Evidence map›Paper›PMID 32842977›Full record

ArticleBMC infectious diseases2020

Genetic transmission networks of HIV-1 CRF07_BC strain among HIV-1 infections with virologic failure of ART in a minority area of China: a population-based study.

Dan Yuan, Meijing Liu, Yiping Li, Peng Jia, Ling Su, Li Ye, Yan Zhang, Pan Ling, Chang Zhou, Shu Liang and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Dan YuanCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Meijing LiuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Number16, Section 3, South Renmin Road, Chengdu, 610041, Sichuan, China.
Yiping LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Peng JiaInternational Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.
Ling SuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Li YeCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Yan ZhangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Pan LingCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Chang ZhouCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Shu LiangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Hong YangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China.
Honglu LiuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, China. 491543742@qq.com.
Shujuan YangInternational Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China. rekiny@126.com.ORCID http://orcid.org/0000-0002-6929-4823
Sichuan Center for Disease Control and Prevention · CNSichuan University · CNChengdu Center for Disease Control and Prevention · CNHong Kong Polytechnic University · HK

Funding

National Major Science and Technology Projects of China: Study on the assessment technology and prediction model of AIDS epidemic in China 2017ZX10201101Sichuan Science and Technology Program 2019YJ0148the National Natural Science Foundation of China 81703279
6 · The paper itself

Abstract

backgroundThe drug resistance and the virologic failure of antiretroviral therapy (ART) are quite severe in Liangshan. A better understanding of the virologic failure of ART and the HIV-1 transmission network dynamics is essential for the surveillance and prevention of HIV. Here, we analyzed the HIV-1 CRF07_BC strain genetic transmission networks and their associated factors among people living with HIV-1 (PLWH) who had virologic failure of ART by using close genetic links.

methodsThe drug-resistant mutations were determined using the Stanford University HIV Drug Resistance Database. HIV-1 pol genes sequences were used for phylogenetic and genotypic drug resistance analysis. The genetic transmission networks were performed by comparing sequences, constructing the phylogenetic tree, calculating the pairwise distance, and visualizing the network.

resultsA total of 1050 PLWH with CRF07_BC pol sequences were finally identified and included in the genetic transmission network analysis from 2016 to 2017. Of the 1050 CRF07_BC pol sequences, 346 (32.95%) fell into clusters at a genetic distance of 0.006, resulting in 137 clusters ranging in size from 2 to 40 individuals. Subjects who were widowed or divorced were less likely to form a genetic transmission network (adjusted OR: 0.50), while subjects who had shared a needle ≥ five times were more likely to form a network (adjusted OR: 1.88).

conclusionsThe genetic transmission networks revealed the complex transmission pattern, highlighting the urgent need for transmission monitoring of virologic failure of ART and selection of more effective therapeutic regimens to promote viral suppression.

Indexed as

Minority GroupsAdolescentAdultAnti-HIV AgentsChinaCross-Sectional StudiesDrug Resistance, ViralFemaleGenes, polHIV-1HIV InfectionsHumansMaleMutationPhylogenyTreatment FailureAnti-HIV AgentsAntiretroviral therapyCRF07_BCGenetic transmission networkHIV-1Virologic failure

Identifiers

PMID32842977
PMCPMC7448482
OpenAlexW3081308364

What OpenQuestion holds

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LicenceCC BY
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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.