Evidence map›Paper›PMID 42291384›Full record

ArticleTurkish journal of physical medicine and rehabilitation2026

Concurrent validation of an immersive virtual reality version of the box and block test, the 360° turn test, and the five times sit-to-stand test to assess the functional status of stroke patients.

Ahmet Kivanc Menekseoglu, Selim Sezikli, Selen Bilget, Umut Yilmaz, Tugba Sahbaz

Abstract read
In one paragraph

Article in Turkish journal of physical medicine and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Ahmet Kivanc MenekseogluDepartment of Physical Medicine and Rehabilitation, MVZ Berlinomed, Berlin, Germany.ORCID 0000-0001-5126-3554
Selim SezikliDepartment of Physical Medicine and Rehabilitation, University of Health Sciences İstanbul Training and Research Hospital, İstanbul, Türkiye.ORCID 0000-0002-5380-4972
Selen BilgetDepartment of Physical Medicine and Rehabilitation, University of Health Sciences İstanbul Training and Research Hospital, İstanbul, Türkiye.ORCID 0000-0002-6553-0999
Umut YilmazIottech Inc., Software Engineer, İstanbul, Türkiye.ORCID 0009-0006-2790-4001
Tugba SahbazDepartment of Physical Medicine and Rehabilitation, Beykent University, İstanbul, Türkiye.ORCID 0000-0002-5974-8991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to develop immersive virtual reality (VR) versions of the box and block test (BBT), the 360° turn test, and five times sit-to-stand (5TSTS) test to evaluate functional status within a VR-mediated gamified environment and assess their concurrent validity. Patients and methods: Thirty participants (18 males, 12 females; mean age: 59.9±11.9 years; range, 25 to 82 years) with a stroke diagnosis were included in the prospective study between February 2024 and August 2024. Each participant completed the BBT, 360° turn test, and 5TSTS test three times using both VR-based and traditional methods. Concurrent validity was examined by analyzing the correlations between VR-mediated and traditional test results. The test-retest reliability of the VR-based assessments was evaluated using intraclass correlation coefficients (ICCs). The usability of the developed software was also assessed using the System Usability Scale. Results: Strong correlations were found between VR-based and traditional assessment methods for the affected side in the BBT (r=0.562; p<0.001), in the 360° turn test (r=0.838; p<0.001), and 5TSTS (r=0.733; p<0.001). Interrater reliability was high and statistically significant across all tests (ICC >0.80, p<0.001). The usability of the developed software was rated as good (mean System Usability Scale score: 70.8±15.6). Conclusion: The VR-based versions of the BBT, 360° turn test, and 5TSTS are valid, reliable, and user-friendly tools for assessing functional status in stroke patients. These assessments show promise for integration into clinical settings and remote rehabilitation programs.

Indexed as

Balancegamificationlower limbstrokeupper limbvirtual reality

Identifiers

PMID42291384
PMCPMC13261367

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LicenceCC BY-NC
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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.