ArticleInternational ophthalmology2020
Assessment of the G-ROP study criteria for predicting retinopathy of prematurity: results from a tertiary centre in Turkey.
Article in International ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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
- Predicting Retinopathy of Prematurity in Thailand: A Practical Model for Risk-Based Screening.Diagnostics (Basel, Switzerland) · 2026Article
- Retrospective validation of the postnatal growth and retinopathy of prematurity criteria in a Chinese cohort.Frontiers in pediatrics · 2025Article
- Validation of WINROP algorithm as screening tool of retinopathy of prematurity among Egyptian preterm neonates.Eye (London, England) · 2024Article
- Article
- Validation of the postnatal growth and retinopathy of prematurity (G-ROP) screening criteria in a Thai cohort.Japanese journal of ophthalmology · 2023Article
- Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population.Journal of ophthalmology · 2023Article
- Retrospective validation of G-ROP, CO-ROP, Alex-ROP, and ROPscore predictive algorithms in two Chinese medical centers.Frontiers in pediatrics · 2023Article
- Retrospective validation of the postnatal Growth and Retinopathy of Prematurity (G-ROP) criteria in a Swiss cohort.BMC ophthalmology · 2022Article
- Validation of the Postnatal Growth and Retinopathy of Prematurity (GROP) screening criteria.Medical hypothesis, discovery & innovation ophthalmology journal · 2022Article
- Accuracy of the postnatal growth and retinopathy of prematurity screening criteria in predicting prethreshold retinopathy of prematurity in the tertiary hospital, Bangkok, Thailand.Taiwan journal of ophthalmologyArticle
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe postnatal growth and retinopathy of prematurity (G-ROP) study has proposed a new model for retinopathy of prematurity (ROP) prediction based on gestational age, birth weight and postnatal weight gain. The purpose of the current study is to assess the efficacy of the G-ROP model for predicting ROP among a Turkish cohort of premature infants.
methodsRecords of infants who underwent ROP screening examinations between 2012 and 2019 were reviewed retrospectively. Infants with a documented ROP outcome and regular body weight measurements until day 40 of life were included. The G-ROP model was applied to the study group. The outcome measures were sensitivity and specificity of the model for detecting any stage ROP and treated ROP.
resultsA total of 242 infants were included. The G-ROP model identified 168 infants to be screened for ROP. The sensitivity was 88.3% for detecting any stage ROP and 91.2% for treated ROP. The specificity for any stage ROP and treated ROP was 51.7% and 34.1%, respectively. The incorporation of bronchopulmonary dysplasia to the model increased the sensitivity to 100% with 22.7% reduction in the number of screened infants.
conclusionsThe G-ROP model is a simple and effective method for ROP prediction. However, in the current cohort, a small number of infants requiring treatment would be missed if G-ROP criteria were applied. The model may be modified with addition of bronchopulmonary dysplasia to detect all treatment requiring cases. Prospective studies among larger groups are necessary to assess the applicability of the modified model.
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