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Record W2015832753 · doi:10.1097/coh.0b013e328331d353

Epidemiology of treatment failure: a focus on recent trends

2009· review· en· W2015832753 on OpenAlexafffund
Mark Hull, Viviane D. Lima, Robert S. Hogg, P. Richard Harrigan, Julio Montaner

Bibliographic record

VenueCurrent Opinion in HIV and AIDS · 2009
Typereview
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaAIDS Vancouver
FundersInternational AIDS SocietyCanadian Institutes of Health ResearchUniversity of Alabama at Birmingham
KeywordsMedicineIntensive care medicineAntiretroviral therapyTolerabilityDrug resistanceViral loadANTIRETROVIRAL AGENTSHuman immunodeficiency virus (HIV)ImmunologyInternal medicineAdverse effectBiology

Abstract

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PURPOSE OF REVIEW: As antiretroviral therapy has been refined with the development of more potent agents and simpler regimens, fewer individuals experience treatment failure. This review will highlight recent trends in treatment failure and virologic resistance in the developed world and resource-limited settings. RECENT FINDINGS: The goal of antiretroviral therapy in all individuals, regardless of prior treatment exposure or HIV drug resistance, is to achieve full suppression of viral replication with a viral load of less than 50 copies/ml. This goal has been made a reality by the development of newer agents and simpler, better tolerated regimens. Recent cohort studies have demonstrated improved virologic outcomes in the current antiretroviral era, with decreased rates of virologic failure and associated resistance. Improved tolerability has aided adherence, which remains a key determinant of treatment success. Cohorts in resource-limited settings report improved clinical and virologic outcomes as rollout of highly active antiretroviral therapy programs continues. SUMMARY: There has been a reassuring decrease in the frequency of virological failure and drug resistance in the modern highly active antiretroviral therapy era. This observation provides an important incentive to strengthen support of antiretroviral therapy programs to optimize virological outcomes, particularly in resource-limited settings in which access to newer agents and laboratory monitoring may be needed to ensure sustainable success.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
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 head0.164
GPT teacher head0.429
Teacher spread0.265 · 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 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

Citations15
Published2009
Admission routes2
Has abstractyes

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