Intra-Abdominal Hemorrhage Complicating Electrothermal Arterial Injury During Pelvic Surgery
Bibliographic record
Abstract
Iatrogenic vascular injury is a potentially serious complication of surgical procedures. Here we report a case of delayed fatal intra-abdominal hemorrhage because of electrocautery injury of a right external iliac artery. The decedent, a 31-year-old woman, died suddenly on postoperative day 1 after a laparoscopic staging operation for an ovarian tumor. Her past medical history included a recent diagnosis of a microinvasive carcinoma in the background of a mucinous cystic neoplasm of the right ovary. Postmortem examination revealed a young woman with evidence of emergency intervention, recent laparoscopic pelvic surgery, and pale hypostasis limited to the back surfaces of the body. The internal examination confirmed the postmortem computed tomography findings of a large amount of blood in the pelvic and abdominal cavities and evidence of recent surgical intervention. The soft tissues around the aorta and major pelvic vessels showed electrocautery change and marked perivascular hemorrhage preferentially surrounding the right external iliac artery. Histological examination of the vascular bundle showed an electrocautery injury of the arterial wall: transmural necrosis, acute inflammation, and hemorrhage. In this report, we offer an approach to a postmortem examination in postoperative deaths with emphasis on deaths due to iatrogenic vascular injuries and discuss the rationale for determining the manner of death.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".