Is a planned caesarean section in women with cardiac disease beneficial?
Bibliographic record
Abstract
OBJECTIVES: In the general population, planned caesarean section is thought to be safer in high-risk situations as it avoids the greater risk of an emergency caesarean section. Only limited data exist on the optimal mode of delivery in women with structural heart disease. We investigated the relationship between mode of delivery and pregnancy outcome in women with pre-existing heart disease. METHODS: The Registry on Pregnancy and Cardiac Disease is an on-going, global, prospective observational registry of women with structural heart disease. We report on 1262 deliveries, between January 2007 and June 2011. RESULTS: The caesarean section was planned in 393 women (31%): 172 (44%) for cardiac and 221 (56%) for obstetric reasons of whom 53 delivered by emergency caesarean section. Vaginal delivery was planned in 869 (69%) women, of whom 726 (84%) actually delivered vaginally and 143 (16%) had an emergency caesarean section. Perinatal mortality(1.1 vs 2.7, p=0.14) and low apgar score (11.9 vs 10.1, p=0.45) were not significantly different in women who had a caesarean section or vaginal delivery; gestational age(37 vs 38 weeks p=0.003) and birth weight (3073 vs 2870 g p<0.001) were lower in women delivered by caesarean section compared with women delivered by vaginal delivery. In those delivered by elective or emergency caesarean section, there was no difference in maternal mortality (1.8% vs 1.5%, p=1.0), postpartum heart failure (8.8% vs 8.2% p=0.79) or haemorrhage (6.2% vs 5.1% p=0.61). CONCLUSIONS: These data suggest that planned caesarean section does not confer any advantage over planned vaginal delivery, in terms of maternal outcome, but is associated with an adverse fetal outcome.
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 | 0.001 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".