Evidence map›Paper›PMID 37971719›Full record

ArticleEuropean journal of physical and rehabilitation medicine2024

Do patients with neurological disorders benefit from immersive virtual reality? A scoping review on the emerging use of the computer-assisted rehabilitation environment.

Maria G Maggio, Rocha P Cezar, Demetrio Milardi, Daniele Borzelli, Cristiano DE Marchis, Andrea D'Avella, Angelo Quartarone, Rocco S Calabrò

Open access · diamondAbstract readScoping Review
In one paragraph

Article in European journal of physical and rehabilitation medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.6field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Metaverse-Related and Immersive Digital Technologies in Neurorehabilitation: A Scoping Review.Archives of rehabilitation research and clinical translation · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

8 authors at 3 institutions in 2 countries.

Maria G MaggioIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.
Rocha P CezarDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Demetrio MilardiDepartment of Biomedical Sciences, Dentistry, and Morpho-Functional Imaging, University of Messina, Messina, Italy.
Daniele BorzelliDepartment of Biomedical Sciences, Dentistry, and Morpho-Functional Imaging, University of Messina, Messina, Italy.
Cristiano DE MarchisDepartment of Engineering, University of Messina, Messina, Italy.
Andrea D'AvellaDepartment of Biomedical Sciences, Dentistry, and Morpho-Functional Imaging, University of Messina, Messina, Italy.
Angelo QuartaroneIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy.
Rocco S CalabròIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy - roccos.calabro@irccsme.it.
University of Messina · ITCentro Neurolesi Bonino Pulejo · ITWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVirtual reality (VR) is an advanced technology that creates simulated environments and conditions. By offering the possibility of combining motor, cognitive, and well-being in conjunction with the potential to manipulate multi-sensorial features in a safe environment, VR has emerged as a promising powerful rehabilitation tool. Among advanced VR systems, various authors have highlighted promising effects in the rehabilitation of the computer-assisted rehabilitation environment (CAREN - Motekforce Link; Amsterdam, The Netherlands). In our scoping review, we aimed to map the existing evidence on the use of CAREN in the rehabilitation of neurological patients. EVIDENCE ACQUISITION: This scoping review was conducted following the PRISMA guidelines. A search was carried out for all peer-reviewed articles published until June 30, 2023, using the following databases: PubMed, Embase, Cochrane Database, PeDro and Web of Science. The following terms have been used: ("Cognitive Rehabilitation" OR "Motor Rehabilitation" OR "CAREN" or "Computer-Assisted Rehabilitation Environment") AND ("Virtual Reality" OR "Rehab"). EVIDENCE SYNTHESIS: From the assessed studies, only seven met the inclusion criteria: 1) one study concerned cognitive rehabilitation in patients suffering from Parkinson's Disease (PD); 2) one was on the usability of CAREN in PD patients; 3) two studies related to the influence of emotional components to CAREN rehabilitation; 4) three studies were related to motor rehabilitation using CAREN, and involved individuals with PD, Multiple Sclerosis, TBI, respectively. Generally, the few assessed studies demonstrate that CAREN is a safe and potentially effective tool to treat different symptoms (including gait and vestibular disturbances, executive function, depressive mood, and anxiety) in patients with different neurological disorders.

conclusionsThe reviewed literature indicated the potential use of CAREN in improving motor and cognitive skills with conflicting results on emotional aspects. However, since the data comes from few and small sample size studies, further research is needed to confirm the effectiveness of the tool in neurorehabilitation.

Indexed as

Nervous System DiseasesVirtual RealityHumansNeurological RehabilitationTherapy, Computer-Assisted

Identifiers

PMID37971719
PMCPMC10939039
OpenAlexW4388736213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.