Evidence map›Paper›PMID 33560929›Full record

ArticleEmerging microbes & infections2021

Epidemiological profile and molecular genetic characterization of HIV-1 among female sex workers and elderly male clients in Guangxi, China.

Xiu Chen, Chunwei Qin, Rongfeng Chen, Yunxuan Huang, Yuexiang Xu, Qiao Tang, Xianjun Liang, Bing Peng, Yi Shao, Yao Yang and 8 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 32 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

18 authors at 2 institutions in 2 countries.

Xiu ChenGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Chunwei QinGuigang Center for Disease Control and Prevention, Guigang, 537100, Guangxi, People's Republic of China.
Rongfeng ChenGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Yunxuan HuangGuigang Center for Disease Control and Prevention, Guigang, 537100, Guangxi, People's Republic of China.
Yuexiang XuGuigang Center for Disease Control and Prevention, Guigang, 537100, Guangxi, People's Republic of China.
Qiao TangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Xianjun LiangGuigang Center for Disease Control and Prevention, Guigang, 537100, Guangxi, People's Republic of China.
Bing PengPeople's Hospital of Guigang, Guigang, 537100 Guangxi, People's Republic of China.
Yi ShaoGuigang Maternal and Child Health Hospital, Guigang, 537100 Guangxi, People's Republic of China.
Yao YangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Jie ChenGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Xinwei WangGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Liufang WenGuangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Bingyu LiangGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Li YeGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.ORCID https://orcid.org/0000-0001-7688-4867
Xionglin QinGuigang Center for Disease Control and Prevention, Guigang, 537100, Guangxi, People's Republic of China.
Junjun JiangGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.ORCID https://orcid.org/0000-0003-4905-9348
Hao LiangGuangxi-ASEAN Collaborative Innovation Center for Major Disease Prevention and Treatment, Life Sciences Institute, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.ORCID https://orcid.org/0000-0001-7534-5124
Guangxi Medical University · CNGuigang City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HIV/AIDS prevalence in female sex workers (FSWs) and elderly male clients is increasing in Guangxi, China, but the transmission relationship between them remains unclear. This study aims to illuminate the transmission network between FSWs and elderly male clients using molecular epidemiological analyses. Phylogenetic analysis indicated that CRF01_AE was the dominant strain, followed by CRF07_BC and CRF08_BC in both groups. Multivariate logistic regression analysis indicated that viral loads of 50 to 1000 copies/mL, immunological treatment failure and CRF07_BC were risk factors for entering the transmission network. Transmission network analysis showed that CRF07_BC tended to form large clusters, whereas CRF01_AE tended to form multiple but small clusters. Two groups of 11 FSWs and 169 clients were intricately intertwined. Spatial analysis demonstrated the formation of hotspots and clusters of transmission sharing regional differences. In conclusion, our study provides direct genetic evidence of transmission linkages between FSWs and elderly male clients. Although the CRF01_AE subtype was still the predominant subtype in the region, the higher degree and larger clusters found in CRF07_BC illustrate a rapid and intensive uptrend, which is expected to increase its prevalence in the region in the future.

Indexed as

AdultAgedAge FactorsChinaCluster AnalysisFemaleHIV-1HIV InfectionsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPhylogenyPrevalenceRNA, ViralRNA, Viralelderly male clientsfemale sex workersHIV/AIDSmolecular epidemiologytransmission network

Identifiers

PMID33560929
PMCPMC7935120
OpenAlexW3208348583

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.