Evidence map›Paper›PMID 24721515›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2014

Phylogenetic and geospatial evaluation of HIV-1 subtype diversity at the largest HIV center in Rhode Island.

Philip A Chan, Marissa B Reitsma, Allison DeLong, Bruce Boucek, Amy Nunn, Marco Salemi, Rami Kantor

Open access · greenAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Non-B variants of HIV-1 in San Francisco, California.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  6. Observational
  7. Article
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  9. Early Presence of HIV-1 Subtype C in Washington, D.C.AIDS research and human retroviruses · 2018
    Article
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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 1 country.

Philip A ChanDivision of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA. Electronic address: pchan@lifespan.org.
Marissa B ReitsmaDivision of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Allison DeLongCenter for Statistical Sciences, Brown University, Providence, RI, USA.
Bruce BoucekBrown University, Providence, RI, USA.
Amy NunnDivision of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Marco SalemiDepartment of Pathology, University of Florida, Gainesville, FL, USA.
Rami KantorDivision of Infectious Diseases, Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Brown University · 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
Exploring Patterns of Concurrency Among Urban African AmericansK01AA020228 · NIAAA · MIRIAM HOSPITAL · PI NUNN, AMY STEWART · 2010 to 2014
$691k
Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
NIAAA NIH HHS K01 AA020228NIAID NIH HHS 1K23AI096923-01NIAID NIH HHS K23 AI096923NIAID NIH HHS P30 AI042853NIAID NIH HHS P30AI042853NIAID NIH HHS R01 AI066922NIAID NIH HHS R01AI66922
6 · The paper itself

Abstract

Individuals infected with HIV-1 non-B subtypes are understudied in the United States. Their characterization may augment prevention and treatment interventions. We examined the regional molecular epidemiology of non-B subtypes using a combined phylogenetic and geospatial approach. HIV-1 pol sequences and clinical data obtained for routine clinical care were aggregated from 2004 to 2011 at the largest HIV center in Rhode Island. Subtyping was performed by neighbor-joining and maximum-likelihood phylogeny and compared across eight commonly used tools (HIVdb, REGA, RIP, NCBI, Geno2Pheno, EuResist, jpHMM and STAR) using proportional odds ordinal regression. Individuals with non-B subtypes were characterized according to demographics and risk factors for infection, intra-subtype clustering by maximum-likelihood phylogeny, and geospatial hotspot analysis using Getis-Ord Gi(∗) statistics. Of 1277 unique sequences, phylogenetic subtyping demonstrated 8.3% (N=106, 95% CI 6.8-10%) non-B subtypes and circulating recombinant forms (CRFs): CRF02_AG=46; A=15; C=15; CRF01_AE=6; CRF06_CPX=5; CRF14_BG=5; G=3; CRF43_02G=3; D=3; CRF24_BG=3; CRF11_CPX=1; F1=1. Compared to phylogeny, Geno2Pheno was the most concordant (86% exact match) followed by REGA (85%), EuResist (85%) and STAR (82%). Of 106 individuals with non-B subtypes, 50% were male, 71% acquired infection through heterosexual transmission; 76%, were born in Africa, 6% Southeast Asia, 5% the United States, 3% Central America, 1% Europe, and 9% unknown. Eighty percent of CRF02_AG, 93% of A and 87% of C sequences were from African-born individuals. Twenty-two percent of non-B subtypes formed transmission clusters, including a significant number of younger individuals with perinatally-acquired infection. Geospatial analyses revealed hotspots of B and non-B subtypes in the state capital with a more concentrated focus among non-B subtypes. Molecular examination of regional HIV diversity revealed a larger than expected non-subtype B infected population, mostly born in Africa, with low ongoing regional transmission. Phylogenetic and geospatial characterization of infection clusters is helpful to identify targets for treatment and prevention interventions.

Indexed as

HIV-1HIV InfectionsSpatial AnalysisAdolescentAdultChildChild, PreschoolCluster AnalysisComputational BiologyFemaleHumansInfantInfant, NewbornMaleMiddle AgedModels, BiologicalGeographyHIVNonsubtype BPhylogeny

Identifiers

PMID24721515
PMCPMC4190103
OpenAlexW2000143280

What OpenQuestion holds

Textmetadata
LicenceTDM
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.