Massive Upper Gastrointestinal Bleeding Secondary to Duodenal Metastasis of Transitional Cell Carcinoma of the Urinary Bladder
Bibliographic record
Abstract
Acute upper gastrointestinal (UGI) bleeding is a common problem in our clinical practice and is often due to peptic ulcer diseases. Occasionally, malignancy may be implicated in these situations. Here we report a rare case of UGI bleeding secondary to metastatic transitional cell carcinoma (TCC) of the urinary bladder. A 62-year-old man with a history of stage IIIb TCC of the urinary bladder presented with hematemesis. Endoscopy showed a large tumor in the second stage of the duodenum that occupied 40% of the duodenal circumference, over 7 cm in length. Biopsies revealed a poorly differentiated malignant neoplasm consistent with metastasis from urothelial carcinoma that was identical to the previous surgical specimen of the urinary bladder. He was treated with supportive therapy and intravenous proton pump inhibitor and was discharged home 2 weeks later. Two weeks after discharge, the patient returned to the hospital with a painful swelling of the floor of his mouth. Biopsy again showed the same cancer type. He had unremitting bleeding from his mouth requiring multiple transfusions and a course of palliative radiation therapy. He progressively deteriorated in his cardiopulmonary and neurological functions and expired with cardiopulmonary arrest one month later.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".