Evidence map›Paper›PMID 22784872›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2012

Characterizing HIV transmission networks across the United States.

Jeannette L Aldous, Sergei Kosakovsky Pond, Art Poon, Sonia Jain, Huifang Qin, James S Kahn, Mari Kitahata, Benigno Rodriguez, Ann M Dennis, Stephen L Boswell and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

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26 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

12 authors at 7 institutions in 2 countries.

Jeannette L AldousDivision of Infectious Diseases, University of California, San Diego, 200 W Arbor Dr, MC 8208, San Diego, CA 92103, USA. jlaldous@ucsd.edu
Sergei Kosakovsky Pond
Art Poon
Sonia Jain
Huifang Qin
James S Kahn
Mari Kitahata
Benigno Rodriguez
Ann M Dennis
Stephen L Boswell
Richard Haubrich
Davey M Smith
University of California, San Diego · USAIDS Vancouver · CACase Western Reserve University · USFenway Health · USSeattle University · USUniversity of California, San Francisco · USUniversity of North Carolina at Chapel Hill · US

Funding

Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitUM1AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TIMOTHY J. WILKIN · 2012 to 2026
$50.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAVID J MOORE · 2001 to 2026
$50.4M
Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2008 to 2012
$23.1M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
UCSD Department of Medicine HIV/AIDS Clinical Trials UnitU01AI069432 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BENSON, CONSTANCE ANN · 2007 to 2011
$19.3M
Training in Sexually Transmitted Infections and HIVT32AI007001 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SENA-SOBERANO, ARLENE C. · 1985 to 2025
$10.9M
Molecular Epidemiology for HIV Prevention for Drug Users and Other Risk Groups DP1DA034978 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2016
$4.1M
A Multi-Site Investigation into the Effect of HIV Clade on Neurocognitive ImpairmR01MH083552 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2008 to 2012
$3.3M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
CIHRNCRR NIH HHS K24 RR024369NCRR NIH HHS RR024369NIAID NIH HHS 5R24AI067039NIAID NIH HHS AI043638NIAID NIH HHS AI047745NIAID NIH HHS AI077304NIAID NIH HHS AI080353NIAID NIH HHS AI36214NIAID NIH HHS AI69432NIAID NIH HHS AI74621NIAID NIH HHS K24 AI064086NIAID NIH HHS K24 AI100665NIAID NIH HHS K24AI100665NIAID NIH HHS P01 AI074621NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R21 AI047745NIAID NIH HHS R21 AI077304NIAID NIH HHS R21 AI080353NIAID NIH HHS R21 AI080397NIAID NIH HHS R21AI080397NIAID NIH HHS R24 AI067039NIAID NIH HHS R24AI067039NIAID NIH HHS R56 AI047745NIAID NIH HHS T32 AI007001NIAID NIH HHS T32 AI007001-33NIAID NIH HHS U01 AI043638NIAID NIH HHS U01 AI069432NIAID NIH HHS UM1 AI069432NIDA NIH HHS DA034978-01NIDA NIH HHS DP1 DA034978NIMH NIH HHS MH083552NIMH NIH HHS MH62512NIMH NIH HHS P30 MH062512NIMH NIH HHS R01 MH083552PHS HHS HHSN268200425213
6 · The paper itself

Abstract

backgroundClinically, human immunodeficiency virus type 1 (HIV-1) pol sequences are used to evaluate for drug resistance. These data can also be used to evaluate transmission networks and help describe factors associated with transmission risk.

methodsHIV-1 pol sequences from participants at 5 sites in the CFAR Network of Integrated Clinical Systems (CNICS) cohort from 2000-2009 were analyzed for genetic relatedness. Only the first available sequence per participant was included. Inferred transmission networks ("clusters") were defined as ≥2 sequences with ≤1.5% genetic distance. Clusters including ≥3 patients ("networks") were evaluated for clinical and demographic associations.

resultsOf 3697 sequences, 24% fell into inferred clusters: 155 clusters of 2 individuals ("dyads"), 54 clusters that included 3-14 individuals ("networks"), and 1 large cluster that included 336 individuals across all study sites. In multivariable analyses, factors associated with being in a cluster included not using antiretroviral (ARV) drugs at time of sampling (P < .001), sequence collected after 2004 (P < .001), CD4 cell count >350 cells/mL (P < .01), and viral load 10,000-100,000 copies/mL (P < .001) or >100,000 copies/mL (P < .001). In networks, women were more likely to cluster with other women (P < .001), and African Americans with other African Americans (P < .001).

conclusionsMolecular epidemiology can be applied to study HIV transmission networks in geographically and demographically diverse cohorts. Clustering was associated with lack of ARV use and higher viral load, implying transmission may be interrupted by earlier diagnosis and treatment. Observed female and African American networks reinforce the importance of diagnosis and prevention efforts targeted by sex and race.

Indexed as

AdultCD4 Lymphocyte CountCluster AnalysisFemaleGenes, polHIV-1HIV InfectionsHumansMaleMolecular EpidemiologyMultivariate AnalysisRisk FactorsUnited StatesViral Load

Identifiers

PMID22784872
PMCPMC3529609
OpenAlexW2164842493

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.