Evidence map›Paper›PMID 35785358›Full record

ArticleFrontiers in neurology2022

Feasibility, Safety, and Effectiveness of Telerehabilitation in Mild-to-Moderate Parkinson's Disease.

Edoardo Bianchini, Camilla Onelli, Carmen Morabito, Marika Alborghetti, Domiziana Rinaldi, Paolo Anibaldi, Adriano Marcolongo, Marco Salvetti, Francesco E Pontieri

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06111924 (Effects of Telerehabilitation Versus Clinic-based Task-oriented Circuit Training on Upper Extremity Functions and Quality of Life in Parkinson's Patient.), which is not on this map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
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.

NCT06111924 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Effects of Telerehabilitation Versus Clinic-based Task-oriented Circuit Training on Upper Extremity Functions and Quality of Life in Parkinson's Patient.

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled34ConditionsParkinson DiseaseArmsTask oriented circuit training based telerehabilitation, Clinic based Task oriented circuit training
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

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  9. Telerehabilitation for the treatment of nocturnal hypokinesia in people with Parkinson's disease: a pilot study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

9 authors at 3 institutions in 1 country.

Edoardo BianchiniDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Camilla OnelliDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Carmen MorabitoSant'Andrea University Hospital, Rome, Italy.
Marika AlborghettiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Domiziana RinaldiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Paolo AnibaldiSant'Andrea University Hospital, Rome, Italy.
Adriano MarcolongoSant'Andrea University Hospital, Rome, Italy.
Marco SalvettiDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Francesco E PontieriDepartment of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Neurologico Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Parkinson's disease (PD) patients frequently engage in rehabilitation to ameliorate symptoms. During the Coronavirus disease 2019 (COVID-19) pandemic, access to rehabilitation programs has been markedly limited, consequently, telerehabilitation gained popularity. In this prospective, open-label, and pilot study, we aimed to investigate feasibility, safety, and efficacy of telerehabilitation in mild-to-moderate PD patients. Materials and Methods: Twenty-three PD patients, with Hoehn and Yahr stage <3, without gait disturbances or dementia and capable of using the televisit platform, were recruited for a 5-week telerehabilitation program, consisting of 1 remote visit with a therapist and a minimum of two sessions of >30-min of self-conducted exercises per week. Patients received video tutorials of exercises and were asked to keep a diary of sessions. At baseline (T0), at the end of the intervention (T1), and 1 month after the end of treatment (T2), patients were remotely assessed with MDS-UPDRS part I-III, PDQ-39, Functional Independence Measure (FIM), and Frontal Assessment Battery scales, respectively. Acceptable compliance to the program was defined as >60% matching of frequency and duration of sessions, whereas optimal compliance was set at >80% matching. Results: The dropout rate was 0%. Over 85% of patients reached acceptable adherence cut-off and around 70% reached optimal one. No adverse events were reported during sessions. The repeated measure analysis of variance (rANOVA) showed a significant effect of factor "time" for MDS-UPDRS-III ( Conclusion: Our findings demonstrate that telerehabilitation is safe, feasible, and effective on motor symptoms in mild-to-moderate PD patients.

Indexed as

neurorehabilitationParkinson's diseasephysiotherapyremote treatmenttelehealthtelemedicinetelerehabilitation

Identifiers

PMID35785358
PMCPMC9245570
OpenAlexW4283032327

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.