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Record W2030703739 · doi:10.1136/ebm1305

Oral antiretroviral pre-exposure prophylaxis reduces the risk of HIV acquisition among men who have sex with men

2011· letter· en· W2030703739 on OpenAlexaff
Marie‐Claude Boily, Benoı̂t Mâsse, Dobromir Dimitrov

Bibliographic record

VenueEvidence-Based Medicine · 2011
Typeletter
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversité de Montréal
FundersNational Institute of Allergy and Infectious Diseases
KeywordsMedicineHuman immunodeficiency virus (HIV)ChemoprophylaxisAntiretroviral therapyGynecologyTreatment as preventionMicrobicideWeb of scienceInternal medicineViral loadVirology

Abstract

fetched live from OpenAlex

Commentary on: Grant RM, Lama JR, Anderson PL, et al.; iPrEx Study Team. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med 2010;363:2587–99.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Additional interventions to combat the HIV/AIDS epidemic are needed urgently. Prevention interventions using antiretroviral agents to prevent sexually acquired HIV are being studied in humans. Current evidence suggests that, by reducing viral load to undetectable level, combination antiretroviral therapy used to treat and extend the life of HIV-infected individuals may also reduce their infectivity thereby reducing the risk of transmission to their uninfected partners.1 In 2010, a topical antiretroviral-based vaginal microbicide, Tenofovir 1% gel, was shown to reduce HIV acquisition among South African women.2 The iPrEX study is the first multicentre double-blinded randomised trial evaluating the efficacy and safety of antiretroviral drugs used as oral pre-exposure prophylaxis (PrEP) to prevent HIV infections. The … [1]: {openurl}?query=rft.jtitle%253DNew%2BEngland%2BJournal%2Bof%2BMedicine%26rft.stitle%253DNEJM%26rft.issn%253D0028-4793%26rft.aulast%253DGrant%26rft.auinit1%253DR.%2BM.%26rft.volume%253D363%26rft.issue%253D27%26rft.spage%253D2587%26rft.epage%253D2599%26rft.atitle%253DPreexposure%2Bchemoprophylaxis%2Bfor%2BHIV%2Bprevention%2Bin%2Bmen%2Bwho%2Bhave%2Bsex%2Bwith%2Bmen.%26rft_id%253Dinfo%253Adoi%252F10.1056%252FNEJMoa1011205%26rft_id%253Dinfo%253Apmid%252F21091279%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1056/NEJMoa1011205&link_type=DOI [3]: /lookup/external-ref?access_num=21091279&link_type=MED&atom=%2Febmed%2F16%2F5%2F146.atom [4]: /lookup/external-ref?access_num=000285763700004&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0250.008

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 head0.029
GPT teacher head0.302
Teacher spread0.273 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Not applicable
Domainnot available
GenreCommentary

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

Citations1
Published2011
Admission routes1
Has abstractyes

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