- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04219228
Zhaoqing Myopia Study
A Prospective School-based Study of Myopia in Children in Southern China
Study Overview
Status
Conditions
Intervention / Treatment
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.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
Guangdong
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Guangzhou, Guangdong, China, 510000
- Recruiting
- Zhognshan Ophthalmic Center, Sun Yat-sen University
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Zhaoqing, Guangdong, China
- Recruiting
- Schools
-
Contact:
- Yingfeng Zheng
- Email: zhyfeng@mail.sysu.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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:
- No.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Students in urban counties
All first-grade students in urban counties will undergo anthropometry and ophthalmic examination, and be required to complete questionnaires and wear wearable devices to collect environmental information and daily activities.
|
Ophthalmic examinations include visual acuity, cover test and ocular dominance, noncycloplegic autorefraction, cycloplegia, ocular biometric measurements, cycloplegic auto-refraction, subjective refraction, and anterior and posterior segment examination.
Physical activity, light intensity, and visual information will be measured with wearable devices.
|
Students in rural counties
All first-grade students in rural counties will undergo anthropometry and ophthalmic examination, and be required to complete questionnaires and wear wearable devices to collect environmental information and daily activities.
|
Ophthalmic examinations include visual acuity, cover test and ocular dominance, noncycloplegic autorefraction, cycloplegia, ocular biometric measurements, cycloplegic auto-refraction, subjective refraction, and anterior and posterior segment examination.
Physical activity, light intensity, and visual information will be measured with wearable devices.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
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).
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Prevalence of myopia
Time Frame: baseline
|
Myopia is defined as any eye's SER (sphere + 1/2 cylinder) of at least -0.5 diopters (D).
|
baseline
|
Change in axial length
Time Frame: 1 year, 2 years, 3 years
|
Axial length will be measured with a non-contact optical device.
|
1 year, 2 years, 3 years
|
Prevalence of amblyopia, strabismus and other ocular abnormalities
Time Frame: baseline
|
Cover-uncover tests will be performed to detect strabismus.
Any ocular abnormalities, including corneal opacities, lens opacities, and retinal diseases will be recorded based on slit lamp, direct ophthalmoscopic and/or mobile phone video examination.
Participants with an uncorrected visual acuity 6/7.5 or worse with undergo subjective refraction to identify amblyopia.
|
baseline
|
Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of incident myopia
Time Frame: 1 year
|
The investigators will estimate the area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of incident myopia.
|
1 year
|
Sensitivity and specificity of the deep learning algorithm for the prediction of incident myopia
Time Frame: 1 year
|
The investigators will estimate sensitivity and specificity of the deep learning algorithm for the prediction of incident myopia.
|
1 year
|
Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of fast progressing myope
Time Frame: 1 year
|
The investigators will estimate the area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of fast progressing myope (a change in SER of 0.75D or more per year).
|
1 year
|
Sensitivity and specificity of the deep learning algorithm for the prediction of fast progressing myope
Time Frame: 1 year
|
The investigators will estimate the sensitivity and specificity of the deep learning algorithm for the prediction of fast progressing myope (a change in SER of 0.75D or more per year).
Cycloplegic spherical refraction changes measured by an auto-refractometer will be used as the indicator of myopia progression.
|
1 year
|
Area under the receiver operating characteristic curve of the diagnostic algorithm in identifying abnormal vision screening result
Time Frame: baseline
|
The investigators will estimate the area under the receiver operating characteristic curve of the diagnostic algorithm in identifying abnormal vision screening result (e.g., abnormal eye lid, abnormal cornea, and strabismus detected with mobile devices).
|
baseline
|
Sensitivity and specificity of the diagnostic algorithm in identifying abnormal vision screening result
Time Frame: baseline
|
The investigators will estimate the sensitivity and specificity of the diagnostic algorithm in identifying abnormal vision screening result (e.g., abnormal eye lid, abnormal cornea, and strabismus detected with mobile devices).
|
baseline
|
Post-vision screening referral uptake
Time Frame: 3 months
|
Any referral uptake will be confirmed by telephone follow-up.
|
3 months
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Morgan IG, Ohno-Matsui K, Saw SM. Myopia. Lancet. 2012 May 5;379(9827):1739-48. doi: 10.1016/S0140-6736(12)60272-4.
- Zadnik K, Mutti DO. Outdoor Activity Protects Against Childhood Myopia-Let the Sun Shine In. JAMA Pediatr. 2019 May 1;173(5):415-416. doi: 10.1001/jamapediatrics.2019.0278. No abstract available.
- Ojaimi E, Rose KA, Smith W, Morgan IG, Martin FJ, Mitchell P. Methods for a population-based study of myopia and other eye conditions in school children: the Sydney Myopia Study. Ophthalmic Epidemiol. 2005 Feb;12(1):59-69. doi: 10.1080/09286580490921296.
- Li SM, Liu LR, Li SY, Ji YZ, Fu J, Wang Y, Li H, Zhu BD, Yang Z, Li L, Chen W, Kang MT, Zhang FJ, Zhan SY, Wang NL, Mitchell P; Anyang Childhood Eye Study Group. Design, methodology and baseline data of a school-based cohort study in Central China: the Anyang Childhood Eye Study. Ophthalmic Epidemiol. 2013 Dec;20(6):348-59. doi: 10.3109/09286586.2013.842596. Epub 2013 Oct 25.
- He M, Zheng Y, Xiang F. Prevalence of myopia in urban and rural children in mainland China. Optom Vis Sci. 2009 Jan;86(1):40-4. doi: 10.1097/OPX.0b013e3181940719.
- Negrel AD, Maul E, Pokharel GP, Zhao J, Ellwein LB. Refractive Error Study in Children: sampling and measurement methods for a multi-country survey. Am J Ophthalmol. 2000 Apr;129(4):421-6. doi: 10.1016/s0002-9394(99)00455-9.
- Chen X, Ye G, Zhong Y, Jin L, Liang X, Zeng Y, Zheng Y, Lan M, Liu Y. Prevalence, incidence, and risk factors for myopia among urban and rural children in southern China: protocol for a school-based cohort study. BMJ Open. 2021 Nov 5;11(11):e049846. doi: 10.1136/bmjopen-2021-049846.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2019KYPJ171
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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