ArticleJournal of clinical microbiology2014
Clinical evaluation of BioPlex 2200 HIV Ag-Ab, an automated screening method providing discrete detection of HIV-1 p24 antigen, HIV-1 antibody, and HIV-2 antibody.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled 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.
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
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Low clinical impact of HIV drug resistance mutations in oral pre-exposure prophylaxis: a systematic review and meta-analysis.AIDS research and therapy · 2024Pooled it
- Different approaches to HIV confirmation: a survey of three Italian regions.Frontiers in cellular and infection microbiology · 2026Article
- High sensitivity of HIV antibody screening tests may lead to longer time to diagnosis: a Case Report.Frontiers in medicine · 2025Article
- Evaluation of a new human immunodeficiency virus antigen and antibody test using light-initiated chemiluminescent assay.Frontiers in cellular and infection microbiology · 2025Article
- Recent HIV Infection: Diagnosis and Public Health Implications.Diagnostics (Basel, Switzerland) · 2022Review
- Review
- Evaluation of serological assays for the diagnosis of HIV infection in adults.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2021Article
- Machine Learning Classification of False-Positive Human Immunodeficiency Virus Screening Results.Journal of pathology informatics · 2021Article
- Science over stigma: the need for evidence-based blood donation policies for men who have sex with men in the USA.The Lancet. Haematology · 2020Article
- Data on the relationship of signal-to-cutoff ratio of two HIV antigen/antibody combination assays to subsequent confirmation of HIV-1 infection in a low-prevalence population.Data in brief · 2020Article
- A New Perspective on HIV Diagnostics: Reinterpretation in the Age of Early Treatment.Journal of clinical microbiology · 2019Article
- Analytical and Clinical Performance Evaluation of the Elecsys HIV combi PT Assay on the cobas e 602 Analyzer for the Diagnosis of Human Immunodeficiency Virus.American journal of clinical pathology · 2019Article
- Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019Review
- Application of droplet digital PCR to detect the pathogens of infectious diseases.Bioscience reports · 2018Review
- Performance evaluation of the FDA-approved Determine™ HIV-1/2 Ag/Ab Combo assay using plasma and whole blood specimens.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2017Article
- The characteristics of screening and confirmatory test results for HIV in Xi'an, China.PloS one · 2017Article
- Human Immunodeficiency Virus Diagnostic Testing: 30 Years of Evolution.Clinical and vaccine immunology : CVI · 2016Review
- Review
- ELISA in the multiplex era: potentials and pitfalls.Proteomics. Clinical applications · 2015Review
- HIV testing updates and challenges: when regulatory caution and public health imperatives collide.Current HIV/AIDS reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early and accurate diagnosis is essential for optimal therapeutic outcomes in patients infected with HIV. Currently, none of the commercially available fourth-generation assays differentiate HIV-1 and HIV-2 antibodies (Ab) or the HIV-1 p24 antigen (Ag). The aim of this study was to evaluate the performance of a novel assay, the BioPlex 2200 HIV Ag-Ab. This assay uses a multiplex flow immunoassay design allowing the simultaneous detection and identification of antibodies to HIV-1 (groups M and O), HIV-2, and the HIV-1 p24 antigen, in addition to providing a traditional composite result. A total of 1,505 routine serum samples were prospectively tested. Results were compared with those from the Architect HIV Combo assay. The sensitivity of the BioPlex 2200 was 100%. The specificity assessed on repeated false-positive samples was 99.5%. In addition, 524 frozen specimens from patients known to be infected with HIV-1 or HIV-2 were tested. Of these specimens, 420 were infected with HIV-1, including 156 of known genotypes, 86 were infected with HIV-2, 7 were infected with HIV-1 and HIV-2, and 11 were from patients with acute HIV infection. Sensitivity was 100% for the HIV genotypes tested. The differentiation capabilities of the BioPlex 2200 HIV Ag-Ab assay for HIV-1, HIV-2, dual HIV-1/HIV-2, and early infections were 100%, 90.7%, 100%, and 90.9%, respectively. The BioPlex 2200 is a sensitive and specific assay that offers advantages over conventional HIV combo assays, also referred to as fourth-generation assays, to accurately differentiate and report HIV-1 p24 antigen and HIV-1 and HIV-2 antibodies.
Indexed as
Identifiers
What OpenQuestion holds
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.