Delivery Route Following Elective Induction of Labor at Term: Analysis of 807 Patients
Bibliographic record
Abstract
BACKGROUND: The purpose of this study is to compare mode of delivery for both nulliparous and multiparous women at term that underwent elective induction of labor to those who arrived in spontaneous labor. METHODS: Medical records of 807 deliveries were reviewed. There were 566 labor patients and 241 elective induction patients. RESULTS: Women who underwent elective induction of labor were more likely to undergo cesarean delivery compared to those women who arrived in spontaneous labor (41.1% versus 9.9%, P = 0.001). This was true for both nulliparous women (49% versus 31%, P < 0.0001), and multiparous women (22.7% versus 1.6%, P < 0.0001). The rate of operative vaginal delivery was also increased in the elective induction of labor group (8.4% versus 3.6%, P < 0.0001). Operative vaginal delivery was statistically significant in multiparous women (21% versus 4.1%, P < 0.0001), but not in nulliparous women (10.1% versus 9.8%, P = NS). CONCLUSION: Elective induction of labor at term is associated with an increased risk of cesarean section in both nulliparous and multiparous women. There is also an increased risk of an operative vaginal delivery in multiparous women who underwent elective induction of labor.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".