<scp>P</scp>14.30: The impact of low‐dose aspirin on utero‐placental circulation: a systematic review
Bibliographic record
Abstract
Low-dose aspirin (LDA) started in early pregnancy reduces the risk of placenta-mediated complication, including pre-eclampsia, fetal growth restriction and perinatal death. We aimed to evaluate the effect of LDA on uteroplacental circulation using Doppler ultrasound. We performed a systematic review where all randomized controlled trials (RCTs) that evaluated the effect of LDA vs placebo or no treatment on any of the following outcomes: uterine artery (UtA), umbilical or uteroplacental artery Doppler for pulsatility index (PI), resistance index (RI) or early-diastolic notches. Out of 875 citations, including 24 RCTs that recruited pregnant women with abnormal UtA Doppler, only 4 reported the effect of LDA on at least one Doppler outcome. One trial randomized 176 women undergoing IVF to start 100 mg of aspirin daily or placebo at embryo transfer: they observed no impact of LDA at 13 weeks' but a significant reduction of mean UtA PI at 18 weeks (0.83 ± 0.36 vs 1.17 ± 0.47, p < 0.01). One trial randomized 105 women with polycystic ovary syndrome to receive 80 mg of aspirin, metformin, or placebo at 12 weeks' gestation and observed a significant reduction of mean UtA PI at 20 weeks with LDA compared to placebo (0.89 ± 0.21 vs 1.10 ± 0.30; p = 0.005). One trial randomized 90 women with bilateral UtA notches at 12-14 weeks and reported no significant impact of aspirin on the rate of bilateral notches at 24-26 weeks (30% vs 35%, p = 0.65) and 32-34 weeks (9 vs 23%, p = 0.08). Finally, one trial randomized 26 women with abnormal UtA Doppler at 24 weeks' to receive 50 mg of aspirin (n = 13) vs placebo (n = 13) and observed no impact on UtA Doppler but a significant improvement of uteroplacental RI (β: -0.220, p = 0.01) throughout pregnancy in a logistic regression analysis. The current data supports the clinical findings suggesting that LDA started around 12 weeks' gestation is associated with improvement of deep placentation.
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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 | 0.002 | 0.124 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".