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Record W4389689683 · doi:10.1097/ms9.0000000000001334

A case report of Cronkhite–Canada syndrome first encounterd at a hospital in northern Vietnam

2023· article· en· W4389689683 on OpenAlexaboutno aff
Long Cong Nguyen, Thuy Thi Thu Pham, Tung T. Nguyen, Nam Hoai Nguyen, Tuan Van Kieu, Giang Anh, Ha Thi-Ngoc Doan, Chuong V. Tran, Nhung Thi Vu

Bibliographic record

VenueAnnals of Medicine and Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeneral surgeryDermatologySurgeryPediatrics

Abstract

fetched live from OpenAlex

Introduction and importance: Cronkhite-Canada syndrome (CCS) is an extremely rare non-inherited syndrome first described in 1955 with only about 500 more cases reported so far. Since the aetiology of the disease remains unknown, there were no specific treatments in consensus. In many countries, CCS is a completely new condition that may confuse physicians at first encounter. Lessons should be learned from these cases by gastrointestinal specialists to be aware of this condition in any circumstances. Case presentation: The authors reported a case study of a 45-year-old Vietnamese male with CCS diagnosis, which encountered at our centre for the first time. Clinical discussion: The definitive diagnosis was provided by combining clinical characteristics, and endoscopic and histopathologic features, after excluding other causes of gastrointestinal polyposis. The patient responds to corticosteroids, proton pump inhibitors, and nutritional support right after treatment. After 1 year of treatment, his symptoms ameliorated completely although colon polyps insignificantly reduced. Conclusion: Gastroenterologists should always be aware of patients with CCS with the following symptoms: gastrointestinal hamartomatous polyps, diarrhoea, and the dermatologic triad of alopecia, hyperpigmentation, and onychodystrophy.

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 score0.278
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.297
Teacher spread0.247 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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