[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100564762":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":30,"centralContacts":35,"locations":45,"responsibleParty":61,"collaborators":25,"id":64,"slug":65,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":69,"acronym":25,"eligibilityCriteria":70,"healthyVolunteers":71,"sex":72,"minAge":73,"maxAge":74,"enrollmentInfo":75,"targetDuration":25,"studyType":78,"phases":79,"briefSummary":81,"conditions":82,"keywords":86,"overallStatus":88,"whyStopped":25,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"Zhongshan Ophthalmic Center, Sun Yat-sen University","OTHER",[8,15],{"label":9,"type":10,"description":11,"interventionNames":12},"Experimental Arm","EXPERIMENTAL","At baseline and six months, feedback on ophthalmic examination results and future high myopia risk at 18 years of age using the myopia prediction system",[13,14],"Other: Feedback on Predicted High Myopia Risk at Age 18 Using the Myopia Prediction System","Other: Feedback on Ophthalmic Examinations",{"label":16,"type":17,"description":18,"interventionNames":19},"Control Arm","ACTIVE_COMPARATOR","At baseline and six months, feedback on ophthalmic examination results.",[14],[21,26],{"type":6,"name":22,"description":23,"armGroupLabels":24,"otherNames":25},"Feedback on Predicted High Myopia Risk at Age 18 Using the Myopia Prediction System","At baseline and six months, participants will be provided with the results of their predicted risk of high myopia at age 18 based on the myopia prediction system.",[9],null,{"type":6,"name":27,"description":28,"armGroupLabels":29,"otherNames":25},"Feedback on Ophthalmic Examinations","At baseline and six months, participants will be provided with the results of their ophthalmic examinations.",[16,9],[31],{"name":32,"affiliation":33,"role":34},"Haotian Lin, M.D., Ph.D","Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong","PRINCIPAL_INVESTIGATOR",[36,41],{"name":37,"role":38,"phone":39,"phoneExt":25,"email":40},"Yahan Yang, M.D., Ph.D","CONTACT","+86 15521013933","yah.yang39@qq.com",{"name":42,"role":38,"phone":43,"phoneExt":25,"email":44},"Xinwei Chen, M.D.","+86 13535382011","cxw20000709@163.com",[46],{"facility":5,"status":25,"city":47,"state":48,"zip":25,"country":49,"countryCode":50,"cosmosGeoPoint":51,"geoPoint":56,"contacts":57},"Guangzhou","Guangdong","China","CN",{"type":52,"coordinates":53},"Point",[54,55],113.25,23.11667,{"lat":55,"lon":54},[58],{"name":32,"role":38,"phone":59,"phoneExt":25,"email":60},"+86 13802793086","linht5@mail.sysu.edu",{"type":34,"investigatorFullName":62,"investigatorTitle":63,"investigatorAffiliation":5,"oldNameTitle":25,"oldOrganization":25},"Haotian Lin","Prof.","100564762","effect-of-a-myopia-prediction-system-on-myopia-prevention-and-control-100564762",false,"NCT06633393","Effect of a Myopia Prediction System on Myopia Prevention and Control","Impact of Feedback Based on the Myopia Prediction System on High Myopia Risk and Consultation Behavior in School-aged Children: a Cluster Randomized Controlled Trial","Inclusion Criteria:\n\n* The participant and their guardian voluntarily signed the informed consent form\n* Has the record of eye refraction examination in the past year\n* Aged 9 to 11 years, regardless of gender\n\nExclusion Criteria:\n\n* High myopia(spherical equivalent ≤ -6.00 D)\n* Ocular diseases other than myopia (e.g., strabismus, amblyopia, congenital cataract, juvenile glaucoma, retinal diseases).\n* Systemic diseases that may affect vision or visual development (e.g., diabetes or other endocrine disorders, cardiovascular or respiratory diseases, Down syndrome)",true,"ALL","9 Years","11 Years",{"count":76,"type":77},20000,"ESTIMATED","INTERVENTIONAL",[80],"NA","The global rise in myopia, particularly among children and adolescents in China, underscores the inadequacy of current prevention strategies, indicating that conventional screening and education alone are insufficient to curb the prevalence. Integrating personalized myopia prediction into routine care may enhance risk awareness, promote proactive prevention, and improve adherence to medical advice, ultimately reducing the future burden of high myopia.\n\nA myopia prediction system based on artificial intelligence was previously developed, accurately predicting future high myopia risk using efficient, robust, and easily accessible predictive factors, including age, spherical equivalent, and the annual progression of spherical equivalent. This study aims to conduct a prospective, one-year, cluster randomized controlled clinical trial to investigate the effectiveness of this prediction system in preventing and controlling myopia in school-aged children.",[83,84,85],"Myopia","Randomized Controlled Trials","Artificial Intelligence (AI)",[87,84,85],"Myopia Prediction","NOT_YET_RECRUITING","2024-10-09",{"date":91,"type":92},"2024-10-15","ACTUAL",{"date":94,"type":77},"2024-11-01",{"date":96,"type":77},"2026-02-28",{"name":5,"class":6},1]