Evidence map›Paper›PMID 34272205›Full record

ReviewJournal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi2021

The evolution of rapid antigen detection systems and their application for COVID-19 and other serious respiratory infectious diseases.

Charles S Pavia, Maria M Plummer

Open access · goldAbstract readReview
In one paragraph

Review in Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 42 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

2 authors at 1 institution in 1 country.

Charles S PaviaNew York Institute of Technology, Department of Biomedical Sciences and Department of Clinical Specialties, College of Osteopathic Medicine, Northern Blvd., P.O. Box 8000, Old Westbury, NY, 11568, United States. Electronic address: cpavia@nyit.edu.
Maria M PlummerNew York Institute of Technology, Department of Biomedical Sciences and Department of Clinical Specialties, College of Osteopathic Medicine, Northern Blvd., P.O. Box 8000, Old Westbury, NY, 11568, United States.
New York Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making the correct diagnosis of a patient seeking medical attention is the ultimate goal of a practicing physician, irrespective of whether the cause of the patient's condition is infectious or non-infectious. Antigen detection tests can be used to aid in the diagnosis of various infectious-related disorders including COVID-19 where it has become especially important due to the serious nature of this disease and its worldwide prevalence. These tests closely mimic one of the earliest prototypes - the urine pregnancy test - and as a result they have gained wide acceptance based on their overall simplicity, low cost and relative accuracy. In some situations, especially as a screening test, they can be used instead of the more technically demanding and complex molecular and serologic assays that are still useful and helpful under many different circumstances. Antigen detection systems are based on finding a particular immunogenic component, typically a protein or polysaccharide molecule, that is both unique and an integral part of the pathogen or other biological entity. Because these tests generally provide only qualitative results, they often need to be supplemented with other and sometimes more sophisticated laboratory-based diagnostic procedures to corroborate the initial test result. In this review, we first describe general background information on antigen-detection methods, including any unique aspects of their overall design, and then follow with an extensive description on the merits and limitations of these tests for detecting COVID-19 and, to a lesser extent, for other serious respiratory diseases caused by three common bacterial pathogens - Streptococcus pyogenes, Streptococcus pneumoniae and Legionella pneumophila.

Indexed as

Antigens, ViralCommunicable DiseasesCOVID-19COVID-19 Serological TestingDiagnostic Tests, RoutineFemaleHumansImmunologic TestsLegionella pneumophilaPregnancySARS-CoV-2Streptococcus pneumoniaeStreptococcus pyogenesAntigens, ViralAntigen-detectionCOVID-19Legionella pneumophilaSARS-Cov-2Streptococcus pneumoniaeStreptococcus pyogenes

Identifiers

PMID34272205
PMCPMC8234251
OpenAlexW3174228193

What OpenQuestion holds

Textmetadata
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.