Reproductive History and Cardio-Metabolic Risk in the Postmenopausal Age
Bibliographic record
Abstract
Menopause represents a cardio-metabolic transition, but cardiovascular (CV) health in women is highly influenced by other reproductive milestones and conditions, which delineate a cardio-reproductive lifeline. Reproductive history represents an opportunity to identify women at elevated risk of CV events after menopause, going beyond traditional CV risk factors. This review aims to summarize the impact of reproductive milestones, gynecological conditions, and pregnancy-related factors on cardio-metabolic health at midlife. The main physio-pathological mechanisms likely implicated in linking reproductive events and CV disease risk are described, as well as the impact of specific conditions (early/late menarche and menstrual dysfunction [functional hypothalamic amenorrhea, polycystic ovary syndrome, benign gynecological conditions (endometriosis, adenomyosis, and fibroids), infertility, adverse pregnancy outcomes, and premature/early natural or surgical menopause]). Data indicate that a reproductive checklist in midlife women is warranted for primary prevention and intervention.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".