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Record W2305930483 · doi:10.1136/bcr-2015-213465

Difficult case of Cronkhite-Canada syndrome with small intestinal bacterial overgrowth,<i>Clostridium difficile</i>infection and polymyalgia rheumatica

2016· article· en· W2305930483 on OpenAlexaboutno aff
Stefan Traussnigg, Werner Dolak, Michael Trauner, Lili Kazemi-Shirazi

Bibliographic record

VenueBMJ Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePolymyalgia rheumaticaMalabsorptionSmall intestinal bacterial overgrowthPathognomonicInternal medicineGastroenterologyClostridium difficileRare diseaseDermatologyDiarrheaDiseaseIrritable bowel syndromeAntibiotics

Abstract

fetched live from OpenAlex

A 64-year-old woman presented with heavy diarrhoea, nausea and weight loss accompanied by alopecia and dystrophic fingernails and toenails. The preceding diagnosis of an inflammatory bowel disease, a common pitfall, was excluded by endoscopic work up. Instead, Cronkhite-Canada syndrome (CCS), a rare polyposis condition, was identified as the reason for this almost pathognomonic combination of diagnostic findings including various polyps throughout the entire intestine and ectodermal abnormalities. This case exemplifies common risks and complications in terms of gastrointestinal malabsorption, infections and small intestinal bacterial overgrowth (SIBO), including its treatment as well as a hereto unreported association with polymyalgia rheumatica. In CCS, long-term immunosuppressive therapy and close endoscopic cancer screening of the patient is essential. The treatment of vitamin deficiency and recurring SIBO helps to reduce symptoms.

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)0.004
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.237
Teacher spread0.224 · 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
Published2016
Admission routes1
Has abstractyes

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