Evidence map›Paper›PMID 32166723›Full record

ReviewActa neurologica Belgica2020

Gait rehabilitation after stroke: review of the evidence of predictors, clinical outcomes and timing for interventions.

Clara Selves, Gaëtan Stoquart, Thierry Lejeune

Registry-linked trialOpen access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Acta neurologica Belgica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06715098 (Comparison of Robot Assisted Gait Training and Body Weight Supported Treadmill Training in Chronic Stroke Patients Using Gait Analysis and SEMG Measurements), which is not on this map. Cited by 55 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 6 pooled it
7.9field-weighted citation impact, top 2% 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.

NCT06715098 nacompletednot on this mapstarted 2023, after this paper: background citation

Comparison of Robot Assisted Gait Training and Body Weight Supported Treadmill Training in Chronic Stroke Patients Using Gait Analysis and SEMG Measurements

TypeinterventionalSponsorPamukkale UniversityRan2023 to 2024Enrolled45ConditionsStroke, IschemicArmsRoboGait, RehaWalk, Conventional
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 6 syntheses or guidelines pooled it, 153 citations in OpenAlex.

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  7. Effect of ultrasound-guided acupotomy combined with acupuncture on limb dysfunction in patients with cerebral stroke.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

3 authors at 2 institutions in 1 country.

Clara SelvesService de Médecine Physique et Réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium. clara.selves@uclouvain.be.
Gaëtan StoquartService de Médecine Physique et Réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Thierry LejeuneService de Médecine Physique et Réadaptation, Cliniques universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Cliniques Universitaires Saint-Luc · BEUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recovery of walking capacity is one of the main aims in stroke rehabilitation. Being able to predict if and when a patient is going to walk after stroke is of major interest in terms of management of the patients and their family's expectations and in terms of discharge destination and timing previsions. This article reviews the recent literature regarding the predictive factors for gait recovery and the best recommendations in terms of gait rehabilitation in stroke patients. Trunk control and lower limb motor control (e.g. hip extensor muscle force) seem to be the best predictors of gait recovery as shown by the TWIST algorithm, which is a simple tool that can be applied in clinical practice at 1 week post-stroke. In terms of walking performance, the 6-min walking test is the best predictor of community ambulation. Various techniques are available for gait rehabilitation, including treadmill training with or without body weight support, robotic-assisted therapy, virtual reality, circuit class training and self-rehabilitation programmes. These techniques should be applied at specific timing during post-stroke rehabilitation, according to patient's functional status.

Indexed as

Exercise TherapyStroke RehabilitationGaitHumansRecovery of FunctionStrokeWalkingGait rehabilitationPrognosisRecovery of functionStroke

Identifiers

PMID32166723
OpenAlexW3012380813

What OpenQuestion holds

Textmetadata
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.