Literature DB >> 20795921

Mechanically assisted walking with body weight support results in more independent walking than assisted overground walking in non-ambulatory patients early after stroke: a systematic review.

Louise Ada1, Catherine M Dean, Janine Vargas, Samantha Ennis.   

Abstract

QUESTION: Does mechanically assisted walking with body weight support result in more independent walking and is it detrimental to walking speed or capacity in non-ambulatory patients early after stroke?
DESIGN: Systematic review with meta-analysis of randomised trials. PARTICIPANTS: Non-ambulatory adult patients undergoing inpatient rehabilitation up to 3 months after stroke. INTERVENTION: Mechanically assisted walking (eg, treadmill, electromechanical gait trainer, robotic device, servo-motor) with body weight support (eg, harness with or without handrail, but not handrail alone) versus assisted overground walking of longer than 15 min duration. OUTCOME MEASURES: The primary outcome was the proportion of participants achieving independent walking. Secondary outcomes were walking speed measured as m/s during the 10-m Walk Test and walking capacity measured as distance in m during the 6-min Walk Test.
RESULTS: Six studies comprising 549 participants were identified and included in meta-analyses. Mechanically assisted walking with body weight support resulted in more people walking independently at 4 weeks (RD 0.23, 95% CI 0.15 to 0.30) and at 6 months (RD 0.23, 95% CI 0.07 to 0.39), faster walking at 6 months (MD 0.12 m/s, 95% CI 0.02 to 0.21), and further walking at 6 months (MD 55 m, 95% CI 15 to 96) than assisted overground walking.
CONCLUSION: Mechanically assisted walking with body weight support is more effective than overground walking at increasing independent walking in non-ambulatory patients early after stroke. Furthermore, it is not detrimental to walking speed or capacity and clinicians should therefore be confident about implementing this intervention.

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Year:  2010        PMID: 20795921     DOI: 10.1016/s1836-9553(10)70020-5

Source DB:  PubMed          Journal:  J Physiother        ISSN: 1836-9561            Impact factor:   7.000


  14 in total

1.  Versatile robotic interface to evaluate, enable and train locomotion and balance after neuromotor disorders.

Authors:  Nadia Dominici; Urs Keller; Heike Vallery; Lucia Friedli; Rubia van den Brand; Michelle L Starkey; Pavel Musienko; Robert Riener; Grégoire Courtine
Journal:  Nat Med       Date:  2012-07       Impact factor: 53.440

Review 2.  Rehabilitating walking speed poststroke with treadmill-based interventions: a systematic review of randomized controlled trials.

Authors:  Charalambos C Charalambous; Heather Shaw Bonilha; Steven A Kautz; Chris M Gregory; Mark G Bowden
Journal:  Neurorehabil Neural Repair       Date:  2013-06-13       Impact factor: 3.919

Review 3.  A systematic review of mechanisms of gait speed change post-stroke. Part 1: spatiotemporal parameters and asymmetry ratios.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-21       Impact factor: 2.119

4.  Safety and feasibility of exoskeleton-assisted walking during acute/sub-acute SCI in an inpatient rehabilitation facility: A single-group preliminary study.

Authors:  Andrew D Delgado; Miguel X Escalon; Thomas N Bryce; William Weinrauch; Stephanie J Suarez; Allan J Kozlowski
Journal:  J Spinal Cord Med       Date:  2019-10-11       Impact factor: 1.985

Review 5.  Walking training associated with virtual reality-based training increases walking speed of individuals with chronic stroke: systematic review with meta-analysis.

Authors:  Juliana M Rodrigues-Baroni; Lucas R Nascimento; Louise Ada; Luci F Teixeira-Salmela
Journal:  Braz J Phys Ther       Date:  2014 Nov-Dec       Impact factor: 3.377

6.  Reliability of the six-minute walk test in individuals with stroke: systematic review and meta-analysis.

Authors:  Alice Macchiavelli; Antonella Giffone; Francesco Ferrarello; Matteo Paci
Journal:  Neurol Sci       Date:  2020-10-16       Impact factor: 3.307

7.  Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

Authors:  Kristel Knaepen; Andreas Mierau; Eva Swinnen; Helio Fernandez Tellez; Marc Michielsen; Eric Kerckhofs; Dirk Lefeber; Romain Meeusen
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

8.  Effect of unstable surface training on walking ability in stroke patients.

Authors:  Dae-Hyouk Bang; Won-Seob Shin; Hyeon-Jeong Noh; Myung-Soo Song
Journal:  J Phys Ther Sci       Date:  2014-11-13

9.  The effects of action observation gait training on the static balance and walking ability of stroke patients.

Authors:  Eun Cho Park; Gak Hwangbo
Journal:  J Phys Ther Sci       Date:  2015-02-17

Review 10.  Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Authors:  Dennis R Louie; Janice J Eng
Journal:  J Neuroeng Rehabil       Date:  2016-06-08       Impact factor: 4.262

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