Evidence map›Paper›PMID 32404132›Full record

ArticleBMC neurology2020

Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.

Roberta Bevilacqua, Elvira Maranesi, Mirko Di Rosa, Riccardo Luzi, Elisa Casoni, Nadia Rinaldi, Renato Baldoni, Fabrizia Lattanzio, Valentina Di Donna, Giuseppe Pelliccioni and 1 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04087031 (Assistive Robotic in the Elderly), which is not on this map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 13% 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.

NCT04087031 narecruitingnot on this map

Assistive Robotic in the Elderly: Innovative Models in the Rehabilitation of the Elderly With Parkinson's Disease Through Technological Innovation

TypeinterventionalSponsorIstituto Nazionale di Ricovero e Cura per AnzianiRan2019 to 2026Enrolled195ConditionsParkinson Disease, Frail Elderly, Robotic Devices in RehabilitationArmscontrol arm, virtual reality games, robotic treadmill
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Interventions for preventing falls in Parkinson's disease.The Cochrane database of systematic reviews · 2022
    Pooled it
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023
    Review
  14. Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.International journal of environmental research and public health · 2022
    Article
  15. Review
  16. Article
  17. Analysis of Gait for Disease Stage in Patients with Parkinson's Disease.International journal of environmental research and public health · 2021
    Article
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

11 authors at 1 institution in 1 country.

Roberta BevilacquaScientific Direction, IRCCS INRCA, Ancona, Italy. r.bevilacqua@inrca.it.ORCID http://orcid.org/0000-0002-3851-3552
Elvira MaranesiScientific Direction, IRCCS INRCA, Ancona, Italy.
Mirko Di RosaUnit of Geriatric Pharmacoepidemiology, IRCCS INRCA, Ancona, Italy.
Riccardo LuziMedical Direction, IRCCS INRCA, Ancona, Italy.
Elisa CasoniClinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy.
Nadia RinaldiClinical Unit of Physical Rehabilitation, IRCCS INRCA, Fermo, Italy.
Renato BaldoniClinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy.
Fabrizia LattanzioScientific Direction, IRCCS INRCA, Ancona, Italy.
Valentina Di DonnaClinical Unit of Physical Rehabilitation, IRCCS INRCA, Fermo, Italy.
Giuseppe PelliccioniNeurology Unit, IRCCS INRCA, Ancona, Italy.
Giovanni Renato RiccardiClinical Unit of Physical Rehabilitation, IRCCS INRCA, Ancona, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease is one of the most frequent causes of disability among the older adults. It is a chronic-progressive neuro-degenerative disease, characterized by several motor disorders. Balance disorders are a symptom that involves the body axis and do not respond to dopaminergic therapy used in Parkinson's disease. Therefore, physiotherapy becomes an important intervention for the management of motor disorders. Originally, these rehabilitative approaches were based on empirical experiences, but several scientific evidences suggests that neuronal plasticity is exercise-dependent. In this context, robotic rehabilitation plays an important role because it allows to perform task-oriented exercises and to increase the number of repetitions and their intensity. This protocol study aims to evaluate the effectiveness of robotic-based intervention of the older adults with Parkinson's disease, designed to improve the gait and to reduce the risk of falling.

methodsThis study is a single-blinded randomized controlled trial. The primary outcomes are: risk of falling, gait performance and fear of falling measured through Performance-Oriented Mobility Assessment (POMA), instrumental gait analysis and Short Falls Efficacy Scale - International (FES-I), respectively. One hundred ninety-five patients with PD will be recruited and randomly divided into three groups, to receive a traditional rehabilitation program or a robotic rehabilitation using Tymo system or Walker View in addition to the traditional therapy. Assessments will be performed at baseline, at the end of treatment and 6 months, 1 year and 2 years from the end of the treatment. A 10-treatment session will be conducted, divided into 2 training sessions per week, for 5 weeks. The control group will perform traditional therapy sessions lasting 50 min. The technological intervention group will carry out 30 min of traditional therapy and 20 min of treatment with a robotic system. DISCUSSION: The final goals of the present study are to propose a new approach in the PD rehabilitation, focused on the use of robotic device, and to check the results not only at the end of the treatment but also in the long term.

trial registrationNCT04087031, registration date September 12, 2019.

Indexed as

RoboticsAccidental FallsAgedAged, 80 and overExercise TherapyFemaleGait Disorders, NeurologicHumansMaleParkinson DiseasePostural BalanceRandomized Controlled Trials as TopicResearch DesignSensation DisordersSingle-Blind MethodBalance trainingGait trainingParkinson patientsRobotic rehabilitation

Identifiers

PMID32404132
PMCPMC7222584
OpenAlexW3025216431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.