Evidence map›Paper›PMID 30626659›Full record

ArticleJournal of clinical microbiology2019

A Simpler and More Sensitive Single-Copy HIV-1 RNA Assay for Quantification of Persistent HIV-1 Viremia in Individuals on Suppressive Antiretroviral Therapy.

Melissa A Tosiano, Jana L Jacobs, Kathleen A Shutt, Joshua C Cyktor, John W Mellors

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Prospective HIV RNA screening with long-acting cabotegravir pre-exposure prophylaxis in HPTN 083.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Proviruses in CD4Science translational medicine · 2025
    Article
  11. HIV-1 testing in the context of expanding PrEP modalities.Journal of the International AIDS Society · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Validation of digital droplet PCR assays for cell-associated HIV-1 DNA, HIV-1 2-LTR circle, and HIV-1 unspliced RNA for clinical studies in HIV-1 cure research.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
    Article
  16. Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 1 institution in 1 country.

Melissa A TosianoDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA mat191@pitt.edu jwm1@pitt.edu.
Jana L JacobsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kathleen A ShuttDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joshua C CyktorDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
John W MellorsDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA mat191@pitt.edu jwm1@pitt.edu.
University of Pittsburgh · US

Funding

Combined Immunologic Approaches to Cure HIV-1UM1AI126603 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H., MELLORS, JOHN W · 2016 to 2020
$23.6M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIAID NIH HHS UM1 AI126603
6 · The paper itself

Abstract

A real-time quantitative reverse transcriptase PCR assay with single-copy sensitivity targeting the integrase region of HIV-1 (integrase single-copy assay [iSCA] v1.0) has been widely used to quantify plasma viremia in individuals on antiretroviral therapy (ART). iSCA v1.0 requires the use of an ultracentrifuge, and only about half of the nucleic acid extracted from plasma is assayed for HIV-1 RNA. We sought to simplify sample processing using microcentrifugation and improve assay sensitivity by testing more than 75% of the total extracted nucleic acid for HIV-1 RNA (iSCA v2.0). We evaluated the limit of detection (LoD) of iSCA v2.0 by testing replicates of low-copy plasma HIV-1 RNA standards. By probit analysis, the 95% LoD was 1 copy of HIV-1 RNA per milliliter for a 5-ml plasma sample. To compare the sensitivity of iSCA v1.0 and v2.0, we tested plasma samples with both assays from 60 participants on ART with HIV-1 RNA below 20 cps/ml. Of the 31 samples that had no detectable HIV-1 RNA by iSCA v1.0, 17 (55%) were detectable by v2.0 with an HIV-1 RNA mean value of 3.5 cps/ml. Twenty-nine samples were detectable with both assay versions, but average values of HIV-1 RNA cps/ml were 2.7-fold higher for v2.0 than v1.0. These results support the adoption of a new, more sensitive and simpler single-copy HIV-1 RNA assay (iSCA v2.0) to quantify residual viremia on ART and to assess the impact of experimental interventions designed to decrease HIV-1 reservoirs.

Indexed as

Anti-Retroviral AgentsHIV-1HIV InfectionsHIV IntegraseHumansLimit of DetectionReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityViral LoadViremiaAnti-Retroviral AgentsHIV IntegraseRNA, Viralantiretroviral therapyHIV-1single-copy assay

Identifiers

PMID30626659
PMCPMC6425167
OpenAlexW2910449870

What OpenQuestion holds

Textmetadata
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.