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Record W2064581920 · doi:10.1097/rhu.0b013e318188bea7

Voriconazole-Associated Myositis

2009· article· en· W2064581920 on OpenAlexaff
Victoria K. Shanmugam, Cal Matsumoto, Edward Pien, Jessica Rosen, Princy Kumar, Sean Whelton, Virginia Steen

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsGeorgetown Hospital
Fundersnot available
KeywordsVoriconazoleAspergillosisMedicineMyositisInflammatory myopathyInternal medicineDifferential diagnosisMyopathyRhabdomyolysisGastroenterologyIntensive care medicinePathologyDermatologyAntifungalImmunology

Abstract

fetched live from OpenAlex

In Brief Voriconazole is a new triazole antifungal agent that is now the treatment of choice for invasive aspergillosis. Drug-induced myopathy has never previously been reported with voriconazole, although it is recognized with other triazole agents. We present a 34-year-old female African American renal transplant recipient, with a prior history of probable statin-induced myopathy, who developed severe generalized weakness with marked elevation of muscle enzymes and inflammatory changes on T2-weighted fat-suppressed STIR sequence magnetic resonance imaging (MRI) after commencing voriconazole for treatment of invasive aspergillosis. Her symptoms resolved and creatine kinase normalized upon stopping the drug. Given the increased use of triazoles in immunosuppressed and transplant recipients, it is important for rheumatology consultants to include this entity in their differential diagnosis of weakness in such patients. Voriconazole given for invasive aspergillosis in this renal transplant patient caused myositis that resolved with stopping the drug. Such triazole side effects can complicate the management of our immunosuppressed patients.

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)0.001
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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.424
Teacher spread0.373 · 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

Citations18
Published2009
Admission routes1
Has abstractyes

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