Evidence map›Paper›PMID 40491690›Full record

ArticleFrontiers in rehabilitation sciences2025

Effect of robotic-assisted gait training on functional independence measure scores in patients with acquired brain injury: retrospective study.

Andrea M Ethier, Luis A Escalante, Nathan West, Christina M Kwasnica

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Andrea M EthierDepartment of Neuro-Rehabilitation, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Luis A EscalanteDepartment of Neuro-Rehabilitation, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Nathan WestDepartment of Neuro-Rehabilitation, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Christina M KwasnicaDepartment of Neuro-Rehabilitation, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Many individuals with acquired brain injury require inpatient rehabilitation services. Robotic devices, including robotic exoskeletons for gait training, have been shown to optimize rehabilitation efforts and functional outcomes. The purpose of this study was to investigate the effect of robotic-assisted gait training using the Ekso GT robotic-assisted gait training device (Ekso Bionics) on Functional Independence Measure (FIM) scores in patients with subacute acquired brain injuries. Methods: This retrospective study assessed patients who participated in traditional physical therapy during an acute neurological rehabilitation stay; study group participants also received at least 3 robotic-assisted gait training sessions during their rehabilitation stay. Patient medical records were reviewed retrospectively to collect patient demographic and clinical data, including patient age and sex, admission date, acquired brain injury category, number of robotic-assisted gait training sessions and session details, length of stay, and admission and discharge FIM overall scores, as well as the scores for the gait, transfer, motor, and cognition FIM subscales. Change in FIM score was used as the primary outcome measure. Results: The study group and the control group each included 56 patients (study group: 44 patients with cerebrovascular accident, 12 with traumatic brain injury; control group: 45 patients with cerebrovascular accident, 11 with traumatic brain injury). Summary statistics revealed similar characteristics between the groups in all areas except mean length of stay, which was significantly longer in the study group ( Discussion/conclusion: These results indicate that robotic walking devices, when used for gait training in patients with acquired brain injury, led to similar improvements in FIM scores compared with traditional gait training. No negative effects were observed associated with the use of this robotic walking device in patients recovering from acquired brain injury.

Indexed as

brain injuryexoskeletongaitroboticstherapy

Identifiers

PMID40491690
PMCPMC12146194

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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.