Bibliographic record
Abstract
Background: Postpartum hemorrhage (PPH) is a significant factor in maternal morbidity and mortality. Successful techniques using compression sutures to control PPH have been described, in some cases using a combination of techniques. We describe a case in which compression sutures to control PPH were complicated by subsequent myometrial necrosis. Case: A healthy 32-year-old woman, gravida 3, para 0, underwent Caesarean section at 41 weeks ’ gestation after failure to progress in labour. One B-Lynch plus two Cho sutures were used to control postpartum hemorrhage. During a subsequent pregnancy, a large triangular myometrial defect was identified in the mid-anterior uterine wall and two smaller defects in the posterior wall. Conclusion: Patients should be informed about the possible complications of the use of compression sutures and the need to undergo postoperative follow-up to confirm uterine wall integrity. We propose the establishment of a national registry of women who undergo placement of compression sutures, in order to document the efficacy and the long-term and short-term complications of this procedure. Résumé Contexte: L’hémorragie postpartum (HPP) est un facteur important de morbidité et de mortalité maternelles. Les techniques qui obtiennent du succès au moyen de sutures de compression pour maîtriser l’HPP ont été décrites; dans certains cas, l’on a recours à une combinaison de techniques. Nous décrivons un cas dans le cadre duquel les sutures de compression utilisées pour maîtriser l’HPP ont été compliquées par une nécrose myométriale subséquente. Cas: Une femme en santé de 32 ans, gravida 3, para 0, a subi une césarienne à la 41
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.859 | 0.702 |
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".