ArticleClinical ophthalmology (Auckland, N.Z.)2020
Efficacy of WINROP as a Screening Tool for Retinopathy of Prematurity in the East Coast of Malaysia.
Article in Clinical ophthalmology (Auckland, N.Z.), 2020. 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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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.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 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
- Validation of WINROP algorithm as screening tool of retinopathy of prematurity among Egyptian preterm neonates.Eye (London, England) · 2024Article
- Retinopathy of Prematurity-Targeting Hypoxic and Redox Signaling Pathways.Antioxidants (Basel, Switzerland) · 2024Review
- ASSESSMENT OF NEONATAL CARE STANDARD BY THE PREDICTIVE MODEL FOR RETINOPATHY OF PREMATURITY BASED ON WEIGHT GAIN.Acta clinica Croatica · 2023Article
- Haemoglobin Levels in Early Life among Infants with and without Retinopathy of Prematurity.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate the efficacy of the "weight, insulin-like growth factor 1, neonatal retinopathy of prematurity" (WINROP) algorithm in predicting retinopathy of prematurity (ROP) requiring treatment in Malaysia.
participantsThis was a retrospective study involving premature infants with gestational age less than 32 weeks treated from September 2016 to March 2019 in Hospital Universiti Sains Malaysia. Clinical diagnosis was made based on Early Treatment Retinopathy of Prematurity study. Participants' weekly weight gain since birth was entered in the website (http://winrop.com), along with date of birth, gestational age and final clinical examination outcome. WINROP software signals an alarm if an infant is at high risk of developing ROP requiring treatment during weight data entry. By using the alarm status, the sensitivity and specificity of this algorithm for predicting ROP requiring treatment were obtained.
resultsNinety-two infants were included in this study. An alarm was detected in 67 infants (72.8%). There were a total of 53 infants (54.6%) with no ROP, 15 (16.3%) of whom developed stage 1 ROP, 10 (10.8%) who developed stage 2 ROP and 14 infants (15.2%) who developed stage 3 ROP. In our study, WINROP sensitivity was 95.2% and specificity was 33.8%.
conclusionWINROP is recommended as an initial screening tool for premature infants at risk of developing treatment-requiring ROP in Malaysia. It may help to alert clinicians managing severely ill infants when clinical examinations are less possible.
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