Case Report: Cronkhite-Canada syndrome: presentation of a pediatric case and review of the literature
Bibliographic record
Abstract
Background: Cronkhite-Canada syndrome (CCS) is extremely rare in children, presenting with complex clinical manifestations often leading to misdiagnosis. Case presentation: We reported a description of a 13-year-old boy with CSS presenting with persistent diarrhea, vomiting, abdominal pain, along with symptoms of weight loss, alopecia, and skin hyperpigmentation. The patient had ectodermal manifestations such as alopecia and skin hyperpigmentation. Laboratory tests revealed hypoalbuminemia, normal inflammatory indicators, positive anti-dsDNA antibodies, anti-centromere antibodies, and anti-nuclear antibodies. Gastrointestinal endoscopy identified polypoid changes in the stomach, duodenum, and colon, with pathology indicating glandular dilation, cryptitis, and crypt abscesses. Treatment with prednisone led to significant improvement in symptoms, including normalization of stool consistency, hair regrowth, and disappearance of skin hyperpigmentation. Conclusion: This study emphasizes the importance of comprehensive assessment, endoscopic examination, histological biopsy, and the effectiveness of steroid therapy in the diagnosis and management of CCS in children. In children presenting with diarrhea, abdominal pain, weight loss, polyposis, and ectodermal manifestations, CCS should be considered.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".