[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100594445":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":7,"responsibleParty":14,"collaborators":7,"id":18,"slug":19,"hasResults":20,"nctId":21,"briefTitle":22,"officialTitle":23,"acronym":24,"eligibilityCriteria":25,"healthyVolunteers":20,"sex":26,"minAge":27,"maxAge":7,"enrollmentInfo":28,"targetDuration":31,"studyType":32,"phases":7,"briefSummary":33,"conditions":34,"keywords":37,"overallStatus":44,"whyStopped":7,"lastUpdateSubmitDate":45,"lastUpdatePostDateStruct":46,"startDateStruct":49,"completionDateStruct":51,"leadSponsor":53,"locationsCount":7},{"fullName":5,"class":6},"Gumushane State Hospital","OTHER_GOV",null,[9],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Kayahan Eyüboğlu, MD","CONTACT","+905546813327","kayahaneyuboglu@gmail.com",{"type":15,"investigatorFullName":16,"investigatorTitle":17,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Kayahan Eyüboğlu","General Surgery Specialist","100594445","machine-learning-based-risk-stratification-for-fistula-formation-after-perianal-abscess-drainage-100594445",false,"NCT07019532","Machine Learning-Based Risk Stratification for Fistula Formation After Perianal Abscess Drainage","A Prospective Cohort Study for Machine Learning-Based Prediction of Anal Fistula Formation After Perianal Abscess Drainage Based on Drainage Setting, Provider Experience, and MRI Interpretation (PRISM)","PRISM","Inclusion Criteria:\n\n* Age ≥ 18\n* First-time perianal abscess\n* Surgical drainage performed\n\nExclusion Criteria:\n\n* Existing anal fistula history\n* Crohn's disease\n* Immunosuppressive treatment\n* Incomplete 6-month follow-up","ALL","18 Years",{"count":29,"type":30},450,"ESTIMATED","6 Months","OBSERVATIONAL","This prospective cohort study investigates the influence of provider experience and drainage location on fistula formation within 6 months following perianal abscess drainage. Additionally, the study explores the role of artificial intelligence (AI)-based interpretation of magnetic resonance (MR) images in early identification of fistula development.",[35,36],"Perianal Abscess","Anal Fistula",[38,39,40,41,42,43],"Artificial Intelligence","MR Imaging","Colorectal Surgery","Surgical Outcomes","Drainage","Fistula Prediction","NOT_YET_RECRUITING","2025-06-05",{"date":47,"type":48},"2025-06-13","ACTUAL",{"date":50,"type":30},"2025-07-01",{"date":52,"type":30},"2026-06-01",{"name":5,"class":6}]