Evidence map›Paper›PMID 30092072›Full record

ArticlePloS one2018

Trends of HIV incidence and prevalence among men who have sex with men in Beijing, China: Nine consecutive cross-sectional surveys, 2008-2016.

Qiang Chen, Yanming Sun, Weidong Sun, Mingqiang Hao, Guiying Li, Xueli Su, Ruolei Xin, Hongyan Lu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 43 citations in OpenAlex.

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  8. Differences in Sexual Behaviors, HIV Testing, and Willingness to Use PrEP between Gay and Bisexual Men Who Have Sex with Men in China.International journal of sexual health : official journal of the World Association for Sexual Health · 2022
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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 at 1 institution in 1 country.

Qiang ChenInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Yanming SunInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Weidong SunInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Mingqiang HaoInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Guiying LiInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Xueli SuInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Ruolei XinInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.
Hongyan LuInstitute for AIDS/STD Control and Prevention, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medical Research, Beijing, China.ORCID 0000-0002-3858-6858
Beijing Center for Disease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSexual transmission of HIV among men who have sex with men (MSM) increased markedly in China during the past decade. HIV incidence is a critical indicator in HIV surveillance and we use a HIV-1 BED-capture-enzyme immunoassay (BED-CEIA) to examine the incidence among MSM in Beijing from 2008 to 2016. Risk factors related to recent HIV infection were also assessed.

methodsConsecutive cross-sectional surveys on MSM were conducted yearly from 2008 through 2016. Demographic and behaviors data were collected. HIV status was determined and HIV positive specimens were tested for recent infection using BED-CEIA. Specimens with ODn values≤0.8 were considered recently infected, HIV incidence rates and prevalence were then calculated. Risk factors associated with recent HIV infection were assessed by univariate and multivariable logistic regression.

resultsFrom 2008 to 2016, the numbers of eligible participants in the nine consecutive years ranged from 472 to 616. All the 261 eligible HIV-positive specimens were subjected to recent HIV infection testing. HIV prevalence ranged from 5.0% (3.3%-6.8%) to 10.2% (7.8%-12.7%), and incidence ranged from 1.57% (0.19%-2.95%) to 6.63% (3.65%-9.61%). MSM who never or sometimes used condoms during anal sex with men in the past 6 months (aOR = 1.515, 95%CI: 1.016-2.257, p = 0.041), or having syphilis infection (aOR = 1.561, 95%CI: 0.946-2.575, p = 0.081) were more likely to be recently infected with HIV. Being a Beijing resident (aOR = 0.409, 95%CI: 0.212-0.790, p = 0.008), or having only one male anal sex partner in the past 6 months (aOR = 0.467, 95%CI: 0.220-0.994, p = 0.048) were associated with a lower risk for recent HIV infection.

conclusionsThe HIV incidence fluctuated among MSM in Beijing. Unprotected anal sex, having multiple sex partners, being a non-registered Beijing resident and having a syphilis infection play important roles in the recent HIV infection. Effective intervention measures for HIV and syphilis control and prevention should be continuously strengthened.

Indexed as

Homosexuality, MaleSexual BehaviorAdultAntibodiesBeijingCondomsCross-Sectional StudiesHealth BehaviorHIV InfectionsHIV SeropositivityHumansIncidenceMalePrevalenceRisk FactorsSexual PartnersAntibodies

Identifiers

PMID30092072
PMCPMC6084969
OpenAlexW2886071806

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.