Evidence map›Paper›PMID 37479488›Full record

ArticleBMJ case reports2023

Novel use of robot-assisted gait rehabilitation in a patient with stroke and blindness.

Jin Rui Edmund Neo, Christine Alejandro Visperas, Melvin Peng Hwee Tan, San San Tay

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2023. 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
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Jin Rui Edmund NeoRehabilitation Medicine, Changi General Hospital, Singapore.ORCID http://orcid.org/0000-0002-8295-2317
Christine Alejandro VisperasRehabilitation Medicine, Changi General Hospital, Singapore.
Melvin Peng Hwee TanRehabilitative Services, Changi General Hospital, Singapore.
San San TayRehabilitation Medicine, Changi General Hospital, Singapore taysansan@yahoo.com.ORCID http://orcid.org/0000-0002-6623-6265
Changi General Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted gait training (RAGT) is an effective adjunctive treatment for patients with stroke that helps to regain functional mobility and is applied in many rehabilitation units for poststroke neurorecovery. We discuss our successful attempt to apply RAGT in a patient with blindness that impeded his ability to maintain balance during gait training. He initially required two assistants to walk, but after undergoing conventional therapy with adjunctive RAGT, he improved to standby assistance for ambulation. There were also improvements in balance, activity tolerance and quality of life. Low-or-no vision states can affect the pace of recovery poststroke, but RAGT and conventional physiotherapy can possibly be combined in such patients to improve balance and motor outcomes. The Andago robot's safety features of weight support, harnessed suspension and walking mode selection supported our decision and enabled us to apply it safely for this patient.

Indexed as

RoboticsStrokeBlindnessGaitHumansMaleQuality of LifePhysiotherapy (rehabilitation)Rehabilitation medicineStroke

Identifiers

PMID37479488
PMCPMC10364153
OpenAlexW4385063863

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.