Evidence map›Paper›PMID 28231277›Full record

ArticlePloS one2017

Comparison of cross-sectional HIV incidence assay results from dried blood spots and plasma.

Katherine E Schlusser, Christopher Pilcher, Esper G Kallas, Breno R Santos, Steven G Deeks, Shelley Facente, Sheila M Keating, Michael P Busch, Gary Murphy, Alex Welte and 3 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Observational
  4. Review
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  11. Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019
    Review
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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

13 authors.

Katherine E SchlusserDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Christopher PilcherDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, CA, United States of America.
Esper G KallasUniversity of São Paulo, São Paulo, Brazil.
Breno R SantosGrupo Hospitalar Conceicao, Porto Alegre, Brazil.
Steven G DeeksDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, CA, United States of America.
Shelley FacenteDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, CA, United States of America.
Sheila M KeatingDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, CA, United States of America.
Michael P BuschDepartment of Medicine, School of Medicine, University of California at San Francisco, San Francisco, CA, United States of America.
Gary MurphyPublic Health England, London, United Kingdom.
Alex WelteThe South African DST/NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Thomas QuinnDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Susan H EshlemanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.
Oliver LaeyendeckerDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America.ORCID http://orcid.org/0000-0002-6429-4760

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
UCLA AIDS Prevention and Treatment Clinical Trials UnitU01AI069424 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CURRIER, JUDITH S. · 2007 to 2011
$13.9M
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI095068NIAID NIH HHS U01 AI069424NIAID NIH HHS UM1 AI068613
6 · The paper itself

Abstract

backgroundAssays have been developed for cross-sectional HIV incidence estimation using plasma samples. Large scale surveillance programs are planned using dried blood spot (DBS) specimens for incidence assessment. However, limited information exists on the performance of HIV cross-sectional incidence assays using DBS.

methodsThe assays evaluated were: Maxim HIV-1 Limiting Antigen Avidity EIA (LAg-Avidity), Sedia HIV-1 BED-Capture EIA (BED-CEIA), and CDC modified BioRad HIV-1/2 Plus O Avidity-based Assay (CDC-BioRad Avidity) using pre-determined cutoff values. 100 matched HIV-1 positive plasma and DBS samples, with known duration of infection, from the Consortium for the Evaluation and Performance of HIV Incidence Assays repository were tested. All assays were run in duplicate. To examine the degree of variability within and between results for each sample type, both categorical and continuous results were analyzed. Associations were assessed with Bland Altman, R2 values and Cohen's kappa coefficient (ĸ).

resultsIntra-assay variability using the same sample type was similar for all assays (R2 0.96 to 1.00). The R2 values comparing DBS and plasma results for LAg-Avidity, BED-CEIA, and CDC-BioRad Avidity were 0.96, 0.94, and 0.84, respectively. The concordance and ĸ values between DBS and plasma for all three assays were >87% and >0.64, respectively. The Bland-Altman analysis showed significant differences between plasma and DBS samples. For all three assays, a higher number of samples were classified as recent infections using DBS samples.

conclusionsDBS and plasma sample results were highly correlated. However, when compared to plasma, each assay performed somewhat differently in DBS at the lower and higher ends of the dynamic range. DBS samples were more likely to be classified as recently infected by all three assays, which may lead to overestimation of incidence in surveys using performance criteria derived for plasma samples.

Indexed as

Dried Blood Spot TestingCross-Sectional StudiesHIV-1HIV InfectionsHumansIncidenceViral Load

Identifiers

PMID28231277
PMCPMC5322916

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Registered trials

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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.