P01.05: Serial cervical length determination in twin pregnancies reveals four distinct patterns with prognostic significance for preterm birth
Bibliographic record
Abstract
To identify distinct patterns of change in sonographic cervical length(CL) as a function of gestational age in twin gestations and to determine their prognostic value. Retrospective study of women with twins who had serial sonographic cervical examinations at 18–32 weeks. Changes in CL as a function of GA were analysed to identify distinct patterns of cervix behaviour and to determine their relationship to the likelihood of preterm birth (PTB). 1) We identified 441 women with twins with serial measurements of CL (median = 6); 2). There were 4 distinct patterns of changes in CL (figure): I) stable cervix-cervix remained long until 32 weeks; II) early shortening-persistent shortening of CL starting at mid-gestation; III) delayed shortening-persistent shortening of CL starting at late 2nd trimester; IV) transient shortening-transient early shortening of CL until reaching a new stable plateau; 3) The rate of PTB < 34 weeks was lowest for Pattern I (11.7%) and was highest for pattern II (44.4%,p < 0.001) (figure); 4) For pattern II, the main factor affecting the risk of PTB was the shortening rate (AUC 0.67), while for pattern III it was the week at which shortening began (AUC 0.74). The main factors that affected the risk of PTB in cases of pattern IV were the initial shortening rate (AUC 0.63) and the new final plateau of CL (AUC 0.68) (figure). Supporting information can be found in the online version of this abstract Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.041 |
| 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".