[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"early-diagnosis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:early-diagnosis":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,54],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":33,"overallStatus":41,"whyStopped":4,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":53},"100231289","doveegenewise-genomics-diagnosing-ovarian-and-endometrial-cancer-early-using-genomics-100231289",false,"NCT02288676","DOvEEgene\u002FWISE Genomics: Diagnosing Ovarian and Endometrial Cancer Early Using Genomics","DOvEEgene","Case Inclusion:\n\n* Subjects should have suspected or confirmed cancer of the upper genital tract.\n* Participant will undergo surgery for tumour removal.\n\nControl inclusion:\n\n• Subjects should be scheduled to have a hysterectomy, bilateral salpingectomy, with or without bilateral oophorectomy, for presumed benign disease.","FEMALE","18 Years",{"count":19,"type":20},1200,"ESTIMATED","OBSERVATIONAL","This study aims to develop and validate a test for detecting ovarian and endometrial cancers early. It relies on detecting somatic mutations that are associated with these cancers from a uterine pap test. A saliva sample is also collected that acts as an internal control and has the ability to detect deleterious germline mutations associated with common hereditary cancers (such as breast, ovarian, endometrial, colon, and pancreatic cancers). A machine learning classifier is then used to discriminate between cancer and benign disease.",[24,25,26,27,28,29,30,31,32],"Ovarian Neoplasms","Endometrial Neoplasms","Endometrial Cancer","Ovarian Cancer","Screening","Safety","Reduced Mortality","Reduced Morbidity","Early Diagnosis",[34,35,36,37,38,39,40],"genomics","somatic mutations","genetic mutations","high-grade serous cancer","ovarian cancer","endometrial cancer","DNA tagging","RECRUITING","2025-06-13",{"date":44,"type":45},"2025-06-18","ACTUAL",{"date":47,"type":45},"2014-01",{"date":49,"type":20},"2026-10",{"name":51,"class":52},"McGill University","OTHER",1,{"id":55,"slug":56,"hasResults":11,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":4,"eligibilityCriteria":59,"healthyVolunteers":11,"sex":60,"minAge":61,"maxAge":62,"enrollmentInfo":63,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":65,"conditions":66,"keywords":4,"overallStatus":70,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":4},"100437450","establishment-and-clinical-validation-of-a-new-technique-for-early-diagnosis-of-diabetic-nephropathy-100437450","NCT04976426","Establishment and Clinical Validation of a New Technique for Early Diagnosis of Diabetic Nephropathy","Inclusion Criteria:\n\n* Subjects who have signed informed consent.\n* Subjects who were diagnosed with diabetes at least 5 years.\n* Subjects showed good compliance, and the follow-up data was available for \\>5 years.\n\nExclusion Criteria:\n\n* Renal diseases caused by other causes, including primary and secondary;\n* All kinds of acute infections;\n* The expected life expectancy (life expectancy or related diseases) was less than 5 years according to the researcher's judgment.\n* Drug users or drug abusers;\n* Sexually transmitted diseases such as viral hepatitis, AIDS and syphilis, and infectious diseases such as tuberculosis are in an active period;\n* Any situation judged by the researcher that affects enrollment.","ALL","20 Years","80 Years",{"count":64,"type":20},1000,"Diabetic kidney disease(DKD) is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early diagnosis of DKD. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) to estimating early diabetic nephropathy, and further validating the performance of the novel systemin in prediction of the risk for early diabetic nephropathy by a nested case-control study.",[67,68,69,32],"Diabetes Mellitus","Biomarkers","Diabetic Kidney Disease","NOT_YET_RECRUITING","2021-07-14",{"date":73,"type":45},"2021-07-26",{"date":75,"type":20},"2022-01-01",{"date":77,"type":20},"2026-12-31",{"name":79,"class":52},"Second Affiliated Hospital, School of Medicine, Zhejiang University"]