Evidence map›Paper›PMID 37936135›Full record

Trial reportJournal of neuroengineering and rehabilitation2023

Effects of high-intensity gait training with and without soft robotic exosuits in people post-stroke: a development-of-concept pilot crossover trial.

Franchino Porciuncula, Dheepak Arumukhom Revi, Teresa C Baker, Regina Sloutsky, Conor J Walsh, Terry D Ellis, Louis N Awad

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07218094 (Neuromechanical Mechanisms of Exosuit-assisted Gait Rehabilitation After Stroke), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

NCT07218094 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Neuromechanical Mechanisms of Exosuit-assisted Gait Rehabilitation After Stroke

TypeinterventionalSponsorBoston University Charles River CampusRan2025 to 2027Enrolled22ConditionsStrokeArmsWalking with robotic ankle assistance
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Multi-Modal Sensing for Propulsion Estimation in People Post-Stroke Across Speeds.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
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

7 authors.

Franchino Porciuncula *Department of Physical Therapy, Center for Neurorehabilitation, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Dheepak Arumukhom Revi *Department of Physical Therapy, Neuromotor Recovery Lab, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Teresa C BakerDepartment of Physical Therapy, Center for Neurorehabilitation, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Regina SloutskyDepartment of Physical Therapy, Neuromotor Recovery Lab, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Conor J WalshPaulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Terry D EllisDepartment of Physical Therapy, Center for Neurorehabilitation, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Louis N AwadDepartment of Physical Therapy, Neuromotor Recovery Lab, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA. louawad@bu.edu.

Funding

Development of a Modular Soft Exosuit Platform Suitable for Community-Based NeurorehabilitationR01HD088619 · NICHD · HARVARD UNIVERSITY · PI WALSH, CONOR · 2016 to 2021
$3.9M
NICHD NIH HHS R01 HD088619
6 · The paper itself

Abstract

introductionHigh-intensity gait training is widely recognized as an effective rehabilitation approach after stroke. Soft robotic exosuits that enhance post-stroke gait mechanics have the potential to improve the rehabilitative outcomes achieved by high-intensity gait training. The objective of this development-of-concept pilot crossover study was to evaluate the outcomes achieved by high-intensity gait training with versus without soft robotic exosuits.

methodsIn this 2-arm pilot crossover study, four individuals post-stroke completed twelve visits of speed-based, high-intensity gait training: six consecutive visits of Robotic Exosuit Augmented Locomotion (REAL) gait training and six consecutive visits without the exosuit (CONTROL). The intervention arms were counterbalanced across study participants and separated by 6 + weeks of washout. Walking function was evaluated before and after each intervention using 6-minute walk test (6MWT) distance and 10-m walk test (10mWT) speed. Moreover, 10mWT speeds were evaluated before each training visit, with the time-course of change in walking speed computed for each intervention arm. For each participant, changes in each outcome were compared to minimal clinically-important difference (MCID) thresholds. Secondary analyses focused on changes in propulsion mechanics and associated biomechanical metrics.

resultsLarge between-group effects were observed for 6MWT distance (d = 1.41) and 10mWT speed (d = 1.14). REAL gait training resulted in an average pre-post change of 68 ± 27 m (p = 0.015) in 6MWT distance, compared to a pre-post change of 30 ± 16 m (p = 0.035) after CONTROL gait training. Similarly, REAL training resulted in a pre-post change of 0.08 ± 0.03 m/s (p = 0.012) in 10mWT speed, compared to a pre-post change of 0.01 ± 06 m/s (p = 0.76) after CONTROL. For both outcomes, 3 of 4 (75%) study participants surpassed MCIDs after REAL training, whereas 1 of 4 (25%) surpassed MCIDs after CONTROL training. Across the training visits, REAL training resulted in a 1.67 faster rate of improvement in walking speed. Similar patterns of improvement were observed for the secondary gait biomechanical outcomes, with REAL training resulting in significantly improved paretic propulsion for 3 of 4 study participants (p < 0.05) compared to 1 of 4 after CONTROL.

conclusionSoft robotic exosuits have the potential to enhance the rehabilitative outcomes produced by high-intensity gait training after stroke. Findings of this development-of-concept pilot crossover trial motivate continued development and study of the REAL gait training program.

Indexed as

RoboticsStrokeStroke RehabilitationCross-Over StudiesGaitHumansWalkingExosuitsGaitRoboticsStroke

Identifiers

PMID37936135
PMCPMC10629136

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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.