Electromechanical-assisted training for walking after stroke
- PMID: 33091160
- PMCID: PMC8189995
- DOI: 10.1002/14651858.CD006185.pub5
Electromechanical-assisted training for walking after stroke
Update in
-
Electromechanical-assisted training for walking after stroke.Cochrane Database Syst Rev. 2025 May 14;5(5):CD006185. doi: 10.1002/14651858.CD006185.pub6. Cochrane Database Syst Rev. 2025. PMID: 40365867
Abstract
Background: Electromechanical- and robot-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 and previously updated in 2017.
Objectives: Primary • To determine whether electromechanical- and robot-assisted gait training versus normal care improves walking after stroke Secondary • To determine whether electromechanical- and robot-assisted gait training versus normal care after stroke improves walking velocity, walking capacity, acceptability, and death from all causes until the end of the intervention phase SEARCH METHODS: We searched the Cochrane Stroke Group Trials Register (last searched 6 January 2020); the Cochrane Central Register of Controlled Trials (CENTRAL; 2020 Issue 1), in the Cochrane Library; MEDLINE in Ovid (1950 to 6 January 2020); Embase (1980 to 6 January 2020); the Cumulative Index to Nursing and Allied Health Literature (CINAHL; 1982 to 20 November 2019); the Allied and Complementary Medicine Database (AMED; 1985 to 6 January 2020); Web of Science (1899 to 7 January 2020); SPORTDiscus (1949 to 6 January 2020); the Physiotherapy Evidence Database (PEDro; searched 7 January 2020); and the engineering databases COMPENDEX (1972 to 16 January 2020) and Inspec (1969 to 6 January 2020). We handsearched relevant conference proceedings, searched trials and research registers, checked reference lists, and contacted trial authors in an effort to identify further published, unpublished, and ongoing trials.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 robot-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 data. We assessed the quality of evidence using the GRADE approach. The primary outcome was the proportion of participants walking independently at follow-up.
Main results: We included in this review update 62 trials involving 2440 participants. Electromechanical-assisted gait training in combination with physiotherapy increased the odds of participants becoming independent in walking (odds ratio (random effects) 2.01, 95% confidence interval (CI) 1.51 to 2.69; 38 studies, 1567 participants; P < 0.00001; I² = 0%; high-quality evidence) and increased mean walking velocity (mean difference (MD) 0.06 m/s, 95% CI 0.02 to 0.10; 42 studies, 1600 participants; P = 0.004; I² = 60%; low-quality evidence) but did not improve mean walking capacity (MD 10.9 metres walked in 6 minutes, 95% CI -5.7 to 27.4; 24 studies, 983 participants; P = 0.2; I² = 42%; moderate-quality evidence). Electromechanical-assisted gait training did not increase the risk of loss to the study during intervention nor the risk of death from all causes. 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 variation between trials with respect to devices used and duration and frequency of treatment, and (3) some trials included devices with functional electrical stimulation. Post hoc analysis showed that people who are non-ambulatory at the start of the intervention 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 revealed differences between devices in terms of walking velocity and capacity.
Authors' conclusions: People 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 eight 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 3 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. Future trials should consider time post stroke in their trial design.
Copyright © 2020 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
Conflict of interest statement
Jan Mehrholz: was co‐author of one included trial (Pohl 2007). Simone Thomas: none known. Joachim Kugler: none known. Marcus Pohl: was a co‐author of one included trial (Pohl 2007). Bernhard Elsner: none known.
These review authors (MP, JM) did not participate in quality assessment nor in extraction of data from these studies.
Figures
Update of
-
Electromechanical-assisted training for walking after stroke.Cochrane Database Syst Rev. 2017 May 10;5(5):CD006185. doi: 10.1002/14651858.CD006185.pub4. Cochrane Database Syst Rev. 2017. Update in: Cochrane Database Syst Rev. 2020 Oct 22;10:CD006185. doi: 10.1002/14651858.CD006185.pub5. PMID: 28488268 Free PMC article. Updated.
References
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Pohl 2007 {published data only}
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Taveggia 2016 {published data only}
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Tomida 2019 {published data only}
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Watanabe 2014 {published data only}
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Werner 2002 {published data only}
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Yeung 2018 {published data only}
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References to studies excluded from this review
Bae 2014 {published data only}
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- Bae Y, Ko Y, Chang W, Lee J, Lee K, Park Y, et al. Effects of robot-assisted gait training combined with functional electrical stimulation on recovery of locomotor mobility in chronic stroke patients: a randomized controlled trial. Journal of Physical Therapy Science 2014;26(12):1949-53. [0915: 5287] - PMC - PubMed
Bergmann 2018a {published data only}
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- Bergmann J, Krewer C, Bauer P, Koenig A, Riener R, Muller F. Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial. European Journal of Physical and Rehabilitation Medicine 2018;54(3):397-407. - PubMed
Jin 2018 {published data only}
Kang 2018 {published data only}
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- Kang T-W, Oh D-W, Lee J-H, Cynn H-S. Effects of integrating rhythmic arm swing into robot-assisted walking in patients with subacute stroke: a randomized controlled pilot study. International Journal of Rehabilitation Research 2018;41(1):57-62. - PubMed
Kim 2019 {published data only}
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- Kim H, Koo D, Yang S, Shin JH. Comparisons of exoskeleton and end-effector types of robot-assisted gait training in patients with stroke. Archives of Physical Medicine and Rehabilitation 2019;100(10):e58‐e59.
Koo 2019 {published data only}
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- Koo D, Yang S, Shin J-H, Kim H. Comparisons of exoskeleton and end-effector types of robot-assisted gait training in patients with stroke. Archives of Physical Medicine & Rehabilitation 2019;100(10):e58-9. [0003-9993]
NCT01337960 {published data only}
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- NCT01337960. Ankle robotics training after stroke. clinicaltrials.gov/show/NCT01337960 (first received 15 April 2011).
NCT03321097 {published data only}
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- NCT03321097. A randomized controlled trial of distributed schedule of robot-assisted training after botulinum toxin injection in patient with spastic hemiplegic stroke: motor learning process and behavioral outcomes. https://clinicaltrials.gov/show/NCT03321097 (first received 27 January 2020).
NCT03991364 {published data only}
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- NCT03991364. Comparison of robot-assisted gait training according to gait speed in participants with stroke. clinicaltrials.gov/ct2/show/NCT03991364 (first received 16 January 2020).
NCT04162197 {published data only}
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- NCT04162197. Efficacy of end-effector robot-assisted gait training combined with robotic balance training in subacute stroke patients. clinicaltrials.gov/show/NCT04162197 (first received 28 January 2020).
Park 2015 {published data only}
Park 2019 {published data only}
-
- Park IJ, Park JH, Seong HY, You JH, Kim SJ, Min JH, et al. Comparative effects of different assistance force during robot-assisted gait training on locomotor functions in patients with subacute stroke: an assessor-blind, randomized controlled trial. American Journal of Physical Medicine & Rehabilitation 2019;98(1):58-64. [0894-9115] - PubMed
Picelli 2015 {published data only}
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- Picelli A, Chemello E, Castellazzi P, Roncari L, Waldner A, Saltuari L, et al. Combined effects of transcranial direct current stimulation (tDCS) and transcutaneous spinal direct current stimulation (tsDCS) on robot-assisted gait training in patients with chronic stroke: a pilot, double blind, randomized controlled trial. Restorative Neurology & Neuroscience 2015;33(3):357-68. [1878-3627] - PubMed
Tamburella 2019 {published data only}
Watanabe 2017 {published data only}
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- JPRN-UMIN000022335. Effects of rehabilitation using the hybrid assistive limb in stroke patients. http://www.who.int/trialsearch/Trial2.aspx?TrialID=JPRN-UMIN000022335; 2016.
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Wu 2014 {published data only}
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