Evidence map›Paper›PMID 39737462›Full record

ArticleFrontiers in public health2024

HIV risk and influence factors among MSM who had sought sexual partners in core venues: a continuous sentinel surveillance in 2010-2022.

Zijie Yang, Lan Wei, Zhongliang Xu, Simei Li, Yiwen Xing, Yan Zhang, Yuan Yuan, Shaochu Liu, Wei Xie, Wei Tan and 7 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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
  3. Article
  4. Article
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

17 authors.

Zijie YangSchool of Public Health, Peking University, Beijing, China.
Lan WeiShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Zhongliang XuNanshan Center for Disease Control and Prevention, Shenzhen, China.
Simei LiShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Yiwen XingSchool of Public Health, Peking University, Beijing, China.
Yan ZhangShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Yuan YuanShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Shaochu LiuShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Wei XieShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Wei TanShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Wei YeNanshan Center for Disease Control and Prevention, Shenzhen, China.
Jingguang TanShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Xiangdong ShiShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Xiangyu YanSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Tiejian FengShenzhen Center for Disease Control and Prevention, Shenzhen, China.
Zhongwei Jia *School of Public Health, Peking University, Beijing, China.
Jin Zhao *Shenzhen Center for Disease Control and Prevention, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Seeking sexual partners in men who have sex with men (MSM) venues has been regarded as a high-risk behavior for HIV among MSM. Nevertheless, with the implementation of venue-based interventions and the change in the way MSM seek sexual partners, the continued status of MSM venues as the HIV risk factor remains inconclusive. This study endeavors to delve into this ambiguity by examining the MSM sexual contact network (SCN) as a foundation. Methods: A series of cross-sectional surveys were conducted in Shenzhen in the period 2010-2022. MSM sexual contact network and venue network were acquired, and network metrics were employed to identify core MSM and core venues. We compared the risk of HIV and risk behaviors between MSM who sought sexual partners in core venues and those who did not, with subgroup analyses based on different time periods. Results: The overall HIV prevalence among the 4,408 MSM surveyed in this study was 14.6%. Notably, 17 core venues were identified out of the 68 reported MSM venues, with 1,486 MSM who had sought sexual partners in core venues. These MSM had significantly higher risk of HIV and were more likely to take HIV testing and receive intervention services. Subgroup analyses showed that the heightened HIV risk associated with seeking partners in core venues was specific to the period 2010-2014, while HIV testing and service access remained consistently higher across all-period subgroups. Multiple sexual partners, seeking partners in core venues, receptive or both sexual roles, drug abuse, absence of HIV test, unprotected anal intercourse (UAI), and lower education levels were associated with elevated HIV risk among MSM. Conclusion: Following the implementation of differentiated venue-based interventions, the risk of HIV among MSM who had sought sexual partners in core venues decreased to a level comparable to that of MSM who had not. The accessibility of HIV testing and intervention services remains uneven between MSM who had sought sexual partners in core venues and those who had not. As the Internet sex-seeking behavior gains prevalence among MSM, strategic adjustments of public health resource allocation may be necessary to address this imbalance.

Indexed as

HIV InfectionsHomosexuality, MaleRisk-TakingSentinel SurveillanceSexual PartnersAdolescentAdultChinaCross-Sectional StudiesHumansMaleMiddle AgedPrevalenceRisk FactorsSexual BehaviorSurveys and QuestionnairesHIV/AIDSHIV riskmen who have sex with mensexual contact networksvenues network

Identifiers

PMID39737462
PMCPMC11683098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.