Effect of Using Myopia Prediction Algorithm on Myopia School-aged Children
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Myopia
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Single (Outcomes Assessor)Masking Description: The outcomes assessors involved in data management and analysis will be blinded to the group assignment. The study participants, the investigators responsible for randomization will not be masked.Primary Purpose: Other
Participation Requirements
- Age
- Between 8 years and 10 years
- Gender
- Both males and females
Description
The investigators propose to enroll myopia children aged 8-10 in China. Children will be given examinations of visual acuity, eye refraction and biometrics, and be assigned to two groups: participants in group A use myopia prediction algorithm to predict myopia development, while in Group B, the par...
The investigators propose to enroll myopia children aged 8-10 in China. Children will be given examinations of visual acuity, eye refraction and biometrics, and be assigned to two groups: participants in group A use myopia prediction algorithm to predict myopia development, while in Group B, the participants do not use myopia prediction algorithm to predict myopia development. The visual acuity, eye refraction and biometrics will be investigated over the one-year follow-up period, aiming at comparison of actual myopia development between the two groups
Tracking Information
- NCT #
- NCT04045951
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Haotian Lin Zhongshan Ophthalmic Center, Sun Yat-sen University
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