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Record W2794417831 · doi:10.1002/cpt.1004

Clinical Pharmacogenetics Implementation Consortium Guideline for <i>HLA</i> Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 Update

2018· article· en· W2794417831 on OpenAlexafffund
Elizabeth J. Phillips, Chonlaphat Sukasem, Michelle Whirl‐Carrillo, Daniel J. Müller, Henry M. Dunnenberger, Wasun Chantratita, Barry R. Goldspiel, Yuan‐Tsong Chen, Bruce Carleton, Alfred L. George, Taisei Mushiroda, Teri E. Klein, Roseann S. Gammal, Munir Pirmohamed

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2018
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of British ColumbiaBC Children's HospitalUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of General Medical SciencesMedical Research CouncilNational Institute for Health and Care ResearchCanadian Institutes of Health ResearchNational Institutes of HealthCanada Foundation for InnovationNational Institute of Allergy and Infectious DiseasesAustralian Centre for HIV and Hepatitis Virology Research
KeywordsOxcarbazepineCarbamazepineToxic epidermal necrolysisPharmacogeneticsMedicineGenotypeAlleleEosinophiliaPharmacologyGuidelineHuman leukocyte antigenEpilepsyImmunologyDermatologyGeneticsPsychiatryBiologyPathologyGene

Abstract

fetched live from OpenAlex

The variant allele HLA-B*15:02 is strongly associated with greater risk of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) in patients treated with carbamazepine or oxcarbazepine. The variant allele HLA-A*31:01 is associated with greater risk of maculopapular exanthema, drug reaction with eosinophilia and systemic symptoms, and SJS/TEN in patients treated with carbamazepine. We summarize evidence from the published literature supporting these associations and provide recommendations for carbamazepine and oxcarbazepine use based on HLA genotypes.

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)0.007
metaresearch head score (Gemma)0.023
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.006

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 head0.185
GPT teacher head0.521
Teacher spread0.337 · 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
GenreMethods

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

Citations302
Published2018
Admission routes2
Has abstractyes

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