[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100587145":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":12,"locations":18,"responsibleParty":37,"collaborators":7,"id":39,"slug":7,"hasResults":40,"nctId":41,"briefTitle":42,"officialTitle":42,"acronym":43,"eligibilityCriteria":44,"healthyVolunteers":45,"sex":46,"minAge":7,"maxAge":7,"enrollmentInfo":47,"targetDuration":50,"studyType":51,"phases":7,"briefSummary":52,"conditions":53,"keywords":7,"overallStatus":21,"whyStopped":7,"lastUpdateSubmitDate":57,"lastUpdatePostDateStruct":58,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":66},{"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,"countryCode":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"Ren Ji Hospital Afflited to School of Medicine, Shanghai Jiao Tong University","RECRUITING","Shanghai","Shanghai Municipality","200000","China","CN",{"type":28,"coordinates":29},"Point",[30,31],121.45806,31.22222,{"lat":31,"lon":30},[34],{"name":35,"role":15,"phone":16,"phoneExt":7,"email":36},"Song ding, MD","dingsong1105@163.com",{"type":38,"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":48,"type":49},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.",[54,55,56],"Public Health","Public Health System Research","Multi-system Disease Diagnosis","2025-04-06",{"date":59,"type":60},"2025-04-11","ACTUAL",{"date":62,"type":60},"2017-01-18",{"date":64,"type":49},"2026-12-30",{"name":5,"class":6},1]