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 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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| 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".