A Prospective School-based Study of Myopia in Children in Southern China
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Myopia
- Sponsor
- Sun Yat-sen University
- Enrollment
- 4000
- Locations
- 2
- Primary Endpoint
- Incident myopia
- Last Updated
- 6 years ago
Overview
Brief Summary
Myopia is a common cause of vision loss, being particularly prevalent in children in East and Southeast Asia. The investigators will assess prevalence and incidence of myopia, identify digital biomarkers associated with myopia, and validate algorithms for the detection and/or predition of myopia and other ocular abnormalities in school-aged children in both urban and rural settings in Southern China.
Detailed Description
Myopia is a common cause of vision loss, being particularly prevalent in East and Southeast Asia. It is still not entirely clear whether and how visual experience in an urban environment with less outdoor exposure could have an impact on the development and progression of myopia. Zhaoqing has a relatively stable population of 4,084,600, which are representative of the Chinese population in term of demographic and socioeconomic characteristics. Therefore, the investigators will conduct a longitudinal cohort study in both urban and rural settings to examine prevalence and incidence of myopia, identify digital biomarkers associated with myopia, and validate algorithms for the detection and/or predition of incidence and progression of myopia and other ocular abnormalities in school-aged children in Zhaoqing.
Investigators
Yingfeng Zheng
Clinical investigator
Sun Yat-sen University
Eligibility Criteria
Inclusion Criteria
- •All first-grade students from 10 primary schools in urban counties, and from 10 primary schools in rural counties, Zhaoqing city.
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Incident myopia
Time Frame: 3 years
Incident myopia is defined as myopia detected during follow up among those without myopia at baseline. Myopia is defined as any eye's SER (sphere + 1/2 cylinder) of at least -0.5 diopters (D).
Secondary Outcomes
- Prevalence of myopia(baseline)
- Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of fast progressing myope(1 year)
- Area under the receiver operating characteristic curve of the diagnostic algorithm in identifying abnormal vision screening result(baseline)
- Change in axial length(1 year, 2 years, 3 years)
- Sensitivity and specificity of the deep learning algorithm for the prediction of fast progressing myope(1 year)
- Sensitivity and specificity of the diagnostic algorithm in identifying abnormal vision screening result(baseline)
- Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of incident myopia(1 year)
- Prevalence of amblyopia, strabismus and other ocular abnormalities(baseline)
- Sensitivity and specificity of the deep learning algorithm for the prediction of incident myopia(1 year)
- Post-vision screening referral uptake(3 months)