Evidence map›Paper›PMID 31850159›Full record

ArticleAfrican journal of laboratory medicine2019

Assessment of the AQUIOS flow cytometer - An automated sample preparation system for CD4 lymphocyte PanLeucogating enumeration.

Daniel Rhodes, Guislaine Carcelain, Mike Keeney, Christophe Parizot, Dominika Benjamins, Laurine Genesta, Jin Zhang, Justin Rohrbach, Denise Lawrie, Deborah K Glencross

Abstract read
In one paragraph

Article in African journal of laboratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Daniel RhodesClinical Affairs, Beckman Coulter Immunotech, Marseille, France.ORCID https://orcid.org/0000-0002-1346-9305
Guislaine CarcelainImmunology Laboratory, Assistance Publique Hopitaux De Paris, Paris, France.ORCID https://orcid.org/0000-0002-3192-3858
Mike KeeneyLawson Health Research Institute, London Health Sciences Centre and St. Joseph's Health Care, Victoria Hospital, London, Ontario, Canada.ORCID https://orcid.org/0000-0003-0868-5828
Christophe ParizotDepartment of Immunology, University Hospital, Paris, France.ORCID https://orcid.org/0000-0001-5723-4471
Dominika BenjaminsLondon Health Sciences Centre, London, Ontario, Canada.ORCID https://orcid.org/0000-0001-7495-7663
Laurine GenestaBiomnis Laboratory, Lyon, France.ORCID https://orcid.org/0000-0002-2855-9135
Jin ZhangLife Science Flow Cytometry, Beckman Coulter Incorporated, Miami, Florida, United States.ORCID https://orcid.org/0000-0001-9704-7726
Justin RohrbachClinical affairs, Beckman Coulter Incorporated, Miami, Florida, United States.ORCID https://orcid.org/0000-0001-8382-1290
Denise LawrieNational Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-7851-2706
Deborah K GlencrossFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7106-769X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFlow cytometry has been the approach of choice for enumerating and documenting CD4-cell decline in HIV monitoring. Beckman Coulter has developed a single platform test for CD4+ T-cell lymphocyte count and percentage using PanLeucogating (PLG) technology on the automated AQUIOS flow cytometer (AQUIOS PLG).

objectivesThis study compared the performance of AQUIOS PLG with the Flowcare PLG method and performed a reference interval for comparison with those previously published.

methodsThe study was conducted between November 2014 and March 2015 at 5 different centres located in Canada; Paris, France; Lyon, France; the United States; and South Africa. Two-hundred and forty samples from HIV-positive adult and paediatric patients were used to compare the performances of AQUIOS PLG and Flowcare PLG on a FC500 flow cytometer (Flowcare PLG) in determining CD4+ absolute count and percentage. A reference interval was determined using 155 samples from healthy, non-HIV adults. Workflow was investigated testing 440 samples over 5 days.

resultsMean absolute and relative count bias between AQUIOS PLG and Flowcare PLG was -41 cells/

conclusionThe AQUIOS PLG merges desirable aspects from conventional flow cytometer systems (high throughput, precision and accuracy, external quality assessment compatibility) with low technical operating skill requirements for automated, single platform systems.

Indexed as

cluster of differentiation 4, CD4 EnumerationHIVPanLeucogating

Identifiers

PMID31850159
PMCPMC6909423

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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.