ArticleItalian journal of pediatrics2021
Using ROPScore and CHOP ROP for early prediction of retinopathy of prematurity in a Chinese population.
Article in Italian journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- The Use of Postnatal Weight Gain Algorithms to Predict Severe or Type 1 Retinopathy of Prematurity: A Systematic Review and Meta-analysis.JAMA network open · 2021Pooled it
- Construction of a prediction model for retinopathy of prematurity based on placenta-derived genes and clinical variables.Translational pediatrics · 2026Article
- Serum hepcidin is associated with retinopathy of prematurity and modulates oxidative stress and angiogenic responses in retinal microvascular endothelial cells.Frontiers in pediatrics · 2026Article
- Prediction of Retinopathy of Prematurity and Treatment in Very Low Birth Weight Infants Using Machine Learning on Nationwide Non-Imaging Clinical Data.Neonatology · 2026Article
- Development of a non-invasive diagnostic model for severe Retinopathy of Prematurity integrating clinical and platelet data.Scientific reports · 2025Article
- Validation of a screening score model to predict the development of retinopathy of prematurity.Scientific reports · 2025Article
- Improved linear growth after routine zinc supplementation in preterm very low birth weight infants.Pediatric research · 2025Article
- Construction of a predictive model for retinopathy of prematurity using machine learning algorithms.BMC ophthalmology · 2025Article
- Vasoactive peptides as biomarkers for the prediction of retinopathy of prematurity.Pediatric research · 2024Observational
- Retrospective validation of G-ROP, CO-ROP, Alex-ROP, and ROPscore predictive algorithms in two Chinese medical centers.Frontiers in pediatrics · 2023Article
- Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population.Journal of ophthalmology · 2023Article
- A risk scoring model to predict progression of retinopathy of prematurity for Indonesia.PloS one · 2023Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 1 country.
Funding
Abstract
purposeRetinopathy of prematurity (ROP) is a disease that causes vision loss, vision impairment, and blindness, most frequently manifesting among preterm infants. ROPScore and CHOP ROP (Children's Hospital of Philadelphia ROP) are similar scoring models to predict ROP using risk factors such as postnatal weight gain, birth weight (BW), and gestation age (GA). The purpose of this study was to compare the accuracy and difference between using ROPScore and CHOP ROP for the early prediction of ROP.
methodsA retrospective study was conducted from January 2009 to December 2019 in China. Patients eligible for enrollment included infants admitted to NICU at ≤32 weeks GA or those with ≤1500 g BW. The sensitivity and specificity of ROPScore and CHOP ROP were analyzed, as well as its suitability as an independent predictor of ROP.
resultsSevere ROP was found in 5.0% of preterm infants. The sensitivity and specificity of the ROPScore test at any stage of ROP was 55.8 and 77.8%, respectively. For severe ROP, the sensitivity and specificity was 50 and 87.0%, respectively. The area under the receiver operating characteristic curve for the ROPScore for predicting severe ROP was 0.76. This value was significantly higher than the values for birth weight (0.60), gestational age (0.73), and duration of ventilation (0.63), when each was category measured separately. For the CHOP ROP, it correctly predicted infants who developed type 1 ROP (sensitivity, 100%, specificity, 21.4%).
conclusionsThe CHOP ROP model predicted infants who developed type 1 ROP at a sensitivity of 100% whereas ROPScore had a sensitivity of 55.8%. Therefore, the CHOP ROP model is more suitable for Chinese populations than the ROPScore test. CLINICAL REGISTRATION NUMBER AND STROBE GUIDELINES: This article was a retrospective cohort study and reported the results of the ROPScore and CHOP ROP algorithms. No results pertaining to interventions on human participants were reported. Thus, registration was not required and this study followed STROBE guidelines.
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