Evidence map›Paper›PMID 36311207›Full record

ArticleFrontiers in rehabilitation sciences2022

Muscle adaptations in acute SCI following overground exoskeleton + FES training: A pilot study.

Kristen Hohl, Andrew C Smith, Rebecca Macaluso, Matthew Giffhorn, Sara Prokup, Denise R O'Dell, Lina Kleinschmidt, Jim M Elliott, Arun Jayaraman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Trial
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

9 authors at 5 institutions in 2 countries.

Kristen HohlMax Näder Lab for Rehabilitation Technologies / Outcomes Lab, Shirley Ryan AbilityLab, Chicago, IL, United States.
Andrew C SmithDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, School of Medicine, University of Colorado, Aurora, CO, United States.
Rebecca MacalusoMax Näder Lab for Rehabilitation Technologies / Outcomes Lab, Shirley Ryan AbilityLab, Chicago, IL, United States.
Matthew GiffhornMax Näder Lab for Rehabilitation Technologies / Outcomes Lab, Shirley Ryan AbilityLab, Chicago, IL, United States.
Sara ProkupMax Näder Lab for Rehabilitation Technologies / Outcomes Lab, Shirley Ryan AbilityLab, Chicago, IL, United States.
Denise R O'DellDepartment of Physical Therapy, University of Kentucky College of Health Sciences, Lexington, KY, United States.
Lina KleinschmidtDepartment of Physical Therapy / Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Jim M ElliottDepartment of Physical Therapy / Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Arun JayaramanMax Näder Lab for Rehabilitation Technologies / Outcomes Lab, Shirley Ryan AbilityLab, Chicago, IL, United States.
Shirley Ryan AbilityLab · USNorthwestern University · USNorthern Sydney Local Health District · AUUniversity of Colorado Denver · USUniversity of Kentucky · US

Funding

Improving mechanistic understanding of responsiveness to spinal cord stimulation after spinal cord injuryK01HD106928 · NICHD · UNIVERSITY OF COLORADO DENVER · PI SMITH, ANDREW CRAIG · 2022 to 2025
$508k
NICHD NIH HHS K01 HD106928
6 · The paper itself

Abstract

Objective: To evaluate the combined effects of robotic exoskeleton and functional electrical stimulation (FES) training on muscle composition during over-ground gait training in persons with acute spinal cord injury (SCI). Design: Randomized crossover pilot study. Setting: Inpatient-rehabilitation Hospital. Participants: Six individuals with acute SCI. Intervention: Participants were randomized to either receive training with the Ekso® Bionics exoskeleton combined with FES in addition to standard-of-care or standard-of-care alone. Outcome measures: The main outcome measures for the study were quantified using magnetic resonance imaging (MRI), specifically, lower extremity muscle volume and intramuscular adipose tissue (IMAT). Static balance and fall risk were assessed using the Berg Balance Scale. Results: Significant improvements were observed in muscle volume in the exoskeleton intervention group when compared to only standard-of-care ( Conclusions: Early intervention with robotic exoskeleton may contribute to improved muscle function measured using MRI in individuals with acute SCI.

Indexed as

acute-SCIekso®exoskeletonMRImuscle

Identifiers

PMID36311207
PMCPMC9608781
OpenAlexW4304893474

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.