Evidence map›Paper›PMID 40660084›Full record

ArticleClinical rehabilitation2025

A personalised, gait training telerehabilitation programme for people with Parkinson's Disease: A long-term pilot study.

Giovanna Lopane, Ilaria D'Ascanio, Mattia Corzani, Valeria Petrone, Giovanna Calandra-Buonaura, Fabio La Porta, Pietro Cortelli, Eran Gazit, Marina Brozgol, Pablo Thumm Cornejo and 6 more

Abstract readClinical StudyMulticenter Study
In one paragraph

Article in Clinical rehabilitation, 2025. 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

16 authors.

Giovanna LopaneUnit of Rehabilitation Medicine, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Ilaria D'AscanioDepartment of Electrical, Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0009-0000-1568-7149
Mattia CorzaniDepartment of Electrical, Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-5010-6116
Valeria PetroneIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Giovanna Calandra-BuonauraUOC Clinica Neurologica Rete Metropolitana NEUROMET, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Fabio La PortaIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Pietro CortelliUOC Clinica Neurologica Rete Metropolitana NEUROMET, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.ORCID 0000-0002-3633-8818
Eran GazitCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel.ORCID 0009-0009-1085-9664
Marina BrozgolCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel.ORCID 0000-0002-9308-1887
Pablo Thumm CornejoCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel.
Nir GiladiMovement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel.
Alberto FerrariScience and Technology Park for Medicine, TPM, Democenter Foundation Mirandola, Modena, Italy.
Carlo TacconimHealth Technologies s.r.l., Bologna, Italy.ORCID 0000-0001-8587-5225
Lorenzo ChiariDepartment of Electrical, Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-2318-4370
Luca PalmeriniDepartment of Electrical, Electronic, and Information Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0003-4758-662X
Jeffrey M HausdorffCenter for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Centre, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo assess the feasibility and, preliminarily, the effectiveness of long-term, personalized gait training using a digital wearable system (Gait Tutor) that provides real-time audio biofeedback to correct or reinforce gait behaviour.DesignOpen-label and non-controlled, with assessments before and after intervention.SettingReal-world.ParticipantsTwenty persons with Parkinson's disease.InterventionParticipants performed home-based gait training in their ON medication state for 30 minutes, 3 times per week, for 9 months using a Gait Tutor.Main measuresWe evaluated adherence (% of expected sessions), usability, and, preliminarily, efficacy by assessing the motor performance of the participants before and after the intervention.ResultsSeventeen participants (85%) completed the study, performing an average of 83 sessions. Adherence was higher for persons with an intermediate disease stage (80.5% of expected training sessions), compared to those with a more advanced disease stage (46.2%). All participants reported extremely positive scores on the questionnaire about ease of use and effectiveness (4.37 ± 0.42). The Movement Disorders Unified Parkinson's Disease Rating Scale motor scores remained stable after the training (mean 9 months). In people with an intermediate disease stage, clinical scores and physical capacity tended to improve.ConclusionsFor the first time, this study shows the feasibility of long-term real-world gait training for people with Parkinson's disease, providing preliminary evidence that personalized, technology-driven rehabilitation strategies can be sustained over extended periods and can assist clinicians in objectively assessing gait performance in the real world.

Indexed as

Exercise TherapyGait Disorders, NeurologicParkinson DiseasePrecision MedicineTelerehabilitationAdultAgedBiofeedback, PsychologyDisability EvaluationFeasibility StudiesFemaleGaitHumansIsraelItalyMalebiofeedbackgait trainingParkinson’s diseaserehabilitationwearable

Identifiers

PMID40660084
PMCPMC12361687

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.