Evidence map›Paper›PMID 27195800›Full record

ArticlePloS one2016

Identifying Risk Factors for Recent HIV Infection in Kenya Using a Recent Infection Testing Algorithm: Results from a Nationally Representative Population-Based Survey.

Andrea A Kim, Bharat S Parekh, Mamo Umuro, Tura Galgalo, Rebecca Bunnell, Ernest Makokha, Trudy Dobbs, Patrick Murithi, Nicholas Muraguri, Kevin M De Cock and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  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

12 authors at 4 institutions in 2 countries.

Andrea A KimUS Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya.
Bharat S ParekhUS CDC, CGH, DGHT, Atlanta, Georgia, United States of America.
Mamo UmuroKenya Ministry of Health, National Public Health Laboratory Services, Nairobi, Kenya.
Tura GalgaloKenya Ministry of Health, National Public Health Laboratory Services, Nairobi, Kenya.
Rebecca BunnellUS Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya.
Ernest MakokhaUS Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya.
Trudy DobbsUS CDC, CGH, DGHT, Atlanta, Georgia, United States of America.
Patrick MurithiKenya Ministry of Health, National AIDS Control Council, Nairobi, Kenya.
Nicholas MuraguriKenya Ministry of Health, National AIDS and STI Control Programme, Nairobi, Kenya.
Kevin M De CockUS CDC, CGH, Nairobi, Kenya.
Jonathan MerminUS CDC, CGH, Nairobi, Kenya.
2007 KAIS study group
Centers for Disease Control and Prevention · KEMinistry of Health · KECDC Foundation · USNational Aids Control Council · KE

Funding

PEPFAR
6 · The paper itself

Abstract

introductionA recent infection testing algorithm (RITA) that can distinguish recent from long-standing HIV infection can be applied to nationally representative population-based surveys to characterize and identify risk factors for recent infection in a country. MATERIALS AND

methodsWe applied a RITA using the Limiting Antigen Avidity Enzyme Immunoassay (LAg) on stored HIV-positive samples from the 2007 Kenya AIDS Indicator Survey. The case definition for recent infection included testing recent on LAg and having no evidence of antiretroviral therapy use. Multivariate analysis was conducted to determine factors associated with recent and long-standing infection compared to HIV-uninfected persons. All estimates were weighted to adjust for sampling probability and nonresponse.

resultsOf 1,025 HIV-antibody-positive specimens, 64 (6.2%) met the case definition for recent infection and 961 (93.8%) met the case definition for long-standing infection. Compared to HIV-uninfected individuals, factors associated with higher adjusted odds of recent infection were living in Nairobi (adjusted odds ratio [AOR] 11.37; confidence interval [CI] 2.64-48.87) and Nyanza (AOR 4.55; CI 1.39-14.89) provinces compared to Western province; being widowed (AOR 8.04; CI 1.42-45.50) or currently married (AOR 6.42; CI 1.55-26.58) compared to being never married; having had ≥ 2 sexual partners in the last year (AOR 2.86; CI 1.51-5.41); not using a condom at last sex in the past year (AOR 1.61; CI 1.34-1.93); reporting a sexually transmitted infection (STI) diagnosis or symptoms of STI in the past year (AOR 1.97; CI 1.05-8.37); and being aged <30 years with: 1) HSV-2 infection (AOR 8.84; CI 2.62-29.85), 2) male genital ulcer disease (AOR 8.70; CI 2.36-32.08), or 3) lack of male circumcision (AOR 17.83; CI 2.19-144.90). Compared to HIV-uninfected persons, factors associated with higher adjusted odds of long-standing infection included living in Coast (AOR 1.55; CI 1.04-2.32) and Nyanza (AOR 2.33; CI 1.67-3.25) provinces compared to Western province; being separated/divorced (AOR 1.87; CI 1.16-3.01) or widowed (AOR 2.83; CI 1.78-4.45) compared to being never married; having ever used a condom (AOR 1.61; CI 1.34-1.93); and having a STI diagnosis or symptoms of STI in the past year (AOR 1.89; CI 1.20-2.97). Factors associated with lower adjusted odds of long-standing infection included using a condom at last sex in the past year (AOR 0.47; CI 0.36-0.61), having no HSV2-infection at aged <30 years (AOR 0.38; CI 0.20-0.75) or being an uncircumcised male aged <30 years (AOR 0.30; CI 0.15-0.61).

conclusionWe identified factors associated with increased risk of recent and longstanding HIV infection using a RITA applied to blood specimens collected in a nationally representative survey. Though some false-recent cases may have been present in our sample, the correlates of recent infection identified were epidemiologically and biologically plausible. These methods can be used as a model for other countries with similar epidemics to inform targeted combination prevention strategies aimed to drastically decrease new infections in the population.

Indexed as

AdolescentAdultAntibody AffinityAnti-Retroviral AgentsCircumcision, MaleCondomsFemaleHealth Knowledge, Attitudes, PracticeHealth SurveysHIV AntibodiesHIV InfectionsHumansImmunoassayKenyaMaleMiddle AgedAnti-Retroviral AgentsHIV Antibodies

Identifiers

PMID27195800
PMCPMC4873043
OpenAlexW2400727119

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.