Prediction of Recurrent Preeclampsia Using First-Trimester Uterine Artery Doppler
Bibliographic record
Abstract
OBJECTIVE: To evaluate the role of first-trimester uterine artery Doppler in the prediction of recurrent preeclampsia (PE). METHODS: Uterine artery pulsatility index (UtPI) was measured at 11 to 13 weeks' gestation in 1,810 women with singleton pregnancies who had developed PE in a previous pregnancy. They were categorized into three subgroups according to UtPI multiple of median (MoM): < 1.0, 1.0 to 1.49, and ≥ 1.50 MoM. The rate of early onset PE (< 34 weeks), intermediate PE (34 to 36 weeks), late PE (≥ 37 weeks), perinatal death, and small-for-gestational-age outcome (SGA; below the 5th percentile) were compared between each subgroup. RESULTS: The median mean UtPI decreased with advancing crown-rump length (CRL) from 1.77 at CRL of 45 to 54 mm to 1.52 at CRL of 75 to 84 mm. UtPI < 1.0 MoM was associated with a low-risk of early PE (0.2%), intermediate PE (0.3%), perinatal death (0.3%), and SGA (3.3%). The risk for these complications increases with UtPI of 1.0 to 1.4 MoM or ≥ 1.5 MoM (early PE 2.8 and 14.3%, respectively, p < 0.001; intermediate PE 2.1 and 5.4%, p < 0.001; perinatal death 1.3 and 6.8%, p < 0.001; and SGA 8.0 and 20.9%, p < 0.001). CONCLUSION: In women with previous PE, first-trimester UtPI discriminates women at high and low risk for recurrence of PE and adverse pregnancy outcomes.
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.
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 | 0.009 |
| 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".