Evidence map›Paper›PMID 28488268›Full record

SynthesisThe Cochrane database of systematic reviews2017

Electromechanical-assisted training for walking after stroke.

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

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

Synthesis in The Cochrane database of systematic reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 7 registered trials, which are not on this map. Cited by 112 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 16 pooled it
37.7field-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.

NCT03688165 completednot on this mapstarted 2018, after this paper: background citation

The Effects of Gait Rehabilitation Using Treadmill-based Robotics (Exoskeletons or End-effectors) Versus Traditional Physical Therapy in Stroke Survivors: a Multicenter Controlled Non-randomized Trial

Typeobservational_patient_registrySponsorIRCCS San Raffaele RomaRan2018 to 2022Enrolled87ConditionsStroke, Acute Stroke, Chronic StrokeArmsTreadmill-based Robotic Gait Training, Traditional Over-ground Gait Training
NCT03805009 nacompletednot on this map

Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients: Clinical and Gait Outcomes

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2013 to 2018Enrolled26ConditionsSevere Stroke, Acute Stroke, Mild Stroke, Central Nervous System DiseasesArmsRobot-Assisted Gait Training (RAGT)
NCT04162197 nacompletednot on this mapstarted 2019, after this paper: background citation

Efficacy of End-Effector Robot-Assisted Gait Training Combined With Robotic Balance Training in Subacute Stroke Patients: Clinical, Balance and Gait Outcomes

TypeinterventionalSponsorFondazione Don Carlo Gnocchi ETSRan2019 to 2020Enrolled40ConditionsStrokeArmsGEO, GEO and HUNOVA
NCT04559724 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Longitudinal Pilot Study on the Feasibility of Integrating Gait Training Through a Novel Over-ground Wearable Robotic System to Traditional Rehabilitation in People with Pyramidal Hemisyndromes.

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2020 to 2025Enrolled30ConditionsStroke, Brain Injuries, Traumatic, Brain Tumor BenignArmsIndego Therapy
NCT04824482 narecruitingnot on this mapstarted 2020, after this paper: background citation

GAIT Recovery in Patients aFter Acute Ischemic STroke: A Randomized Comparison of Robot-assisted and Therapist-assisted Gait Training on a Treadmill.

TypeinterventionalSponsorUniversity Hospital OlomoucRan2020 to 2026Enrolled120ConditionsIschemic StrokeArmsRobot-assisted treadmill gait training (RTGT), Therapist-assisted treadmill gait training (TTGT)
NCT05485597 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Usability and Feasibility Study of Myosuit-based Gait Training for Ambulatory Neurological Patients With Gait Disorders

TypeinterventionalSponsorRehaklinik Zihlschlacht AGRan2022 to 2022Enrolled15ConditionsNeurologic Gait DisorderArmsMyosuit-based gait training
NCT05579197 nacompletednot on this mapstarted 2022, after this paper: background citation

Valutazione Degli Effetti di un Dispositivo Indossabile Per Arto Inferiore (Myosuit) Sulla accettabilità e Parametri Funzionali di Pazienti Cronici Post-ictus: Studio Pilota.

TypeinterventionalSponsorFondazione Don Carlo Gnocchi ETSRan2022 to 2023Enrolled10ConditionsStroke, Ischemic Stroke, Haemorrhagic StrokeArmsLower-limb robotic intervention
3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 16 syntheses or guidelines pooled it, 562 citations in OpenAlex.

  1. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2025
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  9. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2020
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  12. The Improvement of Walking Ability Following Stroke.Deutsches Arzteblatt international · 2018
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  13. Mirror therapy for improving motor function after stroke.The Cochrane database of systematic reviews · 2018
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  16. Treadmill training and body weight support for walking after stroke.The Cochrane database of systematic reviews · 2017
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Jan MehrholzDepartment of Public Health, Dresden Medical School, Technical University Dresden, Fetscherstr. 74, Dresden, Germany, 01307.
Simone ThomasWissenschaftliches Institut, Klinik Bavaria Kreischa, Kreischa, Germany, 01731.
Cordula WernerMedicalpark, Schlaganfallzentrum Berlin, 13507 Berlin - Tegel, Germany.
Joachim KuglerDepartment of Public Health, Dresden Medical School, Technical University Dresden, Fetscherstr. 74, Dresden, Germany, 01307.
Marcus PohlNeurological Rehabilitation, Helios Klinik Schloss Pulsnitz, Wittgensteiner Str. 1, Pulsnitz, Saxony, Germany, 01896.
Bernhard ElsnerDepartment of Public Health, Dresden Medical School, Technical University Dresden, Fetscherstr. 74, Dresden, Sachsen, Germany, 01307.
TU Dresden · DEHelios Kliniken · DEKlinik Bavaria · DE

Funding

Chief Scientist Office ETM/417
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 9 August 2016), the Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library 2016, Issue 8), MEDLINE in Ovid (1950 to 15 August 2016), Embase (1980 to 15 August 2016), CINAHL (1982 to 15 August 2016), AMED (1985 to 15 August 2016), Web of Science (1899 to 16 August 2016), SPORTDiscus (1949 to 15 September 2012), the Physiotherapy Evidence Database (PEDro) (searched 16 August 2016), and the engineering databases COMPENDEX (1972 to 16 November 2012) and Inspec (1969 to 26 August 2016). 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 controlled trials and randomised controlled cross-over trials in people over the age of 18 years diagnosed with stroke of any severity, at any stage, 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 risk of bias, and extracted the data. The primary outcome was the proportion of participants walking independently at follow-up. MAIN

resultsWe included 36 trials involving 1472 participants in this review update. Electromechanical-assisted gait training in combination with physiotherapy increased the odds of participants becoming independent in walking (odds ratio (random effects) 1.94, 95% confidence interval (CI) 1.39 to 2.71; P < 0.001; I² = 8%; moderate-quality evidence) but did not significantly increase walking velocity (mean difference (MD) 0.04 m/s, 95% CI 0.00 to 0.09; P = 0.08; I² = 65%; low-quality evidence) or walking capacity (MD 5.84 metres walked in 6 minutes, 95% CI -16.73 to 28.40; P = 0.61; I² = 53%; very low-quality evidence). 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 suggested 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. We concluded that seven patients need to be treated to prevent one dependency in walking. 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 large definitive pragmatic phase III trials undertaken to address specific questions about the most effective frequency and duration of electromechanical-assisted gait training as well as how long any benefit may last.

Indexed as

Orthotic DevicesStroke RehabilitationWalkingAgedCombined Modality TherapyElectric Stimulation TherapyEquipment DesignExercise TherapyGaitHumansMiddle AgedRandomized Controlled Trials as TopicRoboticsWalking Speed

Identifiers

PMID28488268
PMCPMC6481755
OpenAlexW2899359444

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

and 1 more above

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.