Evidence map›Paper›PMID 29427230›Full record

ArticleAIDS and behavior2018

Comparison of Self-report to Biomarkers of Recent HIV Infection: Findings from the START Trial.

Katherine E Schlusser, Shweta Sharma, Pola de la Torre, Giuseppe Tambussi, Rika Draenert, Angie N Pinto, Julia A Metcalf, Danielle German, James D Neaton, Oliver Laeyendecker and 1 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. 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

11 authors.

Katherine E SchlusserDepartment of Medicine, Johns Hopkins University School of Medicine, 855 North Wolfe St., Rangos Building, room 538A, Baltimore, MD, 21205, USA.
Shweta SharmaDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Pola de la TorreCooper University Hospital, Camden, NJ, USA.
Giuseppe TambussiIRCCS-Ospedale San Raffaele, Milan, Italy.
Rika DraenertSection Clinical Infectious Diseases, Klinikum der Universität Munich, Medizinische Klinik IV, Munich, Germany.
Angie N PintoThe Kirby Institute, UNSW Australia, Sydney, Australia.
Julia A MetcalfDivision of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Danielle GermanDepartment of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
James D NeatonDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Oliver LaeyendeckerDepartment of Medicine, Johns Hopkins University School of Medicine, 855 North Wolfe St., Rangos Building, room 538A, Baltimore, MD, 21205, USA. olaeyen1@jhmi.edu.ORCID http://orcid.org/0000-0002-6429-4760
INSIGHT START Study Group

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
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT)UM1AI068641 · NIAID · UNIVERSITY OF MINNESOTA · PI NEATON, JAMES DENNIS · 2011 to 2014
$83.5M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT): STARTUM1AI120197 · NIAID · UNIVERSITY OF MINNESOTA · PI NEATON, JAMES DENNIS · 2015 to 2017
$65.1M
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
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
Social networks, social resources, and HIV transmissionK01DA041259 · NIDA · JOHNS HOPKINS UNIVERSITY · PI GERMAN, DANIELLE · 2016 to 2020
$829k
Intramural NIH HHS Z99 AI999999Medical Research Council MC_UU_12023/23National Institute of Allergy and Infectious Diseases Division of Intramural ResearchNIAID NIH HHS P30 AI094189NIAID NIH HHS R01 AI095068NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068641NIAID NIH HHS UM1 AI120197NIDA NIH HHS K01 DA041259NIH HHS UM1 AI068613NIH HHS UM1-AI068641NIH HHS UM1-AI120197
6 · The paper itself

Abstract

Identifying individuals with recent HIV infection is critical to research related to viral reservoirs, outbreak investigations and intervention applications. A multi-assay algorithm (MAA) for recency of infection was used in conjunction with self-reported date of infection and documented date of diagnosis to estimate the number of participants recently infected in the Strategic Timing of AntiRetroviral Treatment (START) trial. We tested samples for three groups of participants from START using a MAA: (1) 167 individuals who reported being infected ≤ 6 months before randomization; (2) 771 individuals who did not know their date of infection but were diagnosed within 6 months before randomization; and (3) as controls for the MAA, 199 individuals diagnosed with HIV ≥ 2 years before randomization. Participants with low titer and avidity and a baseline viral load > 400 copies/mL were classified as recently infected. A significantly higher percentage of participants who self-reported being infected ≤ 6 months were classified as recently infected compared to participants diagnosed ≥ 2 years (65% [109/167] vs. 2.5% [5/199], p < 0.001). Among the 771 individuals who did not know their duration of infection at randomization, 206 (26.7%) were classified as recently infected. Among those diagnosed with HIV in the 6 months prior to enrollment, the 373 participants who reported recent infection (n = 167) or who had confirmed recent infection by the MAA (n = 206) differed significantly on a number of baseline characteristics from those who had an unknown date of infection and were not confirmed by the MAA (n = 565). Participants recently infected by self-report and/or MAA were younger, more likely to be Asian, less likely to be black, less likely to be heterosexual, more likely to be enrolled at sites in the U.S., Europe or Australia, and have higher HIV RNA levels. There was good agreement between self-report of recency of infection and the MAA. We estimate that 373 participants enrolled in START were infected within 6 months of randomization. Compared to those not recently infected, these participants were younger, had higher HIV RNA levels and were more likely to come from high income countries and from populations such as MSM with more regular HIV testing.

Indexed as

Self ReportAdultAge FactorsAlgorithmsAnti-Retroviral AgentsAustraliaBiomarkersCD4 Lymphocyte CountEthnicityEuropeFemaleHeterosexualityHIV InfectionsHomosexuality, MaleHumansLogistic ModelsAnti-Retroviral AgentsBiomarkersBiomarkersRecent HIV infectionSelf-reportSTART trial

Identifiers

PMID29427230
PMCPMC6021209

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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.