ArticleAmerican journal of ophthalmology2017
Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007.
Article in American journal of ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Application of a Quantitative Vascular Severity Score in Retinopathy of Prematurity in the United States and India: New Insights Into Disease Epidemiology and Pathophysiology.American journal of ophthalmology · 2026Article
- Intravitreal Bevacizumab nanoparticles ameliorates retinal vasculopathy in an in vivo mouse model of retinopathy of prematurity.Pediatric research · 2026Article
- Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging.PLOS digital health · 2026Article
- Automated Feature Segmentation of Ultra-Widefield OCT Images.Ophthalmology science · 2026Article
- Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity.Ophthalmology · 2024Article
- Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology.Ophthalmology. Retina · 2022Article
- Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis.Ophthalmology · 2022Article
- Retinopathy of prematurity classification updates: possible implications for treatment.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2022Article
- Impact of Artificial Intelligence on Medical Education in Ophthalmology.Translational vision science & technology · 2021Article
- Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.Ophthalmology. Retina · 2020Article
- Article
- The genetics of retinopathy of prematurity: a model for neovascular retinal disease.Ophthalmology. Retina · 2018Article
- Plus Disease in Retinopathy of Prematurity: More Than Meets the ICROP?Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo identify any temporal trends in the diagnosis of plus disease in retinopathy of prematurity (ROP) by experts.
designReliability analysis.
methodsROP experts were recruited in 2007 and 2016 to classify 34 wide-field fundus images of ROP as plus, pre-plus, or normal, coded as "3," "2," and "1," respectively, in the database. The main outcome was the average calculated score for each image in each cohort. Secondary outcomes included correlation on the relative ordering of the images in 2016 vs 2007, interexpert agreement, and intraexpert agreement.
resultsThe average score for each image was higher for 30 of 34 (88%) images in 2016 compared with 2007, influenced by fewer images classified as normal (P < .01), a similar number of pre-plus (P = .52), and more classified as plus (P < .01). The mean weighted kappa values in 2006 were 0.36 (range 0.21-0.60), compared with 0.22 (range 0-0.40) in 2016. There was good correlation between rankings of disease severity between the 2 cohorts (Spearman rank correlation ρ = 0.94), indicating near-perfect agreement on relative disease severity.
conclusionsDespite good agreement between cohorts on relative disease severity ranking, the higher average score and classifications for each image demonstrate that experts are diagnosing pre-plus and plus disease at earlier stages of disease severity in 2016, compared with 2007. This has implications for patient care, research, and teaching, and additional studies are needed to better understand this temporal trend in image-based plus disease diagnosis.
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Registered trials
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.