Evidence map›Paper›PMID 37814665›Full record

ArticleInfection and drug resistance2023

The Update of HIV-1 Prevalence and Incidence and Spatio-Temporal Analyses of HIV Recent Infection Among Four Sub-Groups in Sichuan, China During Surveillance Period Between 2016 and 2022.

Hong Yang, Yiping Li, Mengjiao Xu, Ying Hu, Fengshun Yuan, Lunhao Liu, Ling Li, Dan Yuan, Li Ye, Chang Zhou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 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 1 institution in 1 country.

Hong YangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.ORCID 0000-0003-1251-4917
Yiping LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.ORCID 0000-0002-6158-5108
Mengjiao XuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Ying HuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Fengshun YuanCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Lunhao LiuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Ling LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Dan YuanCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.ORCID 0000-0002-9074-8770
Li YeCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Chang ZhouCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Yan ZhangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Ling SuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Shu LiangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Sichuan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sichuan Province has gradually become a hot-spot for HIV/AIDS. Little is known about the HIV-1 incidence and prevalence among four sub-groups since 2015. Meanwhile, the distributions of hot-spot areas related to recent infection cases that indicate current transmission among the four subgroups are also rare. Objective: The main purpose of this study was to assess the HIV-1 prevalence and incidence and to visualize the distributions of hot-spot areas of current transmission among four subgroups (people who inject drugs, male STD clinic attendees, female sex workers and men who had sex with men) during the surveillance period in Sichuan province between 2016 and 2022. Results: Of the 267,617 individuals, 2158 HIV-positive samples were tested with Lag-Avidity EIA, among which 493 samples were identified as recent infections. Among people who inject drugs (PWID), both HIV-1 prevalence (from 1.41% to 0.34%) and incidence (from 0.03% to 0.140%) showed a significant decreasing trend. Among men who had sex with men (MSM), female sex workers (FSWs), and male STD clinic attendees, HIV-1 prevalence indicated significant decreasing trends, whereas HIV-1 incidence showed no significant changes. Spatial analysis demonstrated the formation of hot-spots and clusters of current transmissions sharing regional differences, mainly concentrated in the southeast, and most of these were consecutive hot-spots. Conclusion: The prevention and control were efficacious and persistent. However, among the other three subgroups, there is a need for a regional cooperative in prevention and control approaches and collaborative research in many aspects.

Indexed as

female sex workersFSWshot spotshuman immunodeficiency virusmale STD clinic attendeesmSTDpeople who inject drugsPWIDrecent infection

Identifiers

PMID37814665
PMCPMC10560476
OpenAlexW4387338747

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.