Cronkhite-Canada Syndrome: A Case Report
Bibliographic record
Abstract
Cronkhite-Canada Syndrome is a rare disease characterised by diffuse gastrointestinal polyposis, abdominal pain, diarrhoea, cutaneous and mucosal hyperpigmentation, alopecia, and onychodystrophy. Here we report a case of a 40-year-old female with Cronkhite-Canada Syndrome, who presented with the complaints of diffuse abdominal pain, blood mixed stools, and diarrhoea associated with tenesmus. She had nausea and reduced appetite and lost 10 kgs in 3 months. She had hair fall (alopecia), atrophic changes of nails (onychodystrophy), and hyperpigmentation of the skin in fingers, tongues, and lips. Histopathological biopsy of the gastric and colonic biopsy revealed polypoid edematous mucosa and the colonic biopsies showed scattered dilated glands with inflammatory exudate and mucin. She got Entamoeba histolytica and COVID-19. She received respective antibiotics and protein diets that helped relieve the symptoms. After 4 weeks of steroids, her symptoms improved drastically. Corticosteroids, treating co-infection along with nutritional counselling can be helpful to relieve the symptoms. Keywords: alopecia; case reports; cronkhite-canada syndrome; hyperpigmentation.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.002 |
| 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".