Do<i>BRCA1</i>and<i>BRCA2</i>Mutation Carriers Have Earlier Natural Menopause Than Their Noncarrier Relatives? Results From the Kathleen Cuningham Foundation Consortium for Research Into Familial Breast Cancer
Bibliographic record
Abstract
PURPOSE: Limited data suggest that germline BRCA1 mutations are associated with occult primary ovarian insufficiency and that BRCA1 and BRCA2 mutation carriers might have earlier natural menopause (NM) than their noncarrier relatives. PATIENTS AND METHODS: Eligible women were mutation carriers and noncarriers from families segregating a BRCA1 or BRCA2 mutation. Data were self-reported using uniform questionnaires at cohort entry and every 3 years thereafter. NM was defined as the cessation of menses for 12 months without another cause. Cox proportional hazards analysis modeled time from birth to NM, adjusting for multiple potential confounders. Analysis time was censored at the earliest of the following: last follow-up, bilateral oophorectomy, hysterectomy, commencement of hormone therapy, insertion of intrauterine device, or any cancer diagnosis. Hazard ratios (HRs) were estimated as a measure of how likely mutation carriers are, relative to noncarriers, to reach NM at a given age. RESULTS: A total of 1,840 women were eligible for analysis. Overall only 19% reached NM. A lower proportion of BRCA1 and BRCA2 mutation carriers reached NM compared with noncarriers. Conversely, a higher proportion of mutation carriers were censored at cancer diagnosis or oophorectomy than noncarriers. The adjusted HR estimates for NM were 1.03 (95% CI, 0.75 to 1.40; P = .9) for 445 BRCA1 mutation carriers and 559 noncarrier relatives and 1.01 (95% CI, 0.71 to 1.42; P = .9) for 374 BRCA2 mutation carriers and 462 noncarrier relatives. CONCLUSION: We found no evidence that BRCA1 and BRCA2 mutation carriers are at higher risk of NM at a given age than their noncarrier relatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".