Does family history predict the age at onset of new breast cancers in <i>BRCA1</i> and <i>BRCA2</i> mutation‐positive families?
Bibliographic record
Abstract
Women who carry BRCA mutations are advised to begin breast cancer screening based on the age-specific risks of breast cancer development. It is not clear to what extent the family history of breast cancer influences age of onset. We evaluated the use of family history to predict the age of breast cancer onset in BRCA mutation carriers. Pedigrees from an Ontario-based registry were reviewed to identify the index case of breast cancer (most recent diagnosis) and other family cases of breast cancer. The youngest age of breast cancer diagnosis and mean age at breast cancer diagnosis in the other family cases were compared to the age of onset in the index case. The 260 BRCA1 and 213 BRCA2 pedigrees were reviewed. In BRCA2 families, the index case was diagnosed on average at 44.4 years when the youngest reported family case was less than or equal to 35 years, compared to 51.9 years when the earliest cases were diagnosed after age 50 (p = 0.04). A modest trend was seen for BRCA1 carriers, but this was not statistically significant. To a small extent, the onset of breast cancer in a BRCA2 mutation carrier can be predicted from her family history of cancer, however, the trend is modest and should not alter clinical recommendations regarding initiation of screening.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".