Evidence map›Paper›PMID 28553117›Full record

ReviewNeuropsychiatric disease and treatment2017

Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.

Giovanni Morone, Stefano Paolucci, Andrea Cherubini, Domenico De Angelis, Vincenzo Venturiero, Paola Coiro, Marco Iosa

3 registry-linked trialsOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Neuropsychiatric disease and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 116 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 19 pooled it
15.4field-weighted citation impact, top 1% 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.

NCT03566901 naunknown statusnot on this map

Robot-assisted Locomotor and Stair Climbing Training for Improving Mobility and Participation in Daily Activities in Persons Affected by Stroke: a Multicenter Randomized Controlled Clinical Trial

TypeinterventionalSponsorUniversita di VeronaRan2017 to 2018Enrolled72ConditionsStrokeArmsG-EO System, Conventional Physiotherapy
NCT04910217 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Robot-Assisted Gait Therapy in the Subacute Phase of First Ischemic Stroke

TypeinterventionalSponsorUniversity Hospital OstravaRan2022 to 2025Enrolled80ConditionsIschemic StrokeArmsConventional rehabilitation, Leg/lower body exerciser device intervention., Lokomat intervention
NCT05759182 nacompletednot on this mapstarted 2024, after this paper: background citation

The Effects of Exoskeletal Robot-Assisted Gait Training on Children With Cerebral Palsy: An Open-label, Pre-Post Comparison Pilot Study

TypeinterventionalSponsorCOSMO ROBOTICS CO., LtdRan2024 to 2024Enrolled10ConditionsCerebral Palsy, Gait Disorders, Gait Disorders in Children, Gait Disorders, NeurologicArmsPowered Exoskeleton Gait Training
3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 19 syntheses or guidelines pooled it, 287 citations in OpenAlex.

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  12. Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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56 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 3 countries.

Giovanni MoronePrivate Inpatient Unit.
Stefano PaolucciPrivate Inpatient Unit.
Andrea CherubiniDepartment of Robotics, LIRMM UM-CNRS, Montpellier, France.
Domenico De AngelisPrivate Inpatient Unit.
Vincenzo VenturieroPrivate Inpatient Unit.
Paola CoiroPrivate Inpatient Unit.
Marco IosaPrivate Inpatient Unit.
IS practice · BECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, we give a brief outline of robot-mediated gait training for stroke patients, as an important emerging field in rehabilitation. Technological innovations are allowing rehabilitation to move toward more integrated processes, with improved efficiency and less long-term impairments. In particular, robot-mediated neurorehabilitation is a rapidly advancing field, which uses robotic systems to define new methods for treating neurological injuries, especially stroke. The use of robots in gait training can enhance rehabilitation, but it needs to be used according to well-defined neuroscientific principles. The field of robot-mediated neurorehabilitation brings challenges to both bioengineering and clinical practice. This article reviews the state of the art (including commercially available systems) and perspectives of robotics in poststroke rehabilitation for walking recovery. A critical revision, including the problems at stake regarding robotic clinical use, is also presented.

Indexed as

activities of daily livingexoskeletonmotor learningneurorehabilitationplasticityrobot-assisted walking trainingwearable robot

Identifiers

PMID28553117
PMCPMC5440028
OpenAlexW2614109164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.