Evidence map›Paper›PMID 23888479›Full record

SynthesisThe Cochrane database of systematic reviews2013

Electromechanical-assisted training for walking after stroke.

Jan Mehrholz, Bernhard Elsner, Cordula Werner, Joachim Kugler, Marcus Pohl

3 registry-linked trialsOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2013. 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 59 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 9 pooled it
–field-weighted citation impact
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.

NCT02680496 naterminatednot on this mapstarted 2016, after this paper: background citation

Energy Consumption and Cardiorespiratory Load During Walking With and Without Robot-Assistance

TypeinterventionalSponsorVrije Universiteit BrusselRan2016 to 2017Enrolled14ConditionsStrokeArmsLokomat, Treadmill, Overground
NCT03395717 nacompletednot on this mapstarted 2016, after this paper: background citation

Stroke Rehabilitation With Exoskeleton-assisted Gait: Clinical and Neuromuscular Outcomes.

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2016 to 2020Enrolled162ConditionsSevere Stroke, Acute Stroke, Chronic Stroke, Cerebrovascular DisordersArmsExoskeleton-Assisted Gait Training
NCT03463746 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Effects of Electromechanical-assisted Gait Training Within an Integrated, Practice-oriented Therapy Approach in Subacute Stroke Patients - a Randomised Controlled (RCT) Trial

TypeinterventionalSponsorZürcher RehaZentrum WaldRan2018 to 2020Enrolled72ConditionsStrokeArmsLYRA® gait trainer, Standard individual physical therapy
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 9 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2025
    Pooled it
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  4. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2020
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  7. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2017
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  9. Treadmill training and body weight support for walking after stroke.The Cochrane database of systematic reviews · 2014
    Pooled it
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  17. Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: a randomized clinical trial.International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation · 2016
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jan MehrholzWissenschaftliches Institut, Private Europäische Medizinische Akademie der Klinik Bavaria in Kreischa GmbH, Kreischa, Germany. jan.mehrholz@klinik-bavaria.de.
Bernhard Elsner
Cordula Werner
Joachim Kugler
Marcus Pohl
Klinik Bavaria · DETU Dresden · DE

Funding

Chief Scientist Office CZB/4/784
6 · The paper itself

Abstract

backgroundElectromechanical and robotic-assisted gait training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007.

objectivesTo investigate the effects of automated electromechanical and robotic-assisted gait training devices for improving walking after stroke. SEARCH

methodsWe searched the Cochrane Stroke Group Trials Register (last searched April 2012), the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library 2012, Issue 2), MEDLINE (1966 to November 2012), EMBASE (1980 to November 2012), CINAHL (1982 to November 2012), AMED (1985 to November 2012), SPORTDiscus (1949 to September 2012), the Physiotherapy Evidence Database (PEDro, searched November 2012) and the engineering databases COMPENDEX (1972 to November 2012) and INSPEC (1969 to November 2012). We handsearched relevant conference proceedings, searched trials and research registers, checked reference lists and contacted authors in an effort to identify further published, unpublished and ongoing trials. SELECTION CRITERIA: We included all randomised and randomised cross-over trials consisting of people over 18 years old diagnosed with stroke of any severity, at any stage, or in any setting, evaluating electromechanical and robotic-assisted gait training versus normal care. DATA COLLECTION AND ANALYSIS: Two review authors independently selected trials for inclusion, assessed methodological quality and extracted the data. The primary outcome was the proportion of participants walking independently at follow-up. MAIN

resultsIn this update of our review, we included 23 trials involving 999 participants. Electromechanical-assisted gait training in combination with physiotherapy increased the odds of participants becoming independent in walking (odds ratio (OR) (random effects) 2.39, 95% confidence interval (CI) 1.67 to 3.43; P < 0.00001; I² = 0%) but did not significantly increase walking velocity (mean difference (MD) = 0.04 metres/s, 95% CI -0.03 to 0.11; P = 0.26; I² = 73%) or walking capacity (MD = 3 metres walked in six minutes, 95% CI -29 to 35; P = 0.86; I² = 70%). The results must be interpreted with caution because (1) some trials investigated people who were independent in walking at the start of the study, (2) we found variations between the trials with respect to devices used and duration and frequency of treatment, and (3) some trials included devices with functional electrical stimulation. Our planned subgroup analysis suggests that people in the acute phase may benefit but people in the chronic phase may not benefit from electromechanical-assisted gait training. Post hoc analysis showed that people who are non-ambulatory at intervention onset may benefit but ambulatory people may not benefit from this type of training. Post hoc analysis showed no differences between the types of devices used in studies regarding ability to walk, but significant differences were found between devices in terms of walking velocity. AUTHORS'

conclusionsPeople who receive electromechanical-assisted gait training in combination with physiotherapy after stroke are more likely to achieve independent walking than people who receive gait training without these devices. Specifically, people in the first three months after stroke and those who are not able to walk seem to benefit most from this type of intervention. The role of the type of device is still not clear. Further research should consist of a large definitive, pragmatic, phase III trial undertaken to address specific questions such as the following: What frequency or duration of electromechanical-assisted gait training might be most effective? How long does the benefit last?

Indexed as

Orthotic DevicesStroke RehabilitationWalkingCombined Modality TherapyEquipment DesignExercise TherapyGaitHumansRandomized Controlled Trials as TopicRobotics

Identifiers

PMID23888479
PMCPMC6465057
OpenAlexW4230979043

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.