[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"oncological-comorbidities-e-g-hypertension-diabetes-malnutrition\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:oncological-comorbidities-e-g-hypertension-diabetes-malnutrition":43},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":10,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":27,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":5},"100603454",false,"NCT07136727","AI-Assisted Comprehensive Management for Cancer Patients With Comorbidities (GCOG-CG001)","The Impact of Multimodal Digital Fusion AI-Assisted Decision Support System-Based Comprehensive Management on Clinical Outcomes in County-Level Patients With Comorbid Cancer:A Prospective Non-randomized Controlled Interventional Study.","GCOG-CG001","Inclusion Criteria:\n\n* Patients with a definite diagnosis of malignancy by histopathology and\u002For cytology;\n* Age ≥18 years;\n* There is no gender limit\n* Plan to receive antineoplastic therapy within 2 weeks or are receiving standard antineoplastic care (surgery, radiation, chemotherapy, or targeted therapy) ;\n* Conscious and able to answer questions and use electronic devices autonomously;\n* Patients were able to understand the study and voluntarily sign an informed consent form;\n\nExclusion Criteria:\n\n* Having severe mental or cognitive impairments that prevent them from understanding the content of the study or implementing the programme;\n* With severe heart disease, acute respiratory failure, liver kidney failure and other critical illness;\n* Women during pregnancy or lactation；\n* Have participated in other interventional studies in the past 1 month or are currently participating;\n* Patients with ECOG ≥ 3 that do not respond to treatment;\n* Patients with an expected survival of \\\u003C 3 months that do not respond to treatment;\n* Cases deemed unsuitable for enrollment by the investigator.","ALL","18 Years",{"count":19,"type":20},5000,"ESTIMATED","INTERVENTIONAL",[23],"NA","Combined with the digital whole process management data pool, a multi-modal data fusion framework is developed, and an AI model is established to realize risk stratification and personalized treatment Recommendation and dynamic prognosis prediction; validation of whole-process management based on multimodal digital fusion AI-aided decision support system through prospective non-randomized controlled interventional study The effect on survival, complication control and utilization of medical resources in patients with comorbid malignant tumors.",[26],"Oncological Comorbidities (e. g. Hypertension, Diabetes, Malnutrition)",[28,29,30],"Malignant neoplasm","Comorbidity","Artificial intelligence","NOT_YET_RECRUITING","2025-08-20",{"date":34,"type":35},"2025-08-22","ACTUAL",{"date":37,"type":20},"2025-08-15",{"date":39,"type":20},"2031-05-01",{"name":41,"class":42},"The First Affiliated Hospital of Xinxiang Medical College","OTHER",""]