Evidence map›Paper›PMID 35788914›Full record

ArticleActa neurologica Scandinavica2022

Hands-feet wireless devices: Test-retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring.

Carlo Maremmani, Erika Rovini, Stefano Salvadori, Alessandro Pecori, Jacopo Pasquini, Andrea Ciammola, Simone Rossi, Giulia Berchina, Roberto Monastero, Filippo Cavallo

Abstract read
In one paragraph

Article in Acta neurologica Scandinavica, 2022. 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.

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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

10 authors.

Carlo MaremmaniUnit of Neurology, Ospedale Apuane, Azienda USL Toscana Nord Ovest, Massa, Italy.ORCID https://orcid.org/0000-0001-8229-2358
Erika RoviniDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-7906-9013
Stefano SalvadoriInstitute of Clinical Physiology, National Research Council (CNR), Pisa, Italy.ORCID https://orcid.org/0000-0002-1266-3931
Alessandro PecoriInstitute of Clinical Physiology, National Research Council (CNR), Pisa, Italy.
Jacopo PasquiniDepartment of Neurology - Stroke Unit and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.ORCID https://orcid.org/0000-0003-1856-2995
Andrea CiammolaDepartment of Neurology - Stroke Unit and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Simone RossiDepartment of Biomedical and Neuromotor Sciences University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7044-983X
Giulia BerchinaUnit of Neurology, Ospedale Apuane, Azienda USL Toscana Nord Ovest, Massa, Italy.
Roberto MonasteroDepartment of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0002-2829-523X
Filippo CavalloDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0001-7432-5033

Funding

Azienda Usl Toscana nord ovest, Regione Toscana, ItaliaRegione Toscana CUP J52I16000170002Regione Toscana FAS SALUTE 2014Regione Toscana PAR FAS 2007-2013
6 · The paper itself

Abstract

backgroundTelemonitoring, a branch of telemedicine, involves the use of technological tools to remotely detect clinical data and evaluate patients. Telemonitoring of patients with Parkinson's disease (PD) should be performed using reliable and discriminant motor measures. Furthermore, the method of data collection and transmission, and the type of subjects suitable for telemonitoring must be well defined.

objectiveTo analyze differences in patients with PD and healthy controls (HC) with the wearable inertial device SensHands-SensFeet (SH-SF), adopting a standardized acquisition mode, to verify if motor measures provided by SH-SF have a high discriminating capacity and high intraclass correlation coefficient (ICC).

methodsAltogether, 64 patients with mild-to-moderate PD and 50 HC performed 14 standardized motor activities for assessing bradykinesia, postural and resting tremors, and gait parameters. SH-SF inertial devices were used to acquire movements and calculate objective motor measures of movement (total: 75). For each motor task, five or more biomechanical parameters were measured twice. The results were compared between patients with PD and HC.

resultsFifty-eight objective motor measures significantly differed between patients with PD and HC; among these, 32 demonstrated relevant discrimination power (Cohen's d > 0.8). The test-retest reliability was excellent in patients with PD (median ICC = 0.85 right limbs, 0.91 left limbs) and HC (median ICC = 0.78 right limbs, 0.82 left limbs).

conclusionIn a supervised environment, the SH-SF device provides motor measures with good results in terms of reliability and discriminant ability. The reliability of SH-SF measurements should be evaluated in an unsupervised home setting in future studies.

Indexed as

Parkinson DiseaseWearable Electronic DevicesFootGaitHumansReproducibility of Resultsbiomechanical parametersmotor function assessmentParkinson's diseasesubclinical motor abnormalitiestelemedicinetelemonitoringwearable sensors

Identifiers

PMID35788914
PMCPMC9541466

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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.