Evidence map›Paper›PMID 35990564›Full record

ArticleCureus2022

Effective Low-Cost Ophthalmological Screening With a Novel iPhone Fundus Camera at Community Centers.

Du Cheng, Rachel Babij, Daniel Cabrera, Melissa Yuan, Alexander Port, Anna Sophia Mckenney, Jeff Zhu, Sarah Van Tassel, Julianne Imperato-McGinley, Grace Sun

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 3 institutions in 1 country.

Du ChengOphthalmology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Rachel BabijOpthalmology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Daniel CabreraPsychiatry, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Melissa YuanNeurological Surgery, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Alexander PortOphthalmology, NJRetina, New Brunswick, USA.
Anna Sophia MckenneyRadiology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Jeff ZhuClinical and Translational Science Center, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Sarah Van TasselOphthalmology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Julianne Imperato-McGinleyClinical and Translational Science Center, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Grace SunOphthalmology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Cornell University · USSaint Peter's University Hospital · USPresbyterian Hospital · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Weill Cornell/Rockefeller/Sloan-Kettering MST ProgramT32GM007739 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI HSU, KATHARINE C · 1985 to 2023
$51.1M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
The Instruction of Sensory Inputs in Inhibitory Circuit Maturation in the Somatosensory CortexF30MH117939 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI BABIJ, RACHEL A · 2018 to 2021
$191k
NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NIGMS NIH HHS T32 GM007739NIMH NIH HHS F30 MH117939
6 · The paper itself

Abstract

Ophthalmologic care is inaccessible to many people due to a variety of factors, including the availability of providers, cost of equipment for ophthalmologic care, and transportation to clinics and appointments. Because many causes of blindness are both highly prevalent and preventable once identified, it is essential to address gaps in care for underserved populations. We developed a novel 3D-printed mobile retinal camera. In this study, we organized recurring student-run screening events around New York City that took place in community centers and churches, at which we utilized our device to take retinal images. Our screening events reached a diverse population of New Yorkers, disproportionately those with lower household income, many of whom had not had recent eye exams. To validate the device for use in telehealth ophthalmologic visits, we transmitted the images to a remote ophthalmologist for evaluation and compared the result with an on-site attending physician's dilated eye exam. The subjective assessment indicated that 97% of images captured with the mobile retinal camera were acceptable for telehealth analysis. Remote image assessment by achieved 92% sensitivity and 83% specificity in detecting optic disc cupping, compared to the gold-standard on-site dilated eye exam. In addition, the device was portable, affordable, and able to be used by those with relatively little ophthalmologic training. We have demonstrated the utility of this affordable mobile retinal camera for telehealth ophthalmologic evaluation during community screening events that reached an underserved population to detect disease and connect with long-term care.

Indexed as

community-basedglaucoma suspecttelemedicine (tm)training & educationvision screening

Identifiers

PMID35990564
PMCPMC9389029
OpenAlexW4292264851

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.