Validity of Brain Metastasis Risk Predictive Model in Hormone Positive Breast Cancer Patients
- Conditions
- Breast Cancer, Estrogen Receptor-Positive
- Registration Number
- NCT06729099
- Lead Sponsor
- Assiut University
- Brief Summary
This study aims to validate a prediction model of brain metastasis risk for females with HR+ breast cancer by using variables collected at diagnosis.
- Detailed Description
1. Data collection:
Age at BC diagnosis, tumor size, axillary adenopathy, clinical stage, HER2 status, Ki67 proliferation index and the modified Scarff-Bloom-Richardson grade of differentiation.
2. Analysis Plan:
Continuous variables as means and standard deviation (SD) if they follow a normal distribution; if not, as medians and IQR (interquartile range). Numbers and percentages display categorical variables.
3. Model validation:
The association between covariates and the diagnosis of brain metastases by performing logistic regression analyses; odds ratio (OR), 95 % confidence intervals (CI), and p-value will be estimated. Variables with a p-value \< 0.05 in the univariate logistic regression analysis will be further assessed in a multivariate logistic regression analysis.
For the clinical use of the model, we will use a score to each variable as that designed by Cacho-Díaz B. et. al. then, we will categorize patients into three risk groups according to the sum of the scores. We will employe a Cox regression analysis to assess each group's risk of developing brain metastases. Adjusted hazard ratios (aHRs), 95 % CIs, and p values will be evaluated.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- Female
- Target Recruitment
- 128
- Confirmed diagnosis of HR-positive primary invasive breast cancer.
- Patients if they were diagnosed with brain metastases at the time of initial breast cancer diagnosis or within the subsequent three months.
- Bilateral breast cancer.
- Synchronic cancer (i.e., lung cancer, melanoma).
- Paitents presenting neurologic symptoms without follow-up or lacking a contrast-enhanced magnetic resonance image (cMRI).
- Incomplete clinicopathological information at the time of diagnosis.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Validity of prediction model of brain metastases risk for females with HR+ breast cancer 2 years A Cox regression analysis to assess each group's risk of developing brain metastases. Adjusted hazard ratios (aHRs), 95 % CIs, and p values will be evaluated.
- Secondary Outcome Measures
Name Time Method
Related Research Topics
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