Evidence map›Paper›PMID 29710185›Full record

ArticleJAMA ophthalmology2018

Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity.

Sang Jin Kim, J Peter Campbell, Jayashree Kalpathy-Cramer, Susan Ostmo, Karyn E Jonas, Dongseok Choi, R V Paul Chan, Michael F Chiang, Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in JAMA ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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, 22 citations in OpenAlex.

  1. Trial
  2. Impact of image enhancement on grading agreement of plus disease features in retinopathy of prematurity.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Artificial Intelligence in Retinopathy of Prematurity Diagnosis.Translational vision science & technology · 2020
    Review
  9. Article
  10. Plus Disease in Retinopathy of Prematurity: More Than Meets the ICROP?Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Sang Jin KimDepartment of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.
J Peter CampbellDepartment of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.
Jayashree Kalpathy-CramerAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown.
Susan OstmoDepartment of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.
Karyn E JonasDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Dongseok ChoiDepartment of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.
R V Paul ChanDepartment of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago.
Michael F ChiangDepartment of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland.
Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium
Oregon Health & Science University · USUniversity of Illinois Chicago · USKyung Hee University · KRMassachusetts General Hospital · USSamsung Medical Center · KR

Funding

Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
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 R01 EY019474NIBIB NIH HHS P41 EB015896
6 · The paper itself

Abstract

Importance: Presence of plus disease in retinopathy of prematurity is the most critical element in identifying treatment-requiring disease. However, there is significant variability in plus disease diagnosis. In particular, plus disease has been defined as 2 or more quadrants of vascular abnormality, and it is not clear whether it is more reliably and accurately diagnosed by eye-based assessment of overall retinal appearance or by quadrant-based assessment combining grades of 4 individual quadrants. Objective: To compare eye-based vs quadrant-based diagnosis of plus disease and to provide insight for ophthalmologists about the diagnostic process. Design, Setting, and Participants: In this multicenter cohort study, we developed a database of 197 wide-angle retinal images from 141 preterm infants from neonatal intensive care units at 9 academic institutions (enrolled from July 2011 to December 2016). Each image was assigned a reference standard diagnosis based on consensus image-based and clinical diagnosis. Data analysis was performed from February 2017 to September 2017. Interventions: Six graders independently diagnosed each of the 4 quadrants (cropped images) of the 197 eyes (quadrant-based diagnosis) as well as the entire image (eye-based diagnosis). Images were displayed individually, in random order. Quadrant-based diagnosis of plus disease was made when 2 or more quadrants were diagnosed as indicating plus disease by combining grades of individual quadrants post hoc. Main Outcomes and Measures: Intragrader and intergrader reliability (absolute agreement and κ statistic) and accuracy compared with the reference standard diagnosis. Results: Of the 141 included preterm infants, 65 (46.1%) were female and 116 (82.3%) white, and the mean (SD) gestational age was 27.0 (2.6) weeks. There was variable agreement between eye-based and quadrant-based diagnosis among the 6 graders (Cohen κ range, 0.32-0.75). Four graders showed underdiagnosis of plus disease with quadrant-based diagnosis compared with eye-based diagnosis (by McNemar test). Intergrader agreement of quadrant-based diagnosis was lower than that of eye-based diagnosis (Fleiss κ, 0.75 [95% CI, 0.71-0.78] vs 0.55 [95% CI, 0.51-0.59]). The accuracy of eye-based diagnosis compared with the reference standard diagnosis was substantial to near-perfect, whereas that of quadrant-based plus disease diagnosis was only moderate to substantial for each grader. Conclusions and Relevance: Graders had lower reliability and accuracy using quadrant-based diagnosis combining grades of individual quadrants than with eye-based diagnosis, suggesting that eye-based diagnosis has advantages over quadrant-based diagnosis. This has implications for more precise definitions of plus disease regarding the criterion of 2 or more quadrants, clinical care, computer-based image analysis, and education for all ophthalmologists who manage retinopathy of prematurity.

Indexed as

Diagnostic Techniques, OphthalmologicalCohort StudiesDilatation, PathologicFemaleGestational AgeHumansImage Interpretation, Computer-AssistedInfantInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalMaleObserver VariationPhotographyReproducibility of ResultsRetinal Artery

Identifiers

PMID29710185
PMCPMC6145779
OpenAlexW2800872589

What OpenQuestion holds

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Registered trials

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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.