ArticleJournal of translational medicine2024
Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Artificial intelligence in pathologic myopia: a review of clinical research studies.Frontiers in medicine · 2025Pooled it
- Development of a deep learning model to predict cycloplegic myopia and pre- myopia: based on a large-scale screening of school-aged children.Eye (London, England) · 2026Article
- 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
- The Predictive Value of Trace Elements in Blood Combined with Systemic Inflammatory Factors on the Effectiveness of Orthokeratology in the Treatment of Myopia.Biological trace element research · 2026Article
- AI-guided personalized predictions on myopia progression and interventions.NPJ digital medicine · 2026Article
- Identification of circadian rhythm-associated genes and therapeutic targets in myopia with dynamics simulation: a multiomics study using machine learning algorithms and Mendelian randomization.Journal of computer-aided molecular design · 2026Article
- Deep Learning Prediction of Childhood Myopia Progression Using Fundus Image and Refraction Data.JAMA network open · 2026Article
- A Predictive Model for Personalized Fitting of Peripheral Defocus Spectacles Based on Ocular Biometric Parameters.Clinical optometry · 2026Article
- Myo-ODE: continuous-time trajectory reconstruction and risk prediction of high myopia via neural ordinary differential equations.Frontiers in public health · 2026Article
- Predicting hyperopic reserve in children based on school-based vision programs with ensemble learning.Frontiers in public health · 2026Article
- SSR-stacking: a hybrid GNN-ensemble framework for high-myopia classification under simulated baseline-SE missingness.Frontiers in public health · 2026Article
- EGS-Net: a knowledge-augmented machine learning framework for predicting future high-myopia risk from longitudinal school-screening trajectories.Frontiers in medicine · 2026Article
- Optimizing myopia screening referral guidelines for children aged 4 to 18 based on non-cycloplegic indicators.BMC ophthalmology · 2025Article
- IMI-Interventions for Controlling Myopia Onset and Progression 2025.Investigative ophthalmology & visual science · 2025Review
- Artificial intelligence applications in refractive error management: A systematic review and meta-analysis.PLOS digital health · 2025Article
- Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only.Scientific reports · 2025Article
- Application of artificial intelligence in myopia prevention and control.Pediatric investigation · 2025Review
- Prediction of Myopia Among Undergraduate Students Using Ensemble Machine Learning Techniques.Health science reports · 2025Article
- 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
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundGlobal myopia prevalence poses a substantial public health burden with vision-threatening complications, necessitating effective prevention and control strategies. Precise prediction of spherical equivalent (SE), myopia, and high myopia onset is vital for proactive clinical interventions.
methodsWe reviewed electronic medical records of pediatric and adolescent patients who underwent cycloplegic refraction measurements at the Eye & Ear, Nose, and Throat Hospital of Fudan University between January 2005 and December 2019. Patients aged 3-18 years who met the inclusion criteria were enrolled in this study. To predict the SE and onset of myopia and high myopia in a specific year, two distinct models, random forest (RF) and the gradient boosted tree algorithm (XGBoost), were trained and validated based on variables such as age at baseline, and SE at various intervals. Outputs included SE, the onset of myopia, and high myopia up to 15 years post-initial examination. Age-stratified analyses and feature importance assessments were conducted to augment the clinical significance of the models.
resultsThe study enrolled 88,250 individuals with 408,255 refraction records. The XGBoost-based SE prediction model consistently demonstrated robust and better performance than RF over 15 years, maintaining an R
conclusionsThe XGBoost predictive models exhibited high accuracy in predicting SE, onset of myopia, and high myopia among children and adolescents aged 3-18 years. Our findings emphasize the importance of early and regular examinations at a young age for predicting high myopia, thereby providing valuable insights for clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.