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Record W3022289903 · doi:10.1016/j.cjco.2020.04.009

Carbamazepine Induction Impacting Apixaban Concentrations: A Case Report

2020· article· en· W3022289903 on OpenAlexafffund
Tammy J. Bungard, Rene Roberts

Bibliographic record

VenueCJC Open · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects and Toxicity Studies
Canadian institutionsUniversity of Alberta
FundersPfizer Canada
KeywordsApixabanCarbamazepineInternal medicineMedicineCardiologyAtrial fibrillationPsychiatry

Abstract

fetched live from OpenAlex

Avoidance of apixaban with carbamazepine (CBZ) is recommended owing to an anticipated reduction in apixaban concentration, although this drug interaction is poorly described. We report a case wherein apixaban concentration was measured before and 2 weeks after CBZ. Apixaban concentrations were substantially reduced; hence, the dose of apixaban was doubled alongside a small increase in CBZ. Subsequent apixaban concentrations were essentially unchanged. This extent of reduction in apixaban concentration appears to be related to the dose of CBZ, with the interaction occurring over 2-4 weeks. This combination should be avoided unless apixaban concentrations can be assessed using a calibrated assay.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.167
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.111
GPT teacher head0.407
Teacher spread0.296 · 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.

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

Citations8
Published2020
Admission routes2
Has abstractyes

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