Evidence map›Paper›PMID 25917935›Full record

ArticleCytometry. Part B, Clinical cytometry2017

Near patient CD4 count in a hospitalized HIV patient population.

Monique Givens, Amanda Weaver, Sarah Bickman, Cathy Logan, Emilia V Noormahomed, Sam Patel, Robert T Schooley, Constance A Benson, Michael J Lochhead

Open access · bronzeAbstract read
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Monique GivensMBio Diagnostics Inc., 5603 Arapahoe Ave, Suite 1, Boulder, Colorado, 80303.
Amanda WeaverMBio Diagnostics Inc., 5603 Arapahoe Ave, Suite 1, Boulder, Colorado, 80303.
Sarah BickmanMBio Diagnostics Inc., 5603 Arapahoe Ave, Suite 1, Boulder, Colorado, 80303.
Cathy LoganDepartment of Microbiology, Universidade Eduardo Mondlane, Maputo, Mozambique, Africa.
Emilia V NoormahomedDepartment of Microbiology, Universidade Eduardo Mondlane, Maputo, Mozambique, Africa.
Sam PatelDivision of Infectious Diseases, University of California, San Diego, 9500 Gilman Drive, MC 0711, San Diego, California, 92093.
Robert T SchooleyDivision of Infectious Diseases, University of California, San Diego, 9500 Gilman Drive, MC 0711, San Diego, California, 92093.
Constance A BensonDivision of Infectious Diseases, University of California, San Diego, 9500 Gilman Drive, MC 0711, San Diego, California, 92093.
Michael J LochheadMBio Diagnostics Inc., 5603 Arapahoe Ave, Suite 1, Boulder, Colorado, 80303.
MBio Diagnostics (United States) · USUniversity of California, San Diego · USEduardo Mondlane University · MZ

Funding

The Universidade Eduardo Mondlane/UCSD Medical Education PartnershipR24TW008908 · FIC · EDUARDO MONDLANE UNIVERSITY · PI NOORMAHOMED, EMILIA VIRGINIA · 2010 to 2015
$9.0M
Low Cost Laser Diagnostic for CD4+ T Cell CountingR44AI070052 · NIAID · PRECISION PHOTONICS CORPORATION (PPC) · PI LOCHHEAD, MICHAEL J · 2009 to 2013
$2.6M
FIC NIH HHS R24 TW008908NIAID NIH HHS R44 AI070052
6 · The paper itself

Abstract

backgroundPoint-of-care (POC) CD4 T-cell counting is increasingly recognized as providing improved linkage-to-care during management of HIV infection, particularly in resource-limited settings where disease burden is highest. This study evaluated prototype POC CD4 T-cell counters from MBio Diagnostics in the context of low CD4 count, hospitalized patients in Mozambique. This study measured system performance when presented with challenging, low count samples from HIV/AIDS patients with acute illnesses resulting in hospitalization.

methodsForty whole blood samples were collected from donors on the medical service at Maputo Central Hospital and absolute CD4 counts were generated on the MBio CD4 system and a reference laboratory using flow cytometry.

resultsThe mean and median CD4 counts by the flow cytometry reference were 173 and 80 cells/µL, respectively. Correlation between the MBio CD4 System and the reference was good. Bland-Altman analysis showed a mean bias of +15 cells/µL (+9 to +21 cells/µL, 95% CI), and limits of agreement of -47 to 77 cells/µL. For samples with counts >100 cells/µL (N = 14), the mean coefficient of variation was 7.3%. For samples with counts <50 cells/µL, mean absolute bias of replicate samples was 4.8 cells/µL. When two MBio readers were compared, Bland-Altman bias was -4 cells/µL (-13 to +6 cells/µL, 95% CI), and limits of agreement of -63 and +55 cells/µL.

conclusionsThe MBio System holds promise as a POC system for quantitation of CD4 T cells in resource-limited settings given system throughput (80-100 cartridges/day), design simplicity, and ease-of-use. © 2015 International Clinical Cytometry Society.

Indexed as

Point-of-Care SystemsCase-Control StudiesCD3 ComplexCD4 Lymphocyte CountCD4-Positive T-LymphocytesComputers, HandheldDeveloping CountriesFlow CytometryHIV InfectionsHumansImmunophenotypingLymphocyte SubsetsMobile ApplicationsMozambiqueReference StandardsReproducibility of ResultsCD3 ComplexCD4diagnosticHIVpoint-of-careT-cell

Identifiers

PMID25917935
PMCPMC5595587
OpenAlexW2109495967

What OpenQuestion holds

Textmetadata
LicenceTDM
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.