SMD = 0.62, 95%CI 0.16 to 1.09) and cognitive function (SMD = 0.50, 95% CI 0.18 to 0.83) in patients with PD. No significant improvements were found in depression (SMD = -0.17, 95% CI -0.42 to 0.09) or quality of life (SMD = 0.01, 95% CI -0.15 to 0.16). Exploratory subgroup analyses suggested that virtual reality (SMD = 0.88, Conclusion: Digital technology-based interventions have the potential to enhance balance and cognitive function in PD patients, while their effects on depression and quality of life remain inconclusive. Exploratory subgroup analyses showed that virtual reality, robotic training, intervention duration ≥8 weeks, frequency ≥3 sessions per week, and active exercise training were associated with improvements in balance function, though these findings should be considered hypothesis-generating. Given the high heterogeneity, unstable sensitivity analysis for the primary outcome, high risk of performance bias across all trials, and unclear allocation concealment in most studies, the current evidence remains preliminary, and its clinical value requires confirmation through further high-quality research. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42024628620, identifier (CRD42024628620).

Indexed as

balance functiondigital technologymeta-analysisnon-motor outcomesParkinson’s disease

Identifiers

PMID42591686
PMCPMC13462945

What OpenQuestion holds

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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.