Safety of misoprostol vaginal insert for labor induction using standard vs. adjusted retrieval criteria: a comparative cohort study
Bibliographic record
Abstract
Objective To compare the safety of misoprostol vaginal insert (MVI) for labor induction using standard and adjusted criteria. Methods This was a single-center, comparative cohort study of 138 pregnant women ≥37/0 weeks undergoing labor induction with MVI using standard (69 women; administration for up to 24 h; MVI-24) or adjusted (69 women; administration for up to 10 h; MVI-10) criteria in a tertiary academic center in Germany. The main maternal safety outcomes were the rate of tachysystole and rate of tachysystole requiring tocolysis. Neonatal safety assessments included Apgar score at 5 min and postpartum arterial fetal pH. Results Uterine tachysystole occurred in more women in the MVI-24 group compared with the MVI-10 group [47.8% vs. 25.5%; P = 0.001; relative risk (RR) 2.36 (95% confidence interval [CI]: 1.39-4.00)] and as did uterine tachysystole requiring tocolysis [MVI-24: 26.1% vs. MVI-10: 11.6%; P = 0.049; RR 2.25 (95% CI: 1.05-4.83)]. The mean 5-min Apgar scores were 9.64 for the MVI-24 group and 9.87 for the MVI-10 (P = 0.016). Low postpartum umbilical arterial pH values occurred more often in the MVI-24 compared with the MVI-10 group (pH 7.10-7.19: 26.1% vs. 20.3% and pH <7.10: 4.4% vs. 0.0%, respectively). Conclusion Adjusted retrieval criteria for MVI of up to 10 h exposure instead of the standard 24 h reduced uterine tachysystole and improved the neonatal outcome.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".