Brain Metastasis from Breast Cancer: risk factors and radiotherapy perspective from a tertiary Middle Eastern facility.
Bibliographic record
Abstract
BACKGROUNDS: Breast cancer represents the second most frequent cause of brain metastases after lung cancer. Previous studies have identified the subgroups of patients with triple-negative and HER2-positive as having an increased risk for the development of brain metastases. We are not aware in Kurdistan - Iraq of any national studies that are in parallel with these findings. PATIENTS AND METHODS: A cross-sectional descriptive study conducted on 57 patients who were known cases of breast cancer with brain metastasis, managed with whole brain radiotherapy at a tertiary radiotherapy institute in two years (January 2015 to December 2016), as a convenient sample. Data were collected from patients' archives and phone calls and then analyzed using SPSS version 23. RESULTS: Younger age at diagnosis and cancers with HER2-positive receptor phenotype are risk factors for brain metastasis. Median survival post-brain metastasis is significantly affected by receptor phenotypes (2 months in triple negative versus 7 months in hormone receptor positive) and performance status (18 months if performance score of 70% and above versus 1.5 months if it is 60% and less). CONCLUSION: Primary breast cancer patients have more risk to develop brain metastases if they are at younger age and HER2-positive and the survival post-brain metastases is dramatically affected by both triple negative receptor phenotype and lower performance score.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".