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Record W2029661837 · doi:10.4212/cjhp.v66i2.1235

Venous Thromboembolism Due to Suspected Interaction Between Nevirapine and Rivaroxaban

2013· article· en· W2029661837 on OpenAlexaffvenue
Duane Bates, Bruce Dalton, Janet Gilmour, Jeff Kapler

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsAlberta Health ServicesFoothills Medical Centre
Fundersnot available
KeywordsRivaroxabanNevirapineMedicineVenous thromboembolismIntensive care medicineWarfarinInternal medicineHuman immunodeficiency virus (HIV)ThrombosisAntiretroviral therapyVirologyAtrial fibrillation

Abstract

fetched live from OpenAlex

Rivaroxaban is a selective, reversible inhibitor of factor Xa that is used for the prevention and treatment of venous thromboembolism (VTE) and for the prevention of stroke in patients with atrial fibrillation. Nevirapine is a non-nucleoside reverse transcriptase inhibitor that is generally given in com bination with 2 nucleoside reverse transcriptase inhibitors to suppress HIV in infected individuals. Both medications are metabolized in the liver through the cytochrome (CYP) P450 pathway. Nevirapine is also an enzyme inducer that may increase the clearance of rivaroxaban. There is a lack of information about drug interactions involving rivaroxaban after total joint replacement surgery. We report a case of VTE after total knee replacement that may have been due to an interaction between rivaroxaban and nevirapine.

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)0.004
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.004
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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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

Citations26
Published2013
Admission routes2
Has abstractyes

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