Investigating the Effect of Using Myopia Prediction Algorithm on Myopia Children
NCT ID: NCT04044755
Last Updated: 2019-08-07
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
2138 participants
INTERVENTIONAL
2019-08-03
2020-11-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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Using myopia prediction algorithm
After examination of visual acuity, eye refraction and biometrics, the examination results are shown to the children. Meanwhile, myopia prediction algorithm will be used to predict SER at 3 years.
Myopia prediction algorithm
Candidate predictors mainly includes age at examination, SER, and annual progression rate. Using these predictors, the algorithm will be used to predict SER at 3 years.
Not using myopia prediction algorithm
After examination of visual acuity, eye refraction and biometrics, the examination results are shown to the children.
No interventions assigned to this group
Interventions
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Myopia prediction algorithm
Candidate predictors mainly includes age at examination, SER, and annual progression rate. Using these predictors, the algorithm will be used to predict SER at 3 years.
Eligibility Criteria
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Inclusion Criteria
* Has the record of eye refraction examined in the past year, SER\<-0.5D
* Current BCVA≥0.8, SER\<-0.5D, Astigmatism less than 1.50 D, anisometropia less than 1.50 D
* Written informed consents provided
Exclusion Criteria
* Previous eye surgery
* Previous usage of orthokeratology lenses and atropine
* Unwilling to participate in this trial
8 Years
10 Years
ALL
Yes
Sponsors
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Sun Yat-sen University
OTHER
Responsible Party
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Haotian Lin
Clinical Professor
Principal Investigators
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Haotian Lin
Role: PRINCIPAL_INVESTIGATOR
Zhongshan Ophthalmic Center, Sun Yat-sen University
Locations
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Zhongshan Ophthalmic Centre
Guangzhou, Guangdong, China
Countries
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Central Contacts
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Facility Contacts
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Yahan Yang
Role: primary
Other Identifiers
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CCPMOH2019-China-3
Identifier Type: -
Identifier Source: org_study_id
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