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Record W2902843033 · doi:10.1159/000494714

A Case Report of Cronkhite-Canada Syndrome Complicated by Membranous Nephropathy

2018· article· en· W2902843033 on OpenAlexaboutno aff
Christine Firth, Lucinda A. Harris, Maxwell L. Smith, Leslie F. Thomas

Bibliographic record

VenueCase Reports in Nephrology and Dialysis · 2018
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNephrotic syndromeProteinuriaDermatologyHyperpigmentationAzathioprineRituximabPrednisoneGastroenterologyNephropathyInternal medicineSurgeryKidneyLymphomaDisease

Abstract

fetched live from OpenAlex

Cronkhite-Canada syndrome (CCS) is a very rare disorder with less than 500 reported cases. It is characterized by extensive gastrointestinal polyposis and ectodermal anomalies including alopecia, cutaneous hyperpigmentation, and onychodystrophy. Only 3 cases of associated kidney disease (membranous nephropathy [MN]) have been reported. A 71-year-old male with CCS was referred for further evaluation of proteinuria. The patient initially presented with abdominal discomfort, weight loss, dysgeusia, skin hyperpigmentation, alopecia, and dystrophic nails. Endoscopic evaluation showed widespread gastrointestinal nodular inflammation and polyps. Histopathology was consistent with CCS. Initial treatment was with prednisone, azathioprine, and ranitidine. He had moderate clinical improvement but developed nephrotic-range proteinuria. Renal biopsy showed MN, and cyclosporine was started. The patient had significant improvement in his CCS manifestations; however, his proteinuria and renal function worsened. Rituximab was added to his regimen of cyclosporine and azathioprine, which resulted in remission of his MN, marked improvement in his polyposis, and near resolution of his cutaneous symptoms. This case represents a unique presentation of CCS associated with MN treated with rituximab. The excellent clinical response observed for both CCS and MN advocates consideration of this treatment, especially for refractory disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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 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

Citations9
Published2018
Admission routes1
Has abstractyes

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