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Record W2330444652 · doi:10.1097/coh.0b013e32834f9927

HIV treatment as prevention among injection drug users

2012· review· en· W2330444652 on OpenAlexaffabout
Evan Wood, Michael John Milloy, Julio Montaner

Bibliographic record

VenueCurrent Opinion in HIV and AIDS · 2012
Typereview
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversity of British ColumbiaAIDS VancouverUniversity of British Columbia HospitalSt. Paul's Hospital
FundersNational Institute on Drug Abuse
KeywordsMedicineSerodiscordantTransmission (telecommunications)Observational studyTreatment as preventionPopulationHuman immunodeficiency virus (HIV)Sexual transmissionMen who have sex with menIncidence (geometry)Viral loadPre-exposure prophylaxisImmunologyEnvironmental healthInternal medicineAntiretroviral therapySyphilis

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The use of highly active antiretroviral therapy (HAART) as a strategy to prevent the transmission of HIV infection is of substantial international interest. Injection drug users (IDUs) are an important population with respect to HIV treatment as prevention because they are often less likely to access HAART in comparison with other risk groups. RECENT FINDINGS: A recent multicentre randomized clinical trial demonstrated a 96% reduction in HIV transmission among heterosexual serodiscordant couples prescribed early HAART. Consistent with these results, independent observational studies from Baltimore and Vancouver have demonstrated that population level rates of HAART use among IDUs are associated with reduced rates of HIV incidence. In addition, impact assessments of HAART delivery to IDUs have generally demonstrated no negative effects of HAART use on rates of unsafe sex or syringe sharing. SUMMARY: HAART prevents HIV transmission because it dramatically decreases HIV-1 RNA levels in biological fluids. This is relevant to vertical and sexual HIV transmission and also to blood-borne HIV transmission, as it is often the case among IDUs. Efforts to expand HAART to IDUs should be redoubled in an effort to realize both the individual and public health benefits of HAART.

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 score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.163
GPT teacher head0.444
Teacher spread0.281 · 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

Citations62
Published2012
Admission routes2
Has abstractyes

Explore more

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