A Population Description of Young Women with Breast Cancer in Newfoundland and Labrador
Bibliographic record
Abstract
It has been well established in the literature that young women tend to carry more aggressive subtypes of breast cancer than their older-aged counterparts. The objective of this study was to describe the characteristics and outcomes of young women with breast cancer. In this retrospective analysis, data were collected for women under the age of 40 years who were diagnosed with breast cancer between 2008 and 2018 in the province of Newfoundland and Labrador. Specifically, data were collected on demographics, staging, pathological characteristics, treatment, and survival outcomes for young women with this disease. Results demonstrate that most of these women were diagnosed between the age of 35 and 39 years (91.2%). Most women presented with early-stage disease (stage I and II-66.4%), while 24% were stage III and 9.6% presented with stage IV metastatic disease. The prevalence of hormone-receptor-positive disease represented 41.9% of the cohort, with triple-negative and HER2+ measuring 27.7% and 30.4%, respectively. Five-year disease-free survival was 80.5% and overall survival was 82.7%. These findings provoke discussion regarding the intersecting roles of genetics, environment, and lifestyle in a region with some of the highest rates of malignancy in the country.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".