Evidence map›Paper›PMID 34582428›Full record

ArticleAsia-Pacific journal of ophthalmology (Philadelphia, Pa.)

Real-Time Mobile Teleophthalmology for the Detection of Eye Disease in Minorities and Low Socioeconomics At-Risk Populations.

Lama A Al-Aswad, Cansu Yuksel Elgin, Vipul Patel, Deborah Popplewell, Kalashree Gopal, Dan Gong, Zach Thomas, Devon Joiner, Cha-Kai Chu, Stephen Walters and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Asia-Pacific journal of ophthalmology (Philadelphia, Pa.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Mobile Eye Units in the United States and Canada: A Narrative Review of Structures, Services and Challenges.International journal of environmental research and public health · 2025
    Review
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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

17 authors at 3 institutions in 1 country.

Lama A Al-AswadNew York University (NYU) Grossman school of Medicine, NYU Langone Health, NY, US.
Cansu Yuksel ElginNew York University (NYU) Grossman school of Medicine, NYU Langone Health, NY, US.
Vipul PatelNew York University (NYU) Grossman school of Medicine, NYU Langone Health, NY, US.
Deborah PopplewellColumbia University Medical Center, New York, NY, US.
Kalashree GopalColumbia University Medical Center, New York, NY, US.
Dan GongColumbia University Medical Center, New York, NY, US.
Zach ThomasColumbia University Medical Center, New York, NY, US.
Devon JoinerColumbia University Medical Center, New York, NY, US.
Cha-Kai ChuColumbia University Medical Center, New York, NY, US.
Stephen WaltersColumbia University Medical Center, New York, NY, US.
Maya RamachandranColumbia University Medical Center, New York, NY, US.
Rahul KapoorColumbia University Medical Center, New York, NY, US.
Maribel Rodriguez
Jennifer Alcantara-CastilloNew York University (NYU) Grossman school of Medicine, NYU Langone Health, NY, US.
Gladys E MaestreDepartment of Neuroscience, Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, US.
Joseph H LeeColumbia University Medical Center, New York, NY, US.
Golnaz MoazamiColumbia University Medical Center, New York, NY, US.
Columbia University Irving Medical Center · USNew York University · USThe University of Texas Rio Grande Valley · US

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
Rio Grande Valley Alzheimer's Resource Center for Minority Aging Research: Partnerships for ProgressP30AG059305 · NIA · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI Gladys E. Maestre · 2018 to 2026
$5.8M
Manhattan Vision Screening and Follow-Up Study in Vulnerable PopulationsU01DP006436 · DP · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HARK, LISA A. · 2019 to 2023
$3.5M
Gene-Environment Interactions in Cognition in Venezuelan FamiliesR01AG036469 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CHACON, INARA, MAESTRE, GLADYS E. · 2011 to 2015
$2.7M
HEY: Hispanic Eye StudyR21EY029605 · NEI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI AL-ASWAD, LAMA A, MAESTRE, GLADYS E. · 2018 to 2019
$352k
NEI NIH HHS R21 EY029605NIA NIH HHS P30 AG059305NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG036469
6 · The paper itself

Abstract

purposeTo examine the benefits and feasibility of a mobile, real-time, community-based, teleophthalmology program for detecting eye diseases in the New York metro area.

designSingle site, nonrandomized, cross-sectional, teleophthalmologic study.

methodsParticipants underwent a comprehensive evaluation in a Wi-Fi-equipped teleophthalmology mobile unit. The evaluation consisted of a basic anamnesis with a questionnaire form, brief systemic evaluations and an ophthalmologic evaluation that included visual field, intraocular pressure, pachymetry, anterior segment optical coherence tomography, posterior segment optical coherence tomography, and nonmydriatic fundus photography. The results were evaluated in real-time and follow-up calls were scheduled to complete a secondary questionnaire form. Risk factors were calculated for different types of ophthalmological referrals.

resultsA total of 957 participants were screened. Out of 458 (48%) participants that have been referred, 305 (32%) had glaucoma, 136 (14%) had narrow-angle, 124 (13%) had cataract, 29 had (3%) diabetic retinopathy, 9 (1%) had macular degeneration, and 97 (10%) had other eye disease findings. Significant risk factors for ophthalmological referral consisted of older age, history of high blood pressure, diabetes mellitus, Hemoglobin A1c measurement of ≥6.5, and stage 2 hypertension. As for the ocular parameters, all but central corneal thickness were found to be significant, including having an intraocular pressure >21 mm Hg, vertical cup-to-disc ratio ≥0.5, visual field abnormalities, and retinal nerve fiber layer thinning.

conclusionsMobile, real-time teleophthalmology is both workable and effective in increasing access to care and identifying the most common causes of blindness and their risk factors.

Indexed as

Eye DiseasesOphthalmologyTelemedicineAgedCross-Sectional StudiesHumansIntraocular PressureRisk FactorsSocioeconomic FactorsTomography, Optical Coherence

Identifiers

PMID34582428
PMCPMC8794049
OpenAlexW3201943972

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.