Evidence map›Paper›PMID 27663199›Full record

ArticleJournal of neuroengineering and rehabilitation2016

Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization.

Louis N Awad, Darcy S Reisman, Ryan T Pohlig, Stuart A Binder-Macleod

3 registry-linked trialsAbstract read
In one paragraph

Article 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 3 registered trials, which are not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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.

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
NCT07212608 nacompletednot on this mapstarted 2022, after this paper: background citation

Wearable Gait Interventions for Augmenting Paretic Propulsion: Towards Personalized Post-Stroke Gait Rehabilitation

TypeinterventionalSponsorBoston University Charles River CampusRan2022 to 2025Enrolled22ConditionsStrokeArmsSoft robotic exosuit, Propulsion neuroprosthesis
NCT07218107 nacompletednot on this mapstarted 2024, after this paper: background citation

Neurostimulation Exosuit Augmented Training (NEAT) in the Clinic Using a Wearable Propulsion Neuroprosthesis

TypeinterventionalSponsorBoston University Charles River CampusRan2024 to 2024Enrolled4ConditionsStrokeArmsNeurostimulation Exosuit
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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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

4 authors.

Louis N AwadDepartment of Physical Therapy and Athletic Training, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, 02215, USA. louawad@bu.edu.
Darcy S ReismanDepartment of Physical Therapy, University of Delaware, Newark, DE, 19713, USA.
Ryan T PohligDelaware Clinical and Translational Research ACCEL Program, Newark, DE, 19713, USA.
Stuart A Binder-MacleodDepartment of Physical Therapy, University of Delaware, Newark, DE, 19713, USA.

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Susan Poland Giancola · 2013 to 2026
$60.5M
Pilot Project ProgramP30GM103333 · NIGMS · UNIVERSITY OF DELAWARE · PI BUCHANAN, THOMAS S · 2012 to 2016
$5.7M
PT/PHD Predoctoral Training Program Diversity SupplementT32HD007490 · NICHD · UNIVERSITY OF DELAWARE · PI DARCY S. REISMAN · 1996 to 2026
$3.7M
Fast Treadmill Training/Functional Electrical Stimulation to Improve WalkingR01NR010786 · NINR · UNIVERSITY OF DELAWARE · PI BINDER-MACLEOD, STUART A. · 2007 to 2011
$2.8M
Locomotor Adaptations Following StrokeK01HD050582 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2006 to 2010
$645k
NICHD NIH HHS K01 HD050582NICHD NIH HHS T32 HD007490NIGMS NIH HHS P30 GM103333NIGMS NIH HHS U54 GM104941NINR NIH HHS R01 NR010786
6 · The paper itself

Abstract

backgroundWalking speed has been used to predict the efficacy of gait training; however, poststroke motor impairments are heterogeneous and different biomechanical strategies may underlie the same walking speed. Identifying which individuals will respond best to a particular gait rehabilitation program using walking speed alone may thus be limited. The objective of this study was to determine if, beyond walking speed, participants' baseline ability to generate propulsive force from their paretic limbs (paretic propulsion) influences the improvements in walking speed resulting from a paretic propulsion-targeting gait intervention.

methodsTwenty seven participants >6 months poststroke underwent a 12-week locomotor training program designed to target deficits in paretic propulsion through the combination of fast walking with functional electrical stimulation to the paretic ankle musculature (FastFES). The relationship between participants' baseline usual walking speed (UWS

resultsUWS

conclusionsCharacterizing participants based on both their walking speed and ability to generate paretic propulsion is a markedly better approach to predicting walking recovery following targeted gait rehabilitation than using walking speed alone.

Indexed as

BiomechanicsEfficacyElectrical stimulationFESGaitLocomotionPhysical TherapyPredictionPrognosticRehabilitationStrokeWalking

Identifiers

PMID27663199
PMCPMC5035477

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.