Evidence map›Paper›PMID 26258569›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2015

Phylogenetic Investigation of a Statewide HIV-1 Epidemic Reveals Ongoing and Active Transmission Networks Among Men Who Have Sex With Men.

Philip A Chan, Joseph W Hogan, Austin Huang, Allison DeLong, Marco Salemi, Kenneth H Mayer, Rami Kantor

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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 3 institutions in 1 country.

Philip A Chan*Division of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University, Providence, RI; †Center for Statistical Sciences, Brown University School of Public Health, Providence, RI; ‡Department of Pathology, University of Florida, Gainesville, FL; and §Fenway Health, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Joseph W Hogan
Austin Huang
Allison DeLong
Marco Salemi
Kenneth H Mayer
Rami Kantor
Brown University · USBeth Israel Deaconess Medical Center · USUniversity of Florida · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
HIV-1 Drug Resistance in Different SubtypesR01AI066922 · NIAID · STANFORD UNIVERSITY · PI KANTOR, RAMI, KATZENSTEIN, DAVID ALLENBERG · 2008 to 2012
$3.6M
Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
NIAID NIH HHS 1K23AI096923NIAID NIH HHS K23 AI096923NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853NIAID NIH HHS R01 AI066922NIAID NIH HHS R01AI66922
6 · The paper itself

Abstract

backgroundMolecular epidemiological evaluation of HIV-1 transmission networks can elucidate behavioral components of transmission that can be targets for intervention.

methodsWe combined phylogenetic and statistical approaches using pol sequences from patients diagnosed between 2004 and 2011 at a large HIV center in Rhode Island, following 75% of the state's HIV population. Phylogenetic trees were constructed using maximum likelihood, and putative transmission clusters were evaluated using latent class analyses to determine association of cluster size with underlying demographic/behavioral characteristics. A logistic growth model was used to assess intracluster dynamics over time and predict "active" clusters that were more likely to harbor undiagnosed infections.

resultsOf the 1166 HIV-1 subtype B sequences, 31% were distributed among 114 statistically supported, monophyletic clusters (range: 2-15 sequences/cluster). Sequences from men who have sex with men (MSM) formed 52% of clusters. Latent class analyses demonstrated that sequences from recently diagnosed (2008-2011) MSM with primary HIV infection (PHI) and other sexually transmitted infections (STIs) were more likely to form larger clusters (odds ratio: 1.62-11.25, P < 0.01). MSM in clusters were more likely to have anonymous partners and meet partners at sex clubs and pornographic stores. Four large clusters with 38 sequences (100% male, 89% MSM) had a high probability of harboring undiagnosed infections and included younger MSM with PHI and STIs.

conclusionsIn this first large-scale molecular epidemiological investigation of HIV-1 transmission in New England, sexual networks among recently diagnosed MSM with PHI and concomitant STIs contributed to the ongoing transmission. Characterization of transmission dynamics revealed actively growing clusters, which may be targets for intervention.

Indexed as

Disease Transmission, InfectiousEpidemicsHomosexuality, MalePhylogenyAdolescentAdultAgedChildChild, PreschoolCluster AnalysisFemaleGenotypeHIV-1HIV InfectionsHumansInfantpol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID26258569
PMCPMC4624575
OpenAlexW2410149974

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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.