An unusual case of hamartomatous polyposis with malignancy complication in a patient with ulcerative colitis treated with golimumab.
Bibliographic record
Abstract
We report an unusual case of hamartomatous polyposis with malignant complications in a patient with ulcerative colitis on golimumab and previous thiopurine therapy. This patient was evaluated for iron deficiency anemia and underwent hemicolectomy for extensive right-side predominant inflammatory pseudopolyps. Anemia persisted post-colectomy and subsequent gastroscopy showed a fungating polypoid lesion along with numerous carpet-like strawberry appearing polyps in the stomach extending from the gastro-esophageal junction to the distal part of the antrum, necessitating a gastrectomy. Histology showed extensive hamartomatous-like polyps with adenocarcinoma and nodal metastases. Presence of alopecia totalis and hamartomas in this patient raise the possibility of Cronkhite-Canada Syndrome although this may also represent an undescribed hamartomatous polyposis associated with ulcerative colitis. Even though thiopurine analogue and anti-tumor necrosis factor agents have not been associated with increased risk of solid tumors, immunosuppression in patients with extensive polyposis should be cautiously used due to the potential accelerated malignancy risk. This case also highlights the importance of performing additional imaging of the gastrointestinal tract, in inflammatory bowel disease patients with anemia, particularly if the severity is incongruent with disease activity.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".