Evidence map›Paper›PMID 29697829›Full record

ArticleThe Journal of infectious diseases2018

Molecular Analysis of Human Immunodeficiency Virus Type 1 (HIV-1)-Infected Individuals in a Network-Based Intervention (Transmission Reduction Intervention Project): Phylogenetics Identify HIV-1-Infected Individuals With Social Links.

Evangelia-Georgia Kostaki, Georgios K Nikolopoulos, Eirini Pavlitina, Leslie Williams, Gkikas Magiorkinis, John Schneider, Britt Skaathun, Ethan Morgan, Mina Psichogiou, Georgios L Daikos and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2018. 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
2.3field-weighted citation impact, top 12% 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
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  14. Network Viral Load: A Critical Metric for HIV Elimination.Journal of acquired immune deficiency syndromes (1999) · 2018
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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

17 authors at 5 institutions in 4 countries.

Evangelia-Georgia KostakiDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.
Georgios K NikolopoulosMedical School, University of Cyprus, Nicosia.
Eirini PavlitinaTransmission Reduction Intervention Project, Athens, Greece.
Leslie WilliamsNational Development and Research Institutes, New York, New York.
Gkikas MagiorkinisDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.
John SchneiderDepartments of Medicine and Public Health Sciences, University of Chicago Medical Center, Center for AIDS Elimination, Illinois.
Britt SkaathunDepartments of Medicine and Public Health Sciences, University of Chicago Medical Center, Center for AIDS Elimination, Illinois.
Ethan MorganDepartments of Medicine and Public Health Sciences, University of Chicago Medical Center, Center for AIDS Elimination, Illinois.
Mina PsichogiouLaikon General Hospital, First Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Greece.
Georgios L DaikosLaikon General Hospital, First Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Greece.
Vana SypsaDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.
Pavlo SmyrnovAlliance for Public Health, Kyiv, Ukraine.
Ania KorobchukAlliance for Public Health, Kyiv, Ukraine.
Meni MallioriMedical School, National and Kapodistrian University of Athens, Greece.
Angelos HatzakisDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.
Samuel R FriedmanNational Development and Research Institutes, New York, New York.
Dimitrios ParaskevisDepartment of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Greece.
National and Kapodistrian University of Athens · GRUniversity of Chicago Medical Center · USAlliance for Public Health · UANational Development and Research Institutes · USUniversity of Cyprus · CY

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
Preventing HIV Transmission by Recently-Infected Drug UsersDP1DA034989 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI FRIEDMAN, SAMUEL R · 2012 to 2016
$3.8M
NIAID NIH HHS T32 AI007384NIDA NIH HHS DP1 DA034989NIDA NIH HHS P30 DA011041
6 · The paper itself

Abstract

Background: The Transmission Reduction Intervention Project (TRIP) is a network-based intervention that aims at decreasing human immunodeficiency virus type 1 (HIV-1) spread. We herein explore associations between transmission links as estimated by phylogenetic analyses, and social network-based ties among persons who inject drugs (PWID) recruited in TRIP. Methods: Phylogenetic trees were inferred from HIV-1 sequences of TRIP participants. Highly supported phylogenetic clusters (transmission clusters) were those fulfilling 3 different phylogenetic confidence criteria. Social network-based ties (injecting or sexual partners, same venue engagement) were determined based on personal interviews, recruitment links, and field observation. Results: TRIP recruited 356 individuals (90.2% PWID) including HIV-negative controls; recently HIV-infected seeds; long-term HIV-infected seeds; and their social network members. Of the 150 HIV-infected participants, 118 (78.7%) were phylogenetically analyzed. Phylogenetic analyses suggested the existence of 13 transmission clusters with 32 sequences. Seven of these clusters included 14 individuals (14/32 [43.8%]) who also had social ties with at least 1 member of their cluster. This proportion was significantly higher than what was expected by chance. Conclusions: Molecular methods can identify HIV-infected people socially linked with another person in about half of the phylogenetic clusters. This could help public health efforts to locate individuals in networks with high transmission rates.

Indexed as

Disease Transmission, InfectiousGenotypeSocial NetworkingAdolescentAdultAgedAged, 80 and overCluster AnalysisDrug UsersFemaleGenotyping TechniquesHIV-1HIV InfectionsHumansMaleMiddle Aged

Identifiers

PMID29697829
PMCPMC6057507
OpenAlexW2800622933

What OpenQuestion holds

Textmetadata
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.