Status:
NOT_YET_RECRUITING
A Study for Dynamic Prediction Model of Breast Cancer Bone Metastases
Lead Sponsor:
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Conditions:
Breast Cancer
Bone Metastases
Eligibility:
FEMALE
20-70 years
Brief Summary
The purpose of this study is to identify the risk factors of bone metastasis in breast cancer patients so as to develop a dynamic prediction model using real world clinical data. The multicenter data ...
Detailed Description
Breast cancer is the most common malignant tumor in women worldwide and bones are the most common sites of metastases in breast cancer patients(\~70%). Bone metastasis often leads to skeletal-related ...
Eligibility Criteria
Inclusion
- Patients diagnosed with breast cancer by histopathology;
- Age between 20 and 70 years old;
- The first diagnosis time is between 2010 and 2020;
- Complete diagnosis and treatment information, including basic information, breast cancer diagnosis, surgery, recurrence diagnosis data (including the diagnosis of the metastasis sites), anti-tumor treatment data, bone health and bone metastasis-related diagnosis and treatment data, etc.;
- Sufficient available follow-up information.
Exclusion
- Missing important basic information (including initial and recurrent pathology, stage, pathological grade and time, surgery time, and drug treatment);
- With distant metastasis at the initial diagnosis;
- Patients with autoimmune diseases or aggressive viral infections (such as HIV or hepatitis);
- Other malignant tumors;
- Unclear information about distant metastasis.
Key Trial Info
Start Date :
August 6 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
January 20 2025
Estimated Enrollment :
3500 Patients enrolled
Trial Details
Trial ID
NCT06544668
Start Date
August 6 2024
End Date
January 20 2025
Last Update
August 9 2024
Active Locations (1)
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1
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Beijing, Beijing Municipality, China, 100021