Evidence map›Paper›PMID 40171088›Full record

ArticleTranslational medicine @ UniSa2024

The Association of C-Mill With Traditional Physical Therapy Rehabilitation in a Multiple Sclerosis Patient: A Case Report.

Emanuele Lo Voi, Marina Garofano, Agnese Gugliandolo, Placido Bramanti, Mariaconsiglia Calabrese, Luigi Bibbò, Gianluca Fimiani, Michele Senatore, Francesco Corallo, Emanuela Mazzon and 1 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational medicine @ UniSa, 2024. 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

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.

  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

11 authors.

Emanuele Lo VoiIRCCS Centro Neurolesi Bonino Pulejo of Messina, Italy.
Marina GarofanoDepartment of Medicine, Surgery and Dentistry "Medical School of Salerno" University of Salerno, Italy.
Agnese GugliandoloIRCCS Centro Neurolesi Bonino Pulejo of Messina, Italy.
Placido BramantiUniversità degli Studi eCampus, Novedrate, Italy.
Mariaconsiglia CalabreseDepartment of Medicine, Surgery and Dentistry "Medical School of Salerno" University of Salerno, Italy.
Luigi BibbòDICEAM, Department of Cvil, Environment, Energy and Material Engineering, Reggio Calabria, Italy.
Gianluca FimianiDepartment of Informatics, University of Salerno, Italy.
Michele SenatoreOrdine dei Fisioterapisti of Salerno, Italy.
Francesco CoralloIRCCS Centro Neurolesi Bonino Pulejo of Messina, Italy.
Emanuela MazzonDepartment of Innovative Technologies in Medicine and dentistry, University of Chieti, Italy.
Alessia BramantiDepartment of Medicine, Surgery and Dentistry "Medical School of Salerno" University of Salerno, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 55-year-old woman with Multiple Scleroris (MS) was referred to undergo a course of conventional physical therapy and cognitive robotic rehabilitation. The neurological examination revealed ataxic gait, dysmetria, nystagmus, cognitive impairment of attention and memory, weakness in the four limbs. To improve balance and walking skills, 20 gait and balance rehabilitation sessions was prescribed, based on conventional physiotherapy and virtual reality. The results were evaluated with balance and walking tests and with objective test C-GAIT. This case report shows improvements in gait and balance in aMS patient obtained with a rehabilitation program that associated C-MILL with traditional physical therapy.

Indexed as

C-Mill gait assessmentMultiple sclerosisRobotic rehabilitation

Identifiers

PMID40171088
PMCPMC11960777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.