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Record W1966067024 · doi:10.1089/apc.2007.0136

Potential for New Antiretrovirals to Address Unmet Needs in the Management of HIV-1 Infection

2008· review· en· W1966067024 on OpenAlexaff
Graeme Moyle, José M. Gatell, Carlo Federico Perno, Winai Ratanasuwan, Mauro Schechter, Christos Tsoukas

Bibliographic record

VenueAIDS Patient Care and STDs · 2008
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsMcGill University Health Centre
FundersGilead SciencesMerck
KeywordsRaltegravirMaravirocMedicineEtravirineIntensive care medicineRilpivirineCCR5 receptor antagonistAntiretroviral therapyEnfuvirtideIntegrase inhibitorDosingHuman immunodeficiency virus (HIV)DolutegravirCartViral loadPharmacologyImmunologyImmune system

Abstract

fetched live from OpenAlex

Despite the myriad advances in antiretroviral therapy since the original highly active antiretroviral therapy regimens were developed, there remain numerous important and pressing unmet needs that, if addressed, would substantially improve the quality of life and longevity of HIV-infected patients. The most achievable goals of antiretroviral (ARV) therapy in the near future are likely to be continued reduction in HIV-related morbidity and mortality; improved quality of life; and restoration and preservation of immune function: all of which are most effectively achieved through sustained suppression of HIV-1 RNA. The ability to achieve long-term viral load reduction will require new ARVs with few, manageable toxicities, and medications that are convenient to adhere to, with few drug interactions. This is particularly true for the large number of highly treatment-experienced patients in whom HIV has developed resistance to one or more ARVs. Development of therapies that allow convenient dosing schedules, that do not necessitate strict adherence to meal-related timing restrictions, and that remain active in the face of resistance mutations is paramount, and remains a significant unmet need. Of the large number of ARVs currently in development, this article focuses on three agents recently approved that have shown particular promise in addressing some of these unmet needs: the novel non-nucleoside reverse transcriptase inhibitor etravirine; the CCR5 antagonist maraviroc; and the integrase inhibitor raltegravir.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.027
GPT teacher head0.310
Teacher spread0.283 · 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 designOther design
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

Citations29
Published2008
Admission routes1
Has abstractyes

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