Lung cancer, breast cancer, multiple myeloma
Conditions
Interventions
Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: Control Group:Distribute the "Breast Cancer Screening Guidelines" manual
Early Screening Behavior Promotion and Management System for High-Risk Breast Cancer Population: Intervention Group:Early Screening Behavior Promotion and Management System for High-Risk Groups of Bre
Multiple Myeloma Rehabilitation Management System: Intervention Group:Multiple myeloma Cancer Rehabilitation Management System
Multiple myeloma Rehabilitation Management System: Control Group:Routine rehabilitation care for multiple myeloma
Breast Cancer Rehabilitation Management System: Intervention Group:Breast Cancer rehabilitation Management system
Breast Cancer Rehabilitation Management System: Control Group:Routine rehabilitation care for breast cancer
Multiple Myeloma Risk Prediction and Management System: New Protocol Group:Use the multiple myeloma risk prediction and management system
Multiple myeloma Risk Prediction and Management System: Conventional Protocol Group:Use routine risk prediction management for multiple myeloma
Breast Cancer Risk Prediction and Management System: New Program Group:Use the breast cancer risk prediction and management system
Breast Cancer Risk Prediction and Management System: Conventional Protocol Group:Use routine risk prediction management for breast cancer
Lung Cancer Risk Prediction and Management System: New Solution Group:Use the lung cancer risk prediction and management system
Lung Cancer Risk Prediction and Management System: Conventional Protocol Group:Use routine risk prediction management for lung cancer
Early Screening Behavior Promotion and Management System for High-Risk Groups of Lung Cancer: New Program Group:Use the early Screening behavior pro
Sponsors
Affiliated Hospital of Xuzhou Medical University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Multiple Myeloma Diagnosis and Treatment Recommendation System: (I) NDMM Diagnostic Model (1) Newly diagnosed in accordance with the Chinese Guidelines for the Diagnosis and Treatment of Multiple Myeloma (2022 Revision); (2) Subsequent treatment of 4 or more consecutive cycles received at our hospital; (3) Follow-up data for the subsequent 12 months are available. (II) Application of the NDMM Diagnosis and Treatment Recommendation System (1) Physicians: Licensed hematologists (attending physician or higher); qualified in bone marrow pathology interpretation; completed systematic training (passed assessment). (2) Patients: NDMM patients meeting the criteria of the Chinese Guidelines for the Diagnosis and Treatment of Multiple Myeloma (2022 Revision). Multiple Myeloma Rehabilitation Management System: (1) Newly diagnosed multiple myeloma patients meeting the criteria of the Chinese Guidelines for the Diagnosis and Treatment of Multiple Myeloma (2022 Revision); (2) Age = 18 years; (3) Voluntary participation in the study and signed informed consent. Breast Cancer Diagnosis and Treatment Recommendation System: (I) Newly Diagnosed Breast Cancer Diagnostic Model (1) Newly diagnosed breast cancer patients: meeting the pathological diagnostic criteria of the Chinese Breast Cancer Diagnosis and Treatment Guidelines (Latest Edition); (2) Received a complete ultrasound examination at our hospital (including grayscale longitudinal and transverse sections of the lesion, color Doppler, elastography, axillary lymph nodes, etc.), with original images and corresponding structured descriptions obtainable; (3) Complete pathological data available (histological type, grade, immunohistochemistry ER/PR/HER2, Ki-67); (4) Complete records of 4 or more consecutive treatment cycles are obtainable; (5) Follow-up data for = 12 months are obtainable (outcomes such as recurrence, metastasis, death). (II) Application of the Breast Cancer Diagnosis and Treatment Recommendation System (1) Licensed physicians in Breast Surgery, General Surgery, Medical Oncology, and Imaging Department (attending physician or higher). ? Annual consultation or interpretation of = 50 breast cancer-related cases; ? Qualified in breast imaging or pathology interpretation; ? Commit to structured entry of initial diagnosis cases using the system. (2) Patients: Newly diagnosed breast cancer patients meeting the inclusion and exclusion criteria of the ND Breast Cancer Diagnostic Model. Breast Cancer Rehabilitation Management System: (1) Pathologically diagnosed with breast cancer and aware of the diagnosis; (2) Married female patients with children; (3) At least one parent (father or mother) is living; (4) Age < 40 years; (5) Have received one or more types of breast cancer treatment, such as surgery, chemotherapy, radiotherapy, hormone therapy, etc.; (6) Own an Android smartphone and be proficient in using it; (7) Volunteer to participate in this study and sign the informed consent form. Behavioral Promotion Management System for Early Screening in High-Risk Breast Cancer Populations: (1) High-risk breast cancer populations as defined in the Chinese Guidelines for Breast Cancer Screening in Women, including: carriers of breast cancer susceptibility genes, those with a first-degree relative (parents, children, siblings) family history of breast cancer, those with a personal history of breast cancer, those with a history of chest radiotherapy, and those diagnosed with lobular carcinoma in s
Exclusion criteria
Exclusion criteria: Multiple Myeloma Diagnosis and Treatment Recommendation System: (I) Multiple Myeloma Diagnostic Model: (1) Complex infections such as rheumatic immune system diseases, other active malignant tumors, and acquired immunodeficiency virus; (2) Expected survival < 12 months; (II) Application of the Multiple Myeloma Diagnosis and Treatment Recommendation System (1) Non-hematologists; (2) Participation in consultation only, not responsible for subsequent treatment; Multiple Myeloma Rehabilitation Management System: (1) Complicated by other active malignant tumors, severe cardiac or renal impairment, severe infections, etc.; (2) Presence of severe mental illness or cognitive impairment, rendering the patient unable to cooperate with symptom reporting; (3) Expected survival < 6 months; Breast Cancer Diagnosis and Treatment Recommendation System: (I) Newly Diagnosed Breast Cancer Diagnostic Model (1) Missing key imaging or pathological data required for the study's structured fields (e.g., ultrasound longitudinal/transverse sections, color Doppler, elastography, or pathological ER/PR/HER2/Ki-67 status); (2) Presence of definite acute mastitis, breast injury, or other acute inflammatory diseases that could clearly interfere with image interpretation within the recent period (6 weeks prior to enrollment); (3) Expected survival < 12 months or inability to complete follow-up/treatment due to severe comorbidities. (II) Application of the Breast Cancer Diagnosis and Treatment Recommendation System (1) Non-breast-specialist physicians; (2) Participation in consultation only, not responsible for subsequent treatment; Breast Cancer Rehabilitation Management System: (1) Breast cancer metastasis or recurrence, or presence of other malignant tumors; (2) Confusion or impaired cognitive ability; (3) History of mental illness; Behavioral Promotion Management System for Early Screening in High-Risk Breast Cancer Populations: (1) Confusion or impaired cognitive ability; (2) History of mental illness; Multiple Myeloma Risk Prediction and Management System: (1) Patients diagnosed with symptomatic active multiple myeloma; (2) Other types of plasma cell dyscrasias; (3) Suffering from severe mental illness; (4) Concurrent participation in other interventional clinical trials; Breast Cancer Risk Prediction and Management System: (1) History of breast cancer or mastectomy; (2) Pregnant or lactating women; (3) Suffering from severe mental illness; (4) History of thoracic radiotherapy; (5) Concurrent participation in other interventional clinical trials; Lung Cancer Risk Prediction and Management System: (1) Currently clinically diagnosed with lung cancer (including any pathological stage), or history of lung cancer (regardless of cure status); (2) Suffering from severe cardiovascular or cerebrovascular diseases (e.g., acute myocardial infarction, acute stage of cerebral hemorrhage), liver or kidney failure, mental disorders (e.g., schizophrenia, major depressive disorder) that prevent cooperation with data collection or follow-up; (3) Pregnant or lactating women, patients with cognitive impairment (e.g., Alzheimer's disease), or patients with other malignant tumors currently undergoing active treatment; (4) No fixed residential address, frequently changing contact information, or explicitly stating inability to cooperate with follow-up for =1 year; Behavioral Promotion Management System for Early Screening in High-Risk Lung Cancer Populations: (1) Classified as
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Multiple Myeloma Risk Prediction and Management System: System Prediction Performance;Breast Cancer Risk Prediction and Management System: System prediction performance;Lung Cancer Risk Prediction and Management System: System prediction performance;Early Screening Behavior Promotion Management System for High-Risk Groups of Lung Cancer: System Feasibility;Early Screening Behavior Promotion Management System for High-Risk Groups of Lung Cancer: Availability;Early Screening Behavior Promotion Management System for High-Risk Groups of Lung Cancer: Usage Situation;Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: System Feasibility;Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: Availability;Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: Usage Situation;Multiple Myeloma Diagnosis and Treatment Recommendation System: Diagnostic Accuracy Rate;Multiple Myeloma Diagnosis and Treatment Recommendation System: System Feasibility;Rehabilitation Management System for Multiple myeloma: System Feasibility;Breast Cancer Diagnosis and Treatment Recommendation System: Diagnostic accuracy rate;Through multi-dimensional analysis including technology, economy, operation, progress and clinical aspects;Breast cancer rehabilitation management system: Symptom relief rate;Breast Cancer Rehabilitation Management System: Self-efficacy;Construction and Application of a Four-level Digital Cancer Prevention Model Based on Virtual Tumor Hospital: Intervention Effects; | — |
Secondary
| Measure | Time frame |
|---|---|
| Early Screening Behavior Promotion and Management System for High-Risk Groups of Breast Cancer: Knowledge of Early Screening for Breast Cancer;Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: Health Belief in Early Breast Cancer Screening;Early Screening Behavior Promotion Management System for High-Risk Groups of Breast Cancer: Self-efficacy;Multiple myeloma Diagnosis and Treatment Recommendation System: Progression-free Survival (PFS);Rehabilitation Management System for Multiple myeloma: System Feasibility;Breast Cancer Diagnosis and Treatment Recommendation System: Progression-free Survival (PFS);Breast Cancer Rehabilitation Management System: System Usage Status;Construction and Application of a Four-level Digital Cancer Prevention Model Based on Virtual Tumor Hospitals: Coverage of Target Populations;Construction and Application of a Four-level Digital Cancer Prevention Model Based on Virtual Tumor Hospital: Adoption Status;Construction and Application of a Four-level Digital Cancer Prevention Model Based on Virtual Tumor Hospital: Implementation Status;Construction and Application of a Four-level Digital Cancer Prevention Model Based on Virtual Tumor Hospitals: Maintenance Status; | — |
Countries
China
Contacts
Public ContactFang Zhou
Xuzhou Medical University
Outcome results
None listed