Labor Complicated by Cervical Stenosis Following a Laser Cone Biopsy
Bibliographic record
Abstract
A 34-year-old lady, with three previous spontaneous vaginal deliveries, presented in labor at 37 + 0 weeks' gestation. Following the birth of her third child, she underwent a laser cone biopsy for cervical intraepithelial neoplasia (CIN) 3. Despite sustained regular contractions and augmentation with Syntocinon, progressive cervical dilatation beyond 1 cm failed to occur in this multiparous lady. A delayed diagnosis of cervical stenosis was made. She eventually underwent a cesarean section where her internal cervical os was found to be thin and fibrotic. This case describes an uncommon occurrence of cervical stenosis presenting in labor and seeks to increase awareness of this condition so as to allow preemptive counselling of similar patients, early recognition in a labor with poor progress and a swift, better-informed decision to deliver via an emergency cesarean section. We review the existing literature on cervical stenosis following cervical conization and analyze the various definitions available.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".