Acquired uterine arteriovenous malformation in a patient with cornual pregnancy: A case report
Bibliographic record
Abstract
INTRODUCTION: Acquired uterine arteriovenous malformation (uAVM) is a rare disease and could occur after dilation and curettage, cesarean section, or neoplastic processes. PATIENT CONCERNS: A 29-year-old female presented with acute right lower abdominal pain and positive beta human chorionic gonadotropin (β-hCG). DIAGNOSIS: A 6 cm ectopic right cornual pregnancy was found on ultrasound examination. INTERVENTIONS: She underwent a laparoscopic resection of the cornual ectopic pregnancy. She returned with extensive vaginal bleeding 6-month post surgery, and eventually diagnosed with arteriovenous malformation at the previous surgical site by Color Dopplor endovaginal ultrasound. Percutaneous transcatheter uterine artery embolization (UAE) was attempted, however, vaginal bleeding continued. She was taken to the operation room for a hysteroscopic ablation of uAVM. OUTCOMES: Complete cessation of the bleeding was achieved without hysterectomy. CONCLUSION: We report an extremely unusual case of acquired uAVM after a wedge resection of cornual pregnancy. Ultrasound evaluation of patients with post-operative persistent bleeding should be considered for evaluation of a possible arteriovenous malformation.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".