Evidence map›Paper›PMID 33409603›Full record

SynthesisJournal of neurology2022

Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature.

Stefania Ancona, Francesca D Faraci, Elina Khatab, Luigi Fiorillo, Oriella Gnarra, Tobias Nef, Claudio L A Bassetti, Panagiotis Bargiotas

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Role of sleep in neurodegeneration: the consensus report of the 5th Think Tank World Sleep Forum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

8 authors.

Stefania AnconaDepartment of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.
Francesca D FaraciInstitute for Information Systems and Networking, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
Elina KhatabDepartment of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus.
Luigi FiorilloInstitute for Information Systems and Networking, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
Oriella GnarraDepartment of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.
Tobias NefDepartment of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.
Claudio L A BassettiDepartment of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland.
Panagiotis BargiotasDepartment of Neurology, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland. bargiotas.panagiotis@ucy.ac.cy.ORCID http://orcid.org/0000-0001-6502-8942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, the standard practices for home-based assessments of abnormal movements in Parkinson's disease (PD) are based either on subjective tools or on objective measures that often fail to capture day-to-day fluctuations and long-term information in real-life conditions in a way that patient's compliance and privacy are secured. The employment of wearable technologies in PD represents a great paradigm shift in healthcare remote diagnostics and therapeutics monitoring. However, their applicability in everyday clinical practice seems to be still limited. We carried out a systematic search across the Medline Database. In total, 246 publications, published until 1 June 2020, were identified. Among them, 26 reports met the inclusion criteria and were included in the present review. We focused more on clinically relevant aspects of wearables' application including feasibility and efficacy of the assessment, the number, type and body position of the wearable devices, type of PD motor symptom, environment and duration of assessments and validation methodology. The aim of this review is to provide a systematic overview of the current knowledge and state-of-the-art of the home-based assessment of motor symptoms and fluctuations in PD patients using wearable technology, highlighting current problems and laying foundations for future works.

Indexed as

DyskinesiasParkinson DiseaseWearable Electronic DevicesHumansBody-mountedBody sensorsDyskinesiasHome-based systemsMotion monitoringMotor symptomsParkinson’s diseaseWireless technology

Identifiers

PMID33409603

What OpenQuestion holds

Textmetadata
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.