[{"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":27},{"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":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":28,"overallStatus":32,"whyStopped":4,"lastUpdateSubmitDate":33,"lastUpdatePostDateStruct":34,"startDateStruct":37,"completionDateStruct":39,"leadSponsor":41,"locationsCount":5},"100603454","ai-assisted-comprehensive-management-for-cancer-patients-with-comorbidities-gcog-cg001-100603454",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":20,"type":21},5000,"ESTIMATED","INTERVENTIONAL",[24],"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.",[27],"Oncological Comorbidities (e. g. Hypertension, Diabetes, Malnutrition)",[29,30,31],"Malignant neoplasm","Comorbidity","Artificial intelligence","NOT_YET_RECRUITING","2025-08-20",{"date":35,"type":36},"2025-08-22","ACTUAL",{"date":38,"type":21},"2025-08-15",{"date":40,"type":21},"2031-05-01",{"name":42,"class":43},"The First Affiliated Hospital of Xinxiang Medical College","OTHER"]