MétaCan
Menu
← Back to cohort
Record W4296235913 · doi:10.7759/cureus.29298

Cronkhite-Canada Syndrome: A Rare Case of Chronic Diarrhea With Ectodermal Changes

2022· article· en· W4296235913 on OpenAlexaboutno aff
Natapat Chaisidhivej, Monthira Maneerattanaporn, Ananya Pongpaibul, Angkawipa Trongtorsak, Jami Kinnucan

Bibliographic record

VenueCureus · 2022
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypoalbuminemiaMalabsorptionDiarrheaEsophagogastroduodenoscopyGastroenterologyInternal medicineAnemiaDuodenumEnteropathyHyperpigmentationShort bowel syndromeColonoscopyHematocheziaDermatologySurgeryEndoscopyCancerParenteral nutritionColorectal cancer

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome (CCS) is a rare cause of chronic diarrhea and malabsorption where patients develop multiple polyps throughout the gastrointestinal (GI) tract, accompanied by ectodermal changes. Due to its rarity, early detection and diagnosis are challenging for physicians, inevitably leading to high mortality. CCS patients have a higher prevalence of GI cancer compared to the general population. Therefore, a follow-up endoscopy is necessary. We report a new case of CCS in an 85-year-old male who presented with chronic watery diarrhea, weight loss, and skin changes including alopecia, nail dystrophy, and hyperpigmentation. Laboratory results showed anemia and hypoalbuminemia. He underwent an endoscopy that found diffuse edematous polyposis in the stomach, duodenum, terminal ileum, and large intestine. The biopsy result confirmed the diagnosis of CCS. The patient received supportive treatment with total parenteral nutrition with improvement in his symptoms. He was placed on corticosteroid taper and azathioprine upon discharge. At the one-year follow-up, he was found in endoscopic 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.234
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCureus→Same topicGenetic factors in colorectal cancer→French-language works237,207→