Evidence map›Paper›PMID 22165907›Full record

ReviewJournal of neuroengineering and rehabilitation2011

Rehabilitation of gait after stroke: a review towards a top-down approach.

Juan-Manuel Belda-Lois, Silvia Mena-del Horno, Ignacio Bermejo-Bosch, Juan C Moreno, José L Pons, Dario Farina, Marco Iosa, Marco Molinari, Federica Tamburella, Ander Ramos and 4 more

6 registry-linked trialsOpen access · goldAbstract readReview
In one paragraph

Review in Journal of neuroengineering and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 6 registered trials, which are not on this map. Cited by 177 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 8 pooled it
13.1field-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.

NCT02759627 nacompletednot on this mapstarted 2014, after this paper: background citation

Does Isolated Robotic-Assisted Gait Training Improve Functional Status, Daily Living And Quality Of Life In Stroke Patients?: A Single-Blinded Randomized Controlled Study

TypeinterventionalSponsorIstanbul UniversityRan2014 to 2016Enrolled51ConditionsCerebrovascular Stroke, Cerebrovascular Accident, Cerebral StrokeArmsRobotic-Assisted Gait Training
NCT04228224 nacompletednot on this mapstarted 2019, after this paper: background citation

Stroke Rehabilitation Program Based on a Powered Lower Extremity Exoskeleton in Chile

TypeinterventionalSponsorCorporación de Rehabilitación Club de Leones Cruz del SurRan2019 to 2020Enrolled50ConditionsStrokeArmsRobot-assisted training with a lower extremity powered exoskeleton (H3 Exoskeleton, Spain), Conventional gait rehabilitation
NCT04364490 nacompletednot on this mapstarted 2018, after this paper: background citation

Study of the Rehabilitative Efficacy of Copernicus®, a Visual Feedback Device for the Early Start to Locomotion of Post-stroke Patients

TypeinterventionalSponsorS.Anna Rehabilitation InstituteRan2018 to 2019Enrolled162ConditionsStrokeArmsCopernicus noVF, Copernicis VF-Plus, Control group
NCT04473391 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Instrumental Gait Analysis on People With Stroke After Rehabilitation With a Synchronized FES and Cycle Ergometer System

TypeinterventionalSponsorCorporación de Rehabilitación Club de Leones Cruz del SurRan2017 to 2021Enrolled39ConditionsStrokeArmsCycle-ergometer training assisted by FES for lower extremities
NCT06531304 nacompletednot on this mapstarted 2024, after this paper: background citation

Patient-therapist INTERaction During RObotic GAIT Rehabilitation After Spinal Cord Injury: Clinical, Instrumental and Hyperscanning Study.

TypeinterventionalSponsorI.R.C.C.S. Fondazione Santa LuciaRan2024 to 2025Enrolled55ConditionsSpinal Cord InjuriesArmsLokomat Robot Assisted Gait Training
NCT07057700 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Investigating the Mechanisms of Welwalk Robot in Restoring Motor Function of the Lower Extremities in Stroke Patients

TypeinterventionalSponsorRuijin HospitalRan2025 to 2027Enrolled38ConditionsStroke, Walking ImpairmentArmswelwalk training, physical therapy
3 · Its place in the literature

Who cites it

177 citing papers in PubMed, 8 syntheses or guidelines pooled it, 576 citations in OpenAlex.

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117 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

14 authors at 7 institutions in 4 countries.

Juan-Manuel Belda-LoisInstituto de Biomecánica de Valencia, Universitat Politécnica de Valencia, Valencia, Spain. juanma.belda@ibv.upv.es
Silvia Mena-del Horno
Ignacio Bermejo-Bosch
Juan C Moreno
José L Pons
Dario Farina
Marco Iosa
Marco Molinari
Federica Tamburella
Ander Ramos
Andrea Caria
Teodoro Solis-Escalante
Clemens Brunner
Massimiliano Rea
Fondazione Santa Lucia · ITUniversity of Tübingen · DEBiomechanics Institute of Valencia · ESConsejo Superior de Investigaciones Científicas · ESGraz University of Technology · ATBernstein Center for Computational Neuroscience Göttingen · DEUniversitat Politècnica de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This document provides a review of the techniques and therapies used in gait rehabilitation after stroke. It also examines the possible benefits of including assistive robotic devices and brain-computer interfaces in this field, according to a top-down approach, in which rehabilitation is driven by neural plasticity.The methods reviewed comprise classical gait rehabilitation techniques (neurophysiological and motor learning approaches), functional electrical stimulation (FES), robotic devices, and brain-computer interfaces (BCI).From the analysis of these approaches, we can draw the following conclusions. Regarding classical rehabilitation techniques, there is insufficient evidence to state that a particular approach is more effective in promoting gait recovery than other. Combination of different rehabilitation strategies seems to be more effective than over-ground gait training alone. Robotic devices need further research to show their suitability for walking training and their effects on over-ground gait. The use of FES combined with different walking retraining strategies has shown to result in improvements in hemiplegic gait. Reports on non-invasive BCIs for stroke recovery are limited to the rehabilitation of upper limbs; however, some works suggest that there might be a common mechanism which influences upper and lower limb recovery simultaneously, independently of the limb chosen for the rehabilitation therapy. Functional near infrared spectroscopy (fNIRS) enables researchers to detect signals from specific regions of the cortex during performance of motor activities for the development of future BCIs. Future research would make possible to analyze the impact of rehabilitation on brain plasticity, in order to adapt treatment resources to meet the needs of each patient and to optimize the recovery process.

Indexed as

Stroke RehabilitationData Interpretation, StatisticalElectric StimulationElectroencephalographyGaitHumansLearningMovementNeurophysiologyRoboticsSpectroscopy, Near-InfraredUser-Computer Interface

Identifiers

PMID22165907
PMCPMC3261106
OpenAlexW2126185017

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.