ArticleBMC neurology2020
Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.
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.
What it found
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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.
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.
Assistive Robotic in the Elderly: Innovative Models in the Rehabilitation of the Elderly With Parkinson's Disease Through Technological Innovation
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Physical exercise for people with Parkinson's disease: a systematic review and network meta-analysis.The Cochrane database of systematic reviews · 2024Pooled it
- Physical exercise for people with Parkinson's disease: a systematic review and network meta-analysis.The Cochrane database of systematic reviews · 2023Pooled it
- Interventions for preventing falls in Parkinson's disease.The Cochrane database of systematic reviews · 2022Pooled it
- The Effect of Non-Immersive Virtual Reality Exergames versus Traditional Physiotherapy in Parkinson's Disease Older Patients: Preliminary Results from a Randomized-Controlled Trial.International journal of environmental research and public health · 2022Trial
- Relationship between joint angles and gait parameters in healthy older adults aged 60 ~ 80 years.Frontiers in public health · 2026Article
- Nanomedicine-Driven Modulation of the Gut-Brain Axis: Innovative Approaches to Managing Chronic Inflammation in Alzheimer's and Parkinson's Disease.International journal of molecular sciences · 2025Review
- Validity and Reliability of the Posturographic Outcomes of a Portable Balance Board.Sensors (Basel, Switzerland) · 2025Article
- Soft Robotics for Parkinson's Disease Supported by Functional Materials and Artificial Intelligence.BME frontiers · 2025Review
- The Epidemiological Transition of Surgically Treated Proximal Hip Fractures in Austria over the Course of the Pandemic-Back to Normal or a New Normal?Healthcare (Basel, Switzerland) · 2023Article
- Article
- The advantages of artificial intelligence-based gait assessment in detecting, predicting, and managing Parkinson's disease.Frontiers in aging neuroscience · 2023Review
- Multi-Modal Rehabilitation Therapy in Parkinson's Disease and Related Disorders.Annals of Indian Academy of Neurology · 2023Article
- Cross-Frequency Coupling and Intelligent Neuromodulation.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.International journal of environmental research and public health · 2022Article
- Artificial intelligence applications and robotic systems in Parkinson's disease (Review).Experimental and therapeutic medicine · 2022Review
- Soft Attention Based DenseNet Model for Parkinson's Disease Classification Using SPECT Images.Frontiers in aging neuroscience · 2022Article
- Analysis of Gait for Disease Stage in Patients with Parkinson's Disease.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.