Cronkhite-Canada syndrome: a rare case report and literature review
Bibliographic record
Abstract
BACKGROUND: Cronkhite-Canada Syndrome (CCS) is a rare non-inherited disease characterized by gastrointestinal polyposis and ectodermal abnormalities, the estimated incidence is about one per million. Recognizing and curing the disorder face great challenge. CASE PRESENTATION: This report refers to a Chinese 52 year old man with gastrointestinal symptoms and ectodermal abnormalities. Gastrointestinal symptoms occurred without obvious cause, followed by ectodermal abnormalities after two months. In several hospitals, endoscopy examinations found numerous polypoid lesions in various sizes spreading over the stomach and the entire colon and rectum, histopathological examinations showed inflammatory and adenomatous polyp. In our hospital, both endoscopy and the contrast-enhanced computed tomography (CT) of small intestine showed gastrointestinal polyposis. Gastric antrum and the colon biopsy samples suggested hyperplastic and inflammatory polyp respectively. Endoscopic ultrasonography (EUS) suggested gastric wall thickening. Fujinnon intelligent color enhancement (FICE) revealed that the size of gastric glands pit varied, and vessels were visible. Confocal endoscope showed increased glandular epithelium layers. Magnifying narrow-band imaging endoscopy (ME-NBI) detected that pit pattern in the mucous of the polyp were regular and type III-IV of microvessels were seen. Biochemical investigations showed anemia, hypoalbuminemia and electrolyte disturbance. IgG, IgA and C3 decreased. Anti-ribosomal phosphoprotein is weak positive. The patient was given nutritional support treatment. Gstrointestinal symptoms and hyperpigmentation improved gradually. CONCLUSION: The patient was ever hospitalized in four hospitals and was diagnosed with CCS after 8 months of gastrointestinal symptoms. So when encountering the patient with gastrointestinal polyposis and ectodermal abnormalities, try to take CCS into consideration. Due to its low incidence, no standard therapy regimen has been established so far. However, nutritional support treatment is of great significance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".