[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100519164":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":25,"responsibleParty":42,"collaborators":10,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":10,"eligibilityCriteria":50,"healthyVolunteers":46,"sex":51,"minAge":52,"maxAge":53,"enrollmentInfo":54,"targetDuration":10,"studyType":57,"phases":10,"briefSummary":58,"conditions":59,"keywords":10,"overallStatus":61,"whyStopped":10,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":71},{"fullName":5,"class":6},"Fujian Cancer Hospital","OTHER_GOV",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"cervical cancer treated with surgery",null,"The inclusion criteria were: (1) pathologically confirmed CC; (2) FIGO stage IB-IIA according to the result of physical examination and imaging; (3) abdominal MRI was performed within three weeks before surgery. Exclusion criteria were: (1) accompanied with other tumors. (2) with chronic infectious disease. (3) incomplete clinical data.",[13],"Other: no intervention",[15],{"type":16,"name":17,"description":17,"armGroupLabels":18,"otherNames":10},"OTHER","no intervention",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"Yang Sun, PHD","CONTACT","+8615959028989","sunyang@fjzlhospital.com",[26],{"facility":5,"status":10,"city":27,"state":28,"zip":29,"country":30,"countryCode":31,"cosmosGeoPoint":32,"geoPoint":37,"contacts":38},"Fuzhou","Fujian","350014","China","CN",{"type":33,"coordinates":34},"Point",[35,36],119.30611,26.06139,{"lat":36,"lon":35},[39],{"name":40,"role":22,"phone":41,"phoneExt":10,"email":24},"Yang Sun","15959028989",{"type":43,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100519164","a-diagnostic-nomogram-for-predicting-vaginal-invasion-in-cervical-cancer-100519164",false,"NCT06039982","A Diagnostic Nomogram for Predicting Vaginal Invasion in Cervical Cancer","Establish a New Noninvasive Diagnostic Model Based on Clinical Indicators to Evaluate the Vaginal Invasion in Cervical Cancer Patients","Inclusion Criteria:\n\n* Pathologically confirmed cervical cancer;\n* FIGO2018 stage IB-IIA according to the result of physical examination and images;\n* No preoperative treatment before surgery;\n* Abdominal MRI is performed within three weeks before surgery. Blood routine, biochemistry, blood tumor markers and coagulation function were examined within 1 week before surgery.\n* All patients undergo radical hysterectomy (RH) with bilateral pelvic lymphadenectomy or paraaortic lymph node dissection.\n\nExclusion Criteria:\n\n* Accompanied with other tumors;\n* Accompanied with chronic infectious and immune diseases;\n* Incomplete clinical data.","FEMALE","18 Years","80 Years",{"count":55,"type":56},100,"ESTIMATED","OBSERVATIONAL","This study aims to develop a diagnostic nomogram based on clinical factors with the prediction values of vaginal invasion in cervical cancer to optimize the treatment plan and surgical procedures.",[60],"Cervix Carcinoma","NOT_YET_RECRUITING","2023-09-23",{"date":64,"type":65},"2023-09-26","ACTUAL",{"date":67,"type":56},"2023-11-01",{"date":69,"type":56},"2026-11-01",{"name":5,"class":6},1]