Evidence map›Paper›PMID 30795762›Full record

ArticleBMC infectious diseases2019

Rapid and complicated HIV genotype expansion among high-risk groups in Guangdong Province, China.

Ping-Ping Zhou, Guolong Yu, Yi-Qun Kuang, Xu-He Huang, Yan Li, Xiaobing Fu, Peng Lin, Jin Yan, Xiang He

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  9. [Analysis of HIV-1 Subtypes and Transmitted Drug Resistance in Hospitalized Treatment-Native Patients With AIDS].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
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  18. Observational
  19. Willingness to Self-Isolate When Facing a Pandemic Risk: Model, Empirical Test, and Policy Recommendations.International journal of environmental research and public health · 2019
    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

9 authors.

Ping-Ping ZhouGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Guolong YuGuangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Yi-Qun KuangGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Xu-He HuangGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Yan LiGuangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Xiaobing FuGuangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Peng LinGuangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China.
Jin YanGuangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China. yanjin212@qq.com.
Xiang HeGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, 160 Qunxian Road, Panyu District, Guangzhou, 511430, China. xhe.2013@gmail.com.ORCID http://orcid.org/0000-0003-2428-5349

Funding

Ministry of Science and Technology of the People's Republic of China 2012ZX10004-902
6 · The paper itself

Abstract

backgroundGuangdong Province is one of the most developed and populous provinces in southern China, with frequent foreign exchanges and large transient population. The annual number of cases of HIV/AIDS reported in Guangdong has been higher than most of provinces in China for several successive years. HIV infection by heterosexual transmission occurs across the province, with transmission among men who have sex with men occurring mainly in larger urban centers. There is a lack of widespread and representative data on the distribution of HIV subtypes in Guangdong. This study aimed to thoroughly investigate and estimate the prevalence and distribution of HIV-1 subtypes using a city-based sampling strategy to better understand the characteristics of HIV transmission in Guangdong.

methodsArchived plasma samples (n = 1205) from individuals diagnosed as HIV-1 infection in 2013 were selected randomly from all 21 cities in Guangdong Province. Genotypes were determined using env and/or gag sequences using phylogenetic analysis. The distributions of HIV genotypes in different risk groups and different cities were analyzed.

resultsA total of 15 genotypes, including six discordant genotypes, were identified. The four main HIV-1 subtypes in Guangdong were CRF01_AE (43.2%), CRF07_BC (26.3%), CRF55_01B (8.5%), and CRF08_BC (8.4%). CRF01_AE was the predominant subtype in all risk populations. The high mobility of people shaped the complexity of the HIV genotypes, while the switch of risk factors affected the distribution and future trend of HIV-1 genotypes in Guangdong. Another epicenter located in the western region in addition to the known epicenter cities in the Pearl River Delta region of Guangdong may exist.

conclusionsOur study provides a comprehensive molecular epidemiologic dataset to understand the diversity and distribution of HIV genotypes in Guangdong, as well as to clarify the unique region- and risk group-specific transmission dynamics. The results provide critical and insightful information for more effective intervention strategies to limit HIV transmission in the future.

Indexed as

AdultChinaCross-Sectional StudiesFemaleGene FrequencyGenotypeHIV-1HIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedMolecular EpidemiologyPhylogenyPrevalenceRisk FactorsChinaGenotypeGuangdongHIV-1Molecular epidemiologyRisk factor

Identifiers

PMID30795762
PMCPMC6387515

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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.