ArticleJournal of immunological methods2013
Performance evaluation of the MBio Diagnostics point-of-care CD4 counter.
Article in Journal of immunological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- CD4 enumeration technologies: a systematic review of test performance for determining eligibility for antiretroviral therapy.PloS one · 2015Pooled it
- A flow-through cell counting assay for point-of-care enumeration of CD4 T-cells.Journal of virological methods · 2019Article
- Point of Care Diagnostics for HIV in Resource Limited Settings: An Overview.Medicina (Kaunas, Lithuania) · 2018Review
- Near patient CD4 count in a hospitalized HIV patient population.Cytometry. Part B, Clinical cytometry · 2017Article
- Article
- Evanescent wave fluorescence biosensors: Advances of the last decade.Biosensors & bioelectronics · 2016Review
- Article
- Laboratory and field evaluation of the Partec CyFlow miniPOC for absolute and relative CD4 T-cell enumeration.PloS one · 2015Article
- Feasibility of HIV point-of-care tests for resource-limited settings: challenges and solutions.BMC medicine · 2014Article
- WHO multicenter evaluation of FACSCount CD4 and Pima CD4 T-cell count systems: instrument performance and misclassification of HIV-infected patients.Journal of acquired immune deficiency syndromes (1999) · 2014Article
- Developments in CD4 and viral load monitoring in resource-limited settings.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
The measurement of the absolute CD4 T-cell count is critical in the initial evaluation and staging of HIV-infected persons, yet access to this technology remains limited in many low resource settings where disease burden is highest. Here we evaluate the performance of a prototype point-of-care device (POC) to quantify CD4 T cells from MBio Diagnostics, Inc. Whole blood samples, both venous and capillary (finger stick), were collected from known HIV-infected participants at the University of California, San Diego Antiviral Research Center, and tested using the MBio system and conventional flow cytometry. A total of 94 venipuncture and 52 capillary samples were processed and statistical analyses included comparison to flow cytometry results. For the venipuncture samples, Bland-Altman analysis resulted in a mean bias of -10 cells/μL (-23 to +3 cells/μL, 95% CI), and limits of agreement (LOA) of -132 and +112 cells/μL. For the capillary samples, Bland-Altman resulted in a mean bias of -4 cells/μL (-31 to +23 cells/μL, 95% CL), and LOA of -195 and +186 cells/μL. For the San Diego study cohort, the prototype MBio system showed negligible quantitative bias relative to flow cytometry. Higher variability was observed in the capillary samples relative to venipuncture, but system precision for both capillary and venipuncture samples was good. There was also close agreement between results from the same participant when tested with two different systems, different operators and different locations. This preliminary evaluation suggests that the MBio CD4 device holds promise as a POC system for quantitation of CD4 T cells in limited-resource settings.
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Registered trials
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.