Evidence map›Paper›PMID 35532324›Full record

ArticleThe journal of spinal cord medicine2023

Robotic upright stand trainer (RobUST) and postural control in individuals with spinal cord injury.

Collin D Bowersock, Tanvi Pisolkar, Isirame Omofuma, Tatiana Luna, Moiz Khan, Victor Santamaria, Joel Stein, Sunil Agrawal, Susan J Harkema, Enrico Rejc

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of spinal cord medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Collin D BowersockKentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA.
Tanvi PisolkarKentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA.
Isirame OmofumaDepartment of Mechanical Engineering, Columbia University, New York, New York, USA.
Tatiana LunaDepartment of Mechanical Engineering, Columbia University, New York, New York, USA.
Moiz KhanDepartment of Mechanical Engineering, Columbia University, New York, New York, USA.
Victor SantamariaDepartment of Mechanical Engineering, Columbia University, New York, New York, USA.ORCID 0000-0002-7889-6957
Joel SteinDepartment of Rehabilitation and Regenerative Medicine, Columbia University, New York, New York, USA.
Sunil AgrawalDepartment of Mechanical Engineering, Columbia University, New York, New York, USA.
Susan J HarkemaKentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA.
Enrico RejcKentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, Kentucky, USA.ORCID 0000-0001-9368-2220
Columbia University · USUniversity of Louisville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CONTEXT/

objectiveAssessed feasibility and potential effectiveness of using a novel robotic upright stand trainer (RobUST) to deliver postural perturbations or provide assistance-as-needed at the trunk while individuals with spinal cord injury (SCI) performed stable standing and self-initiated trunk movements. These tasks were assessed with research participants' hands on handlebars for self-balance assistance (hands on) and with hands off (free hands).

designProof of concept study.

participantsFour individuals with motor complete (n = 3) or incomplete (n = 1) SCI who were not able to achieve independent standing and presented a neurological lesion level ranging from cervical 4 to thoracic 2. OUTCOME MEASURES: Ground reaction forces, trunk displacement, and electromyography activity of trunk and lower limb muscles.

resultsResearch participants received continuous pelvic assistance via RobUST, and manual trainer assistance at the knees to maintain standing. Participants were able to attempt all tasks. Free hands trunk perturbations resulted in greater load bearing-related sensory information (73% ipsilateral vertical loading), trunk displacement (57%), and muscle activation compared to hands on. Similarly, free hands stable standing with RobUST assistance-as-needed resulted in 8.5% larger bodyweight bearing, 112% larger trunk movement velocity, and higher trunk muscles activation compared to standing with hands on. Self-initiated trunk movements controlled by hands on showed 116% greater trunk displacement, 10% greater vertical ground reaction force, and greater ankle muscle activation compared to free hands.

conclusionRobUST established a safe and challenging standing environment for individuals with SCI and has the potential to improve training paradigms and assessments of standing postural control.

Indexed as

Robotic Surgical ProceduresSpinal Cord InjuriesHumansMuscle, SkeletalPostural BalanceStanding PositionTorsoForce fieldPerturbationPostural controlRoboticsSpinal cord injuryStanding

Identifiers

PMID35532324
PMCPMC10653750
OpenAlexW4229366218

What OpenQuestion holds

Textmetadata
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.