Nonpuerperal vaginal hemorrhage secondary to complete uterine inversion: A case report
Bibliographic record
Abstract
Approximately 95% of uterine inversion cases are associated with pregnancy in the early postpartum period. This case describes a rare presentation of uterine inversion in the nonpuerperal period secondary to a submucosal leiomyoma. A 48-year-old G2P2 peri-menopausal female was admitted for 6 weeks of abnormal uterine bleeding and a 17 × 10 cm mass prolapsing into the cervical canal and upper vagina, with a large vascular pedicle inserting into the central superior aspect of the lesion from the fundal region. A computed tomography (CT) scan confirmed the diagnosis of a complete uterine inversion secondary to a large fundal leiomyoma with a submucosal component. Laparoscopic total hysterectomy was performed with no complications, and pathology confirmed the diagnosis of a benign leiomyoma. Though rare, uterine inversion can be caused by a leiomyoma in the nonpuerperal period and should be considered in patients with abnormal uterine bleeding and pelvic masses. Ultrasonography and CT scan were sufficient in providing an accurate diagnosis for which surgical management was indicated in this case.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".