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Record W2010240001 · doi:10.1097/ftd.0b013e31823f3516

Therapeutic Drug Monitoring of Voriconazole in Children

2011· review· en· W2010240001 on OpenAlexaff
Jennifer Chen, Carol Chan, David Colantonio, Winnie Seto

Bibliographic record

VenueTherapeutic Drug Monitoring · 2011
Typereview
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsVoriconazoleAspergillosisTherapeutic drug monitoringPharmacokineticsDrugAspergillusAntifungal drugAspergillus fumigatusPharmacologyMedicineAntifungal drugsPlasma concentrationAntifungalMicrobiologyBiologyImmunology

Abstract

fetched live from OpenAlex

Voriconazole is an extended-spectrum triazole antifungal with activity against a wide variety of pathogens, including Aspergillus, Candida, Cryptococcus neoformans, Fusarium, and Scedosporium. It exerts its antifungal activity by blocking the synthesis of fungal cell membranes and is considered the first-line treatment for invasive aspergillosis. Because the pharmacokinetics of voriconazole can demonstrate considerable variability, it has been suggested that monitoring plasma levels of voriconazole may play an important role in optimizing the efficacy and safety of the drug in complex patients like those at risk of or who have invasive aspergillosis. In this article, we review the criteria for therapeutic drug monitoring and assess the evidence for using plasma voriconazole concentrations to individualize doses in children.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.352
Teacher spread0.284 · 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.

Study designObservational
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

Citations39
Published2011
Admission routes1
Has abstractyes

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