ArticleAnnals of medicine2024
Development of a nomogram for predicting myopia risk among school-age children: a case-control study.
Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06852105 (Compare the Clinical Efficacy of 3% Diquafosol and 0.1% Hyaluronic Acid in Patients with Dry Eye After Trans-PRK), which is not on this map. Cited by 13 papers.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Compare the Clinical Efficacy of 3% Diquafosol and 0.1% Hyaluronic Acid in Patients with Dry Eye After Trans-PRK
Who cites it
13 citing papers in PubMed, 12 citations in OpenAlex.
- Global and Regional Burden of Refraction Disorders In Children, Adolescents and Young Adults from 1990 to 2021: Trends, Inequalities and Future Predictions with Machine Learning.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 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
- Deep Learning Prediction of Childhood Myopia Progression Using Fundus Image and Refraction Data.JAMA network open · 2026Article
- Application of spot vision screening combined with axial length measurement for early identification of myopia risk in Chinese Young children.Frontiers in pediatrics · 2026Article
- A Predictive Model for Personalized Fitting of Peripheral Defocus Spectacles Based on Ocular Biometric Parameters.Clinical optometry · 2026Article
- Predicting myopia risk using a machine learning model based on fundus imageomics.Scientific reports · 2025Article
- Establishment and Evaluation of Nomogram Model for Predicting the Risk of Arteriovenous Fistula Dysfunction in Patients Undergoing MHD.Healthcare (Basel, Switzerland) · 2025Article
- Tracking myopia development through axial length progression: a retrospective longitudinal study.Annals of medicine · 2025Article
- Efficacy and safety of orthokeratology sequentially combined with escalating atropine concentrations for myopia control in children.Scientific reports · 2025Article
- Interaction effect of age and axial length-to-corneal radius ratio on myopia in children and adolescents: a cross-sectional study in China.Journal of translational medicine · 2025Article
- Optimizing myopia screening referral guidelines for children aged 4 to 18 based on non-cycloplegic indicators.BMC ophthalmology · 2025Article
- A nomogram for identifying premyopia and myopia candidates in Chinese children: focusing on those with cycloplegic spherical equivalent refraction ≤ + 0.75D.BMC ophthalmology · 2025Article
- Cutoff Values of Noncycloplegic Spherical Equivalent Refraction for Myopia Detection in Southwestern Chinese Children.Journal of ophthalmology · 2025Article
Corrections and comments
- Erratum issuedCorrection.2024
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo analyze the factors influencing myopia and construct a nomogram to forecast the risk of myopia among school-age children, providing a reference for identifying high-risk groups to aid prevention and control.
methodsThis case-control study enrolled 3512 students from three primary schools in Shenzhen using random cluster sampling for a questionnaire survey, myopia screening and ocular biometric parameter measurement. Logistic regression was used to analyze the influencing factors of myopia, and a nomogram was constructed to forecast myopia risk. Bootstrap resampling was used to verify the practicability of the nomogram.
resultsOlder age (odds ratio[OR] = 1.164; 95% confidence interval [CI]: 1.111-1.219), female sex (OR = 2.405; 95% CI: 2.003-2.887), maternal myopia (OR = 1.331; 95% CI: 1.114-1.589), incorrect posture during reading and writing (OR = 1.283; 95% CI: 1.078-1.528) and axial length (OR = 7.708; 95% CI: 6.044-8.288) are risk factors for myopia, whereas an increase in corneal radius (OR = 0.036; 95% CI: 0.025-0.052) is a protective factor against myopia. The area under the receiver operating characteristic (ROC) curve of the nomogram was 0.857, and the net benefit was high when the risk threshold of the decision curve analyses (DCA) ranged from 0.20 to 1.00. The measured values were consistent with the prediction.
conclusionThe nomogram was accurate in predicting the risk of myopia among schoolchildren. This study provides a reference for screening high-risk students and for individualized myopia prevention and control.
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