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Record W4412690405 · doi:10.7759/cureus.88876

A Case of Asymptomatic Cronkhite-Canada Syndrome Diagnosed by Endoscopic and Pathological Findings

2025· article· en· W4412690405 on OpenAlexaboutno aff
Yusaku Yokotani, Hiroaki Kitae, Mika Mazaki

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsymptomaticPathologicalDermatologySurgeryPathology

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome (CCS) is a rare, non-hereditary disease characterized by specific symptoms, ectodermal abnormalities, endoscopic findings, and pathological examination. We report a unique case of a 39-year-old man with suspicious CCS. Although the blood test showed iron-deficiency anemia and hypoalbuminemia, he exhibited no symptoms, including those related to CCS itself and anemia and hypoalbuminemia. According to the result of endoscopic and pathological examination, he was diagnosed with possible CCS. While following the patient's medical course, the serum albumin level gradually declined. Six months after the diagnosis, oral corticosteroid therapy was initiated to prevent disease progression. Consequently, the patient achieved a favorable clinical course without developing any symptoms. This case highlights the importance of considering CCS even in the absence of typical symptoms and suggests that therapeutic intervention may be beneficial even in asymptomatic presentations.

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)0.002
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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