Is there an interaction between cervical length and cervical microbiology in the pathogenesis of preterm labour?
Bibliographic record
Abstract
Transvaginal ultrasound of the cervix is increasingly used to estimate cervical length during pregnancy. Initially used to determine a possible need for cervical suture, the technique has been shown to be of value in the prediction of preterm delivery In addition, bacterial vaginosis has been shown to be associated with an increased risk of preterm delivery. We hypothesised that shortening of the cervix and potential cervical pathogens, in particular the presence of bacterial vaginosis, act synergistically in the pathogenesis of premature labour. Three hundred and sixteen women were recruited for prospective longitudinal follow-up, with both transvaginal ultrasound and cervical bacteriology performed at approximately 18 and 28 weeks gestation. A strong correlation was found between a shortened cervix and preterm delivery (p<0.02 at 18 weeks; p<0.001 at 28 weeks). Women with both a short cervix and cervical pathogens had the highest risk of preterm delivery (43%), although not significantly greater than a short cervix with normal cervical flora (31% preterm delivery). In the presence of a normal cervical length, preterm delivery rates in the presence of normal flora and potential cervical pathogens were much lower (9% and 5% respectively).
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".