A case of Cronkhite-Canada syndrome with gastrointestinal cancer
Bibliographic record
Abstract
A 52-year-old woman was admitted to our hospital for further evaluation of intractable bloody diarrhea and a weight loss of 10 kg in two months. She had onychodystrophy, alopecia, hyperpigmentation of the skin, and laboratory examination revealed severe hypoproteinemia (serum total protein 3.8 g/dl) and hypokalemia (1.7 mmol/l). Endoscopy showed diffuse reddish sessile polyposis with edematous inflammatory mucosa in the stomach, small intestine and large intestine. Histological analysis of endoscopically-obtained biopsies demonstrated cystic dilatation of mucosal glands and invasion by inflammatory cells─compatible with Cronkhite-Canada syndrome (CCS)─and one of the pedunculated polyps from the transverse colon was diagnosed as non-invasive adenocarcinoma. Eradication therapy for H. pylori and mesalazine administration was performed as an initial treatment, but no symptomatic improvement was achieved. At that point, prednisolone therapy was initiated at 60 mg/day, tapering in combination with mercaptopurine (6-MP) administration. This treatment gradually improved the patient’s symptoms and nutritional status. The malignant colonic polyp was resected endoscopically. CCS is a rare disorder with nonhereditary gastrointestinal polyposis, and has recently been considered to be a high-risk factor for gastrointestinal carcinoma. Careful examination should be undertaken to ensure gastrointestinal carcinoma is not overlooked in cases of CCS.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".