Evidence map›Paper›PMID 34632255›Full record

ArticleJournal of vitreoretinal diseases2021

Comparison of Telemedicine Screening of Diabetic Retinopathy by Mydriatic Smartphone-Based vs Nonmydriatic Tabletop Camera-Based Fundus Imaging.

Yong Seok Han, Mythili Pathipati, Carolyn Pan, Loh-Shan Leung, Mark Scott Blumenkranz, David Myung, Brian Chiwing Toy

Open access · greenAbstract read
In one paragraph

Article in Journal of vitreoretinal diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Modern Approach to Diabetic Retinopathy Diagnostics.Diagnostics (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
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

7 authors at 4 institutions in 1 country.

Yong Seok HanDepartment of Ophthalmology, University of Southern California Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Mythili PathipatiDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, CA, USA.
Carolyn PanDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, CA, USA.
Loh-Shan LeungDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, CA, USA.
Mark Scott BlumenkranzDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, CA, USA.
David MyungDepartment of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Palo Alto, CA, USA.
Brian Chiwing ToyDepartment of Ophthalmology, University of Southern California Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Stanford University · USSanta Clara Valley Medical Center · USSouthern California Eye Institute · USUniversity of Southern California · US

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Ophthalmic Therapeutics Engineering CoreP30EY029220 · NEI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Mahnaz Shahidi · 2018 to 2026
$6.5M
NEI NIH HHS L30 EY030684NEI NIH HHS P30 EY026877NEI NIH HHS P30 EY029220
6 · The paper itself

Abstract

purposeTo compare dilated smartphone-based imaging with a nonmydriatic, tabletop fundus camera as a teleophthalmology screening tool for diabetic retinopathy (DR).

methodsThis was a single-institutional, cross-sectional, comparative-instrument study. Fifty-six patients at a safety-net hospital underwent teleophthalmology screening for DR using standard, nonmydriatic fundus photography with a tabletop camera (Nidek NM-1000) and dilated fundus photography using a smartphone camera with lens adapter (Paxos Scope, Verana Health). Masked graders performed standardized photo grading. Quantitative comparisons were performed employing descriptive, κ, Bland-Altman, and receiver operating characteristic analyses.

resultsPosterior segment photography was of sufficient quality to grade in 89% of mydriatic smartphone-imaged eyes and in 86% of nonmydriatic tabletop camera-imaged eyes (

conclusionsMydriatic smartphone-based imaging resulted in fewer ungradable photos compared to nonmydriatic table-top camera imaging and detected more patients with referral-warranted DR. Our study supports the use of mydriatic smartphone teleophthalmology as an alternative method to screen for DR.

Indexed as

diabetic retinopathyfundus photographynonmydriatic camerascreeningsmartphonetelemedicine

Identifiers

PMID34632255
PMCPMC8496880
OpenAlexW3092180023

What OpenQuestion holds

Textmetadata
LicenceTDM
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.