Successful Antepartum Myomectomy of a Large Pedunculated Fibroid
Bibliographic record
Abstract
Background: Uterine leiomyomas are generally asymptomatic during pregnancy, but in some cases can be associated with both maternal and fetal complications. The management of fibroids during pregnancy is largely expectant, and myomectomy is delayed until after delivery due to the risk of hemorrhage and postoperative morbidity. However, when there is severe pain, uncertain diagnosis, or massive size, expectant or medical management might not be adequate; thus, surgical intervention might be necessary. Antenatal myomectomy is controversial, and there is a paucity of literature describing the procedure. Case: A 30-year-old primigravida was diagnosed with a large pedunculated fibroid during her dating ultrasound. A physical examination revealed that this fibroid filled her abdominal cavity. The fibroid was also viewed under magnetic resonance imaging to delineate the blood supply and rule out any concerning features. An abdominal myomectomy was performed at 12 weeks' gestational age without disrupting the pregnancy. Results: Following surgery, the patient had an uncomplicated antenatal course and subsequently delivered a healthy female infant at 39 weeks. Conclusions: This report supports previous small case series and case reports describing successful antenatal abdominal myomectomy in carefully selected and appropriately counseled patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".