Clinical and Instrumental Treatment's Predictors in Subjects With Neurological Diseases Using G-EO Robotic System
1 other identifier
observational
260
1 country
1
Brief Summary
The aim of this work is to elaborate a statistical model to predict the effectiveness of robotic treatment in subjects with neurological diseases. The model will be used to understand which subjects are most responsive to this type of treatment
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 13, 2022
CompletedFirst Submitted
Initial submission to the registry
July 21, 2022
CompletedFirst Posted
Study publicly available on registry
August 9, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
April 1, 2027
August 9, 2022
June 1, 2022
4.9 years
July 21, 2022
August 8, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in gait speed
The 10 Meter Walk Test is a performance measure used to assess walking speed in meters per second over a short distance. The time to cover 6 meters is measured and the walking speed is calculated. higher speed indicates better performance.
baseline (T0), at the end of the treatment in accordance with the duration foreseen by the therapeutic plan of each subject up to a minimum of 2 weeks, (T1) and 2 months of follow up
Secondary Outcomes (11)
Trunk control
baseline (T0)
Mobility
baseline (T0)
Strength
baseline (T0)
Walking Endurance
baseline (T0)
Walking ability
baseline (T0)
- +6 more secondary outcomes
Study Arms (1)
People with neurological disease according to inclusion criteria
People with neurological disease (Multiple Sclerosis, Parkinson Disease, Stroke and acquired brain injuries) will be recruited according to inclusion and exclusion criteria.
Interventions
Robotic-assisted gait training is a rehabilitation treatment that applies robotic technologies to improve mobility of patients with stroke or other neurological disorders. In this study, participants will use the G-EO system robotic device according to the daily clinical practice of the Don Gnocchi Foundation.
Eligibility Criteria
People with Neurological Disease, in particular people with Multiple Sclerosis (MS), Parkinson Disease (PD) and Stroke
You may qualify if:
- Diagnosis of Multiple Sclerosis, Parkinson Disease, Stroke or acquired brain injury
- Minimum number of sessions: 10 sessions with the GEO system
- Minimum frequency of sessions: 2 per week
- Age ≥ 18 years
- Ability to walk for at least 10 meters, also with aid
- Indication of robotic treatment in the therapeutic plan
- Body size suitable for the robotic device
- ability to maintain verticality for 7 minutes;
- ability to maintain the sitting position without support for 30 seconds;
You may not qualify if:
- severe limitations of articular range of motion;
- medical problems compromising walking (e.g. fractures, pain, severe osteoporosis or severe spasticity);
- Presence of skin lesions in the areas of contact with the device;
- Presence of seizures that may be triggered by the use of the G-EO system.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Don Gnocchi Foundation
Milan, 20148, Italy
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 21, 2022
First Posted
August 9, 2022
Study Start
May 13, 2022
Primary Completion (Estimated)
April 1, 2027
Study Completion (Estimated)
April 1, 2027
Last Updated
August 9, 2022
Record last verified: 2022-06