P14Sonographic features of the cervix in the midtrimester as a predictor of preterm delivery
Bibliographic record
Abstract
Background The purpose of this study was to predict preterm delivery by transvaginal ultrasound in the midtrimester. Method This prospective study was conducted on 568 outpatients with normal pregnancy up to 16 gestational weeks. After the patient's consent was obtained, serial transvaginal ultrasound scanning (TVS) was planned at 2–4 weekly intervals from 16 to 27 gestational weeks, and used to assess cervical length, cervical gland area and internal os dilatation. Results (1) The preterm delivery (37 weeks gestation) rate of the patients was 3.0% (17/568). (2) Of the three predictive factors of preterm delivery namely shortened cervical length (30 mm), absence of cervical gland area, and internal os dilatation, the most useful monographic feature of the cervix was absence of cervical gland area examined at 16–19 weeks gestation. (3) The combination of these factors at 16–19 weeks gestation improved the predictive value (sensitivity 35%, specificity 99%, positive predictive value 88%, negative predictive value 96%). Conclusion For the prediction of preterm delivery by TVS in the midtrimester, the most appropriate gestational period was at 16–19 weeks, and the best predictive factor was a combination of the absence of cervical gland area with shortened cervix and internal osdilatation.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".