Evidence map›Paper›PMID 24575408›Full record

ArticleBioMed research international2014

Changing the landscape of the HIV epidemic among MSM in China: results from three consecutive respondent-driven sampling surveys from 2009 to 2011.

Xuefeng Li, Hongyan Lu, Catherine Cox, Yuejuan Zhao, Dongyan Xia, Yanming Sun, Xiong He, Yan Xiao, Yuhua Ruan, Yujiang Jia and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Evaluating Variance Estimators for Respondent-Driven Sampling.Journal of survey statistics and methodology · 2017
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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

11 authors at 4 institutions in 2 countries.

Xuefeng LiState Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No. 155 Changbai Road, Changping District, Beijing 102206, China ; Karamay Center for Disease Control and Prevention, Karamay 834000, China.ORCID 0000-0003-0801-1524
Hongyan LuBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Catherine CoxSchool of Public Health, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-2141-2701
Yuejuan ZhaoBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Dongyan XiaBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Yanming SunBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Xiong HeBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Yan XiaoState Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No. 155 Changbai Road, Changping District, Beijing 102206, China.
Yuhua RuanState Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No. 155 Changbai Road, Changping District, Beijing 102206, China.
Yujiang JiaDepartment of Preventive Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Yiming ShaoState Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, No. 155 Changbai Road, Changping District, Beijing 102206, China.
Beijing Center for Disease Prevention and Control · CNChinese Center For Disease Control and Prevention · CNUniversity of Maryland, College Park · USVanderbilt University · US

Funding

Vanderbilt University-CIDRZ AIDS International Training and Research ProgramD43TW001035 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 1998 to 2014
$10.9M
Building Capacity in Evidence-based HIV Prevention Research for MSM in ChinaR01AI078933 · NIAID · NATIONAL CENTER FOR AIDS/STD CONTROL AND PREVENTION · PI RUAN, YUHUA, XIAO, YAN · 2008 to 2011
$321k
FIC NIH HHS 5D43TW001035-13FIC NIH HHS D43 TW001035NIAID NIH HHS R01 AI078933
6 · The paper itself

Abstract

This study assessed the changes of HIV incidence and its predictors among Beijing's men who have sex with men (MSM). Three consecutive cross-sectional surveys were carried out using a consistent respondent-driven sampling (RDS) approach in 2009, 2010, and 2011, respectively. Structured-questionnaire based interviews were completed with computer-assisted self-administration. Incident infection was examined with BED capture enzyme immunoassay (BED-CEIA). The overall rate of HIV prevalence was 8.0% in the three years (95% confidence interval [CI]: 4.9%-11.2%). The overall rate of BED-CEIA incidence was 7.8/100 person years (PY) (95% CI: 5.5-10.1) with 6.8/100PY (95% CI: 3.4-10.2) in 2009, 11.2/100PY (95% CI: 6.2-16.3) in 2010, and 5.8/100PY (95% CI: 2.4-9.3) in 2011, respectively. Multivariable logistic regression analysis revealed that, compared with HIV-negative MSM, recently infected MSM were more likely to be bisexual (adjusted odds ratio [AOR] = 2.1, 95% CI: 1.1-4.1), live in Beijing ≤3 years (AOR = 2.1, 95% CI: 1.2-4.0), and have a negative attitude towards safe sex (AOR = 1.1 per scale point, 95% CI: 1.0-1.1). This study demonstrated a disturbing rise of HIV infections among Beijing's MSM. These findings underscored the urgency of scaling up effective and better-targeted intervention services to stop the rapid spread of the virus.

Indexed as

Homosexuality, MaleAdolescentAdultAgedChinaCross-Sectional StudiesHIV InfectionsHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesSyphilis

Identifiers

PMID24575408
PMCPMC3918367
OpenAlexW2018767144

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.