Validation of a Predictive Algorithm to Determine the Effectiveness of Orthokeratology for Myopia Control
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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-
Guangdong
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Guangzhou, Guangdong, China, 510000
- Recruiting
- Zhognshan Ophthalmic Center (Zhujiang New Town Branch), Sun Yat-sen University
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- -6.0D≤SER≤-0.5D
- Astigmatism≤2.0D
Exclusion Criteria:
- Contraindications of wearing Ortho-K.
- Diagnosis of strabismus, amblyopia and other refractive development of the eye or systemic diseases.
- Currently involved in other clinical studies.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Children with myopia
A total of 3,000 children from Zhongshan Ophthalmic Center is required to undergo ophthalmic examinations and complete questionnaires at baseline and 1yr after wearing Ortho-K.
|
Orthokeratology lenses
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
AUROC of the prediction algorithm for identifying fast progressing myopes
Time Frame: 1 year
|
Age-specific axial length (AL) changes previously described by Wang et al.(IOVS, 52 (11), 7949-53, 2011) are used as cut-off values to determine whether a child is a fast progressor or not.
A child whose AL change falls on or above the cut-off value is considered to be a fast progressor.
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity and specificity of the prediction algorithm for identifying fast progressing myopes
Time Frame: 1 year
|
The investigators will estimate sensitivity and specificity of the predictive algorithm for identifying fast progressing myopes.
|
1 year
|
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Performance of an algorithm for predicting AL
Time Frame: 1 year
|
The investigators will use mean absolute error (MAE), R square to evaluate the performance.
|
1 year
|
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Performance of an algorithm for predicting spherical equivalent refractive error
Time Frame: 1 year
|
The investigators will use mean absolute error (MAE), R square to evaluate the performance.
|
1 year
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2020KYPJ018
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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