Evidence map›Paper›PMID 26129754›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015

Targeting HIV Prevention Based on Molecular Epidemiology Among Deeply Sampled Subnetworks of Men Who Have Sex With Men.

Xicheng Wang, Yasong Wu, Lin Mao, Wei Xia, Weiwei Zhang, Lili Dai, Sanjay R Mehta, Joel O Wertheim, Xingqi Dong, Tong Zhang and 2 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A New HIV-1 KMicrobiology spectrum · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. HIV Molecular Epidemiology: Tool of Oppression or Empowerment?The American journal of bioethics : AJOB · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. Observational
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

12 authors.

Xicheng WangDepartment of Infectious Diseases, Yunnan Provincial Hospital of Infectious Diseases, Kunming.
Yasong WuDivision of Treatment and Care, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing.
Lin MaoDepartment of Infectious Diseases, Yunnan Provincial Hospital of Infectious Diseases, Kunming.
Wei XiaCenter for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, China.
Weiwei ZhangDivision of Treatment and Care, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing.
Lili DaiCenter for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, China.
Sanjay R MehtaUniversity of California San Diego Veterans Affairs Healthcare System San Diego, California.
Joel O WertheimUniversity of California San Diego.
Xingqi DongDepartment of Infectious Diseases, Yunnan Provincial Hospital of Infectious Diseases, Kunming.
Tong ZhangCenter for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, China.
Hao WuCenter for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, China.
Davey M SmithUniversity of California San Diego Veterans Affairs Healthcare System San Diego, California.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Maile Ann Young Karris · 1994 to 2026
$78.4M
STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DAVID J MOORE · 2001 to 2026
$50.4M
Molecular Epidemiology for HIV Prevention for Drug Users and Other Risk Groups DP1DA034978 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2016
$4.1M
A Multi-Site Investigation into the Effect of HIV Clade on Neurocognitive ImpairmR01MH083552 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2008 to 2012
$3.3M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
Mentoring Translational Research in HIVK24AI100665 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, DAVID MITCHELL · 2012 to 2021
$1.5M
Public Health Implications of HIV Transmission NetworksK01AI110181 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2014 to 2018
$668k
Molecular Epidemiology of HIV-1 in the California-Mexico Border RegionK23AI093163 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MEHTA, SANJAY R · 2011 to 2015
$643k
Characterizing Privacy Perceptions and Risks in HIV Molecular EpidemiologyR21AI108351 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KALICHMAN, MICHAEL W, LITTLE, SUSAN JANET · 2014 to 2015
$426k
NIAID NIH HHS AI036214NIAID NIH HHS AI093163NIAID NIH HHS AI100665NIAID NIH HHS AI108351NIAID NIH HHS K01 AI110181NIAID NIH HHS K01AI110181NIAID NIH HHS K23 AI093163NIAID NIH HHS K24 AI100665NIAID NIH HHS P30 AI036214NIAID NIH HHS R21 AI108351NIDA NIH HHS DA034978NIDA NIH HHS DP1 DA034978NIMH NIH HHS MH062512NIMH NIH HHS MH083552NIMH NIH HHS MH100974NIMH NIH HHS P30 MH062512NIMH NIH HHS R01 MH083552NIMH NIH HHS R01 MH100974
6 · The paper itself

Abstract

backgroundMolecular epidemiology can be useful in identifying clusters of human immunodeficiency virus (HIV) transmission that can be targeted for prevention.

methodsRegular screening of 2000 men who have sex with men (MSM) in Beijing, China, for HIV infection every 2 months identified 179 primary infections (2007-2010). HIV-1 pol sequences were obtained and used to infer the transmission network and identify transmitted drug resistance (TDR) among these individuals. We evaluated the use of clinical and network information to target prevention efforts. Prevention efficiency was calculated as the number of infections saved per number of interventions.

resultsThis cohort was infected with HIV-1 subtype B (28%), circulating recombinant form (CRF)_01 AE (53%), and CRF_07 BC (16%). The overall rate of TDR was low (5%), but the rate of clustering was high (64%), suggesting deep sampling of the subnetwork. Provision of a theoretically high-efficacy intervention like antiretroviral therapy to all participants had a prevention efficiency of 23%. The efficiency of targeting prevention based on lower CD4 counts (<200 cells/mL, <350 cells/mL, or <500 cells/mL) and higher viral loads (>100 000 copies/mL and >50 000 copies/mL) was between 10% and 18%. The efficiency of targeting prevention based on number of network connections was much higher (30%-42%). For example, treating the 33 participants with ≥5 connections in 2009 would have theoretically prevented 14 infections in 2010 (42% prevention efficiency).

conclusionsRegular HIV testing of MSM in Beijing can deeply sample the local transmission subnetwork, and targeting prevention efforts based on network connectivity may be an efficient way to deliver prevention interventions.

Indexed as

Homosexuality, MaleAdultAgedChinaCluster AnalysisCohort StudiesCommunicable Disease ControlDisease Transmission, InfectiousGenotypeHIV-1HIV InfectionsHumansMaleMiddle AgedMolecular Epidemiologypol Gene Products, Human Immunodeficiency Viruspol Gene Products, Human Immunodeficiency VirusChinaHIVmolecular epidemiologyMSMtargeted prevention

Identifiers

PMID26129754
PMCPMC4599390

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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.