Evidence map›Paper›PMID 40535702›Full record

ArticleFrontiers in pediatrics2025

Retrospective validation of the postnatal growth and retinopathy of prematurity criteria in a Chinese cohort.

Li Li, Yanlin Gao, Yuhan Lu, Wei Chen, Mei Han

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li Li *Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China.
Yanlin Gao *Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China.
Yuhan Lu *School of Medicine, Nankai University, Tianjin, China.
Wei ChenTianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China.
Mei HanTianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the effectiveness and applicability of the postnatal growth and retinopathy of prematurity (G-ROP) screening criteria in a Chinese neonatal cohort. Methods: Data pertaining to the retinal screening of premature infants admitted to the neonatal intensive care unit from January 2021 through December 2021 were retrospectively analyzed. The severity of ROP was graded on the basis of the International Classification of Retinopathy of Prematurity criteria established in 2005. Treatment decisions for ROP were guided by the recommendations of the Early Treatment for Retinopathy of Prematurity Cooperative Group. The presence of six key variables that comprise the G-ROP screening criteria were carefully documented. The sensitivity and specificity of the G-ROP predictive algorithm in identifying infants with ROP requiring treatment were calculated. Results: A total of 352 infants with complete records were included in this study, among whom 120 infants (34.1%) were diagnosed with ROP. Of those, 21 infants (6.0%) received treatment. By applying the 6 criteria of the G-ROP model, all infants with severe ROP were successfully identified. The sensitivity of the G-ROP model in predicting treatment-requiring ROP was 100% (CI, 0.808-1.00), and the specificity was 47.8% (CI, 0.413-0.545). By applying the G-ROP criteria, the number of infants who required ROP screening would have been reduced by 122 (34.7%), while the number of screenings (1967) would have been reduced by 537 (27.3%). Conclusion: The prevalence of ROP (34.1%) and treatment-requiring ROP (6.0%) were relatively high in our cohort. Application of the G-ROP prediction model can improve the sensitivity and specificity of ROP screening. All infants with treatment-requiring ROP were correctly identified. The G-ROP screening criteria seemed to be effective and appropriate for predicting ROP in infants living in Tianjin, China.

Indexed as

G-ROPpostnatal growth and retinopathy of prematurityprediction modelretinopathy of prematurityscreening

Identifiers

PMID40535702
PMCPMC12174414

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