Evidence map›Paper›PMID 36779044›Full record

ArticleInfection and drug resistance2023

Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020.

Hong Yang, Yiping Li, Fang He, Fengshun Yuan, Lunhao Liu, Ling Li, Dan Yuan, Li Ye, Chang Zhou, Yan Zhang and 2 more

Abstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

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
Fang HeCenter 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.ORCID 0000-0003-3141-9018
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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sichuan Province is severely affected by the HIV epidemic in China. Little is known about the characteristics of recent infections among new HIV diagnoses, which is critical to prevention strategies, evaluation of the HIV epidemic and health resource allocation. Meanwhile, individuals at primary stages of infection are related to the hot-spot areas of ongoing transmission in new HIV diagnoses, which is also rarely known. Objective: This article aimed to report the proportion of recent infections among new HIV diagnoses, and to reveal demographic characteristics associated with HIV recent infections, and finally, to indicate the hot-spot areas of ongoing transmission in Sichuan province between 2018 and 2020. Methods: Limiting Antigen (LAg)-Avidity assay was performed to detect recent infection within new HIV diagnoses reported in odd months between 2018 and 2020. Results were reclassified according to the data on CD4 cell count, antiretroviral treatment and the existence of an AIDS-defining illness. Logistic regression was used to determine characteristics associated with HIV recent infections. The spatial analysis was conducted with ArcGIS 10.7 to figure hot-spot areas of HIV recent infections. Results: 42,089 newly diagnosed HIV-1 cases were tested using the LAg-Avidity EIA. In total, 5848 (13.89%) of those were classified as HIV recent infections. Female, age between 18-25 years and men who had sex with men were related to higher proportion of HIV recent infections. Logistic regression revealed that MSM aged between 18-25 years were more likely to be classified as recent infection. Spatial analysis demonstrated significant clustering in Chengdu, Yibin, Luzhou city between 2018 and 2020. Hot spots were mainly clustered in the center of Sichuan in 2018, but gradually spread to southwest and northwest between 2019 and 2020. Conclusion: Enhanced preventive measures among relevant risk groups and areas where the potential HIV-1 transmission is ongoing is urgently needed to curb further spread.

Indexed as

HIVHIV recent infectionhot spotshuman immunodeficiency virusSichuan

Identifiers

PMID36779044
PMCPMC9911905

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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.