Evidence map›Paper›PMID 39066336›Full record

ArticleViruses2024

Characteristics of Subtype and Molecular Transmission Networks among Newly Diagnosed HIV-1 Infections in Patients Residing in Taiyuan City, Shanxi Province, China, from 2021 to 2023.

Ruihong Gao, Wentong Li, Jihong Xu, Jiane Guo, Rui Wang, Shuting Zhang, Xiaonan Zheng, Jitao Wang

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Ruihong GaoAcademy of Medical Sciences, Shanxi Medical University, 56 Xinjian South Road, Taiyuan 030001, Shanxi, China.
Wentong LiAcademy of Medical Sciences, Shanxi Medical University, 56 Xinjian South Road, Taiyuan 030001, Shanxi, China.
Jihong XuTaiyuan Center for Disease Control and Prevention, No. 22, Huazhang West Street, Xiaodian District, Taiyuan 030012, Shanxi, China.
Jiane GuoTaiyuan Center for Disease Control and Prevention, No. 22, Huazhang West Street, Xiaodian District, Taiyuan 030012, Shanxi, China.
Rui WangTaiyuan Center for Disease Control and Prevention, No. 22, Huazhang West Street, Xiaodian District, Taiyuan 030012, Shanxi, China.
Shuting ZhangTaiyuan Center for Disease Control and Prevention, No. 22, Huazhang West Street, Xiaodian District, Taiyuan 030012, Shanxi, China.
Xiaonan ZhengTaiyuan Center for Disease Control and Prevention, No. 22, Huazhang West Street, Xiaodian District, Taiyuan 030012, Shanxi, China.
Jitao WangSchool of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan 030001, Shanxi, China.ORCID 0009-0001-6645-0755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HIV-1 pandemic, spanning four decades, presents a significant challenge to global public health. This study aimed to understand the molecular transmission characteristics of newly reported HIV infections in Taiyuan, Shanxi Province, China, to analyze the characteristics of subtypes and the risk factors of the transmission network, providing a scientific basis for precise prevention and intervention measures. A total of 720 samples were collected from newly diagnosed HIV-1 patients residing in Taiyuan between 2021 and 2023. Sequencing of partial genes of the HIV-1

Indexed as

HIV-1HIV InfectionsPhylogenyAdolescentAdultAgedChinaFemaleGenotypeHumansMaleMiddle AgedMolecular Epidemiologypol Gene Products, Human Immunodeficiency VirusRisk FactorsYoung Adultpol Gene Products, Human Immunodeficiency VirusclusterHIV-1molecular epidemiologysubtypetransmission network

Identifiers

PMID39066336
PMCPMC11281631

What OpenQuestion holds

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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.