Evidence map›Paper›PMID 28222757›Full record

ArticleRetrovirology2017

Spatiotemporal dynamics of HIV-1 transmission in France (1999-2014) and impact of targeted prevention strategies.

Antoine Chaillon, Asma Essat, Pierre Frange, Davey M Smith, Constance Delaugerre, Francis Barin, Jade Ghosn, Gilles Pialoux, Olivier Robineau, Christine Rouzioux and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Retrovirology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

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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

14 authors.

Antoine ChaillonUniversity of California, San Diego, 9500 Gilman Drive, Stein Clinical Research Building #325, La Jolla, CA, 92093-0697, USA. achaillon@ucsd.edu.
Asma EssatINSERM CESP U1018, University Paris Sud, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Le Kremlin-Bicêtre, France.
Pierre FrangeEA7327, Université Paris Descartes, Paris, France.
Davey M SmithUniversity of California, San Diego, 9500 Gilman Drive, Stein Clinical Research Building #325, La Jolla, CA, 92093-0697, USA.
Constance DelaugerreINSERM U941, Laboratoire de Virologie, Université Paris Diderot, Hôpital Saint-Louis, AP-HP, CNR VIH associé Primo infection, Paris, France.
Francis BarinINSERM U966 and National Reference Center for HIV, CHU Bretonneau and Université François Rabelais, Tours, France.
Jade GhosnEA7327, Université Paris Descartes, Paris, France.
Gilles PialouxService des Maladies Infectieuses et Tropicales, Hôpital Tenon, APHP, Paris, France.
Olivier RobineauService Universitaire des Maladies infectieuses et du Voyageur, Centre Hospitalier de Tourcoing, Tourcoing, France.
Christine RouziouxEA7327, Université Paris Descartes, Paris, France.
Cécile GoujardINSERM CESP U1018, University Paris Sud, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Le Kremlin-Bicêtre, France.
Laurence MeyerINSERM CESP U1018, University Paris Sud, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Le Kremlin-Bicêtre, France.
Marie-Laure ChaixINSERM U941, Laboratoire de Virologie, Université Paris Diderot, Hôpital Saint-Louis, AP-HP, CNR VIH associé Primo infection, Paris, France.
on behalf the ANRS PRIMO Cohort Study

Funding

Leadership and Operations Center (LOC), AIDS Clinical Trials Group (ACTG); LOC 1/UM1AI068636 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph J Eron, RAJESH T GANDHI · 2011 to 2026
$1073.1M
AIDS Clinical Trials Group NetworkU01AI068636 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI KURITZKES, DANIEL R. · 2006 to 2010
$147.1M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAVID J MOORE · 2001 to 2026
$50.4M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
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
High-throughput Deep Sequencing Assay to Reliably Measure the HIV Reservoir during Antiretroviral TherapyR01AI120009 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2015 to 2019
$3.4M
Effects of Host and Viral Aging on NeurocognitionR01MH097520 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2016
$2.0M
Mentoring Translational Research in HIVK24AI100665 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2021
$1.5M
Intrahost HIV population dynamics in CNS and other tissuesR01MH101012 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELLIS, RONALD J. · 2013 to 2015
$1.2M
Characterizing proviral populations in brain tissuesR21DA041007 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2015 to 2017
$1.2M
NIAID NIH HHS K23 AI093163NIAID NIH HHS K24 AI100665NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI036214NIAID NIH HHS R01 AI120009NIAID NIH HHS U01 AI068636NIAID NIH HHS UM1 AI068636NIDA NIH HHS DP1 DA034978NIDA NIH HHS R21 DA041007NIMH NIH HHS R01 MH097520NIMH NIH HHS R01 MH101012NIMH NIH HHS R25 MH081482
6 · The paper itself

Abstract

backgroundCharacterizing HIV-1 transmission networks can be important in understanding the evolutionary patterns and geospatial spread of the epidemic. We reconstructed the broad molecular epidemiology of HIV from individuals with primary HIV-1 infection (PHI) enrolled in France in the ANRS PRIMO C06 cohort over 15 years.

resultsSociodemographic, geographic, clinical, biological and pol sequence data from 1356 patients were collected between 1999 and 2014. Network analysis was performed to infer genetic relationships, i.e. clusters of transmission, between HIV-1 sequences. Bayesian coalescent-based methods were used to examine the temporal and spatial dynamics of identified clusters from different regions in France. We also evaluated the use of network information to target prevention efforts. Participants were mostly Caucasian (85.9%) and men (86.7%) who reported sex with men (MSM, 71.4%). Overall, 387 individuals (28.5%) were involved in clusters: 156 patients (11.5%) in 78 dyads and 231 participants (17%) in 42 larger clusters (median size: 4, range 3-41). Compared to individuals with single PHI (n = 969), those in clusters were more frequently men (95.9 vs 83%, p < 0.01), MSM (85.8 vs 65.6%, p < 0.01) and infected with CRF02_AG (20.4 vs 13.4%, p < 0.01). Reconstruction of viral migrations across time suggests that Paris area was the major hub of dissemination of both subtype B and CRF02_AG epidemics. By targeting clustering individuals belonging to the identified active transmission network before 2010, 60 of the 143 onward transmissions could have been prevented.

conclusionThese analyses support the hypothesis of a recent and rapid rise of CRF02_AG within the French HIV-1 epidemic among MSM. Combined with a short turnaround time for sample processing, targeting prevention efforts based on phylogenetic monitoring may be an efficient way to deliver prevention interventions but would require near real time targeted interventions on the identified index cases and their partners.

Indexed as

GenotypeMolecular EpidemiologyAdolescentAdultAgedCluster AnalysisFemaleFranceHIV-1HIV InfectionsHumansMaleMiddle Agedpol Gene Products, Human Immunodeficiency VirusSequence Analysis, DNASpatio-Temporal Analysispol Gene Products, Human Immunodeficiency VirusHIV-1PhylogeographyPrimary infectionTransmission networkTreatment as prevention

Identifiers

PMID28222757
PMCPMC5322782

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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.