Long-term cardiovascular disease after pre-eclampsia: time to move from epidemiology to action
Bibliographic record
Abstract
This editorial refers to 'Update on long-term c a rdiovascular risk after pre-eclampsia: a systematic review and met a-a na lysis', by Annalisa Inversetti et al .(see page 4).Pre-eclampsia is a complex multi-system disease of pregnancy characterized by placental dysfunction and angiogenic imbalance, which cause maternal vascular endothelial injury, hypertension, and end-organ damage.An estimated 4 million women are diagnosed with pre-eclampsia each year, with this condition causing the deaths of > 70 000 women and 500 000 babies worldwide. 1Additionally, pre-eclampsia has a very high burden of short-term maternal and neonatal morbidity.Our understanding of the association between pre-eclampsia and long-term cardiovascular disease has evolved rapidly in the last few decades, alongside the accumulating evidence that cardiovascular disease is the leading cause of death in women worldwide. 2The strong association between pre-eclampsia, cardiomet abolic risk factors , and the future risk of developing cardiovascular disease is now well recognized. 3 , 4 There is even some evidence that the link between pre-eclampsia and premature cardiovascular disease may be independent of other concomitant cardiovascular risk factors. 5n this issue of EHJ-QCCO, Inversetti et al. present an updated systematic review and meta-analysis of long-term cardiovascular disease risk following pregnancies complicated by pre-eclampsia.[Inversetti et al.Update on long-term cardiovascular risk after preeclampsia: a systematic review and meta-analysis.Eur Heart J ; doi: 10.1093/ehjqcco/qcad065, published online ahead of print
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".