Evidence map›Paper›PMID 26779538›Full record

SynthesisBioMed research international2015

Sexual Risk Behaviors and HIV Infection among Men Who Have Sex with Men and Women in China: Evidence from a Systematic Review and Meta-Analysis.

Hong-Yi Wang, Jun-Jie Xu, Hua-Chun Zou, Kathleen Heather Reilly, Christiana Meng Zhang, Ke Yun, Yong-Ze Li, Yong-Jun Jiang, Wen-Qing Geng, Hong Shang and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Novel Multitasking Ant Colony Optimization Method for Detecting Multiorder SNP Interactions.Interdisciplinary sciences, computational life sciences · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Hong-Yi WangKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Jun-Jie XuKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Hua-Chun ZouKirby Institute, University of New South Wales, Sydney, NSW 2052, Australia.
Kathleen Heather ReillyNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Christiana Meng ZhangGeorgetown University School of Medicine, 3900 Reservoir Road Northwest, Washington, DC 20007, USA.
Ke YunKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Yong-Ze LiKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Yong-Jun JiangKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Wen-Qing GengKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Hong ShangKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310000, China.
Ning WangKey Laboratory of AIDS Immunology of National Health and Family Planning Commission, Department of Laboratory Medicine, The First Affiliated Hospital, China Medical University, Shenyang 110001, China; Georgetown University School of Medicine, 3900 Reservoir Road Northwest, Washington, DC 20007, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo understand the current risk of HIV infection and transmission and further elucidate the underlying risk factors among men who have sex with men and women (MSMW) in China.

methodsFollowing PRISMA guidelines, we conducted a systematic review and meta-analysis of searching through Chinese and English available literature databases between January 2000 and June 2014 to identify articles.

resultsThirty-six articles (including 19,730 MSMW and 53,536 MSMO) met the selection criteria and the aggregated results found that MSMW have significantly higher HIV prevalence than MSMO (6.6% versus 5.4%, OR = 1.27, 95% CI = 1.01-1.58). A higher proportion of MSMW had commercial male partners in the past 6 months (18.3% versus 12.2%, OR = 1.56, 95% CI = 1.01-2.42). Additionally, substance use in the past 6 months was significantly more frequent among MSMW than MSMO (alcohol use: 27.1% versus 13.1%, OR = 2.53, 95% CI = 2.14-2.99; illicit drug use: 5.3% versus 2.5%, OR = 2.09, 95% CI = 1.48-2.95).

conclusionA higher proportion of commercial sex and substance use among MSMW may be a potentially indicative factor for significantly higher HIV prevalence compared to MSMO. Targeted interventions should aim at increasing the frequency of HIV/STIs screening and preventing high risk commercial sex and substance use among MSMW to decrease their HIV transmission to the general population.

Indexed as

Homosexuality, MaleSexual BehaviorBisexualityChinaFemaleHIV-1HIV InfectionsHumansMaleRisk-TakingSexual Partners

Identifiers

PMID26779538
PMCPMC4686633

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.