ArticlePRiMER (Leawood, Kan.)2022
Rapid Antigen Test Sensitivity for Asymptomatic COVID-19 Screening.
Article in PRiMER (Leawood, Kan.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 7 citations in OpenAlex.
- Knowledge user involvement is still uncommon in published rapid reviews-a meta-research cross-sectional study.Research synthesis methods · 2025Article
- Ten rapid antigen tests for SARS-CoV-2 widely differ in their ability to detect Omicron-BA.4 and -BA.5.Medical microbiology and immunology · 2023Article
- SARS-CoV-2 antigen tests for screening of healthcare workers; experience with over 48,000 combined antigen tests and RT-PCR tests.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2023Article
- The U.S. Travel Health Pharmacists' Role in a Post-COVID-19 Pandemic Era.Pharmacy (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Operating in-person instruction, residential living, and other activities at institutions of higher education (IHEs) in the context of the pandemic of severe acute respiratory syndrome-coronavirus 2 (SARS-Cov2) have posed a multitude of challenges. Identification of asymptomatic cases at IHEs is crucial, as a large reservoir of virus can potentially develop among students. Unfortunately, despite the advantages, rapid antigen tests (RATs) have variously been shown to perform poorly when used with asymptomatic individuals. Methods: In order to address the appropriateness of RAT use in screening asymptomatic populations like those at IHEs, we conducted a rapid review of published evaluations of RATs available in the United States, where sensitivity and specificity were reported specifically from asymptomatic populations. We extracted sensitivity and specificity for asymptomatic populations reported in each article, along with location and important notes. The data are presented narratively. Results: A total of 11 articles were included for evaluation and presentation, representing tests from four manufacturers. Sensitivity ranged from 35.8% to a high of about 71%, with caveats to the higher number about exposure. Both the low and high sensitivity rates were observed in Abbott BinaxNOW RATs. Due to heterogeneity and publishing differences, a meta-analysis was not feasible, but RAT tests in asymptomatic populations tended to identify roughly half of those identified as infected via reverse transcription-polymerase chain reaction. Specificity ranged from 97.8% to 100%. Conclusion: The results of this rapid review indicate serious issues in misidentifying asymptomatic individuals as COVID-19 negative, when in fact they are infected and carrying the SARS-Cov2 virus.
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.