Cronkhite-Canada Syndrome Presenting as Diarrhea and Weight Loss: A Case Report and Literature Review.
Bibliographic record
Abstract
Cronkhite-Canada syndrome (CCS) is a rare, non-hereditary disorder characterized by diffuse, non-neoplastic gastrointestinal polyposis along with ectodermal abnormalities, such as alopecia, skin hyperpigmentation, and nail dystrophy. It typically affects individuals aged >50 years and can lead to severe complications, including protein-losing enteropathy, chronic diarrhea, and malnutrition, if not diagnosed early. We report the case of a 68-year-old male who presented with a 2-month history of diarrhea, weight loss, and hair loss. Endoscopic and histopathological examinations revealed diffuse polyposis throughout the gastrointestinal tract, consistent with CCS findings. The patient was treated with a combination of corticosteroids and azathioprine, which led to marked clinical and endoscopic improvements. No recurrence was observed during 1 year of follow-up period. This case highlights the importance of recognizing the typical clinical and diagnostic features of CCS. Owing to its nonspecific presentation, diagnosis may be delayed, potentially worsening the prognosis. Therefore, CCS should be considered in the differential diagnosis of middle-aged or older patients who present with multiple gastrointestinal polyps accompanied by ectodermal symptoms. Early recognition and appropriate immunosuppressive therapy are essential for improving patient outcomes and preventing complications. Long-term surveillance is necessary because of the potential for polyp recurrence or malignant transformation.
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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 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".