Evidence map›Paper›PMID 28385303›Full record

Trial reportOphthalmology2017

Assessment of a Tele-education System to Enhance Retinopathy of Prematurity Training by International Ophthalmologists-in-Training in Mexico.

Samir N Patel, Maria Ana Martinez-Castellanos, David Berrones-Medina, Ryan Swan, Michael C Ryan, Karyn E Jonas, Susan Ostmo, J Peter Campbell, Michael F Chiang, R V Paul Chan and 2 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Evaluation of computer-based retinopathy of prematurity (ROP) education for ophthalmology residents: a randomized, controlled, multicenter study.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2019
    Trial
  3. Review
  4. Digital Education in Ophthalmology.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Developing a pediatric ophthalmology telemedicine program in the COVID-19 crisis.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2020
    Article
  9. Telemedicine for Retinopathy of Prematurity.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
    Review
  10. Practice Guidelines for Ocular Telehealth-Diabetic Retinopathy, Third Edition.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
    Article
  11. Artificial Intelligence in Retinopathy of Prematurity Diagnosis.Translational vision science & technology · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

12 authors at 3 institutions in 2 countries.

Samir N PatelDepartment of Ophthalmology, Weill Cornell Medical College, New York, New York.
Maria Ana Martinez-CastellanosAsociación para Evitar la Ceguera en México, Mexico City, Mexico.
David Berrones-MedinaAsociación para Evitar la Ceguera en México, Mexico City, Mexico.
Ryan SwanDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon.
Michael C RyanDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, Oregon.
Karyn E JonasDepartment of Ophthalmology, Weill Cornell Medical College, New York, New York; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois.
Susan OstmoDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, Oregon.
J Peter CampbellDepartment of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, Oregon.
Michael F ChiangDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon; Department of Ophthalmology, Casey Eye Institute at Oregon Health & Science University, Portland, Oregon.
R V Paul ChanDepartment of Ophthalmology, Weill Cornell Medical College, New York, New York; Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, Illinois; Center for Global Health, College of Medicine, University of Illinois at Chicago, Chicago, Illinois. Electronic address: rvpchan@uic.edu.
GEN-ROP
i-ROP Research Consortium
Oregon Health & Science University · USCornell University · USAsociacion Para Evitar la Ceguera en México Hospital Dr. Luis Sánchez Bulnes · MX

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
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
Translational Vision Science Research at Oregon Health & Science UniversityT32EY023211 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Yali Jia, Kate E Keller · 2013 to 2026
$2.4M
Oregon Clinical and Translational Research InstituteTL1TR000129 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$613k
Automated retinopathy of prematurity classification using machine learningR21EY022387 · NEI · MASSACHUSETTS GENERAL HOSPITAL · PI CHIANG, MICHAEL F., KALPATHY-CRAMER, JAYASHREE · 2013 to 2014
$482k
NCATS NIH HHS TL1 TR000129NEI NIH HHS P30 EY001792NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY019474NEI NIH HHS R21 EY022387NEI NIH HHS T32 EY023211
6 · The paper itself

Abstract

purposeTo evaluate a tele-education system developed to improve diagnostic competency in retinopathy of prematurity (ROP) by ophthalmologists-in-training in Mexico.

designProspective, randomized cohort study.

participantsFifty-eight ophthalmology residents and fellows from a training program in Mexico consented to participate. Twenty-nine of 58 trainees (50%) were randomized to the educational intervention (pretest, ROP tutorial, ROP educational chapters, and posttest), and 29 of 58 trainees (50%) were randomized to a control group (pretest and posttest only).

methodsA secure web-based educational system was created using clinical cases (20 pretest, 20 posttest, and 25 training chapter-based) developed from a repository of over 2500 unique image sets of ROP. For each image set used, a reference standard ROP diagnosis was established by combining the clinical diagnosis by indirect ophthalmoscope examination and image-based diagnosis by multiple experts. Trainees were presented with image-based clinical cases of ROP during a pretest, posttest, and training chapters.

main outcome measuresThe accuracy of ROP diagnosis (e.g., plus disease, zone, stage, category) was determined using sensitivity and specificity calculations from the pretest and posttest results of the educational intervention group versus control group. The unweighted kappa statistic was used to analyze the intragrader agreement for ROP diagnosis by the ophthalmologists-in-training during the pretest and posttest for both groups.

resultsTrainees completing the tele-education system had statistically significant improvements (P < 0.01) in the accuracy of ROP diagnosis for plus disease, zone, stage, category, and aggressive posterior ROP (AP-ROP). Compared with the control group, trainees who completed the ROP tele-education system performed better on the posttest for accurately diagnosing plus disease (67% vs. 48%; P = 0.04) and the presence of ROP (96% vs. 91%; P < 0.01). The specificity for diagnosing AP-ROP (94% vs. 78%; P < 0.01), type 2 ROP or worse (92% vs. 84%; P = 0.04), and ROP requiring treatment (89% vs. 79%; P < 0.01) was better for the trainees completing the tele-education system compared with the control group. Intragrader agreement improved for identification of plus disease, zone, stage, and category of ROP after completion of the educational intervention.

conclusionsA tele-education system for ROP education was effective in improving the diagnostic accuracy of ROP by ophthalmologists-in-training in Mexico. This system has the potential to increase competency in ROP diagnosis and management for ophthalmologists-in-training from middle-income nations.

Indexed as

Clinical CompetenceInternetEducation, Medical, GraduateFollow-Up StudiesHumansMexicoOphthalmologistsOphthalmologyProspective StudiesReproducibility of ResultsRetinopathy of PrematurityTelemedicine

Identifiers

PMID28385303
PMCPMC7895299
OpenAlexW2604408352

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.