Evidence map›Paper›PMID 40622596›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2025

Evaluating a virtual reality visual fields analyzer in an urban, underserved glaucoma & glaucoma suspect patient populations to identify disparities.

Owais M Aftab, Yash S Shah, Anup Dupaguntla, Tracy Andrews, Rashika Verma, Jasmine Mahajan, Priya Tailor, Rita Vought, Bernard C Szirth, Albert S Khouri and 1 more

Abstract read
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Owais M AftabRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Yash S ShahDepartment of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Anup DupaguntlaRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Tracy AndrewsDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Rashika VermaRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Jasmine MahajanDepartment of Ophthalmology, SUNY Downstate Medical Center, Brooklyn, NY, USA.
Priya TailorDepartment of Ophthalmology, Medstar Georgetown Hospital,, Washington, DC, USA.
Rita VoughtRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Bernard C SzirthRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Albert S KhouriRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA.
Miriam M HabielRutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Doctor's Office Center, 90 Bergen Street, Suite 6100, Newark, NJ, 07103, USA. mh1264@njms.rutgers.edu.ORCID http://orcid.org/0000-0001-6510-1273

Funding

New Jersey Health Foundation PC 15-21CV
6 · The paper itself

Abstract

purposeTo evaluate the utility of wearable visual field perimetry in an urban, underserved patient population and identify disparities in its utility as a screening tool.

methods175 eyes from 105 participants (46 non-glaucomatous eyes from 34 participants and 113 glaucomatous eyes from 74 participants; 16 eyes failed inclusion criteria) presenting at University Hospital in Newark, New Jersey for glaucoma evaluation underwent testing by both the Humphrey Visual Field Analyzer™ (HFA) and PalmScan VF2000 G2™. Glaucoma severity was classified as per the Hoddap criteria. Mean deviation (MD), pattern standard deviation (PSD), visual field index (VFI), mean sensitivity (MS), & area under the receiver operating curve (AUC) on analysis adjusted for inter-eye correlation.

resultsThe VF2000 and HFA significantly differed in VFI as the VF2000 consistently underestimated VFI (p = 0.003) but did not significantly differ in MD (p = 0.664) or PSD (p = 0.584). The VF2000 had significantly fewer false positives (p < 0.001) and fixation losses (p = 0.001) but was a significantly longer exam (p = 0.018). On a multivariate logistic regression model adjusting for both inter-eye correlation and demographic variables, the VF2000 had an AUC of 0.7007, indicating fair agreement when identifying severe glaucoma. Language, age, and sex did not independently impact odds of agreement between the two devices; however, differences based on the interaction of age and language were observed.

conclusionOur analysis of the Humphrey Visual Field against the virtual reality PalmScan VF2000 G2™ in an urban, diverse population found subtle disparities in predictive staging of glaucoma. Future studies may need to account for these disparities by evaluating the combinations of demographic interactions rather than evaluating them as independent, unrelated factors. KEY MESSAGES: What is known Portable perimetry and virtual reality headsets have been used with moderate efficacy in screenings for glaucoma, but gaps exist in the quality of results as compared to the Humphrey Visual Fields Analyzer. What is new The PalmScan VF2000 G2, a portable perimetry headset, may be suitable as a screening device, but it is not advanced enough to differentiate glaucoma stage as effectively as HFA analysis. Disparities along social determinants of health do exist in VF2000 detection of glaucoma, though these manifestations may be subtle and tied to the interaction of many complex factors. Future studies may benefit from examining the interaction between demographic factors as variables predictive of outcome.

Indexed as

GlaucomaIntraocular PressureUrban PopulationVirtual RealityVisual FieldsVisual Field TestsVulnerable PopulationsAdultAgedFemaleHumansMaleMiddle AgedROC CurveGlaucomaPortable perimetrySocial disparities

Identifiers

PMID40622596
PMCPMC12583304

What OpenQuestion holds

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LicenceCC BY
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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.