Hormonal factors predictive of fertility in patients with breast cancer interrupting adjuvant endocrine therapy to attempt pregnancy in POSITIVE trial
Bibliographic record
Abstract
PURPOSE: The POSITIVE trial showed that premenopausal women with breast cancer (BC) can safely pause adjuvant endocrine treatment (ET) to attempt conception. 74 % of patients conceived spontaneously or through assisted reproductive technology (ART); Investigating hormonal factors that predict fertility was a key secondary endpoint. METHODS: Hormonal factors were assessed in non-pregnant women at months 3, 6, and 12 after ET interruption. The frequency of low ovarian reserve, defined as anti-Mullerian hormone (AMH) < 0.5 ng/mL at month 3, and of premature ovarian insufficiency (POI), defined as follicle stimulating hormone (FSH) > 25 IU/L at month 12, were primary measures. Secondary analyses to predict pregnancy included AMH, FSH, thyroid stimulating hormone (TSH), prolactin and ovulatory status (defined as progesterone >3 ng/mL at month 6), considering covariates such as age, treatment, and ART use. RESULTS: Of 518 women enrolled in POSITIVE, 438 were eligible for low ovarian reserve analysis. Low ovarian reserve was observed in 209 women (47.7 %), more frequently among older women and those with prior chemotherapy, but not in relation to ET type or duration. Overall, low ovarian reserve was associated with reduced odds of pregnancy (OR:0.52; 95 % CI:0.31-0.87). Of 142 patients evaluated for POI, 16.7 % of those who received prior chemotherapy experienced POI. FSH at month 3 was associated with POI, but only modestly with spontaneous pregnancy (OR:0.96; 95 %CI: 0.93-1.00); other factors were not predictive of pregnancy. CONCLUSION: Hormonal factors are associated with pregnancy in BC patients pausing adjuvant ET to conceive, and their assessment may help to optimize fertility counseling. TRIAL REGISTRATION: ClinicalTrials.gov number NCT02308085.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".