Fatal Splenic Arterial Aneurysmal Rupture Associated with Chronic Pancreatitis
Bibliographic record
Abstract
Splenic arterial aneurysms (SAA) are rare and are usually atherosclerotic and/or related to pregnancy. Because pregnancy is the most important predisposing factor, the strong predilection of SAA for women is not surprising. The authors report a case of SAA rupture in a man with chronic pancreatitis as the predisposing factor. A 56-year-old man with abdominal pain and hematemesis was resuscitated and underwent endoscopy, but he died 18 hours later of massive hematemesis before definitive surgery could be carried out. At autopsy, there was chronic pancreatitis with fibrous adhesions tethering the tail of the pancreas, spleen, and posterior wall of the stomach together. The SAA was indented into the posterior wall of the stomach, into which it had ruptured from without. He also had alcoholic cirrhosis but no esophageal varices or conventional gastric ulcers. Other important predisposing factors such as abdominal trauma, infective endocarditis, polyarteritis nodosa, and segmental medial arteriopathy were absent. Histologic examination confirmed the rupture of the SAA. The SAA had Monckeberg medial calcinosis but little evidence of atherosclerosis. The well-documented complications of acute and chronic pancreatitis include shock, abscess, pseudocyst formation, and duodenal obstruction. This report describes the rare complication of SAA rupture, which may be fatal.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 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".