A Rare Case of Complete Uterine Torsion in a Postmenopausal Woman
Bibliographic record
Abstract
We present a rare case of uterine torsion caused by an 18-cm subserosal myoma weighing 3.9 kg in a postmenopausal lady in a tertiary center. A 52-year-old postmenopausal lady presented with abdominal pain and no bowel movements of 3 days duration. Multiplanar computed tomography (CT) of abdomen and pelvis showed uterine torsion, while initial pelvis ultrasound was unremarkable. Patient underwent laparotomy and was found to have torsion of the uterus at the level of the isthmus with a large subserosal myoma. She underwent total hysterectomy and bilateral salpingo-oophorectomy. Post-operatively, patient recovered well. Subserosal myoma causing uterine torsion is extremely uncommon, but in a known case of large subserosal myoma in a postmenopausal lady, high index of suspicion is needed when they present with acute abdominal pain. However, prompt identification with advanced radiological imaging is important to minimize associated morbidity and mortality. J Med Cases. 2019;10(6):164-167 doi: https://doi.org/10.14740/jmc3314
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".