Evidence map›Paper›PMID 42343848›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2026

[Impact of HIV-1 genotypes and population mobility on HIV-1 transmission in Guangzhou: a molecular transmission network analysis].

Weiping Huang, Huanchang Yan, Shunming Li, Hao Wu, Yanshan Cai, Zhigang Han, Shixing Tang

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Weiping HuangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Huanchang YanDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Shunming LiDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Hao WuDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Yanshan CaiDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Zhigang HanDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Shixing TangDepartment of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China.

Funding

Youth Program of National Natural Science Foundation of China 31800146
6 · The paper itself

Abstract

objectivesTo investigate the impact of HIV-1 genotypes and population mobility on HIV-1 transmission in Guangzhou to obtain evidence for devising precision prevention and control strategies.

methodsDemographic data and HIV-1 pol sequences were obtained from 6783 newly diagnosed people living with HIV (PLWH) in 2008-2020 in Guangzhou, including 24.0% local Guangzhou residents, 0.9% mobile Guangzhou residents, 56.4% local non-Guangzhou residents, and 18.6% mobile non-Guangzhou residents. HIV-1 genotypes were determined and molecular transmission networks were constructed using HIV-TRACE. Degree centrality and multinomial logistic regression were used to identify the key characteristics of the PLWH and risk factors of HIV-1 transmission.

resultsAmong the PLWH, the dominated HIV-1 genotypes were CRF07_BC (39.6%), CRF01_AE (33.0%), and CRF55_01B (11.9%), and 43.3% of the PLWH formed 596 transmission clusters. Compared with subtype B, CRF01_AE (aOR=1.384, 95%

conclusionsLocal Guangzhou residents, though accounting for only 24.9% in the PLWH, have a high risk of HIV-1 transmission, to which HIV-1 genotypes and MSM are also important contributors. Molecular network analysis provide important assistance for precision prevention and control of HIV-1 transmission.

Indexed as

HIV-1HIV InfectionsAdolescentAdultChinaFemaleGenotypeHumansMaleMiddle AgedPopulation DynamicsRisk FactorsYoung AdultgenotypeHIV-1migrantsmolecular transmission networktransmission

Identifiers

PMID42343848
PMCPMC13294727

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.