Bibliographic record
Abstract
The frequency of acute uterine inversion, a rare but life-threatening condition, depends upon the standard of care during the third stage of labour. The incidence therefore varies widely from about 1/2000 to 1/50 000 deliveries. The degree of inversion may be incomplete, in which the fundus is inverted but does not protrude through the cervix (first degree), or complete, when the inverted fundus passes completely through the cervix and lies either in the vagina (second degree) or completely out side the introitus (third degree) (Figure 20.1). Causes The combination of uterine relaxation and fundal insertion of the placenta provides the important predisposition to acute uterine inversion, a predisposition which may then be converted to uterine inversion by the factors discussed below. • Mismanagement of the third stage of labour is the cause in the majority of cases, either by pressure on the uterine fundus or by premature traction on the umbilical cord before the placenta has separated and when the uterus is relaxed. This provides additional support in favour of active management of the third stage of labour, because the administered oxytocic and ensuing uterine contraction make it impossible to turn the uterus inside out. • An acute rise in intra-abdominal pressure as a result of maternal coughing or vomiting can rarely produce a strong enough propulsive force on the uterine fundus to cause inversion, if the vulnerable setup of a fundally implanted placenta and uterine relaxation are present.[…]
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".