Evidence map›Paper›PMID 31166970›Full record

ArticlePloS one2019

Phylogenetic transmission clusters among newly diagnosed antiretroviral drug-naïve patients with human immunodeficiency virus-1 in Korea: A study from 1999 to 2012.

Yoon-Seok Chung, Ju-Yeon Choi, Myoung-Su Yoo, Jae Hyun Seong, Byeong-Sun Choi, Chun Kang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors at 1 institution in 1 country.

Yoon-Seok ChungDivision of Viral Diseases, Center for Laboratory Control and Infectious Diseases, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.ORCID 0000-0003-4562-5533
Ju-Yeon ChoiDivision of Viral Diseases, Center for Laboratory Control and Infectious Diseases, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.
Myoung-Su YooDivision of Viral Diseases Research, Center for Research of Infectious Diseases, National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.
Jae Hyun SeongDivision of Viral Diseases Research, Center for Research of Infectious Diseases, National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.
Byeong-Sun ChoiDivision of Viral Diseases Research, Center for Research of Infectious Diseases, National Institute of Health, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.
Chun KangDivision of Viral Diseases, Center for Laboratory Control and Infectious Diseases, Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea.
Korea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-level phylogenetic patterns reflect both transmission dynamics and genetic changes, which accumulate because of selection or drift. In this study, we determined whether a longitudinally sampled dataset derived from human immunodeficiency virus (HIV)-1-infected individuals over a 14-year period (1999-2012) could shed light on the transmission processes involved in the initiation of the HIV-1 epidemic in Korea. In total, 927 sequences were acquired from 1999 to 2012; each sequence was acquired from an individual patient who had not received treatment. Sequences were used for drug resistance and phylogenetic analyses. Phylogenetic and other analyses were conducted using MEGA version 6.06 based on the GTR G+I parameter model and SAS. Of the 927 samples, 863 (93.1%) were classified as subtype B and 64 were classified as other subtypes. Phylogenetic analysis demonstrated that 104 of 927 patient samples (11.2%) were grouped into 37 clusters. Being part of a transmission cluster was significantly associated with subtype-B viruses, infection via sexual contact, and the infection of young males. Of all clusters, three (~8.1%) that comprised 10 individual samples (22.2% of 45 individuals) included at least one member with total transmitted drug resistance (TDR). In summary, HIV transmission cluster analyses can integrate laboratory data with behavioral data to enable the identification of key transmission patterns to develop tailored interventions aimed at interrupting transmission chains.

Indexed as

PhylogenyAdolescentAdultAgedAged, 80 and overAnti-Retroviral AgentsChildChild, PreschoolDrug Resistance, ViralFemaleGenotypeHIV-1HIV InfectionsHomosexuality, MaleHumansInfantAnti-Retroviral Agents

Identifiers

PMID31166970
PMCPMC6550428
OpenAlexW2948095070

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.