Evidence map›Paper›PMID 29665785›Full record

ArticleBMC infectious diseases2018

New types of drug use and risks of drug use among men who have sex with men: a cross-sectional study in Hangzhou, China.

Lin He, Xiaohong Pan, Ning Wang, Jiezhe Yang, Jun Jiang, Yan Luo, Xingliang Zhang, Xiting Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  17. HIV Testing and Risks of Sexual Behavior among HIV-Negative Men Who Have Sex with Men in Ningbo, China.International journal of environmental research and public health · 2020
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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 2 institutions in 1 country.

Lin HeZhejiang Provincial Center for Disease Control and Prevention, No. 3399 Bin Sheng Road, Binjiang District, Hangzhou, Zhejiang, People's Republic of China.
Xiaohong PanZhejiang Provincial Center for Disease Control and Prevention, No. 3399 Bin Sheng Road, Binjiang District, Hangzhou, Zhejiang, People's Republic of China. xhpan@cdc.zj.cn.
Ning WangNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiezhe YangZhejiang Provincial Center for Disease Control and Prevention, No. 3399 Bin Sheng Road, Binjiang District, Hangzhou, Zhejiang, People's Republic of China.
Jun JiangZhejiang Provincial Center for Disease Control and Prevention, No. 3399 Bin Sheng Road, Binjiang District, Hangzhou, Zhejiang, People's Republic of China.
Yan LuoHangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Xingliang ZhangHangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Xiting LiHangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Zhejiang Center for Disease Control and Prevention · CNHangzhou Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of new types of drugs has become more common among men who have sex with men (MSM). The aim of this study was to describe the patterns of the use of new types of drugs, such as methamphetamine, ketamine, ecstasy, and rush poppers, and to examine the factors associated with drug use and HIV infection among MSM in Hangzhou, China.

methodsThis cross-sectional study was conducted between August 2015 and April 2016. We used snowball sampling to recruit MSM; participants were recruited from voluntary counseling and testing centers, baths, bars, Blued (an app for the gay community), QQ groups, clubs, and other types of venues. MSM were included if their previous HIV test results were negative or unknown, or they had not been tested for HIV. MSM were excluded if they were known to be HIV positive before the survey. Face-to-face questionnaires were conducted and a venous blood specimen was drawn from each participant following the interview.

resultsIn total, 555 MSM were included; 18.2% (101/555) of the participants had used new types of drugs in the past 3 months. Among the users, 65.3% used single-use rush poppers, while the remainder used ketamine, methamphetamine, ecstasy, or other mixed combinations of drugs. The HIV positivity rate was 14.8% (82/555). Factors associated with increased odds of using new types of drugs in the past 3 months were higher education levels (adjusted odds ratio [AOR] 4.45, 95% confidence interval [CI] 2.12-9.37), having multiple sexual partners (AOR 1.76, 95 CI 1.02-3.05), alcohol use before sexual intercourse (AOR 33.44, 95% CI 10.80-103.50), and seeing friends using new types of drugs.

conclusionWe revealed the widespread use of new types of drugs, as well as a high diagnosis rate of new HIV infection, among MSM in Hangzhou. The use of new types of drugs was associated with an increased number of sexual partners among MSM; the high-risk sexual behaviors increased the risk of HIV infection. Attention should be given to the use of new types of drugs in MSM, and supervision programs should be strengthened to combat drug use.

Indexed as

AdolescentAdultAlcoholismChinaCross-Sectional StudiesHIV InfectionsHomosexuality, MaleHumansMaleMethamphetamineN-Methyl-3,4-methylenedioxyamphetamineOdds RatioRisk FactorsSexual BehaviorSexual PartnersSocioeconomic FactorsMethamphetamineN-Methyl-3,4-methylenedioxyamphetamineAlcoholHIVMen who have sex with menNew types of drugsRush poppers

Identifiers

PMID29665785
PMCPMC5904980
OpenAlexW2800264316

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.