Effect of Using Myopia Prediction Algorithm
NCT04005014 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1680
Last updated 2019-07-02
Summary
In this study, the investigators aim to perform a prospective, randomized controlled study to compare the myopia development between children using myopia prediction algorithm and children without using myopia prediction algorithm.
Conditions
- Eye--Refractive Errors
Interventions
- OTHER
-
Myopia prediction algorithm
Candidate predictors included age at examination, SE, and annual progression rate. Using these predictors, the algorithm will be used to predict SE and whether patients will progress to high myopia in the subsequent 10 years.
Sponsors & Collaborators
-
Sun Yat-sen University
lead OTHER
Principal Investigators
-
Haotian Lin · Zhongshan Ophthalmic Center, Sun Yat-sen University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 8 Years
- Max Age
- 9 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2019-07-08
- Primary Completion
- 2021-01-31
- Completion
- 2021-01-31
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