ArticleFrontiers in public health2025
Prediction of myopia based on biometric parameters of 500,000 children and adolescents aged 3-18 years.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The application of artificial intelligence in myopia prediction for children and adolescents: a review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- Article
- Correlation between ocular biological parameters and cycloplegic refractive shift in pediatric myopia.International journal of ophthalmology · 2026Article
- The predictive accuracy of axial length to corneal curvature radius ratio for myopia in children and adolescents.Frontiers in medicine · 2026Article
- Predicting myopia risk using a machine learning model based on fundus imageomics.Scientific reports · 2025Article
- Changes in choriocapillaris blood flow density and associated factors affecting axial elongation in Chinese children and adolescents with mild to moderate myopia: a cross-sectional study.BMC ophthalmology · 2025Article
- Impact of growth parameters on refraction and ocular biometry in Chinese preschool children (3-6 years): the Beijing children eye study.Frontiers in pediatrics · 2025Article
- The role of anterior segment biomarkers in the development and progression of myopia.Taiwan journal of ophthalmologyReview
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Authors and funding
5 authors.
Funding
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Abstract
Purpose: To explore the validity and significance of the axial length/corneal radius (AL/CR) Ratio for myopia prediction in children of all ages. Methods: Between 2020 and 2022, 509,530 children and adolescents aged 3-18 years were sampled in Chengdu City, Sichuan Province, China, by whole-cluster sampling method. Measured their uncorrected visual acuity (UCVA), non-cycloplegic autorefraction, axial length (AL), and corneal radius (CR), Pearson's correlation coefficient and Receiver operating characteristic (ROC) curve were used to determine the accuracy and calculate the cutoff for myopia detection. Results: The correlation between AL/CR ratio and SE was higher than that between AL and SE at different ages and refractive states. The area under the ROC curve (AUC) of myopia detection by AL/CR ratio (0.9112) was significantly larger than that of AL (0.8923, Conclusion: Different cutoff for AL/CR ratio can be used to predict myopia for children and adolescents of different ages and genders, and this method can be widely used for clinical diagnosis and mass myopia screening.
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