A United Kingdom national survey of trends in ectopic pregnancy management
Bibliographic record
Abstract
Our national survey demonstrates increased use of medical and laparoscopic management of ectopic pregnancy in the UK. In the UK in 2000, 35% of cases were managed by laparoscopy, 63% by laparotomy and 1% with medication. A recent review in the USA revealed increasing rates of medical management and decreasing rates of laparotomy; a trend driven by both cost-effectiveness and patient choice. A total of 119 early pregnancy units were surveyed regarding the nature and management of the three most recent cases of ectopic pregnancy; in addition, feasibility of training residents was also requested. Participants reported on 124 cases with a median of five cases per month per department. A total of 57% of cases were managed laparoscopically, 31% medically, 5% by laparotomy and 6% conservatively. Out of 44 centres, 29 have the facilities for training in both intermediate laparoscopic surgery and early pregnancy ultrasound.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".