Morbidity of first trimester aspiration termination and the seniority of the surgeon
Bibliographic record
Abstract
Vacuum aspiration is a safe, acceptable, and efficacious method of first trimester pregnancy termination. The success and complication rates are thought to be partially dependent on operator experience and gestation. We examined this further by studying the outcome of 828 consecutive surgical abortions up to 13 weeks gestation in our hospital. The following outcomes were measured: surgical curettage for presumed retained products of conception; continuing pregnancy; uterine perforation; pelvic sepsis requiring intravenous antibiotics; and blood transfusion required. The complete abortion rate was 94.6% and the rate of continuing pregnancy 0.24%. There was a significant relationship between efficacy and seniority of the surgeon; consultants, senior registrars, registrars, and senior house officers had complete abortion rates of 97.8, 92.8, 94.7, and 88.4% respectively (P = 0.039). Parity did not affect efficacy. Terminations at 12-13 weeks gestation were associated with a significantly lower complete abortion rate. The rates of uterine perforation, blood transfusion, pelvic sepsis requiring intravenous antibiotics, and overnight hospital admission were 0.24, 0, 0.97, and 1.69% respectively. Thus, the only significant factors affecting outcome of surgical abortion are grade of operating surgeon or terminations performed at later gestations of 12-13 weeks. It is vital that physicians performing surgical terminations are adequately trained.
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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 | 0.011 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".