Evidence map›Paper›PMID 30140593›Full record

ArticleCurrent ophthalmology reports2018

Retinal Telemedicine.

Ru-Ik Chee, Dana Darwish, Alvaro Fernandez-Vega, Samir Patel, Karyn Jonas, Susan Ostmo, J Peter Campbell, Michael F Chiang, Rv Paul Chan

Open access · greenAbstract read
In one paragraph

Article in Current ophthalmology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Telerehabilitation for people with low vision.The Cochrane database of systematic reviews · 2020
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Telemedicine in ophthalmology in view of the emerging COVID-19 outbreak.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020
    Review
  7. Article
  8. Artificial Intelligence in Retinopathy of Prematurity Diagnosis.Translational vision science & technology · 2020
    Review
  9. Article
  10. 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

9 authors at 3 institutions in 1 country.

Ru-Ik CheeDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Dana DarwishDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Alvaro Fernandez-VegaDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Samir PatelDepartment of Ophthalmology, Wills Eye Hospital, Oregon Health & Science University, Portland, OR, United States.
Karyn JonasDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Susan OstmoDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, OR, United States.
J Peter CampbellDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, OR, United States.
Michael F ChiangDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, OR, United States.
Rv Paul ChanDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
University of Illinois Chicago · USOregon Health & Science University · USWills Eye Hospital · US

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCANANY, JAMES JASON · 1985 to 2025
$14.8M
Clinical and Genetic Analysis of Retinopathy of PrematurityR01EY019474 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CAMPBELL, JOHN PETER · 2010 to 2020
$7.0M
NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY019474
6 · The paper itself

Abstract

purpose of reviewAn update and overview of the literature on current telemedicine applications in retina. RECENT

findingsThe application of telemedicine to the field of Ophthalmology and Retina has been growing with advancing technologies in ophthalmic imaging. Retinal telemedicine has been most commonly applied to diabetic retinopathy and retinopathy of prematurity in adult and pediatric patients respectively. Telemedicine has the potential to alleviate the growing demand for clinical evaluation of retinal diseases. Subsequently, automated image analysis and deep learning systems may facilitate efficient processing of large, increasing numbers of images generated in telemedicine systems. Telemedicine may additionally improve access to education and standardized training through tele-education systems. SUMMARY: Telemedicine has the potential to be utilized as a useful adjunct but not a complete replacement for physical clinical examinations. Retinal telemedicine programs should be carefully and appropriately integrated into current clinical systems.

Indexed as

deep learningdiabetic retinopathyimage analysisRetinaretinopathy of prematuritytelemedicine

Identifiers

PMID30140593
PMCPMC6101043
OpenAlexW4229577940

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.