SynthesisInternational ophthalmology2022
A meta-analysis of prognostic biomarkers in neonatal retinal hemorrhage.
Synthesis in International ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Post-mortem fundus examination after sudden unexpected death in infancy (SUDI): can we do better? a study based on the French SUDI registry.International journal of legal medicine · 2026Article
- Fundus Photography-Based Distribution of Retinal Hemorrhages in Newborns: Implications for Underlying Mechanisms.Journal of personalized medicine · 2025Article
- Trends in Neonatal Ophthalmic Screening Methods.Diagnostics (Basel, Switzerland) · 2022Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNeonatal retinal hemorrhage (RH) is a frequently occurring neonatal fundus condition and a very common ocular abnormality in neonates. Some of the key factors that influence the rate of RH are the mode of delivery, examination techniques, and time of examination after birth. The prognostic markers of severe RH are poorly known, making it difficult for an efficient diagnosis, prognosis, and treatment. Hence, to better understand the mechanism of disease, its study at the molecular level is required. Prognostic biomarkers are an essential tool for understanding the pathogenesis of the disease. In this paper, we present a meta-analysis of biomarkers to understand disease pathogenesis and support better diagnosis, prognosis, and treatment of neonatal RH.
methodsThe meta-analysis was carried out by following the recommendation of PRISMA. The relevant articles were crawled using a systematic keyword using MeSH terms from the MEDLINE, PubMed, and Scopus databases, which were subjected to manual screening for reported biomarkers by two independent reviewers. The obtained biomarkers were further analyzed for gene-disease association and functional enrichment analysis.
resultsOur meta-analysis suggests that genes ABCC6, Beta-APP, COL2A1, COL4A1, DNM2, ENPP1, IKBKG, ITGB2, IL-6, SELE, TREX1, and VEGFA are potential prognostic biomarkers associated with the neonatal RH. The gene-disease association and functional enrichment analysis suggest that few genes are associated with disease class "Vision"; however, some genes in the list are associated with the disease class "Pharmacogenomic," "Immune," "Renal."
conclusionThe identified prognostic gene biomarkers may help to understand disease pathogenesis and provide a better diagnosis, prognosis, and treatment of neonatal RH.
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