{"doi":"10.1016/j.oret.2026.01.020","title":"Global Validation of the Postnatal Growth and Retinopathy of Prematurity Screening Model","abstract":null,"journal":"Ophthalmology Retina","year":2026,"id":615666,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1587015,"name":"Hsin-Ho Chang","orcid":null,"position":1,"is_corresponding":false},{"id":1587016,"name":"Tai-Chi Lin","orcid":null,"position":2,"is_corresponding":false},{"id":1587018,"name":"Shih-Jen Chen","orcid":null,"position":3,"is_corresponding":false},{"id":1587020,"name":"Jin-Hua Chen","orcid":null,"position":4,"is_corresponding":false},{"id":1587014,"name":"Sheng-Chu Chi","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Global Validation of the Postnatal Growth and Retinopathy of Prematurity Screening Model","abstract":"

Topic

The Postnatal Growth and Retinopathy of Prematurity (G-ROP) criteria, incorporating postnatal weight gain, are widely validated for retinopathy of prematurity (ROP) screening. We assessed the G-ROP algorithm's diagnostic accuracy across various outcomes and explored heterogeneity sources.

Clinical relevance

If G-ROP maintains sensitivity with fewer examinations, it would optimize screening for this blinding disease.

Methods

We searched PubMed, Embase, and Cochrane databases (through September 2024) for studies using G-ROP to predict type 1, type 2, treated, or any-stage ROP. We assessed risk of bias using Quality Assessment of Diagnostic Accuracy Studies-2 and certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach. The protocol was prospectively registered with International Prospective Register of Systematic Reviews (CRD42024571794).

Results

Twenty-three studies were included. For type 1 ROP (17 cohorts; 1406 infants), sensitivity was 0.99 (95% confidence interval [CI]: 0.99-1.00; I2 = 44.5%) and specificity (9 cohorts; 2522 infants) was 0.34 (95% CI: 0.32-0.36; I2 = 96.3%). The diagnostic odds ratio (DOR) was 6.22 (95% CI: 2.34-16.53; I2 = 40.7%), and the area under the curve (AUC) was 0.87 (95% CI: 0.83-0.90). Certainty of evidence was high for sensitivity and low for specificity and DOR. For type 2 ROP, pooled sensitivity from 9 cohorts (871 infants) was 0.98 (95% CI: 0.97-0.99; I2 = 41.4%), whereas specificity from 3 cohorts (621 infants) was 0.25 (95% CI: 0.22-0.29; I2 = 92.2%). The DOR was 3.21 (95% CI: 1.24-8.28; I2 = 0%), and the AUC was 0.76 (95% CI: 0.72-0.80). Certainty was high for sensitivity, very low for specificity, and moderate for DOR. For any-stage ROP, pooled sensitivity from 16 cohorts (3674 infants) was 0.87 (95% CI: 0.86-0.88; I2 = 90.2%), whereas specificity from 13 cohorts (2846 infants) was 0.45 (95% CI: 0.43-0.47; I2 = 95.8%). The DOR was 5.88 (95% CI: 3.89-8.89; I2 = 75.3%), and the AUC was 0.78 (95% CI: 0.74-0.81). Certainty was low for sensitivity, low for specificity, and moderate for DOR.

Conclusion

The G-ROP algorithm demonstrates consistently high sensitivity, particularly for type 1 and treated ROP, supporting its use as a screening tool for severe disease. Although the model reduces examinations compared with current standards, its low specificity may limit its usefulness in low-resource settings, where minimizing unnecessary screening is essential.

Financial disclosure(s)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41621807","pmcid":null,"openalex_id":"https://openalex.org/W7126208457","authors":[],"funders":[{"funder_name":"Taipei Veterans General Hospital","grant_id":"","title":null}],"total_grants":1,"fwci":0.0,"citation_percentile":0.09644552,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"https://www.elsevier.com/legal/tdmrep-license","oa_locations":[{"url":"https://api.elsevier.com/content/article/PII:S2468653026000436?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S2468653026000436?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.oret.2026.01.020","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41621807","host_type":"repository"}],"fields_of_study":["Retinopathy of Prematurity Studies","Preterm Birth and Chorioamnionitis","Neonatal and Maternal Infections","Humans","Retinopathy of Prematurity","Infant, Newborn","Neonatal Screening","Gestational Age","Algorithms","Weight Gain"],"mesh_terms":["Algorithms","Gestational Age","Humans","Infant, Newborn","Retinopathy of Prematurity","Weight Gain","Neonatal Screening"],"keywords":["Retinopathy of prematurity","Retinopathy","MEDLINE","Limit (mathematics)","Medical screening","Retinopathy Of Prematurity.","G-Rop"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-02T20:43:02.747323Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}