Risk of Uterine Rupture Associated With an Interdelivery Interval Between 18 and 24 Months
Bibliographic record
Abstract
OBJECTIVE: To estimate the association between interdelivery interval and uterine rupture in women with a previous cesarean delivery. METHODS: Secondary analysis was performed in a retrospective cohort study of women who underwent a trial of labor after undergoing a previous cesarean delivery. Only singleton pregnancies with a trial of labor at term were included. Women with two or more previous cesarean deliveries or with a vaginal delivery between the cesarean delivery and the trial of labor were excluded. The rates of uterine rupture were compared among women with interdelivery intervals 24 months or longer (controls), 18-24 months, and fewer than 18 months. The chi2 test and multivariable logistic regression analysis were conducted. A P value of less than .05 was considered significant. RESULTS: A total of 1,768 women were included: 1,323 (74.8%) were 24 months or longer, 257 (14.5%) were 18-23 months, and 188 (10.6%) were fewer than 18 months. The rates of uterine rupture were 1.3%, 1.9%, and 4.8%, respectively (P=.003). After adjustment for confounding factors, an interdelivery interval shorter than 18 months was associated with a significant increase of uterine rupture (odds ratio [OR], 3.0; 95% confidence interval [CI], 1.3-7.2), whereas an interdelivery interval between 18 to 24 months was not (OR, 1.1; 95% CI, 0.4-3.2). CONCLUSION: An interdelivery interval shorter than 18 months, but not between 18 and 24 months, should be considered as a risk factor for uterine rupture.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".