MétaCan
Menu
Back to cohort
Record W3206763143 · doi:10.52768/2766-7820/1152

Cronkhite-Canada syndrome with hypothyroidism: Clinical, endoscopic and pathologic pitfalls

2021· article· en· W3206763143 on OpenAlexaboutno aff
Dapeng Wang, Christopher McPhaul, Debby Rampisela

Bibliographic record

VenueJournal of Clinical Images and Medical Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsnot available
FundersCleveland Clinic
KeywordsMedicineEtiologyGastric antral vascular ectasiaAbdominal painNauseaEnteropathyDiarrheaEndoscopyBiopsyInternal medicineSurgeryDermatologyGastroenterologyDiseaseArgon plasma coagulation

Abstract

fetched live from OpenAlex

Cronkhite-Canada Syndrome (CCS) is a rare non-hereditary protein-losing enteropathy, and characterized by ectodermal and gastrointestinal abnormalities. The etiology remains unclear, however, some studies suggest the likelihood of immune dysregulation. The diagnosis of CCS is challenging because the clinical symptoms are non-specific and the endoscopic and pathologic findings can overlap with other processes. This can potentially lead to delay in diagnosis, resulting in delayed patient management. We reported a 74-year-old male presented with initial symptoms of abdominal pain and nausea, and later with diarrhea, weight loss, hypothyroidism and multiple strokes. Gastric Antral Vascular Ectasia (GAVE) was suspected on the initial endoscopy. The diagnosis of CCS was rendered on the third biopsy. After steroid treatment, the patient’s clinical symptoms were relieved. In this paper, we discussed the clinical, endoscopic and pathologic pitfalls of CCS.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0050.003
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 head0.035
GPT teacher head0.363
Teacher spread0.328 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Images and Medical Case ReportsSame topicGastrointestinal disorders and treatmentsFrench-language works237,207