Evidence map›Paper›PMID 27521468›Full record

ArticleThe Journal of infection2016

Screening for acute HIV infection in community-based settings: Cost-effectiveness and impact on transmissions.

Martin Hoenigl, Antoine Chaillon, Sanjay R Mehta, Davey M Smith, Joshua Graff-Zivin, Susan J Little

Open access · greenAbstract read
In one paragraph

Article in The Journal of infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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  13. How can we detect HIV during the acute or primary stage of infection?Expert review of molecular diagnostics · 2016
    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

6 authors at 2 institutions in 2 countries.

Martin HoeniglDivision of Infectious Diseases, University of California San Diego (UCSD), 220 Dickinson Street, Suite A, San Diego, CA 92103, United States; Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 20, 8036 Graz, Austria; Section of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria. Electronic address: mhoenigl@ucsd.edu.
Antoine ChaillonDivision of Infectious Diseases, University of California San Diego (UCSD), 220 Dickinson Street, Suite A, San Diego, CA 92103, United States.
Sanjay R MehtaDivision of Infectious Diseases, University of California San Diego (UCSD), 220 Dickinson Street, Suite A, San Diego, CA 92103, United States; Veterans Affairs Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Davey M SmithDivision of Infectious Diseases, University of California San Diego (UCSD), 220 Dickinson Street, Suite A, San Diego, CA 92103, United States; Veterans Affairs Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, United States.
Joshua Graff-ZivinSchool of International Relations and Pacific Studies, Department of Economics, UCSD, 9500 Gilman Dr. # 0520, La Jolla, CA 92093, United States.
Susan J LittleDivision of Infectious Diseases, University of California San Diego (UCSD), 220 Dickinson Street, Suite A, San Diego, CA 92103, United States.
University of California, San Diego · USVeterans Health Administration · US

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
Translational Methamphetamine AIDS Research Center (TMARC)P50DA026306 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRANT, IGOR · 2009 to 2018
$33.9M
Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2008 to 2012
$23.1M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Southern California Primary Infection ProgramU01AI043638 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 1998 to 2010
$21.3M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
Efficacy of ART to Interrupt HIV Transmission NetworksR01MH100974 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2014 to 2018
$3.2M
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 P01 AI074621NIAID NIH HHS P30 AI036214NIAID NIH HHS R21 AI108351NIAID NIH HHS R24 AI106039NIAID NIH HHS U01 AI043638NIDA NIH HHS P50 DA026306NIMH NIH HHS P30 MH062512NIMH NIH HHS R01 MH100974NIMH NIH HHS R25 MH081482
6 · The paper itself

Abstract

objectivesTo determine cost-effectiveness of three community-based acute HIV infection (AHI) testing algorithms compared to HIV antibody testing alone by focusing on the potential of averting new infections occurring within a one-year time horizon among men who have sex with men (MSM).

methodsData sources for model parameters included actual cost and prevalence data derived from a community-based AHI screening program in San Diego, and published studies. Main outcome measure was costs per infection averted (IA). The lower end of the cost range of discounted lifetime costs of an HIV infection (i.e. $236,948) was used for defining cost-effectiveness.

resultsThe most sensitive algorithm for AHI detection, which was based on HIV nucleic acid amplification testing, was estimated to prevent between 5 and 45 transmissions, with simulated costs per infection averted between $965 and $141,256 when compared to HIV antibody testing alone.

conclusionAHI testing was cost-effective in preventing new HIV infections among at risk MSM in San Diego, and also among other MSM populations with similar HIV prevalence but lower proportions of AHI diagnoses. These results indicate that community-based AHI testing among MSM in the United States can pay for itself over the long run.

Indexed as

HIV InfectionsAlgorithmsCaliforniaCost-Benefit AnalysisEarly DiagnosisHealth PromotionHomosexuality, MaleHumansMaleMonte Carlo MethodPreventive Health ServicesRisk AssessmentSafe SexSensitivity and SpecificityAcute HIVCost analysisHIV transmissionInfection avertedMSMNATTesting

Identifiers

PMID27521468
PMCPMC5143169
OpenAlexW2513874557

What OpenQuestion holds

Textmetadata
LicenceTDM
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.