Evidence map›Paper›PMID 39053895›Full record

ArticleInfluenza and other respiratory viruses2024

Diagnostic Accuracy of the Abbott BinaxNOW COVID-19 Antigen Card Test, Puerto Rico.

Zachary J Madewell, Chelsea G Major, Nathan Graff, Cameron Adams, Dania M Rodriguez, Tatiana Morales, Nicole A Medina Lopes, Rafael Tosado, Liliana Sánchez-González, Janice Perez-Padilla and 11 more

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Sentinel Enhanced Dengue Surveillance System - Puerto Rico, 2012-2022.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2024
    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

21 authors.

Zachary J MadewellDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.ORCID 0000-0002-5667-9660
Chelsea G MajorDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Nathan GraffDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Cameron AdamsDepartment of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Dania M RodriguezDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Tatiana MoralesPonce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico.
Nicole A Medina LopesDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Rafael TosadoDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Liliana Sánchez-GonzálezDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Janice Perez-PadillaDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Hannah R VolkmanDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.ORCID 0000-0001-7274-9641
Jorge Bertrán-PasarellAuxilio Mutuo Hospital, San Juan, Puerto Rico.
Diego Sainz de la PeñaAuxilio Mutuo Hospital, San Juan, Puerto Rico.
Jorge Munoz-JordanDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Gilberto A SantiagoDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Olga LorenziDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Vanessa Rivera-AmillPonce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico.
Melissa A RolfesInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-0483-9941
Gabriela Paz-BaileyDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.ORCID 0000-0001-8478-4911
Laura E AdamsDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Joshua M WongDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.

Funding

ACL HHS U01CK000580NCEZID CDC HHS U01 CK000437NCEZID CDC HHS U01CK000437NCEZID CDC HHS U01 CK000580
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic underscored the need for rapid and accurate diagnostic tools. In August 2020, the Abbott BinaxNOW COVID-19 Antigen Card test became available as a timely and affordable alternative for SARS-CoV-2 molecular testing, but its performance may vary due to factors including timing and symptomatology. This study evaluates BinaxNOW diagnostic performance in diverse epidemiological contexts.

methodsUsing RT-PCR as reference, we assessed performance of the BinaxNOW COVID-19 test for SARS-CoV-2 detection in anterior nasal swabs from participants of two studies in Puerto Rico from December 2020 to May 2023. Test performance was assessed by days post symptom onset, collection strategy, vaccination status, symptomatology, repeated testing, and RT-PCR cycle threshold (Ct) values.

resultsBinaxNOW demonstrated an overall sensitivity of 84.1% and specificity of 98.8%. Sensitivity peaked within 1-6 days after symptom onset (93.2%) and was higher for symptomatic (86.3%) than asymptomatic (67.3%) participants. Sensitivity declined over the course of infection, dropping from 96.3% in the initial test to 48.4% in testing performed 7-14 days later. BinaxNOW showed 99.5% sensitivity in participants with low Ct values (≤ 25) but lower sensitivity (18.2%) for participants with higher Cts (36-40).

conclusionsBinaxNOW demonstrated high sensitivity and specificity, particularly in early-stage infections and symptomatic participants. In situations where test sensitivity is crucial for clinical decision-making, nucleic acid amplification tests are preferred. These findings highlight the importance of considering clinical and epidemiological context when interpreting test results and emphasize the need for ongoing research to adapt testing strategies to emerging SARS-CoV-2 variants.

Indexed as

COVID-19SARS-CoV-2Sensitivity and SpecificityAdolescentAdultAgedAntigens, ViralCOVID-19 Serological TestingCOVID-19 TestingFemaleHumansMaleMiddle AgedPuerto RicoYoung AdultAntigens, Viraldiagnostic accuracyOmicronPuerto Ricorapid antigen testSARS‐CoV‐2sensitivity

Identifiers

PMID39053895
PMCPMC11300111

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.