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Record W2624896674 · doi:10.3748/wjg.v23.i22.4121

Application of novel magnified single balloon enteroscopy for a patient with Cronkhite-Canada syndrome

2017· article· en· W2624896674 on OpenAlexaboutno aff
Masaki Murata, Shigeki Bamba, Kenichiro Takahashi, Hirotsugu Imaeda, Atsushi Nishida, Osamu Inatomi, Tomoyuki Tsujikawa, Ryoji Kushima, Mitsushige Sugimoto, Akira Andoh

Bibliographic record

VenueWorld Journal of Gastroenterology · 2017
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsEsophagogastroduodenoscopyMedicineEnteroscopyCapsule endoscopyLymphangiectasiaColonoscopyPolypectomyHypoalbuminemiaDiarrheaAnemiaEndoscopyGastroenterologyRadiologyPathologyInternal medicineCancerColorectal cancer

Abstract

fetched live from OpenAlex

We present a case of Cronkhite-Canada syndrome (CCS) in which the entire intestine was observed using a prototype of magnifying single-balloon enteroscope (SIF Y-0007, Olympus). CCS is a rare, non-familial gastrointestinal polyposis with ectodermal abnormalities. To our knowledge, this is the first report showing magnified intestinal lesions of CCS. A 73-year-old female visited our hospital with complaints of diarrhea and dysgeusia. The blood test showed mild anemia and hypoalbuminemia. The esophagogastroduodenoscopy and colonoscopy revealed diffuse and reddened sessile to semi-pedunculated polyps, resulting in the diagnosis of CCS. In addition to the findings of conventional balloon-assisted enteroscopy or capsule endoscopy, magnifying observation revealed tiny granular structures, non-uniformity of the villus, irregular caliber of the loop-like capillaries, scattered white spots in the villous tip, and patchy redness of the villus. Histologically, the scattered white spots and patchy redness of the villus reflect lymphangiectasia and bleeding to interstitium, respectively.

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 score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.251
Teacher spread0.237 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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