ArticleJournal of medical Internet research2023
Prevalence Patterns and Onset Prediction of High Myopia for Children and Adolescents in Southern China via Real-World Screening Data: Retrospective School-Based Study.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Prevalence of myopia in Chinese children and adolescents: a systematic review and meta-analysis.Journal of global health · 2026Pooled it
- Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Artificial intelligence in pathologic myopia: a review of clinical research studies.Frontiers in medicine · 2025Pooled it
- 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
- Artificial intelligence in pediatric myopia - a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- Integrating Polygenic Risk and Ocular Phenotyping Reveals an Axial-Length-Dominant Mechanism in High and Extreme High Myopia.Ophthalmology science · 2026Article
- Prevalence and incidence of myopia and high myopia among children and adolescents in Qingdao, China (2022-2024): a longitudinal study.BMC public health · 2026Article
- Association Between Pupil Area and the Efficacy of Peripheral Defocus Spectacle Lenses in Myopia Control.Translational vision science & technology · 2026Article
- Reference values of spherical equivalent for predicting the onset and progression of myopia among children and adolescents in China.The British journal of ophthalmology · 2025Article
- Optimizing myopia screening referral guidelines for children aged 4 to 18 based on non-cycloplegic indicators.BMC ophthalmology · 2025Article
- School-level prediction and management of myopia in children and adolescents.Journal of translational medicine · 2025Article
- Area-level factors influencing geographical distribution of myopia prevalence among school-aged children and adolescents in Northwest China.Journal of global health · 2025Article
- Interpretable machine learning models for predicting childhood myopia from school-based screening data.Scientific reports · 2025Article
- Analysis of the correlations between changes in posterior segment and anterior chamber segment after implantable collamer lens implantation in highly myopic patients.BMC ophthalmology · 2025Observational
- Cross-population validation of the PreMO risk indicator for predicting myopia onset in children.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025Article
- Changes in the ocular surface and meibomian glands following administration of 0.01 and 0.02% atropine.Frontiers in medicine · 2025Article
- Adherence to the Canadian 24-hour movement guidelines and vision impairment in children and adolescents: a cross-sectional study.Frontiers in medicine · 2025Article
- Association Between Myopia and Pupil Diameter in Preschoolers: Evidence from a Machine Learning Approach Based on a Real-World Large-Scale Dataset.Ophthalmology and therapy · 2024Article
- Study of myopia progression and risk factors in Hubei children aged 7-10 years using machine learning: a longitudinal cohort.BMC ophthalmology · 2024Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with high myopia have an increased lifetime risk of complications. The prevalence patterns of high myopia in children and adolescents in southern China are unclear. Early identification of high-risk individuals is critical for reducing the occurrence and development of high myopia and avoiding the resulting complications.
objectiveThis study aimed to determine the prevalence of high myopia in children and adolescents in southern China via real-world screening data and to predict its onset by studying the risk factors for high myopia based on machine learning.
methodsThis retrospective school-based study was conducted in 13 cities with different gross domestic products in southern China. Through data acquisition and filtering, we analyzed the prevalence of high myopia and its association with age, school stage, gross domestic product, and risk factors. A random forest algorithm was used to predict high myopia among schoolchildren and then assessed in an independent hold-out group.
resultsThere were 1,285,609 participants (mean age 11.80, SD 3.07, range 6-20 years), of whom 658,516 (51.2%) were male. The overall prevalence of high myopia was 4.48% (2019), 4.88% (2020), and 3.17% (2021), with an increasing trend from the age of 11 to 17 years. The rates of high myopia increased from elementary schools to high schools but decreased at all school stages from 2019 to 2021. The coastal and southern cities had a higher proportion of high myopia, with an overall prevalence between 2.60% and 5.83%. Age, uncorrected distance visual acuity, and spherical equivalents were predictive factors for high myopia onset in schoolchildren. The random forest algorithm achieved a high accuracy of 0.948. The area under the receiver operator characteristic curve (AUC) was 0.975. Both indicated sufficient model efficacy. The performance of the model was validated in an external test with high accuracy (0.971) and a high AUC (0.957).
conclusionsHigh myopia had a high incidence in Guangdong Province. Its onset in children and adolescents was well predicted with the random forest algorithm. Efficient use of real-world data can contribute to the prevention and early diagnosis of high myopia.
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