Perforated Marginal Ulcer
Bibliographic record
Abstract
Marginal ulcers are a late complication of gastric bypass surgery. A marginal ulcer is a term for ulcers that develop at the margins of a gastrojejunostomy, primarily on the jejunal side. A perforated ulcer involves the entire thickness of an organ, creating an opening on both surfaces. We will present an intriguing case of a 59-year-old Caucasian female who arrived at the emergency department with diffused chest and abdominal pain that began in her left shoulder and went down to the right lower quadrant area. The patient was in visible pain with restlessness, and her abdomen was moderately distended. The computed tomography (CT) showed possible perforation in the gastric bypass surgery area, but the results were inconclusive. The patient had laparoscopic cholecystectomy ten days prior, and the pain began right after surgery. The patient underwent an open abdominal exploratory surgery, with the closure of the perforated marginal ulcer. The fact that the patient had undergone another surgery and had pain immediately afterward also obscured the diagnosis. This case shows the rare presentation of the patientäs diverse signs and symptoms and inconclusive reports that led to the open abdominal exploratory surgery that finally confirmed the diagnosis. This case highlights the importance of a thorough past medical history, including surgical history. The past surgical history led the team to zone in on the gastric bypass area, leading to an accurate differential diagnosis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".