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Record W2395761051

Multifocal idiopathic fibrosclerosis: treatment of 2 cases with cyclosporine.

2006· article· en· W2395761051 on OpenAlexaff
Fayez Al-Harthy, John M. Esdaile, Kenneth W. Berean, Andrew D. Chalmers

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicIgG4-Related and Inflammatory Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineRetroperitoneal fibrosisFibrosisSurgeryAbdominal painUrologyCiclosporinChemotherapyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

We describe 2 cases of multifocal idiopathic fibrosclerosis treated successfully with cyclosporine. The first patient presented with chronic abdominal pain and was subsequently found to have retroperitoneal fibrosis with ureteral obstruction. Other findings included cholangiolar fibrosis, retroorbital pseudotumors, submandibular gland enlargement, subcutaneous fibrotic masses, and elevated erythrocyte sedimentation rate (ESR) and serum creatinine. He initially responded well to temporary ureteral stenting followed by combination therapy with steroids and cyclosporine. He relapsed when cyclosporine was stopped, but subsequently remitted completely when cyclosporine was reintroduced. The second patient presented with long-standing abdominal pain with retroperitoneal fibrosis, submandibular gland enlargement, and an enlarged pancreas with a localized mass, all of which improved significantly with 6 months of therapy with cyclosporine. Cyclosporine was well tolerated with no significant side effects in the 2 patients. A review of the literature is presented.

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)0.003
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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.001
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 head0.017
GPT teacher head0.206
Teacher spread0.189 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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