Evidence map›Paper›PMID 29556414›Full record

ArticlePilot and feasibility studies2018

Exoskeleton-assisted gait training to improve gait in individuals with spinal cord injury: a pilot randomized study.

Shuo-Hsiu Chang, Taimoor Afzal, TIRR SCI Clinical Exoskeleton Group, Jeffrey Berliner, Gerard E Francisco

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03011099 (Improving Gait Performance in Individuals With Spinal Cord Injuries), which is not on this map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 8% 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.

NCT03011099 nacompletednot on this map

Improving Gait Performance in Individuals With Spinal Cord Injuries: an Intervention Using Robotic Exoskeletons

TypeinterventionalSponsorThe University of Texas Health Science Center, HoustonRan2014 to 2016Enrolled12ConditionsSpinal Cord InjuriesArmsRobotic exoskeleton training, Conventional physical therapy
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Center of Mass Estimation for Impaired Gait Assessment Using Inertial Measurement Units.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  18. Article
  19. Review
  20. 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

5 authors at 2 institutions in 1 country.

Shuo-Hsiu Chang1Department of Physical Medicine and Rehabilitation, the University of Texas Health Science Center at Houston, 1333 Moursund Street, Houston, TX 77030 USA.ORCID 0000-0001-9173-2044
Taimoor Afzal1Department of Physical Medicine and Rehabilitation, the University of Texas Health Science Center at Houston, 1333 Moursund Street, Houston, TX 77030 USA.
TIRR SCI Clinical Exoskeleton Group
Jeffrey Berliner4Craig Hospital, 3425 S Clarkson St, Englewood, CO 80113 USA.
Gerard E Francisco1Department of Physical Medicine and Rehabilitation, the University of Texas Health Science Center at Houston, 1333 Moursund Street, Houston, TX 77030 USA.
Memorial Hermann Institute for Rehabilitation and Research Foundation · USCraig Hospital · US

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
NCATS NIH HHS UL1 TR000371
6 · The paper itself

Abstract

backgroundRobotic wearable exoskeletons have been utilized as a gait training device in persons with spinal cord injury. This pilot study investigated the feasibility of offering exoskeleton-assisted gait training (EGT) on gait in individuals with incomplete spinal cord injury (iSCI) in preparation for a phase III RCT. The objective was to assess treatment reliability and potential efficacy of EGT and conventional physical therapy (CPT).

methodsForty-four individuals were screened, and 13 were eligible to participate in the study. Nine participants consented and were randomly assigned to receive either EGT or CPT with focus on gait. Subjects received EGT or CPT, five sessions a week (1 h/session daily) for 3 weeks. American Spinal Injury Association (ASIA) Lower Extremity Motor Score (LEMS), 10-Meter Walk Test (10MWT), 6-Minute Walk Test (6MWT), Timed Up and Go (TUG) test, and gait characteristics including stride and step length, cadence and stance, and swing phase durations were assessed at the pre- and immediate post- training. Mean difference estimates with 95% confidence intervals were used to analyze the differences.

resultsAfter training, improvement was observed in the 6MWT for the EGT group. The CPT group showed significant improvement in the TUG test. Both the EGT and the CPT groups showed significant increase in the right step length. EGT group also showed improvement in the stride length.

conclusionEGT could be applied to individuals with iSCI to facilitate gait recovery. The subjects were able to tolerate the treatment; however, exoskeleton size range may be a limiting factor in recruiting larger cohort of patients. Future studies with larger sample size are needed to investigate the effectiveness and efficacy of exoskeleton-assisted gait training as single gait training and combined with other gait training strategies.

trial registrationClinicaltrials.org, NCT03011099, retrospectively registered on January 3, 2017.

Indexed as

ExoskeletonRehabilitationSpinal cord injury

Identifiers

PMID29556414
PMCPMC5839068
OpenAlexW2796960928

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.