ArticleClinics (Sao Paulo, Brazil)2018
The ROPScore as a Screening Algorithm for Predicting Retinopathy of Prematurity in a Brazilian Population.
Article in Clinics (Sao Paulo, Brazil), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Prevalence of retinopathy of prematurity in African preterm infants and evaluation of the accuracy of the WINROP predictive algorithm: an observational clinical study.BMC ophthalmology · 2025Observational
- Retrospective validation of G-ROP, CO-ROP, Alex-ROP, and ROPscore predictive algorithms in two Chinese medical centers.Frontiers in pediatrics · 2023Article
- Diagnostic Accuracy of WINROP, CHOP-ROP and ROPScore in Detecting Type 1 Retinopathy of Prematurity.Indian pediatrics · 2021Observational
- Using ROPScore and CHOP ROP for early prediction of retinopathy of prematurity in a Chinese population.Italian journal of pediatrics · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
objectivesTo evaluate the accuracy of the ROPScore algorithm as a predictor of retinopathy of prematurity (ROP).
methodsA prospective cohort of 220 preterm infants with a birth weight ≤1500 g and/or gestational age ≤32 weeks was included. The ROPScore was determined in the sixth week of life in 181 infants who then survived until a corrected gestational age of 45 weeks. The sensitivity, specificity, and positive (PPV) and negative predictive values (NPV) of the algorithm were analyzed.
resultsROP was found in 17.6% of the preterm infants. The sensitivity of this test for any stage of ROP was 87.5%, while that for severe ROP was 95.4% (21/22 cases). The PPV and NPV were 59.6% and 97%, respectively, for any stage of ROP and 44.7% and 99.25%, respectively, for severe ROP. The ROPScore could therefore hypothetically reduce the number of ophthalmologic examinations required to detect ROP by 71.8%.
conclusionThe ROPScore is a useful screening tool for ROP and may optimize examinations and especially the identification of severe ROP.
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