Evidence map›Paper›PMID 26214548›Full record

ArticleAIDS research and human retroviruses2015

HIV Transmission Patterns Among Immigrant Latinos Illuminated by the Integration of Phylogenetic and Migration Data.

Ann M Dennis, Stéphane Hué, Dana Pasquale, Sonia Napravnik, Joseph Sebastian, William C Miller, Joseph J Eron

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  19. HIV Transmission Dynamics Among Foreign-Born Persons in the United States.Journal of acquired immune deficiency syndromes (1999) · 2017
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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

7 authors at 2 institutions in 2 countries.

Ann M Dennis1 Division of Infectious Diseases, School of Medicine, University of North Carolina , Chapel Hill, North Carolina.
Stéphane Hué2 Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine , London, United Kingdom .
Dana Pasquale3 Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina , Chapel Hill, North Carolina.
Sonia Napravnik1 Division of Infectious Diseases, School of Medicine, University of North Carolina , Chapel Hill, North Carolina.
Joseph Sebastian4 Laboratory Corporation of America, Research Triangle Park , North Carolina.
William C Miller1 Division of Infectious Diseases, School of Medicine, University of North Carolina , Chapel Hill, North Carolina.
Joseph J Eron1 Division of Infectious Diseases, School of Medicine, University of North Carolina , Chapel Hill, North Carolina.
University of North Carolina at Chapel Hill · USLondon School of Hygiene & Tropical Medicine · GB

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
UNC Clinical Translation Science Award-K12 Scholars Program (KL2)KL2RR025746 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2008 to 2011
$9.0M
Using Phylogenetics to Elucidate HIV Transmission Patterns and Inform PreventionK08AI112432 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DENNIS, ANN · 2014 to 2017
$697k
NCRR NIH HHS 5KL2RR025746-04NIAID NIH HHS K08AI112432-02NIAID NIH HHS P30 AI050410NIAID NIH HHS P30AI50410
6 · The paper itself

Abstract

Latinos represent a growing proportion of HIV cases in North Carolina (NC). Understanding how immigrants are involved in local HIV transmission is important to guide interventions. We used phylogenetics to characterize Latino involvement in local HIV transmission chains. Transmission clusters were identified from maximum-likelihood phylogenies constructed with HIV pol sequences from 177 Latinos and 1,496 non-Latinos receiving care in NC. Highly supported clusters involving one or more Latinos were characterized. Migration data were obtained from interviews and chart review. Factors associated with cluster membership were identified using log-binomial regression. Most Latinos were male (76%), immigrants (83%), and had HIV-1B (99%). Immigrants were more likely to report heterosexual risk (67% vs. 23%) than U.S.-born Latinos (p < 0.01). We identified 32 clusters that included one or more Latinos; these involved 53 Latinos (30%) and 41 non-Latinos. Immigrant and U.S.-born Latinos were equally likely to be in clusters, but immigrants were more likely to be in clusters with another Latino (78% vs. 29%; p = 0.02). Cluster composition by ethnicity and risk behavior varied by cluster size; larger clusters contained fewer immigrants and more men who have sex with men (MSM). Factors associated with immigrant membership in local transmission clusters included age <30 years [RR 2.34 (95% CI 1.47-3.73)], Mexican origin [RR 2.55 (95% CI 1.29-6.88)], and residing in the United States longer before diagnosis [RR 1.53 (95% CI 1.09-2.15), per 10 years]. While some Latinos immigrate with HIV infection, many immigrants are involved in transmission networks after arrival, particularly MSM. HIV testing and prevention interventions must consider this heterogeneity and may be better targeted by integrating phylogenetic analyses.

Indexed as

Emigrants and ImmigrantsPhylogenyAdultCluster AnalysisCross-Sectional StudiesFemaleGenotypeHispanic or LatinoHIVHIV InfectionsHumansMaleMolecular Epidemiologypol Gene Products, Human Immunodeficiency VirusRisk-TakingSequence Analysis, DNApol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID26214548
PMCPMC4576933
OpenAlexW1877774677

What OpenQuestion holds

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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.