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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04219228
Other study ID # 2019KYPJ171
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date December 14, 2019
Est. completion date February 2, 2023

Study information

Verified date March 2020
Source Sun Yat-sen University
Contact Yingfeng Zheng, M.D. Ph.D.
Phone +8613922286455
Email zhyfeng@mail.sysu.edu.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Myopia is a common cause of vision loss, being particularly prevalent in children in East and Southeast Asia. The investigators will assess prevalence and incidence of myopia, identify digital biomarkers associated with myopia, and validate algorithms for the detection and/or predition of myopia and other ocular abnormalities in school-aged children in both urban and rural settings in Southern China.


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.


Recruitment information / eligibility

Status Recruiting
Enrollment 4000
Est. completion date February 2, 2023
Est. primary completion date February 2, 2023
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 6 Years to 7 Years
Eligibility 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 Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
Ophthalmic examinations
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.
Device:
Wearable devices
Physical activity, light intensity, and visual information will be measured with wearable devices.

Locations

Country Name City State
China Zhognshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong
China Schools Zhaoqing Guangdong

Sponsors (1)

Lead Sponsor Collaborator
Sun Yat-sen University

Country where clinical trial is conducted

China, 

References & Publications (6)

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. — View Citation

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 An — View Citation

Morgan IG, Ohno-Matsui K, Saw SM. Myopia. Lancet. 2012 May 5;379(9827):1739-48. doi: 10.1016/S0140-6736(12)60272-4. Review. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Incident myopia 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 Prevalence of myopia Myopia is defined as any eye's SER (sphere + 1/2 cylinder) of at least -0.5 diopters (D). baseline
Secondary Change in axial length Axial length will be measured with a non-contact optical device. 1 year, 2 years, 3 years
Secondary Prevalence of amblyopia, strabismus and other ocular abnormalities 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
Secondary Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of incident myopia 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
Secondary Sensitivity and specificity of the deep learning algorithm for the prediction of incident myopia The investigators will estimate sensitivity and specificity of the deep learning algorithm for the prediction of incident myopia. 1 year
Secondary Area under the receiver operating characteristic curve of the deep learning algorithm for the prediction of fast progressing myope 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
Secondary Sensitivity and specificity of the deep learning algorithm for the prediction of fast progressing myope 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
Secondary Area under the receiver operating characteristic curve of the diagnostic algorithm in identifying abnormal vision screening result 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
Secondary Sensitivity and specificity of the diagnostic algorithm in identifying abnormal vision screening result 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
Secondary Post-vision screening referral uptake Any referral uptake will be confirmed by telephone follow-up. 3 months
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