The Length of the Third Stage of Labor and the Risk of Postpartum Hemorrhage
Bibliographic record
Abstract
OBJECTIVE: To estimate whether the length of the third stage of labor is correlated with postpartum hemorrhage. METHODS: In this prospective observational study women delivering vaginally in a tertiary obstetric hospital were assessed for postpartum hemorrhage. All women were actively managed with the administration of oxytocin upon delivery of the anterior shoulder. Blood loss was measured at each delivery in collecting devices, and drapes and sheets were weighed to calculate the blood loss at each vaginal delivery. Postpartum hemorrhage was defined as more than 1,000 mL blood loss or hemodynamic instability related to blood loss requiring a blood transfusion. RESULTS: During a 24-month period there were 6,588 vaginal deliveries in a single tertiary obstetric hospital, and postpartum hemorrhage occurred in 335 of these (5.1%). The median length of the third stage of labor was similar in women having and those not having a postpartum hemorrhage. The risk of postpartum hemorrhage was significant at 10 minutes, odds ratio (OR) 2.1, 95% confidence interval (CI), 1.6-2.6; at 20 minutes, OR 4.3, 95% CI 3.3-5.5; and at 30 minutes OR 6.2, 95% CI 4.6-8.2. The best predictor for postpartum hemorrhage using receiver operating characteristic curves was 18 minutes. CONCLUSION: A third stage of labor longer than 18 minutes is associated with a significant risk of postpartum hemorrhage. After 30 minutes the odds of having postpartum hemorrhage are 6 times higher than before 30 minutes. LEVEL OF EVIDENCE: III.
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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 | 0.008 |
| 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 | 0.001 |
| 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".