Evidence map›Paper›PMID 28346838›Full record

ArticleAIDS research and human retroviruses2017

Short Communication: HIV-1 Transmission Networks Across South Korea.

Mi Young Ahn, Joel O Wertheim, Woo Joo Kim, Shin-Woo Kim, Jin Soo Lee, Hea Won Ann, Yongduk Jeon, Jin Young Ahn, Je Eun Song, Dong Hyun Oh and 10 more

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Mi Young Ahn1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Joel O Wertheim2 Department of Medicine, University of California , San Diego, La Jolla, California.
Woo Joo Kim3 Department of Internal Medicine, Korea University College of Medicine , Seoul, South Korea .
Shin-Woo Kim4 Department of Internal Medicine, School of Medicine, Kyungpook National University , Daegu, South Korea .
Jin Soo Lee5 Department of Internal Medicine, Inha University School of Medicine , Incheon, South Korea .
Hea Won Ann1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Yongduk Jeon1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Jin Young Ahn1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Je Eun Song1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Dong Hyun Oh1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Yong Chan Kim1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Eun Jin Kim1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
In Young Jung1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Moo Hyun Kim1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Wooyoung Jeong1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Su Jin Jeong1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Nam Su Ku1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
June Myung Kim1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .
Davey M Smith2 Department of Medicine, University of California , San Diego, La Jolla, California.
Jun Yong Choi1 Department of Internal Medicine, Yonsei University College of Medicine , Seoul, South Korea .

Funding

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
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
Mentoring Translational Research in HIVK24AI100665 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2021
$1.5M
Public Health Implications of HIV Transmission NetworksK01AI110181 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2014 to 2018
$668k
NIAID NIH HHS K01 AI110181NIAID NIH HHS K24 AI100665NIAID NIH HHS P30 AI036214NIDA NIH HHS DP1 DA034978NIMH NIH HHS P30 MH062512
6 · The paper itself

Abstract

Molecular epidemiology can help clarify the properties and dynamics of HIV-1 transmission networks in both global and regional scales. We studied 143 HIV-1-infected individuals recruited from four medical centers of three cities in South Korea between April 2013 and May 2014. HIV-1 env V3 sequence data were generated (337-793 bp) and analyzed using a pairwise distance-based clustering approach to infer putative transmission networks. Participants whose viruses were ≤2.0% divergent according to Tamura-Nei 93 genetic distance were defined as clustering. We collected demographic, risk, and clinical data and analyzed these data in relation to clustering. Among 143 participants, we identified nine putative transmission clusters of different sizes (range 2-4 participants). The reported risk factor of participants were concordant in only one network involving two participants, that is, both individuals reported homosexual sex as their risk factor. The participants in the other eight networks did not report concordant risk factors, although they were phylogenetically linked. About half of the participants refused to report their risk factor. Overall, molecular epidemiology provides more information to understand local transmission networks and the risks associated with these networks.

Indexed as

Disease Transmission, InfectiousAdultAgedCitiesCluster AnalysisFemaleGenotyping TechniquesHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular EpidemiologyProspective StudiesRepublic of KoreaRisk FactorsHIV-1 env V3 sequenceHIV transmission networkSouth Korea

Identifiers

PMID28346838
PMCPMC5564048

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.