| Literature DB >> 25287717 |
Yong-ze Li, Jun-jie Xu, Han-zhu Qian, Bing-xin You, Jing Zhang, Jian-ming Zhang, Qing-hai Hu, Zhen-xing Chu, Shu-yang Liu, Yong-jun Jiang, Wen-qing Geng, Hong Shang1.
Abstract
BACKGROUND: China has the largest number of the elderly in the world. As the proportion of elderly is rapidly increasing among national reported HIV/AIDS cases, it is a concern about HIV epidemic among older MSM in China. However, studies on HIV prevalence and unprotected anal intercourse (UAI) among Chinese older MSM were relatively few or generally had small sample sizes.Entities:
Mesh:
Year: 2014 PMID: 25287717 PMCID: PMC4287343 DOI: 10.1186/1471-2334-14-531
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Figure 1Flow diagram of the study selection process. As shown, our initial searches yielded 3657 citations from Pubmed, Chinese National Knowledge Infrastructure, Wanfang and Google Scholar databases. After screening titles and abstracts, 68 studies were considered potentially eligible and retrieved in full text. Of these, 48 studies were subsequently excluded because they did not satisfy the inclusion criteria. Thus, 20 fully eligible studies were identified.
Prevalence of HIV infection among older MSM in China
| First author, published year | Study design | Older MSM | Younger MSM | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Location | Study year | Sampling method | Recruitment settings | Sample size | HIV infectiona | Syphilis infectionb | UAI | Sample size | HIV infection | Syphilis infection | UAI | |
| Ma AB, 2007 | Yunnan | 2005 | Mixedc | Medical settings | 8 | 1 | NRd | NR | 70 | 7 | NR | NR |
| Xi SJ, 2011 | Hangzhou | 2009-2010 | Snowballing | Multiple gay venues or events | 16 | 1 | NR | NR | 514 | 44 | NR | NR |
| Long QP, 2012 | Hunan | 2011 | Mixed | Multiple gay venues or events | 33 | 7 | NR | 27 | 233 | 36 | NR | 178 |
| Zhou JB, 2012 | Changzhou | 2007 | Snowballing | Multiple gay venues or events | 43 | 12 | 18 | NR | 550 | 69 | 167 | NR |
| Wang ZC, 2012 | Xining | 2011 | Mixed | Medical settings | 21 | 2 | 0 | 17 | 382 | 45 | 40 | 233 |
| Qun He, 2006 | Guangzhou | 2003 | Mixed | Medical settings | 23 | 0 | NR | NR | 201 | 0 | NR | NR |
| Xuan ZB, 2012 | Shanghai | 2010-2011 | Snowballing | Medical settings | 9 | 0 | NR | 7 | 89 | 3 | NR | 64 |
| Chu ZX, 2011 | Shenyang | 2008 | Snowballing | Medical settings | 56 | 4 | 11 | 50 | 2018 | 96 | 234 | 1888 |
| Yan Xiao, 2010 | 20 cities | 2006 | Snowballing | Multiple gay venues or events | 1009 | 55 | NR | 834 | 2961 | 91 | NR | 2034 |
| Wu ZY, 2013 | 61 Cities | 2008- 2009 | RDSe | Medical settings | 1182 | 90 | 274 | 813 | 45478 | 2196 | 5226 | 23294 |
| Zhou YQ, 2012 | Shanghai | 2010- 2011 | Mixed | Medical settings | 6 | 1 | 2 | NR | 288 | 17 | 36 | NR |
| Yang LG, 2012 | Fuyang | 2010-2011 | Mixed | Multiple gay venues or events | 2 | 0 | NR | 2 | 263 | 15 | NR | 163 |
| Lan GH, 2009 | Guangxi | 2008 | Snowballing | Medical settings | 41 | 2 | 5 | 28 | 1105 | 18 | 60 | 613 |
| Feng F, 2009 | Haikou | 2008 | Mixed | Medical settings | 4 | 0 | NR | NR | 100 | 2 | NR | NR |
| Zhang FX, 2011 | Suzhou | 2008- 2009 | Mixed | Medical settings | 38 | 2 | NR | 27 | 616 | 56 | NR | 384 |
| Li R, 2010 | Dalian | 2009 | Snowballing | Multiple gay venues or events | 6 | 2 | NR | NR | 396 | 16 | NR | NR |
| Chen Y, 2013 | Guizhou | 2008- 2009 | Mixed | Multiple gay venues or events | 32 | 14 | NR | 27 | 798 | 179 | NR | 513 |
| Ni ZM, 2011 | Hangzhou | 2009 | Mixed | Multiple gay venues or events | 5 | 1 | 1 | NR | 214 | 33 | 43 | NR |
| Xu J, 2010 | 4 cities | 2008 | RDS | Medical settings | 252 | 24 | NR | 214 | 1612 | 101 | NR | 1259 |
| Zheng LX, 2012 | Longyan | 2010- 2011 | Snowballing | Multiple gay venues or events | 26 | 2 | NR | NR | 377 | 13 | NR | NR |
aBlood specimens were detected by Enzyme-Linked Immuno Sorbent Assays (ELISA) and Western Blot assay (WB) to confirm HIV infection in all the included studies; bBlood specimens were detected by Rapid Plasma Reagin (RPR) and Treponema Pallidum Particle Agglutination assay (TPPA)to confirm syphilis infection in all the included studies; cMixed: Snowballing or/and RDS or/and convenience sampling were included; dNR: Not reported; eRDS: Respond Driven Sampling.
Figure 2Meta-analysis of the HIV prevalence among older MSM in China. Figure 2 shows unadjusted HIV prevalence estimates (boxes) with 95% confidence limits (bars) for each study selected; pooled prevalence estimates are represented as diamonds in this plot.
Figure 3Meta-analysis of syphilis prevalence among older MSM in China. Figure 3 shows unadjusted syphilis prevalence estimates (boxes) with 95% confidence limits (bars) for each study selected; pooled prevalence estimates are represented as diamonds in this plot.
Stratified meta-analyses of HIV prevalence among older MSM of China
| Subgroups | Prevalence % (95% CI) | No of studies | Heterogeneity | |
|---|---|---|---|---|
| I2% | p Value | |||
| Sample size | ||||
| > 200 | 7.2%(5.4%-9.5%) | 3 | 70.67 | <0.05 |
| ≤ 200 | 13.6%(8.4%-21.2%) | 17 | 55.86 | <0.05 |
| Study year | ||||
| 2003-2007 | 9.9%(2.7%-30.6%) | 4 | 89.30 | <0.05 |
| 2008-2009 | 12.1%(6.8%-20.5%) | 9 | 81.04 | <0.05 |
| 2010-2011 | 13.6%(8.2%-21.8%) | 7 | — | >0.05 |
| Study location | ||||
| East China | 13.0%(6.8%-23.4%) | 8 | 32.12 | >0.05 |
| Nationwide | 7.2%(5.4%-9.5%) | 3 | 70.67 | <0.05 |
| North China | 14.7%(2.7%-51.5%) | 2 | 70.91 | >0.05 |
| South China | 12.3%(3.3%-36.6%) | 3 | 35.25 | >0.05 |
| Southwest | 16.4%(2.8%-57.4%) | 3 | 83.90 | <0.05 |
| West China | 9.5%(2.4%-31.1%) | 1 | — | <0.05 |
| Recruitment settings | ||||
| Medical settings | 7.9%(6.7%-9.3%) | 11 | — | >0.05 |
| Multiple gay venues or events | 17.4%(7.6%-35.0%) | 9 | 89.20 | <0.05 |
| Sampling method | ||||
| Mixed | 15.5%(8.0%-27.8%) | 10 | 52.88 | <0.05 |
| RDS | 8.0%(6.7%-9.6%) | 2 | 2.98 | >0.05 |
| Snowballing | 9.8%(4.7%-19.2%) | 8 | 78.12 | <0.05 |
Figure 4The regional distribution of pooled prevalence of HIV among older MSM in China. Created by: YZL. Generated by: Microsoft Office PowerPoint.
Figure 5Meta-analysis of UAI prevalence among older MSM in China. Figure 5 shows unadjusted UAI prevalence estimates (boxes) with 95% confidence limits (bars) for each study selected; pooled prevalence estimates are represented as diamonds in this plot.