Evaluating the hemostatic effects of tranexamic acid in women with pre‐eclampsia
Bibliographic record
Abstract
OBJECTIVE: To evaluate the hemostatic effects of tranexamic acid (TXA) ex vivo in women with pre-eclampsia. METHODS: This was an ex vivo study involving 45 normal pregnant women and 45 women with pre-eclampsia (nine with mild and 36 with severe features) matched for age, gestational age, and body mass index. Blood samples were collected and divided into two parts. The first served as the pre-TXA sample, while the second was spiked with TXA and served as the post-TXA sample. Plasma levels of D-dimer and plasmin-antiplasmin complex (PAP) were determined using enzyme-linked immunosorbent assay. RESULTS: The mean D-dimer and PAP values in the pre-TXA samples differed significantly between groups. Following spiking with TXA, the mean D-dimer and PAP levels did not differ significantly in the pre-TXA and post-TXA samples (P = 0.560 and P = 0.500, respectively) in the pre-eclampsia cohort. In normal pregnancy, the mean D-dimer and PAP levels in the post-TXA samples did not differ significantly (P = 0.070 and P = 0.050, respectively) from the pre-TXA samples following TXA spiking. CONCLUSION: TXA did not significantly affect D-dimer and PAP levels in pre-eclampsia, suggesting that TXA may not increase the thrombotic risks in patients with pre-eclampsia.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".