[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100592048":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":16,"centralContacts":21,"locations":31,"responsibleParty":62,"collaborators":7,"id":64,"slug":65,"hasResults":66,"nctId":67,"briefTitle":68,"officialTitle":69,"acronym":70,"eligibilityCriteria":71,"healthyVolunteers":66,"sex":72,"minAge":73,"maxAge":74,"enrollmentInfo":75,"targetDuration":7,"studyType":78,"phases":7,"briefSummary":79,"conditions":80,"keywords":82,"overallStatus":84,"whyStopped":7,"lastUpdateSubmitDate":85,"lastUpdatePostDateStruct":86,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":94},{"fullName":5,"class":6},"University Hospital, Rouen","OTHER",null,[9,13],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DIAGNOSTIC_TEST","Group of children identified by the algorithm as having asthma","150 medical files of children identified by the algorithm as having asthma will be randomly selected for expert appraisal.",{"type":10,"name":14,"description":15,"armGroupLabels":7,"otherNames":7},"Group of children not identified by the algorithm as having asthma","150 medical files of children not identified by the algorithm as having asthma will be randomly selected for expert appraisal.",[17],{"name":18,"affiliation":19,"role":20},"Charlotte CS SIEGFRIDT, Doctor","Maison de santé pluriprofessionnelle de Romilly sur Andelle","STUDY_DIRECTOR",[22,28],{"name":23,"role":24,"phone":25,"phoneExt":26,"email":27},"David DM MALLET, Director","CONTACT","02 32 88 82 65","+33","david.mallet@chu-rouen.fr",{"name":29,"role":24,"phone":25,"phoneExt":26,"email":30},"Vincent VF FERRANTI, ARC","vincent.ferranti@chu-rouen.fr",[32,44,53],{"facility":33,"status":7,"city":34,"state":7,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":7},"Maison de Santé Amstrong","Le Grand-Quevilly","76120","France","FR",{"type":39,"coordinates":40},"Point",[41,42],1.04582,49.40076,{"lat":42,"lon":41},{"facility":45,"status":7,"city":46,"state":7,"zip":47,"country":36,"countryCode":37,"cosmosGeoPoint":48,"geoPoint":52,"contacts":7},"Maison de Santé des Carmes","Rouen","76000",{"type":39,"coordinates":49},[50,51],1.09932,49.44313,{"lat":51,"lon":50},{"facility":54,"status":7,"city":55,"state":7,"zip":56,"country":36,"countryCode":37,"cosmosGeoPoint":57,"geoPoint":61,"contacts":7},"Maison de Santé de la Plaine","Val-de-Reuil","27690",{"type":39,"coordinates":58},[59,60],1.21021,49.27385,{"lat":60,"lon":59},{"type":63,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR","100592048","early-identification-of-children-with-asthma-100592048",false,"NCT06988358","Early Identification of Children With Asthma","Early Identification of Children With Asthma in Electronic Medical Records in Primary Care","IDEA","Inclusion Criteria:\n\n* Children aged 2 years 0 days to 5 years 11 months and 30 days inclusive\n* Consultation in one of the 4 Maisons de Santé Pluriprofessionnelle connected to the PRIMEGE Normandie primary care data warehouse: Neufchâtel-en-Bray, Val-de-Reuil, Le Grand-Quevilly and Rouen Carmes.\n* At least two consultations between the ages of 2 and 5, with a general practitioner in the same care setting\n* Parents having been informed of the use of data from electronic medical records and having expressed no objection to the use of this data\n\nExclusion Criteria:\n\n* Children under 2 years of age\n* Children aged 6 years 0 days and over\n* Recourse by a patient's legal representative to one of the RGPD rights restricting the use of their data in the context of research","ALL","24 Months","71 Months",{"count":76,"type":77},300,"ESTIMATED","OBSERVATIONAL","GPs are one of the key players in the early diagnosis of chronic diseases, such as asthma in pre-school children, by detecting symptoms of illness as early as possible. Patient health data is collected on an ongoing basis in GPs' electronic medical records, but remains little exploited despite its potential.\n\nHelping GPs to identify asthma in pre-school children, based on the information in their electronic medical records, could help them to diagnose the condition early and thereby reduce the morbidity and mortality associated with it.\n\nAn algorithm developed and evaluated in a primary care data warehouse should help GPs to identify children with a diagnosis of asthma at an early stage.",[81],"Asthma in Children",[83],"Predictive algorithm","NOT_YET_RECRUITING","2025-09-26",{"date":87,"type":88},"2025-10-02","ACTUAL",{"date":90,"type":77},"2025-12-30",{"date":92,"type":77},"2027-06-30",{"name":5,"class":6},3]