Evidence map›Paper›PMID 27255156›Full record

Trial reportJournal of neuroengineering and rehabilitation2016

Task-specific ankle robotics gait training after stroke: a randomized pilot study.

Larry W Forrester, Anindo Roy, Charlene Hafer-Macko, Hermano I Krebs, Richard F Macko

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 30 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 8 pooled it
5.5field-weighted citation impact, top 4% 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.

NCT01337960 nacompletednot on this map

Ankle Robotics Training After Stroke: Effects on Gait and Balance

TypeinterventionalSponsorUS Department of Veterans AffairsRan2011 to 2014Enrolled41ConditionsSeated Treadmill Training, Treadmill Locomotor-based Training, Treadmill OnlyArmsSeated Robot Training (SRT), Treadmill Locomotor-based Training (TMR), Treadmill Only (TMO)
NCT04137809 nawithdrawnnot on this mapstarted 2020, after this paper: background citation

TREAT Foot Drop After Stroke With Ankle Robot

TypeinterventionalSponsorNextStep Robotics Inc.Ran2020 to 2020Enrolled0ConditionsFoot Drop, Stroke, HemiparesisArmsAMBLE
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 8 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  6. The Improvement of Walking Ability Following Stroke.Deutsches Arzteblatt international · 2018
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  8. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2017
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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

5 authors at 5 institutions in 3 countries.

Larry W ForresterMaryland Exercise & Robotics Center of Excellence, Veterans Affairs Maryland Health Care System, Geriatrics Research, Education, and Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, USA.
Anindo RoyDepartment of Neurology, University of Maryland School of Medicine; University Maryland Rehabilitation & Orthopaedics Institute; Maryland Exercise & Robotics Center of Excellence, Veterans Affairs Maryland Health Care System, Baltimore, MD, USA.
Charlene Hafer-MackoDepartment of Neurology, University of Maryland School of Medicine; University Maryland Rehabilitation & Orthopaedics Institute; Maryland Exercise & Robotics Center of Excellence, Veterans Affairs Maryland Health Care System; Geriatrics Research, Education, and Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, USA.
Hermano I KrebsDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Richard F MackoDepartment of Neurology, University of Maryland School of Medicine; University Maryland Rehabilitation & Orthopaedics Institute; Maryland Exercise & Robotics Center of Excellence, Veterans Affairs Maryland Health Care System; Geriatrics Research, Education, and Clinical Center, Veterans Affairs Medical Center, Baltimore, MD, USA. rmacko@grecc.umaryland.edu.
Osaka University · JPUniversity of Maryland, Baltimore · USUniversity of Maryland Rehabilitation & Orthopaedic Institute · USVA Maryland Health Care System · USVeterans Health Administration · US

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
NIA NIH HHS P30 AG028747
6 · The paper itself

Abstract

backgroundAn unsettled question in the use of robotics for post-stroke gait rehabilitation is whether task-specific locomotor training is more effective than targeting individual joint impairments to improve walking function. The paretic ankle is implicated in gait instability and fall risk, but is difficult to therapeutically isolate and refractory to recovery. We hypothesize that in chronic stroke, treadmill-integrated ankle robotics training is more effective to improve gait function than robotics focused on paretic ankle impairments.

findingsParticipants with chronic hemiparetic gait were randomized to either six weeks of treadmill-integrated ankle robotics (n = 14) or dose-matched seated ankle robotics (n = 12) videogame training. Selected gait measures were collected at baseline, post-training, and six-week retention. Friedman, and Wilcoxon Sign Rank and Fisher's exact tests evaluated within and between group differences across time, respectively. Six weeks post-training, treadmill robotics proved more effective than seated robotics to increase walking velocity, paretic single support, paretic push-off impulse, and active dorsiflexion range of motion. Treadmill robotics durably improved gait dorsiflexion swing angle leading 6/7 initially requiring ankle braces to self-discarded them, while their unassisted paretic heel-first contacts increased from 44 % to 99.6 %, versus no change in assistive device usage (0/9) following seated robotics.

conclusionsTreadmill-integrated, but not seated ankle robotics training, durably improves gait biomechanics, reversing foot drop, restoring walking propulsion, and establishing safer foot landing in chronic stroke that may reduce reliance on assistive devices. These findings support a task-specific approach integrating adaptive ankle robotics with locomotor training to optimize mobility recovery. CLINICAL TRIAL IDENTIFIER: NCT01337960. https://clinicaltrials.gov/ct2/show/NCT01337960?term=NCT01337960&rank=1.

Indexed as

AdultAnkle JointExercise TherapyGaitGait Disorders, NeurologicHumansMaleMiddle AgedParesisPilot ProjectsRoboticsStrokeStroke RehabilitationHemiparetic gaitLocomotor trainingRoboticsStrokeTask-specific training

Identifiers

PMID27255156
PMCPMC4890526
OpenAlexW2410135354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.