[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100587145":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":12,"locations":18,"responsibleParty":36,"collaborators":7,"id":38,"slug":7,"hasResults":39,"nctId":40,"briefTitle":41,"officialTitle":41,"acronym":42,"eligibilityCriteria":43,"healthyVolunteers":44,"sex":45,"minAge":7,"maxAge":7,"enrollmentInfo":46,"targetDuration":49,"studyType":50,"phases":7,"briefSummary":51,"conditions":52,"keywords":7,"overallStatus":21,"whyStopped":7,"lastUpdateSubmitDate":56,"lastUpdatePostDateStruct":57,"startDateStruct":60,"completionDateStruct":62,"leadSponsor":64,"locationsCount":65},{"fullName":5,"class":6},"RenJi Hospital","OTHER",null,[9],{"type":6,"name":10,"description":11,"armGroupLabels":7,"otherNames":7},"ECG screening","Each subject is subjected to ECG assessment.",[13],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":17},"Jun Pu, MD,PhD","CONTACT","86-21-68383477","pujun310@hotmail.com",[19],{"facility":20,"status":21,"city":22,"state":23,"zip":24,"country":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":32},"Ren Ji Hospital Afflited to School of Medicine, Shanghai Jiao Tong University","RECRUITING","Shanghai","Shanghai Municipality","200000","China",{"type":27,"coordinates":28},"Point",[29,30],121.45806,31.22222,{"lat":30,"lon":29},[33],{"name":34,"role":15,"phone":16,"phoneExt":7,"email":35},"Song ding, MD","dingsong1105@163.com",{"type":37,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100587145",false,"NCT06924580","Early ECG Prediction of Multi-system Disease Cohort Establishment and Follow Up","EARLY-ECG-PRED","Inclusion Criteria:\n\n1. Patients who visited the study hospital.\n2. Patients included should have both ECG data and discharge diagnosis codes (ICD-10) for inpatients and emergency patients.\n\nExclusion Criteria:\n\n1\\. Patients who declined participation, cases with incomplete or missing clinical data, and pregnant individuals.",true,"ALL",{"count":47,"type":48},500000,"ESTIMATED","10 Years","OBSERVATIONAL","This registered multicenter study aims to investigate the diagnostic efficacy of artificial intelligence-enhanced electrocardiography (AI-ECG) in detecting multi-system diseases. The research will utilize prospectively collected data from inpatient, emergency, and outpatient populations to develop ECG-based diagnostic, screening, and predictive models for multi-system diseases.",[53,54,55],"Public Health","Public Health System Research","Multi-system Disease Diagnosis","2025-04-06",{"date":58,"type":59},"2025-04-11","ACTUAL",{"date":61,"type":59},"2017-01-18",{"date":63,"type":48},"2026-12-30",{"name":5,"class":6},1]