Thromboelastographic analysis of haemostasis in preeclamptic and normotensive pregnant women
Bibliographic record
Abstract
: Pregnancy is a state of heightened coagulation, exacerbated in pathological conditions such as preeclampsia. We evaluated the role of thromboelastography (TEG), compared with standard haemostasis tests, in identifying in haemostatic alterations in normotensive pregnancies and pregnancies complicated with preeclampsia. Standard haemostasis tests and TEG were performed on 28 normotensive women and 31 with preeclampsia at delivery, 6 weeks and 6 months postpartum. Results were compared between patient groups, and at different collection times. Standard haemostasis tests failed to reveal consistent differences in haemostatic function between subject groups, mirroring the inconsistency described in the literature. TEG revealed increased coagulability in preeclampsia subjects compared with normotensive subjects at delivery. Haemostatic alterations were normalized by 6 weeks postpartum and remained stable at 6 months postpartum. TEG is superior to standard laboratory haemostatic tests in evaluating antenatal and postpartum haemostatic alterations associated with pregnancy complications such as preeclampsia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".