Disseminated peritoneal leiomyomatosis: A case report and review of the literature
Bibliographic record
Abstract
Disseminated peritoneal leiomyomatosis (DPL) is a rare, mostly benign clinical condition where multiple smooth-muscle nodules or growths of various sizes of uterine origin implant on the abdominal, pelvic and peritoneal surface. The condition can occur spontaneously, or iatrogenically after surgical seeding. We present the case of a 46-year-old woman who was incidentally diagnosed with DPL during a laparoscopic sling procedure for stress urinary incontinence. This patient had undergone a laparoscopic supracervical hysterectomy 9 years earlier for menorrhagia and uterine fibroids. During this procedure the uterine specimen had been removed with a laparoscopic morcellator. With the increase in laparoscopic hysterectomies and myomectomies, this case highlights the need for surgical diligence in removal of all morcellated fragments of the specimen. The patient should be made aware of the potential risks of this technique of tissue extraction.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".