Evidence map›Paper›PMID 33795011›Full record

ArticleInfectious diseases of poverty2021

HIV incidence among men who have sex with men using geosocial networking smartphone application in Beijing, China: an open cohort study.

Guo-Dong Mi, Bin-Bin Zhang, Fei Yu, Xian-Long Ren, Jason J Ong, Ya-Qi Fan, Feng-Hua Guo, Chun-Jun Li, Mian-Zhi Zhang, Min-Ying Zhang

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 37 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

10 authors at 5 institutions in 3 countries.

Guo-Dong MiDanlan Beijing Media Limited, Beijing, China.
Bin-Bin ZhangSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Fei YuDanlan Beijing Media Limited, Beijing, China.
Xian-Long RenBeijing Center for Diseases Control and Prevention, Beijing, China.
Jason J OngCentral Clinical School, Monash University, Melbourne, Australia.
Ya-Qi FanSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Feng-Hua GuoSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Chun-Jun LiTianjin People's Hospital, Tianjin, China.
Mian-Zhi ZhangDongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Min-Ying ZhangSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China. Zhangminying@nankai.edu.cn.ORCID http://orcid.org/0000-0001-7461-7060
Nankai University · CNBeijing University of Chinese Medicine · CNBeijing Center for Disease Prevention and Control · CNLondon School of Hygiene & Tropical Medicine · GBTianjin People's Hospital · CN

Funding

Beijing Municipal Science and Technology Commission D17110700670000
6 · The paper itself

Abstract

backgroundSexual transmission among men who have sex with men (MSM) is the dominant route of HIV transmission in China. Extensive use of geosocial networking (GSN) smartphone application (app) has dramatically changed the pattern of sexual behaviors and HIV risk among MSM, but data on HIV incidence and the changing risk behaviors of GSN app-using MSM are limited. We aims to assess the HIV incidence and its correlates among gay GSN app-using MSM in China.

methodsWe constructed an open cohort which was initiated and maintained using a GSN app to assess the HIV incidence among app-using MSM, recruited from June 2017 to December 2018. MSM completed an online questionnaire on their sociodemographic characteristics, sexual behaviors, recreational drug use and sexually transmitted infections status. Then each man had an HIV test, and those tested negatives were enrolled into the cohort. Participants completed follow-ups with additional HIV tests though the app during the study period, and were censored at HIV seroconversion or study end date. HIV incidence was calculated by dividing the sum of observed HIV seroconversions by the observed person-time. Univariate (Chi-square test and Fisher's exact test) and multivariate (proportional hazards regression) analyses were used to examine correlates of HIV incidence.

resultsA total of 6957 HIV negative MSM were enrolled in the open cohort, 37 seroconversions occurred among 1937 men contributing 1065 observed person-years: HIV incidence was 3.47 per 100 person-years [95% confidence interval (CI): 2.37-4.57]. More than five sexual partners [hazard ratio (HR) = 2.65, 95% CI: 1.04-6.67], and sex with HIV positive partners (HR = 3.82, 95% CI: 1.16-12.64) in the preceding six months were positively associated with HIV seroconversion. Consistent condom use for anal sex (HR = 0.27, 95% CI: 0.07-0.96), and reporting insertive anal sex only (HR = 0.23, 95% CI: 0.08-0.62) in the preceding six months were protective factors for HIV seroconversion.

conclusionsTailored interventions targeting app-using MSM are urgently needed given their high risk of HIV. As a new tool for accessing MSM at higher HIV risk, GSN smartphone app could play an important role in HIV research among MSM.

Indexed as

HIV InfectionsMobile ApplicationsSexual and Gender MinoritiesBeijingChinaCohort StudiesHomosexuality, MaleHumansIncidenceMaleSexual BehaviorSmartphoneSocial NetworkingGeosocial networking applicationHIVIncidenceMen who have sex with menSexual risk behavior

Identifiers

PMID33795011
PMCPMC8017803
OpenAlexW3108769070

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.