Spontaneous Hemoperitoneum in Pregnancy Due to Endometriosis in the Second Trimester
Bibliographic record
Abstract
Spontaneous hemoperitoneum in pregnancy (SHiP) is defined as unprovoked intraperitoneal bleeding during pregnancy or up to 42 days postpartum. A 31-year-old primigravid woman presented to our hospital at 19 weeks of gestation with acute left lower abdominal pain. Upon several examinations, she was found to have intraabdominal bleeding. However, pelvic magnetic resonance imaging (MRI) failed to yield specific findings. The following day, owing to increased pain and progressive anemia, she underwent an exploratory laparotomy. Preoperative ultrasound imaging revealed intrauterine fetal death. Laparotomy revealed oozing-type active bleeding from three delicate tissues related to endometriosis: the myometrium at the uterine anterior and posterior surfaces and a portion of the peritoneum in the vesicouterine excavation. A cesarean section was performed, successfully halting the bleeding and obviating the need for a hysterectomy. She was ultimately diagnosed with SHiP. SHiP in the second trimester is relatively uncommon, and the subacute progression of symptoms made early diagnosis challenging. For a correct diagnosis and appropriate treatments, full consideration of the clinical circumstance is needed without excessive reliance on imaging findings, including MRI, and an early exploratory laparotomy may be the best approach in cases of an unclear source of bleeding. J Clin Gynecol Obstet. 2024;13(1):12-17 doi: https://doi.org/10.14740/jcgo926
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".