Severe maternal morbidity and risk of cardiovascular disease: Recent advances
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
Pregnancy complications including severe maternal morbidity have been linked with an increased risk of cardiovascular disease, and provide opportunities to identify women who would benefit from prevention. Severe maternal morbidity comprises life-endangering complications around the time of pregnancy and delivery. Literature on the relationship between severe maternal morbidity and cardiovascular disease is increasing at a rapid pace. Studies have shown that severe preeclampsia or eclampsia and severe hemorrhage are associated with cardiovascular disease later in life. Proposed pathways include endothelial damage, hypercoagulability, and impaired cardiac function that are induced or exacerbated by severe pregnancy complications that elevate cardiovascular risks. However, less is known about other types of severe maternal morbidity that may influence the risk of cardiovascular disease. Other research gaps include a need to better understand the pathways and mechanisms linking severe maternal morbidity with cardiovascular disease, the potential for cardiovascular recovery after severe cardiovascular events during pregnancy, and disparities in the occurrence of cardiovascular disease after severe maternal morbidity.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it