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Record W2802525277 · doi:10.1136/bcr-2017-223527

Long-lasting remission in a case of Cronkhite-Canada syndrome

2018· article· en· W2802525277 on OpenAlexaboutno aff
Maria Pina Dore, Rosanna Satta, Alberto Murino, Giovanni Mario Pes

Bibliographic record

VenueBMJ Case Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHyperpigmentationDermatologyPhysical examinationWeight lossDiseaseMedical historyPast medical historyPediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome is a rare disease characterised by diffuse gastrointestinal polyposis, diarrhoea, weight loss, skin hyperpigmentation, onychodystrophy and alopecia. More than 500 cases have been described in the medical literature so far. The disease is probably caused by immune-mediated inflammatory mechanisms, and the diagnosis is based on clinical history, physical examination, endoscopic findings and histology. Differentiating this condition from other clinical entities presenting with similar signs and symptoms may be challenging. We present here the case of a 70-year-old Sardinian man where apparently the syndrome was induced by a mental strain triggered by a work-related accident. Continuous treatment with low-dose of antidepressant, anti-inflammatory and immunosuppressive medications in addition to nutritional support was remarkably effective and resulted in sustained (longer than 8 years) disappearance of clinical manifestations as well as the persistence of physical and psychological well-being. This case argues against the poor prognosis previously ascribed to patients with this syndrome.

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)0.002
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 score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0030.002
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 head0.025
GPT teacher head0.320
Teacher spread0.295 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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