Evidence map›Paper›PMID 24901437›Full record

ArticlePloS one2014

Using HIV networks to inform real time prevention interventions.

Susan J Little, Sergei L Kosakovsky Pond, Christy M Anderson, Jason A Young, Joel O Wertheim, Sanjay R Mehta, Susanne May, Davey M Smith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
8.4field-weighted citation impact, top 2% 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

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 189 citations in OpenAlex.

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68 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

8 authors at 3 institutions in 1 country.

Susan J LittleDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Sergei L Kosakovsky PondDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Christy M AndersonDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Jason A YoungDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Joel O WertheimDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Sanjay R MehtaDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Susanne MayDepartment of Biostatistics, University of Washington, Seattle, Washington, United States of America.
Davey M SmithDepartment of Medicine, University of California, San Diego, La Jolla, California, United States of America; Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America.
University of California, San Diego · USUniversity of Washington · USVA San Diego Healthcare System · 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 SUSAN JANET LITTLE · 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 Jessica Lynette Montoya · 2001 to 2026
$50.4M
Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SPINA, CELSA A · 2011 to 2015
$39.5M
Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STRATHDEE, STEFFANIE A. · 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
Viral correlates of neutralizing antibody responseU19AI090970 · NIAID · INTERNATIONAL AIDS VACCINE INITIATIVE · PI CROTTY, SHANE P · 2010 to 2014
$9.3M
The Universidade Eduardo Mondlane/UCSD Medical Education PartnershipR24TW008908 · FIC · EDUARDO MONDLANE UNIVERSITY · PI NOORMAHOMED, EMILIA VIRGINIA · 2010 to 2015
$9.0M
Integrated System for Rapid Detection of Respiratory PathogensR01AI096189 · NIAID · MBIO DIAGNOSTICS, INC. · PI LOCHHEAD, MICHAEL J · 2011 to 2015
$4.9M
FIC NIH HHS R24 TW008908FIC NIH HHS TW008908NIAID NIH HHS AI067039NIAID NIH HHS AI080353NIAID NIH HHS AI090970NIAID NIH HHS AI093163NIAID NIH HHS AI096113NIAID NIH HHS AI097061NIAID NIH HHS AI100665NIAID NIH HHS AI106039NIAID NIH HHS AI36214NIAID NIH HHS AI43638NIAID NIH HHS AI47745NIAID NIH HHS AI69432NIAID NIH HHS AI74621NIAID NIH HHS AI96189NIAID NIH HHS K01 AI110181NIAID NIH HHS K23 AI093163NIAID NIH HHS K24 AI100665NIAID NIH HHS P01 AI074621NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI047745NIAID NIH HHS R01 AI096189NIAID NIH HHS R21 AI047745NIAID NIH HHS R21 AI080353NIAID NIH HHS R21 AI097061NIAID NIH HHS R24 AI067039NIAID NIH HHS R24 AI106039NIAID NIH HHS R56 AI047745NIAID NIH HHS U01 AI043638NIAID NIH HHS U01 AI069432NIAID NIH HHS U19 AI090970NIAID NIH HHS U19 AI096113NIAID NIH HHS UM1 AI069432NIDA NIH HHS DA034978NIDA NIH HHS DP1 DA034978NIGMS NIH HHS GM093939NIGMS NIH HHS R01 GM093939NIMH NIH HHS MH083552NIMH NIH HHS MH097520NIMH NIH HHS MH62512NIMH NIH HHS P30 MH062512NIMH NIH HHS R01 MH083552NIMH NIH HHS R01 MH097520NIMH NIH HHS R01 MH100974
6 · The paper itself

Abstract

objectiveTo reconstruct the local HIV-1 transmission network from 1996 to 2011 and use network data to evaluate and guide efforts to interrupt transmission.

designHIV-1 pol sequence data were analyzed to infer the local transmission network.

methodsWe analyzed HIV-1 pol sequence data to infer a partial local transmission network among 478 recently HIV-1 infected persons and 170 of their sexual and social contacts in San Diego, California. A transmission network score (TNS) was developed to estimate the risk of HIV transmission from a newly diagnosed individual to a new partner and target prevention interventions.

resultsHIV-1 pol sequences from 339 individuals (52.3%) were highly similar to sequences from at least one other participant (i.e., clustered). A high TNS (top 25%) was significantly correlated with baseline risk behaviors (number of unique sexual partners and insertive unprotected anal intercourse (p = 0.014 and p = 0.0455, respectively) and predicted risk of transmission (p<0.0001). Retrospective analysis of antiretroviral therapy (ART) use, and simulations of ART targeted to individuals with the highest TNS, showed significantly reduced network level HIV transmission (p<0.05).

conclusionsSequence data from an HIV-1 screening program focused on recently infected persons and their social and sexual contacts enabled the characterization of a highly connected transmission network. The network-based risk score (TNS) was highly correlated with transmission risk behaviors and outcomes, and can be used identify and target effective prevention interventions, like ART, to those at a greater risk for HIV-1 transmission.

Indexed as

HIV-1AdultCaliforniaCluster AnalysisFemaleHIV InfectionsHumansMaleMass ScreeningMiddle Agedpol Gene Products, Human Immunodeficiency VirusPopulation SurveillanceSequence Analysis, DNASexual BehaviorSexual PartnersYoung Adultpol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID24901437
PMCPMC4047027
OpenAlexW2087120817

What OpenQuestion holds

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Registered trials

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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.