An Unusual and Successful Pregnancy With Multiple Large Uterine Fibroids Delivered by Cesarean Myomectomy
Bibliographic record
Abstract
Uterine fibroids, or myomas, are benign tumors affecting about 68.6% of women, with Indonesia's Hasan Sadikin Hospital reporting a prevalence between 2.4% and 12.46%. In pregnancy, the incidence drops to 0.1% to 10.7%, but fibroids can still lead to complications. This case study highlights the successful management of a complex pregnancy with multiple large uterine fibroids. A 36- to 37-week primigravida presented with a large intramural fibroid (20 × 15 × 10 cm) at the uterine fundus and six smaller fibroids in the anterior corpus. Despite these challenges, the pregnancy progressed without major issues. A cesarean section was performed, delivering a healthy baby weighing 2,815 g and measuring 46 cm. The case demonstrates effective management of a difficult obstetric situation, emphasizing the importance of tailored care and surgical skill in achieving favorable outcomes for both mother and baby.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| 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".