ArticleTranslational vision science & technology2023
Test-Retest Reliability of Virtual Reality Devices in Quantifying for Relative Afferent Pupillary Defect.
Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Development and pilot evaluation of a binocular virtual reality Headset-Based pupillometer for quantitative assessment of pupillary light reflexes.Scientific reports · 2026Article
- Technical validation of a virtual reality-based eye tracker for neuro-ophthalmic assessment: a reliability and reproducibility study.Scientific reports · 2026Article
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- Dynamic Visual Acuity, Vestibulo-Ocular Reflex, and Visual Field in National Football League (NFL) Officiating: Physiology and Visualization Engineering for 3D Virtual On-Field Training.Vision (Basel, Switzerland) · 2024Article
- Topological state-space estimation of functional human brain networks.PLoS computational biology · 2024Article
- Meta smart glasses-large language models and the future for assistive glasses for individuals with vision impairments.Eye (London, England) · 2024Article
- Diagnostic accuracy of a modularized, virtual-reality-based automated pupillometer for detection of relative afferent pupillary defect in unilateral optic neuropathies.Frontiers in ophthalmology · 2024Article
- Artificial Intelligence Frameworks to Detect and Investigate the Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS).Brain sciences · 2023Review
- The spaceflight contrast sensitivity hypothesis and its role to investigate the pathophysiology of spaceflight-associated neuro-ocular syndrome.Frontiers in ophthalmology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The swinging flashlight test (SFT) is one of the most prominent clinical tests for detecting the relative afferent pupillary defect (RAPD). A positive RAPD localizes the lesion to the affected afferent pupil pathway and is a critical part of any ophthalmic exam. Testing for an RAPD, however, can be challenging (especially when small), and there is significant intrarater and interrater variability. Methods: Prior studies have shown that the pupillometer can improve the detection and measurement of RAPD. In our previous research, we have demonstrated an automatic SFT by utilizing virtual reality (VR), named VR-SFT. We applied our methods to two different brands of VR headsets and achieved comparable results by using a metric, called RAPD score, for differentiating between patients with and without (control) RAPD. We also performed a second VR-SFT on 27 control participants to compare their scores with their first assessments and measure test-retest reliability of VR-SFT. Results: Even in the absence of any RAPD positive data, the intraclass correlation coefficient produces results between 0.44 and 0.83 that are considered of good to moderate reliability. The same results are echoed by the Bland-Altman plots, indicating low bias and high accuracy. The mean of the differences of measurements from test-retest ranges from 0.02 to 0.07 for different protocols and different devices. Conclusions: As variability among various VR devices is an important factor that clinicians should consider, we discuss the test-retest reliability of VR-SFT and the variability among various assessments and between two devices. Translational Relevance: Our study demonstrates the critical necessity of establishing test-retest reliability measures when bridging virtual reality technology into the clinical setting for relevant afferent pupillary defect.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.