Diarrhoea, weight loss and polyposis: think Cronkhite-Canada syndrome
Bibliographic record
Abstract
A 71-year-old male presented with nausea, diarrhoea and weight loss. He had mild to moderate alopecia, paucity of eyebrow hair, erythematous non-pruritic nodular rash on the wrists, toenail onychomychosis and scalp hyperpigmentation. A colonoscopy revealed an irregular, haemorrhagic 5 cm rectosigmoid mass. Biopsies revealed mucin distended glands and focal ischemic changes. A CT scan showed numerous polypoid-like lesions in the stomach. Upper endoscopy showed mucosal erythema and nodularity with polypoid-like lesions. Biopsies showed cystic glandular dilatation, lamina propria oedema and chronic inflammation consistent with Cronkhite-Canada syndrome (CCS). The patient was started on nutrition supplementation. His skin manifestations were treated topically and with mineral supplements. He improved within 10 weeks and is currently asymptomatic. A high index of suspicion for CCS should exist in patients who present with weight loss, diarrhoea and polyposis. If diagnosed early, the disease can be treated with the goal of clinical remission.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".