Evidence map›Paper›PMID 30116296›Full record

ArticleApplied bionics and biomechanics2018

Feasibility of Neurorehabilitation Using a Hybrid Assistive Limb for Patients Who Underwent Spine Surgery.

Aya Yatsugi, Takashi Morishita, Hiroyuki Fukuda, Naoya Kotani, Kenji Yagi, Hiroshi Abe, Etsuji Shiota, Tooru Inoue

Abstract read
In one paragraph

Article in Applied bionics and biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Aya YatsugiDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
Takashi MorishitaDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.ORCID 0000-0002-0789-7776
Hiroyuki FukudaDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
Naoya KotaniDepartment of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan.
Kenji YagiDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
Hiroshi AbeDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.
Etsuji ShiotaDepartment of Rehabilitation Medicine, Fukuoka University Hospital, Fukuoka, Japan.
Tooru InoueDepartment of Neurological Surgery, Fukuoka University Faculty of Medicine, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies of robotic rehabilitation have demonstrated its efficacy for neurological disorders. However, few studies have used the Hybrid Assistive Limb (HAL) during the early postoperative stage of spine disorders. We aimed to evaluate the safety and efficacy of HAL treatment during the early postoperative period for spine disorder patients. We retrospectively identified patients who underwent spine surgery and who could complete HAL treatment. We evaluated the 10-m walking test (10MWT), the modified Gait Abnormality Rating Scale (GARS-M), Barthel Index (BI), and the walking index for spinal cord injury II (WISCI II) score results before and after robotic rehabilitation. Clinical outcomes were compared after treatment. We included nine patients with various spine problems. After HAL treatment, the speed during the 10MWT significantly improved from 64.1 ± 16.0 to 74.8 ± 10.8 m/min, and the walking cadence decreased from 102.7 ± 17.6 to 92.7 ± 10.9 steps/min. The BI score also improved from 83.3 ± 16.0 to 95.6 ± 5.8, and the WISCI II score improved from 19.7 ± 0.5 to 20.0 ± 0.0. Furthermore, the total GARS-M score improved from 6.0 ± 5.7 to 2.3 ± 3.3. The maximum angles of the trunk swing were improved from 2.2 ± 1.9 to 1.2 ± 0.9 degrees. Neurorehabilitation therapy using HAL for spinal surgery patients was considered feasible following spine surgery.

Identifiers

PMID30116296
PMCPMC6079604

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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.