Postpartum hemorrhage today: ICM/FIGO initiative 2004–2006
Bibliographic record
Abstract
Postpartum hemorrhage (PPH) is the main cause of maternal mortality. Yet, even though solutions have been identified, governments and donor countries have been slow to implement programs to contain the problem. While poverty and low educational level remain the underlying cause of PPH, the current literature suggests that active management of the third stage of labor can prevent it. The International Confederation of Midwives (ICM) and the International Federation of Gynecology and Obstetrics (FIGO) are attempting to address the chronic PPH crisis by educating their members on best practices and on troubleshooting where resources are inadequate. Some studies found oxytocin to be preferable to misoprostol in settings where active management is the norm. However, secondary clinical effects may prove more troublesome with oxytocin than with misoprostol, and misoprostol may prove to be more practical and equally effective in low-resource settings. Two new interventions are also proposed, the anti-shock garment and the balloon tamponade.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".