Exemestane for Breast Cancer Risk Reduction
Bibliographic record
Abstract
SUMMARY Chemoprevention of estrogen receptor (ER)-positive invasive breast cancers is a feasible maneuver with the use of the selective ER modulators tamoxifen and raloxifene. However, their uptake as chemoprevention agents has remained low, mainly due to concerns about toxicity, and specifically the risk of thromboembolism and endometrial carcinomas. Aromatase inhibitors have not been associated with these potentially serious complications. Exemestane is a steroidal aromatase inhibitor recently studied in the randomized MAP.3 trial for breast cancer chemoprevention in a high-risk population. After 3 years of follow-up, the incidence of invasive breast cancer was reduced by 65% and the incidence of ER-positive invasive breast cancers by 73%. The risk of osteoporosis and cardiovascular events was not higher with exemestane. Longer follow-up is warranted, but exemestane can be considered an option for the chemoprevention of breast cancer in a high-risk postmenopausal female population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".