Evidence map›Paper›PMID 34919554›Full record

Trial reportPloS one2021

Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART).

Wendy Grant-McAuley, Ethan Klock, Oliver Laeyendecker, Estelle Piwowar-Manning, Ethan Wilson, William Clarke, Autumn Breaud, Ayana Moore, Helen Ayles, Barry Kosloff and 9 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Review
  11. Low awareness of HIV status and high proportion of recent infections among young travestis and trans women in Brazil.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

19 authors at 8 institutions in 4 countries.

Wendy Grant-McAuleyDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-7002-3676
Ethan KlockDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Oliver LaeyendeckerDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Estelle Piwowar-ManningDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Ethan WilsonFred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
William ClarkeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Autumn BreaudDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Ayana MooreFHI360, Durham, North Carolina, United States of America.
Helen AylesZambart, University of Zambia School of Medicine, Lusaka, Zambia.
Barry KosloffZambart, University of Zambia School of Medicine, Lusaka, Zambia.
Kwame ShanaubeZambart, University of Zambia School of Medicine, Lusaka, Zambia.
Peter BockDesmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa.
Nomtha MandlaDesmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa.
Anneen van DeventerDesmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa.
Sarah FidlerDepartment of Infectious Disease, Imperial College London, London, United Kingdom.
Deborah DonnellFred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Richard HayesDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Susan H EshlemanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-4587-791X
HPTN 071 (PopART) Study Team
Johns Hopkins University · USDesmond Tutu HIV Foundation · ZAUniversity of Zambia · ZMFred Hutch Cancer Center · USFamily Health International 360 · USImperial College London · GBLondon School of Hygiene & Tropical Medicine · GBNational Institutes of Health · US

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
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
Stellenbosch University Clinical Trial Unit, Cape Town, South AfricaUM1AI069521 · NIAID · STELLENBOSCH UNIVERSITY · PI Shaun Barnabas, Anneke Catharina Hesseling · 2012 to 2026
$21.5M
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
Medical Research Council MR/R010161/1NIAID NIH HHS R01 AI095068NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI069521PEPFAR
6 · The paper itself

Abstract

backgroundAssays and multi-assay algorithms (MAAs) have been developed for population-level cross-sectional HIV incidence estimation. These algorithms use a combination of serologic and/or non-serologic biomarkers to assess the duration of infection. We evaluated the performance of four MAAs for individual-level recency assessments.

methodsSamples were obtained from 220 seroconverters (infected <1 year) and 4,396 non-seroconverters (infected >1 year) enrolled in an HIV prevention trial (HPTN 071 [PopART]); 28.6% of the seroconverters and 73.4% of the non-seroconverters had HIV viral loads ≤400 copies/mL. Samples were tested with two laboratory-based assays (LAg-Avidity, JHU BioRad-Avidity) and a point-of-care assay (rapid LAg). The four MAAs included different combinations of these assays and HIV viral load. Seroconverters on antiretroviral treatment (ART) were identified using a qualitative multi-drug assay.

resultsThe MAAs identified between 54 and 100 (25% to 46%) of the seroconverters as recently-infected. The false recent rate of the MAAs for infections >2 years duration ranged from 0.2%-1.3%. The MAAs classified different overlapping groups of individuals as recent vs. non-recent. Only 32 (15%) of the 220 seroconverters were classified as recent by all four MAAs. Viral suppression impacted the performance of the two LAg-based assays. LAg-Avidity assay values were also lower for seroconverters who were virally suppressed on ART compared to those with natural viral suppression.

conclusionsThe four MAAs evaluated varied in sensitivity and specificity for identifying persons infected <1 year as recently infected and classified different groups of seroconverters as recently infected. Sensitivity was low for all four MAAs. These performance issues should be considered if these methods are used for individual-level recency assessments.

Indexed as

SeroconversionAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCross-Sectional StudiesFemaleHIV-1HIV InfectionsHumansImmunoenzyme TechniquesIncidenceMaleMiddle AgedSensitivity and SpecificitySouth AfricaTime FactorsAnti-HIV Agents

Identifiers

PMID34919554
PMCPMC8682874
OpenAlexW4200017264

What OpenQuestion holds

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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.