Evidence map›Paper›PMID 40573619›Full record

SynthesisSensors (Basel, Switzerland)2025

Use of Smartphones and Wrist-Worn Devices for Motor Symptoms in Parkinson's Disease: A Systematic Review of Commercially Available Technologies.

Gabriele Triolo, Daniela Ivaldi, Roberta Lombardo, Angelo Quartarone, Viviana Lo Buono

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

5 authors.

Gabriele TrioloIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.ORCID 0009-0000-4999-1683
Daniela IvaldiIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.
Roberta LombardoIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.
Angelo QuartaroneIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.
Viviana Lo BuonoIRCCS Centro Neurolesi Bonino Pulejo, 98124 Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms such as tremors, rigidity, and bradykinesia. The accurate and continuous monitoring of these symptoms is essential for optimizing treatment strategies and improving patient outcomes. Traditionally, clinical assessments have relied on scales and methods that often lack the ability for continuous, real-time monitoring and can be subject to interpretation bias. Recent advancements in wearable technologies, such as smartphones, smartwatches, and activity trackers (ATs), present a promising alternative for more consistent and objective monitoring. This review aims to evaluate the use of smartphones and smart wrist devices, like smartwatches and activity trackers, in the management of PD, assessing their effectiveness in symptom evaluation and monitoring and physical performance improvement. Studies were identified by searching in PubMed, Scopus, Web of Science, and Cochrane Library. Only 13 studies of 1027 were included in our review. Smartphones, smartwatches, and activity trackers showed a growing potential in the assessment, monitoring, and improvement of motor symptoms in people with PD, compared to clinical scales and research-grade sensors. Their relatively low cost, accessibility, and usability support their integration into real-world clinical practice and exhibit validity to support PD management.

Indexed as

Parkinson DiseaseSmartphoneWearable Electronic DevicesHumansWristactivity trackersmHealthParkinson’s DiseasesmartphonesmartwatchUPDRSusability

Identifiers

PMID40573619
PMCPMC12196963

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.