Evidence map›Paper›PMID 42527035›Full record

ArticleBMJ case reports2026

Robot-assisted gait training using a robotic exoskeleton during inpatient rehabilitation in acute Guillain-Barré Syndrome.

Joon Sin Ser, Siew Kwaon Lui

Abstract readCase Reports
In one paragraph

Article in BMJ case reports, 2026. 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
–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

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.

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

2 authors.

Joon Sin SerRehabilitation Medicine, Singhealth Residency, Singapore joonsin.ser@mohh.com.sg.ORCID http://orcid.org/0009-0005-2241-6634
Siew Kwaon LuiDepartment of Rehabilitation Medicine, Singapore General Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A woman in her early 60s with acute Guillain-Barré syndrome (GBS) developed rapidly progressive tetraparesis and respiratory failure requiring non-invasive ventilation. Following intravenous immunoglobulin and medical stabilisation, she entered inpatient rehabilitation with severe weakness, poor truncal control and inability to ambulate. Despite intensive conventional therapy, early gait training was limited. Exoskeleton-based robot-assisted gait training (RAGT) using the Hybrid Assistive Limb (HAL; Cyberdyne Inc, Tsukuba, Japan) was introduced during inpatient rehabilitation as an adjunct to standard therapy. The patient completed 10 HAL sessions over a 15-day period without adverse events. During this time, progressive improvements in ambulatory distance and functional independence were observed. By completion of HAL training, she was able to ambulate 50 m with a walking stick and minimal assistance. She subsequently continued conventional rehabilitation and achieved independent ambulation by discharge. This case suggests that HAL-based RAGT may be a feasible adjunct to inpatient rehabilitation in medically stable patients with acute GBS. The intervention was well tolerated in this patient. Further studies are required to establish patient-selection criteria, optimal timing and the effectiveness of exoskeleton-assisted gait training in GBS.

Indexed as

Exercise TherapyExoskeleton DeviceGaitGuillain-Barre SyndromeRoboticsFemaleHumansInpatientsMiddle AgedTreatment OutcomeDisabilityPhysiotherapy (rehabilitation)Rehabilitation medicine

Identifiers

PMID42527035
PMCPMC13422238

What OpenQuestion holds

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Registered trials

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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.