Evidence map›Paper›PMID 37279393›Full record

ArticleTranslational vision science & technology2023

Test-Retest Reliability of Virtual Reality Devices in Quantifying for Relative Afferent Pupillary Defect.

Prithul Sarker, Nasif Zaman, Joshua Ong, Phani Paladugu, Molly Aldred, Ethan Waisberg, Andrew G Lee, Alireza Tavakkoli

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 21 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

8 authors at 6 institutions in 2 countries.

Prithul SarkerHuman-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
Nasif ZamanHuman-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
Joshua OngMichigan Medicine, University of Michigan, Ann Arbor, MI, USA.
Phani PaladuguSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
Molly AldredUniversity of Texas Health Science Center, Houston, TX, USA.
Ethan WaisbergUniversity College Dublin School of Medicine, Belfield, Dublin, Ireland.
Andrew G LeeUniversity of Texas Health Science Center, Houston, TX, USA.
Alireza TavakkoliHuman-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA.
University of Nevada, Reno · USBrigham and Women's Hospital · USMichigan Medicine · USThe University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Pupil DisordersVirtual RealityHumansPupilReproducibility of Results

Identifiers

PMID37279393
PMCPMC10249680
OpenAlexW4379534822

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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.