Mento-Anterior Face Presentation in a Primigravida
Bibliographic record
Abstract
The optimal time interval between myomectomy and pregnancy is unclear and no specific guidelines exist. The aim of this review was to study the time interval from myomectomy to pregnancy and the occurrence of uterine rupture after myomectomy. Randomized controlled trials, cohort studies and retrospective studies were used to assess the primary objective, and case reports, cases series or letters to the editor for the secondary objective. Only articles reporting myomectomy performed via the vaginal route, laparotomy, laparoscopy or robot-assisted surgery were selected for inclusion. Among 3852 women who wanted to become pregnant after the surgery, 2889 became pregnant, accounting for 3000 pregnancies (77.9%) and 2097 live births (54.4%). Mean time between myomectomy and pregnancy was estimated at 17.6 months (SD 9.2) for 2451 pregnant women. Among 1016 women, a third were advised to delay attempting to conceive for between 3 and 6 months and another third for between 6 and 12 months. A total of 70 spontaneous uterine ruptures with a mean gestational age of 31 weeks at occurrence were identified. No linear relationship was found between gestational age at the event and time interval from myomectomy to conception (P = 0.706). There are insufficient data to advise a minimal time interval between myomectomy and conception.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".