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Record W2243469158 · doi:10.6557/gjt.200612_23(4).0006

Cronkhite-Canada Syndrome Associated with Gastric Carcinoid Tumor: Report of a Case

2006· article· en· W2243469158 on OpenAlexaboutno aff
Yingying Yang, Ming‐Chih Hou, Fen-Yau Li, Han-Chieh Lin, Fa‐Yauh Lee, Full‐Young Chang, Shou‐Dong Lee

Bibliographic record

Venue臺灣消化醫學雜誌 · 2006
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineStomachColonoscopyAchlorhydriaAbdominal painGastric PolypCarcinoid syndromePathologyCancerColorectal cancer

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome associated with gastric carcinoid tumor is very rare. We report a 76-year-old male presented with the chief complaints of epigastric pain and abdominal distention. His abnormal physical findings included alopecia, splitting of nail bed and generalized hyperpigmentation. Both upper gastrointestinal endoscopy and small intestinal series revealed multiple polypoid lesions in the stomach and the small intestine. In addition, a submucosal mass was also noted over the antrum. The histopathologic diagnosis of his gastric polyps was inflammatory polyps. Nervertheless, his gastric submucosal lesion was proved to be a carcinoid tumor. In addition, several sessile polyps were also found by colonoscopy. Although high serum level of gastrin-17, other special endocrine studies including levels of 24-hours urinary 5-HIAA excretion, plasma metanephrines, catecholamines, vanillylmandelic acid were all within normal limits. Surgical intervention was suggested, but he refused and was lost to follow-up for two years. Finally, he died from aspiration pneumonia with multiple organ failure due to protein-losing enteropathy and severe malnutrition.

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)0.005
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.008
GPT teacher head0.209
Teacher spread0.201 · 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
Published2006
Admission routes1
Has abstractyes

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