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Record W2062233777 · doi:10.2147/hiv.s32377

Combination therapies, effectiveness, and adherence in patients with HIV infection: clinical utility of a single tablet of emtricitabine, rilpivirine, and tenofovir

2013· article· en· W2062233777 on OpenAlexaff
Mark A. Wainberg

Bibliographic record

VenueHIV/AIDS - Research and Palliative Care · 2013
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsRilpivirineEmtricitabineTenofovirMedicineHuman immunodeficiency virus (HIV)VirologyAntiretroviral therapyViral load

Abstract

fetched live from OpenAlex

A recent addition to the anti-human immunodeficiency virus armamentarium of drugs is rilpivirine, which is a potent non-nucleoside reverse transcriptase inhibitor. This review focuses on the clinical utility of rilpivirine in terms of efficacy and virologic suppression, drug resistance, drug-drug interactions, and safety. The rilpivirine-tenofovir-emtricitabine combination is a safe and effective regimen for use in most patients who are ready to start first-line anti-human immunodeficiency virus therapy. Although drug resistance can be a problem in patients who initiate therapy on rilpivirine-based regimens with viral loads > 100,000 copies of viral RNA/mL, this problem can be alleviated by first starting therapy with efavirenz-tenofovir-emtricitabine for several months to suppress viral load to <50 copies/mL before switching to rilpivirine-based therapy. E138K is the most important mutation associated with resistance against rilpivirine and its development must be avoided whenever possible, because this mutation confers broad cross-resistance against all approved members of the non-nucleoside reverse transcriptase inhibitor family of drugs.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.052
GPT teacher head0.349
Teacher spread0.297 · 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 designObservational
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

Citations16
Published2013
Admission routes1
Has abstractyes

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