Postpartum hemorrhage in low risk population
Bibliographic record
Abstract
OBJECTIVE: To identify risk factors for postpartum hemorrhage (PPH) in low risk patients. METHODS: All deliveries between 2001 and 2007 were retrieved. Women with well-established preexisting risk factors for PPH were excluded. Among the remaining women (n=15,198) considered at low risk, various factors were assessed to evaluate their role in PPH. RESULTS: Rates of PPH increased from 1.03 in 2001 to 2.45% in 2007. Gestational age at delivery, induction of labor with oxytocin, cesarean section and regional analgesia were not associated with PPH. Logistic regression analysis demonstrated that the following factors were significantly associated with PPH: increased birth weight (P<0.001), female gender (P=0.006), duration of membrane rupture (P=0.002), duration of second stage (P<0.001), chorioamnionitis (P=0.02), and use of prostaglandins (P=0.041). CONCLUSION: Early recognition of the specific factors presented as associated with PPH should prompt early intervention to reduce the PPH and maternal morbidity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 teacher head, 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".