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Record W2732935470 · doi:10.14740/gr820w

Cronkhite-Canada Syndrome: A Rare Cause of Chronic Diarrhea

2017· article· en· W2732935470 on OpenAlexvenueaboutno aff
Umair Iqbal, Ahmad Chaudhary, Muhammad Arsalan Karim, Nancy Merrell

Bibliographic record

VenueGastroenterology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiarrheaDermatologyChronic diarrheaGastroenterology

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome (CCS) is a rare non-hereditary disease characterized by chronic diarrhea, diffuse intestinal polyposis and onychodystrophy. We present here a case of a middle-aged female who presented with chronic intermittent bloody diarrhea associated alopecia and loss of finger and toe nails. Labs were remarkable for microcytic anemia and severe hypoalbuminemia. Endoscopy showed numerous polyps scattered throughout the colon. She was treated with nutritional support and corticosteroid with complete resolution of her symptoms and endoscopic findings. CCS is associated with high mortality and gastrointestinal malignancies. Clinicians should consider CCS in a patient with unexplained chronic diarrhea and ectodermal abnormalities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.373
Teacher spread0.309 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2017
Admission routes2
Has abstractyes

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