Evidence map›Paper›PMID 34834562›Full record

ArticleJournal of personalized medicine2021

Virtual Reality and Physiotherapy in Post-Stroke Functional Re-Education of the Lower Extremity: A Controlled Clinical Trial on a New Approach.

Carlos Luque-Moreno, Pawel Kiper, Ignacio Solís-Marcos, Michela Agostini, Andrea Polli, Andrea Turolla, Angel Oliva-Pascual-Vaca

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

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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

7 authors at 6 institutions in 4 countries.

Carlos Luque-MorenoDepartment of Physiotherapy, University of Seville, 41009 Seville, Spain.ORCID 0000-0001-5209-3382
Pawel KiperPhysical Medicine and Rehabilitation Unit, Azienda ULSS 3 Serenissima, 30126 Venice, Italy.ORCID 0000-0001-5990-5734
Ignacio Solís-MarcosUnit of Humans in the Transport System, Swedish National Road and Transport Research Institute (VTI), Linköping University, 58330 Linköping, Sweden.
Michela AgostiniDepartment of Neuroscience, Section of Rehabilitation, University-General Hospital of Padova, 35128 Padova, Italy.
Andrea PolliPain in Motion International Research Group, Department of Physiotherapy, Vrije University Brussel, 1050 Brussel, Belgium.ORCID 0000-0001-8559-2217
Andrea TurollaLaboratory of Neurorehabilitation Technologies, San Camillo IRCCS, 30126 Venezia, Italy.ORCID 0000-0002-1609-8060
Angel Oliva-Pascual-VacaDepartment of Physiotherapy, University of Seville, 41009 Seville, Spain.ORCID 0000-0001-8740-1226
IRCCS San Camillo Hospital · ITAULSS 2 Marca Trevigiana · ITLinköping University · SEPain in Motion · BEUniversidad de Sevilla · ESUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous Virtual Reality (VR) systems address post-stroke functional recovery of the lower extremity (LE), most of them with low early applicability due to the gait autonomy they require. The aim of the present study was to evaluate the feasibility of a specific VR treatment and its clinical effect on LE functionality, gait, balance, and trunk control post-stroke. A controlled, prospective, clinical trial was carried out with 20 stroke patients, who were divided into two groups: the first group (VR + CP;

Indexed as

gait disordersneurologicphysical therapy modalitiespostural balancestrokevirtual reality

Identifiers

PMID34834562
PMCPMC8622451
OpenAlexW3211770133

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.