Meta‐analysis of Foley catheter plus misoprostol versus misoprostol alone for cervical ripening
Bibliographic record
Abstract
BACKGROUND: The effectiveness of Foley catheter plus misoprostol for cervical ripening has not been convincingly shown in trials. OBJECTIVES: To summarize the evidence comparing Foley catheter plus misoprostol versus misoprostol alone for cervical ripening. SEARCH STRATEGY: Embase, Medline, and Cochrane Collaboration databases were searched with the terms "Foley catheter," "misoprostol," "cervical ripening," and "labor induction." SELECTION CRITERIA: Randomized controlled trials comparing the methods of cervical ripening for delivery of a viable fetus were included. DATA COLLECTION AND ANALYSIS: Study characteristics, quality, and outcomes were recorded. Random-effects models were used to combine data. MAIN RESULTS: Eight trials were included, with 1153 patients overall. In a pooled analysis of seven high-quality studies, the combination group had a decreased time to delivery (mean difference -2.36 hours, 95% confidence interval [CI] -4.07 to -0.66; P=0.007). Risk of chorioamnionitis was significantly increased in the combination group (risk ratio [RR] 2.07, 95% CI 1.04-4.13; P=0.04), and that of tachysystole with fetal heart rate changes was decreased (RR 0.58, 95% CI 0.38-0.91; P=0.02). Frequency of cesarean did not differ (P=0.77). CONCLUSIONS: The combined use of Foley catheter and misoprostol results in a reduced time to delivery, a reduced frequency tachysystole with fetal heart rate changes, and an increased incidence of chorioamnionitis.
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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 | 0.015 | 0.029 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.028 | 0.056 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".