ArticleArquivos brasileiros de oftalmologia2025
Retinopathy of prematurity: Accuracy of ROPScore and WINROP algorithms in a Brazilian population.
Article in Arquivos brasileiros de oftalmologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the sensitivity and specificity of the retinopathy of prematurity score (ROPScore) and weight, insulin-like growth factor-1, retinopathy of prematurity algorithm in predicting the risk of developing severe retinopathy of prematurity (prethreshold type 1) in a sample of preterm infants in Brazil.
methodsRetrospective analysis of medical records of preterm infants (n=288) with birth weight of ≤1500 g and/or gestational age of 23-32 weeks in a neonatal unit in Southern Brazil from May 2013 to December 2020 (92 months).
resultsThe incidence of confirmed severe retinopathy of prematurity was 6.6%. ROPScore showed a 100% sensitivity, 44.6% specificity (95% confidence interval [CI] 38.7-50.6), 11.3% positive predictive value (95% CI 6.5-16.1), and 100% negative predictive value in predicting severe retinopathy of prematurity. The weight, insulin-like growth factor-1, retinopathy of prematurity algorithm demonstrated a 78.9% sensitivity (95% CI 60.6-97.3), 51.3% specificity (95% CI 45.3-57.3), 10.3% positive predictive value (95% CI 5.3-15.2), and 97.2% negative predictive value (95% CI 94.5-99.9).
conclusionROPScore identified all patients at risk for severe retinopathy of prematurity. These findings support incorporating ROPScore into Brazilian guidelines to optimize retinopathy of prematurity screening and reduce unnecessary ophthalmologic examinations. Weight, insulin-like growth factor-1, retinopathy of prematurity's suboptimal performance in this Brazilian sample highlights the need for country-specific algorithm adjustments.
Indexed as
Identifiers
What OpenQuestion holds
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.