[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Markusovszky University Teaching Hospital os County Vas\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":41},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":26,"overallStatus":30,"whyStopped":4,"lastUpdateSubmitDate":31,"lastUpdatePostDateStruct":32,"startDateStruct":35,"completionDateStruct":36,"leadSponsor":38,"locationsCount":5},"100650844","diagnostic-prediction-model-for-de-novo-metastatic-breast-cancer-100650844",false,"NCT07752238","Diagnostic Prediction Model for De Novo Metastatic Breast Cancer","Development of a Diagnostic Prediction Model for de Novo Metastatic Breast Cancer Using Routinely Available Baseline Parameters","Inclusion Criteria:\n\n* Female sex, aged 18 years or older.\n* Newly diagnosed invasive breast cancer.\n* Case reviewed by the Multidisciplinary Tumour Board at the study site during the inclusion period (between October 1, 2018, and July 31, 2025).\n* No history of prior or synchronous invasive malignancies, except for synchronous bilateral breast cancer.\n* Intent for primary treatment and clinical management at the study site.\n* Availability of longitudinal clinical records throughout the 12-month follow-up period or until death.\n\nExclusion Criteria:\n\n-Absence of baseline systemic staging.","FEMALE","18 Years",{"count":19,"type":20},925,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to create a tool to estimate the risk of macroscopic distant tumor spread in women with newly diagnosed breast cancer. The main question it aims to answer is:\n\n• Can a model, which combines routine medical information collected at diagnosis, accurately predict if a patient has metastasis large enough to be found during systemic imaging? Researchers will review the past medical records of participants who were treated at a university hospital. Because this study looks at past data, participants will not be asked to do any new tasks, take new tests, or change their medical care.",[24,25],"Breast Cancer","Metastatic Invasive Breast Cancer",[27,28,29],"de novo metastasis","breast cancer","predictive modelling","RECRUITING","2026-08-10",{"date":33,"type":34},"2026-08-12","ACTUAL",{"date":31,"type":34},{"date":37,"type":20},"2027-02-28",{"name":39,"class":40},"Markusovszky University Teaching Hospital os County Vas","OTHER",""]