Evidence map›Paper›PMID 36433944›Full record

ArticleSpinal cord series and cases2022

A motor learning-based postural intervention with a robotic trunk support trainer to improve functional sitting in spinal cord injury: case report.

V Santamaria, X Ai, S K Agrawal

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Spinal cord series and cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

V SantamariaDepartment of Physical Therapy, New York Medical College, New York, NY, USA.
X AiDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
S K AgrawalDepartment of Mechanical Engineering, Columbia University, New York, NY, USA. sunil.agrawal@columbia.edu.
Columbia University · USNew York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designSingle-subject-research-design.

objectivesTo improve seated postural control in a participant with spinal cord injury (SCI) with a robotic Trunk-Support-Trainer (TruST).

settingLaboratory.

methodsTruST delivered "assist-as-needed" forces on the participant's torso during a motor learning-and-control-based intervention (TruST-intervention). TruST-assistive forces were progressed and matched to the participant's postural trunk control gains across six intervention sessions. The T-shirt test was used to capture functional improvements while dressing the upper body. Kinematics were used to compute upper body excursions (cm) and velocity (cm

resultsAfter TruST-intervention, the participant halved the time needed to don and doff a T-shirt, increased muscle force of trunk muscles (mean = 3 kg), acquired a steadier postural sitting control without vision (mean excursion baseline: 76.0 ± 2 SD = 5.25 cm and post-intervention: 44.1 cm; and mean velocity baseline: 3.0 ± 2 SD = 0.2 cm/s and post-intervention: 1.8 cm/s), and expanded his sitting workspace area (mean baseline: 36.7 ± 2 SD = 36.6 cm

conclusionsOur data indicate a potential effectiveness of TruST-intervention to promote functional sitting in SCI.

Indexed as

RoboticsRobotic Surgical ProceduresSpinal Cord InjuriesHumansSitting PositionTorso

Identifiers

PMID36433944
PMCPMC9700847
OpenAlexW4310060938

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.