Bibliographic record
Abstract
OBJECTIVE: To review the incidence, associated factors, methods of diagnosis, and maternal and perinatal morbidity and mortality associated with uterine rupture in one Canadian province. METHODS: Using a perinatal database, all cases of uterine rupture in the province of Nova Scotia for the 10-year period 1988-1997 were identified and the maternal and perinatal mortality and morbidity reviewed in detail. RESULTS: Over the 10 years, there were 114,933 deliveries with 39 cases of uterine rupture: 18 complete and 21 incomplete (dehiscence). Thirty-six women had a previous cesarean delivery: 33 low transverse, two classic, one low vertical. Of the 114,933 deliveries, 11,585 (10%) were in women with a previous cesarean delivery. Uterine rupture in those undergoing a trial for vaginal delivery (4516) was complete rupture in 2.4 per 1000 and dehiscence in 2.4 per 1000. There were no maternal deaths, and maternal morbidity was low in patients with dehiscence. In comparison, 44% of those with complete uterine rupture received blood transfusion (odds ratio 7.60, 95% confidence interval 1.14, 82.14, P =.025). Two perinatal deaths were attributable to complete uterine rupture, one after previous cesarean delivery. Compared with dehiscence, infants born after uterine rupture had significantly lower 5-minute Apgar scores (P <.001) and asphyxia, needing ventilation for more than 1 minute (P <.01). CONCLUSION: In 92% of cases, uterine rupture was associated with previous cesarean delivery. Uterine dehiscence was associated with minimal maternal and perinatal morbidity. In contrast, complete uterine rupture was associated with significantly more maternal blood transfusion and neonatal asphyxia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".