Evidence map›Paper›PMID 23079807›Full record

ArticleAIDS (London, England)2013

High HIV incidence and prevalence and associated factors among young MSM, 2008.

Alexandra B Balaji, Kristina E Bowles, Binh C Le, Gabriela Paz-Bailey, Alexandra M Oster, NHBS Study Group

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 pooled it
6.1field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 5 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Bias Adjustment Techniques Are Underutilized in HIV Sexual Risk Estimation: A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Article
  12. Article
  13. Article
  14. Brief Report: HIV Incidence Among People Who Inject Drugs, San Francisco, 2022.Journal of acquired immune deficiency syndromes (1999) · 2025
    Article
  15. Article
  16. Article
  17. Condom stigma among men who have sex with men population: Concept synthesis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Alexandra B BalajiCenters for Disease Control and Prevention, Atlanta, Georgia 30333, USA. dvi7@cdc.gov
Kristina E Bowles
Binh C Le
Gabriela Paz-Bailey
Alexandra M Oster
NHBS Study Group
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveTo estimate HIV prevalence, annual HIV incidence density, and factors associated with HIV infection among young MSM in the United States.

designThe 2008 National HIV Behavioral Surveillance System (NHBS), a cross-sectional survey conducted in 21 US cities.

methodsNHBS respondents included in the analysis were MSM aged 18-24 with a valid HIV test who reported at least one male sex partner in the past year. We calculated HIV prevalence and estimated annual incidence density (number of HIV infections/total number of person-years at risk). Generalized estimating equations were used to determine factors associated with testing positive for HIV.

resultsOf 1889 young MSM, 198 (10%) had a positive HIV test; of these, 136 (69%) did not report previously testing HIV positive when interviewed. Estimated annual HIV incidence density was 2.9%; incidence was highest for blacks. Among young MSM who did not report being HIV infected, factors associated with testing HIV positive included black race; less than high school education; using both alcohol and drugs before or during last sex; having an HIV test more than 12 months ago; and reporting a visit to a medical provider in the past year.

conclusionHIV prevalence and estimated incidence density for young MSM were high. Individual risk behaviors did not fully explain HIV risk, emphasizing the need to address sociodemographic and structural-level factors in public health interventions targeted toward young MSM.

Indexed as

AdolescentHIV InfectionsHIV SeropositivityHomosexuality, MaleHumansIncidenceMalePrevalenceRisk FactorsRisk-TakingSexual PartnersUnited StatesYoung Adult

Identifiers

PMID23079807
PMCPMC5098328
OpenAlexW2320419743

What OpenQuestion holds

Textmetadata
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.