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Record W2789833340 · doi:10.1177/2325957417752260

Combination Therapy with Tenofovir Disoproxil Fumarate/Emtricitabine/Elvitegravir/Cobicistat Plus Darunavir Once Daily in Antiretroviral-Naive and Treatment-Experienced Patients: A Retrospective Review

2018· review· en· W2789833340 on OpenAlexaff
Mark Naccarato, Deborah Yoong, I. W. Fong, Kevin Gough, Marian A. Ostrowski, Darrell H. S. Tan

Bibliographic record

VenueJournal of the International Association of Providers of AIDS Care (JIAPAC) · 2018
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsElvitegravirDarunavirCobicistatEmtricitabineMedicineTenofovirAntiretroviral therapyRitonavirHuman immunodeficiency virus (HIV)PharmacologyInternal medicineVirologyViral load

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with drug-resistant HIV often require complex antiretroviral regimens. However, combining fixed-dose combination tablets such as tenofovir-disoproxil-fumarate, emtricitabine, and cobicistat-boosted elvitegravir (TDF/FTC/EVG/cobi) with darunavir (DRV) can provide a simple, once-daily (QD), 2-tablet regimen for patients with drug-resistant HIV. Primary objective was to determine the percentage of patients with HIV-1 RNA <40 copies/mL at 48 weeks. METHODS: We performed a retrospective chart review of patients initiated on TDF/FTC/EVG/cobi plus DRV. RESULTS: Among the 21 included patients, prior resistance showed a median of 2 nucleoside reverse transcriptase inhibitor mutations, 1 nonnucleoside reverse transcriptase mutation, and 1 protease inhibitor mutation. At week 48, 14 (67%) patients achieved HIV-1 RNA <40 copies/mL, 1 patient experienced viral rebound, and 6 (29%) had missing data or discontinued therapy. No patient discontinued for adverse events. CONCLUSION: According to this observational study, QD TDF/FTC/EVG/cobi plus DRV is considered safe, well tolerated, and generally effective in suppressing HIV drug-resistant virus.

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)0.001
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 score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.293
Teacher spread0.279 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the International Association of Providers of AIDS Care (JIAPAC)Same topicHIV/AIDS drug development and treatmentFrench-language works237,207