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Record W2399362497

Mycophenolate mofetil: a dermatologic perspective.

2005· article· en· W2399362497 on OpenAlexaff
Mydlarski Pr

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMycophenolateMycophenolic acidMedicinePsoriasisIMP dehydrogenaseDermatologyPharmacologyTadalafilTazaroteneClinical trialDrugInternal medicineTransplantation
DOInot available

Abstract

fetched live from OpenAlex

Introduced in the 1970s as a treatment for psoriasis, mycophenolic acid has since been reformulated as mycophenolate mofetil (MMF). With an improved side-effect profile and enhanced bioavailability, MMF is a promising drug for immune-mediated skin disease. Currently approved for the prevention of organ rejection, its list of "off-label" dermatologic indications continues to grow. As a noncompetitive inhibitor of inosine monophosphate dehydrogenase (IMPDH), MMF inhibits de novo purine synthesis. Its relative lack of hepatonephrotoxicity and seemingly low risk of carcinogenicity offer important therapeutic advantages. While case reports and case series dominate the dermatologic literature, preliminary results are sufficiently promising to warrant larger, randomized clinical trials with this emerging therapy.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.018
GPT teacher head0.243
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations29
Published2005
Admission routes1
Has abstractyes

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