Evidence map›Paper›PMID 33476928›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2021

Field evaluation of HIV-1 viral load monitoring in adults and children receiving antiretroviral treatment in Nigeria by dried blood spot testing with RealTime HIV-1 on m2000.

Monday Tola, Ramadhani O Habib, Adebajo Sylvia, Trevor A Crowell, Nowak G Rebecca, Manhattan E Charurat, Patrick Dakum, Nicaise Ndembi

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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  4. 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

8 authors at 3 institutions in 4 countries.

Monday TolaInstitute of Human Virology Nigeria, Abuja, Federal Capital Territory, Nigeria.
Ramadhani O HabibInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Adebajo SylviaMaryland Global Initiatives Corporation, University of Maryland, Nigeria.
Trevor A CrowellHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
Nowak G RebeccaInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Manhattan E CharuratInstitute of Human Virology Nigeria, Abuja, Federal Capital Territory, Nigeria; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Patrick DakumInstitute of Human Virology Nigeria, Abuja, Federal Capital Territory, Nigeria; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
Nicaise NdembiInstitute of Human Virology Nigeria, Abuja, Federal Capital Territory, Nigeria; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA; Africa Centers for Disease Control and Prevention (Africa CDC), African Union Commission, Addis Ababa, Ethiopia; Kanazawa University, Graduate Medical Sciences, Kanazawa, Japan. Electronic address: nndembi@ihvnigeria.org.
Institute of Human Virology · NGUniversity of Maryland, Baltimore · USHenry M. Jackson Foundation · US

Funding

Impact of Non - B HIV - 1 Subtype on second line Protease Inhibitor Regimens in Africa (INSPIRE)R01AI147331 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI CHARURAT, MANHATTAN E, NDEMBI, NICAISE · 2020 to 2025
$2.9M
NIAID NIH HHS R01 AI147331PEPFAR
6 · The paper itself

Abstract

In resource-limited settings, use of dried blood spots (DBS) could be a pragmatic alternative to plasma for VL monitoring in people living with HIV (PLWH). We compared results from DBS to standard plasma VL testing under field conditions in patients receiving antiretroviral therapy (ART). DBS cards were prepared from venous blood (V-DBS), finger-pricks using micro-capillary tubes (M-DBS), and direct spotting (D-DBS). DBS and matched EDTA plasma were tested on the Abbott m2000 platform using the appropriate RealTime HIV-1 quantitative CE protocol. Matched plasma samples were also tested on the Roche COBAS Ampliprep/COBAS TaqMan version 2.0. Diagnostic accuracy indicators (sensitivity, specificity, misclassification rate, and kappa coefficient) for viral failure (VF) based on different VL threshold levels and agreement of absolute VL were calculated. A total of 669 participants provided 2676 samples. V-DBS had a peak sensitivity for VF of 89.1 % [95 % CI: 85.5-92.7] at the 1000 copies/mL threshold and a peak specificity of 97.4 % [95 % CI: 95.9-99.0] at the 5000 copies/mL threshold. The lowest proportion of upward misclassification (patients classified with VF who actually had viral suppression) for V-DBS was 3.1 % [95 % CI: 1.4-4.8] at the 5000 copies/mL threshold, whereas the lowest proportion of downward misclassification (patients classified as undetectable who actually had VF) was 10.9 % [95 % CI: 7.2-14.5] at the 1000 copies/mL threshold. Abbott RealTime HIV-1 VL results from all 3 DBS types for adults and children showed strong correlation with the gold standard plasma-based assay. DBS could be useful for monitoring VL in resource limited settings such as Nigeria.

Indexed as

HIV-1HIV InfectionsAdultChildDried Blood Spot TestingHumansNigeriaRNA, ViralSensitivity and SpecificitySpecimen HandlingViral LoadRNA, ViralAntiretroviral therapyDried blood spotHIVMisclassificationViral load

Identifiers

PMID33476928
PMCPMC9518813
OpenAlexW3106550141

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.