Evidence map›Paper›PMID 24626165›Full record

ArticlePloS one2014

Modeling the impact on HIV incidence of combination prevention strategies among men who have sex with men in Beijing, China.

Jie Lou, Meridith Blevins, Yuhua Ruan, Sten H Vermund, Sanyi Tang, Glenn F Webb, Bryan E Shepherd, Xiong He, Hongyan Lu, Yiming Shao and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
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  5. Treatment as Prevention: Concepts and Challenges for Reducing HIV Incidence.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
  6. Review
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  17. Frequent HIV Testing: Impact on HIV Risk Among Chinese Men Who Have Sex with Men.Journal of acquired immune deficiency syndromes (1999) · 2016
    Article
  18. Article
  19. Article
  20. Review
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 5 institutions in 2 countries.

Jie LouDepartment of Mathematics, Shanghai University, Shanghai, China.
Meridith BlevinsVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, United States of America.
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, Beijing, China.
Sten H VermundVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Pediatrics, Vanderbilt University, Nashville, Tennessee, United States of America.
Sanyi TangCollege of Mathematics and Information Science, Shaanxi Normal University, Xi'an, Shaanxi Province, China.
Glenn F WebbDepartment of Mathematics, Vanderbilt University, Nashville, Tennessee, United States of America.
Bryan E ShepherdVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, United States of America.
Xiong HeInstitute for AIDS/STD Prevention & Control, Beijing Municipal Center for Disease Control and Prevention, Beijing, China.
Hongyan LuInstitute for AIDS/STD Prevention & Control, Beijing Municipal Center for Disease Control and Prevention, Beijing, China.
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, Beijing, China.
Han-Zhu QianVanderbilt Institute for Global Health, Vanderbilt University, Nashville, Tennessee, United States of America; Division of Epidemiology, Department of Medicine, Vanderbilt University, Nashville, Tennessee, United States of America.
Vanderbilt University · USBeijing Center for Disease Prevention and Control · CNShaanxi Normal University · CNShanghai University · CNVanderbilt Health · US

Funding

Multi-component HIV Intervention Packages for Chinese MSMR01AI094562 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI QIAN, HAN-ZHU, VERMUND, STEN H. · 2011 to 2014
$2.5M
Expanded Testing, Linkage, and Treatment for HIV Prevention Among MSM in ChinaR34AI091446 · NIAID · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2011 to 2011
$226k
NIAID NIH HHS R01 AI094562NIAID NIH HHS R01AI094562NIAID NIH HHS R34 AI091446NIAID NIH HHS R34AI091446
6 · The paper itself

Abstract

objectiveTo project the HIV/AIDS epidemics among men who have sex with men (MSM) under different combinations of HIV testing and linkage to care (TLC) interventions including antiretroviral therapy (ART) in Beijing, China.

designMathematical modeling.

methodsUsing a mathematical model to fit prevalence estimates from 2000-2010, we projected trends in HIV prevalence and incidence during 2011-2020 under five scenarios: (S1) current intervention levels by averaging 2000-2010 coverage; (S2) increased ART coverage with current TLC; (S3) increased TLC/ART coverage; (S4) increased condom use; and (S5) increased TLC/ART plus increased condom use.

resultsThe basic reproduction number based upon the current level of interventions is significantly higher than 1 (R0 = 2.09; 95% confidence interval (CI), 1.83-2.35), suggesting that the HIV epidemic will continue to increase to 2020. Compared to the 2010 prevalence of 7.8%, the projected HIV prevalence in 2020 for the five prevention scenarios will be: (S1) Current coverage: 21.4% (95% CI, 9.9-31.7%); (S2) Increased ART: 19.9% (95% CI, 9.9-28.4%); (S3) Increased TLC/ART: 14.5% (95% CI, 7.0-23.8%); (S4) Increased condom use: 13.0% (95% CI, 9.8-28.4%); and (S5) Increased TLC/ART and condom use: 8.7% (95% CI, 5.4-11.5%). HIV epidemic will continue to rise (R0 > 1) for S1-S4 even with hyperbolic coverage in the sensitivity analysis, and is expected to decline (R0 = 0.93) for S5.

conclusionOur transmission model suggests that Beijing MSM will have a rapidly rising HIV epidemic. Even enhanced levels of TLC/ART will not interrupt epidemic expansion, despite optimistic assumptions for coverage. Promoting condom use is a crucial component of combination interventions.

Indexed as

Acquired Immunodeficiency SyndromeAdolescentAdultAnti-HIV AgentsBeijingCommunicable Disease ControlCondomsEpidemicsHealth EducationHealth Services AccessibilityHIV InfectionsHomosexuality, MaleHumansIncidenceMaleMiddle AgedAnti-HIV Agents

Identifiers

PMID24626165
PMCPMC3953201
OpenAlexW2071859726

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.