Endoscopic and Pathological Characteristics of Cronkhite– Canada Syndrome: A Retrospective Analysis of 76 Cases
Bibliographic record
Abstract
BACKGROUND: Cronkhite-Canada syndrome (CCS) is a disease of unknown etiology characterized by the presence of multiple gastrointestinal polyps, chronic diarrhea, loss of appetite, alopecia, onychodystrophy, and cutaneous hyperpigmentation. CCS is a rare disease with an incidence rate of 1 per million. Clinicians are not aware of this disease, and the discovery of gastrointestinal polyps is often a starting point for the diagnosis of this disease. By analyzing the endoscopic and pathological characteristics of CCS, this study aims to deepen our understanding of gastrointestinal polyposis and facilitate early diagnosis of CCS. METHODS: We screened databases, including the Chinese Biomedical Literature Database (CBM Web), the China Academic Journals Fulltext Database (CJFD), and PubMed for CCS cases reported from January 2010 to January 2020, and conducted a retrospective analysis of endoscopic and pathological characteristics of these cases. RESULTS: The endoscopic data of the 76 retrieved cases revealed that CCS is gastrointestinal polyposis with the intensive and confluent distribution. The greater the number of polyps and the higher their distribution, the brighter their color. A pathological assessment revealed that both gastric polyps and intestinal polyps are mainly juvenile hamartomatous polyps and have a high malignant transformation rate. Interstitial edema, eosinophil infiltration, and cystic dilation of glands are common features of CCS polyps, distinguishing them from other gastrointestinal polyposis syndromes. CONCLUSION: CCS is a polyp disease different from other gastrointestinal polyposis. Analysis of its endoscopic and pathological characteristics can contribute to the understanding and early diagnosis of the disease.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".