Induction of Labor at 39 Weeks and the Risk of Perinatal Death [19P]
Bibliographic record
Abstract
INTRODUCTION: To investigate the risk of perinatal death associated with induction of labor (IOL) at 39 weeks versus expectant management (EM). METHODS: This was a retrospective cohort analysis of singleton non-anomalous liveborn pregnancies in the United States between January 2015 and December 2017. Data was abstracted from the CDC National Center for Health Statistics from the Division of Vital Statistics. Analyses compared IOL at 39 weeks of gestation to EM with delivery between 40 and 42 weeks of gestation. Year over year rates of IOL and perinatal death were calculated and tested for trend over time. The risk of perinatal death associated with IOL compared to EM was estimated using logistic-binomial regression analysis, adjusting for potential confounders. RESULTS: There were 1,987,757 pregnancies included for analysis. 499,290 (25.1%) pregnancies were induced at 39 weeks. The year over year risk of IOL was 1.04 (95% CI 1.03–1.04). Conversely, the year over year risk of perinatal death was 0.96 (95% CI 0.94–0.99). There was a year over year decrease in risk of neonatal death, aRR: 0.91 (95% CI 0.85–0.96). In the IOL group there were 184 (0.04%) perinatal deaths compared to 2,421 (0.16%) in the EM group, (P<.001; aRR: 0.22, 95% CI 0.19–0.26). CONCLUSION: There was a year over year increase in IOL. Additionally, there was a year over year decrease in perinatal death, primarily due to a decrease in neonatal deaths. IOL at 39 weeks was associated with a decreased risk of perinatal death compared EM.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".