Reproductive History and Cardio-Metabolic Risk in the Postmenopausal Age
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it