Evidence map›Paper›PMID 22802739›Full record

ReviewPLoS medicine2012

HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.

HIV Modelling Consortium Treatment as Prevention Editorial Writing Group

Open access · goldAbstract readReview
In one paragraph

Review in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 72 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. A Game Theoretic Analysis of Competition Between Vaccine and Drug Companies during Disease Contraction and Recovery.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

HIV Modelling Consortium Treatment as Prevention Editorial Writing Grouptimothy.hallett@imperial.ac.uk

Funding

Modeling different strategies to reduce the public health impact of the HCV/HIV eR03DA033851 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI LIMA, VIVIANE DIAS · 2012 to 2013
$55k
Medical Research Council MR/J005088/1NIDA NIH HHS R03 DA033851Wellcome Trust 097410
6 · The paper itself

Abstract

Antiretroviral therapy (ART) for those infected with HIV can prevent onward transmission of infection, but biological efficacy alone is not enough to guide policy decisions about the role of ART in reducing HIV incidence. Epidemiology, economics, demography, statistics, biology, and mathematical modelling will be central in framing key decisions in the optimal use of ART. PLoS Medicine, with the HIV Modelling Consortium, has commissioned a set of articles that examine different aspects of HIV treatment as prevention with a forward-looking research agenda. Interlocking themes across these articles are discussed in this introduction. We hope that this article, and others in the collection, will provide a foundation upon which greater collaborations between disciplines will be formed, and will afford deeper insights into the key factors involved, to help strengthen the support for evidence-based decision-making in HIV prevention.

Indexed as

Decision MakingModels, BiologicalAntiretroviral Therapy, Highly ActiveClinical Trials as TopicEvidence-Based MedicineHIV InfectionsHumans

Identifiers

PMID22802739
PMCPMC3393655
OpenAlexW2153356886

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.