Evidence map›Paper›PMID 35741198›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Performance of Antigen Detection Tests for SARS-CoV-2: A Systematic Review and Meta-Analysis.

Anastasia Tapari, Georgia G Braliou, Maria Papaefthimiou, Helen Mavriki, Panagiota I Kontou, Georgios K Nikolopoulos, Pantelis G Bagos

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  5. Limitations of point-of-care testing for low SARS CoV-2 loads: Insights for future pandemics.African journal of primary health care & family medicine · 2025
    Article
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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

7 authors at 2 institutions in 2 countries.

Anastasia TapariDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Georgia G BraliouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.ORCID 0000-0003-3982-3250
Maria PapaefthimiouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Helen MavrikiDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Panagiota I KontouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Georgios K NikolopoulosMedical School, University of Cyprus, Nicosia 1678, Cyprus.ORCID 0000-0002-3307-0246
Pantelis G BagosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.ORCID 0000-0003-4935-2325
University of Thessaly · GRUniversity of Cyprus · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) initiated global health care challenges such as the necessity for new diagnostic tests. Diagnosis by real-time PCR remains the gold-standard method, yet economical and technical issues prohibit its use in points of care (POC) or for repetitive tests in populations. A lot of effort has been exerted in developing, using, and validating antigen-based tests (ATs). Since individual studies focus on few methodological aspects of ATs, a comparison of different tests is needed. Herein, we perform a systematic review and meta-analysis of data from articles in PubMed, medRxiv and bioRxiv. The bivariate method for meta-analysis of diagnostic tests pooling sensitivities and specificities was used. Most of the AT types for SARS-CoV-2 were lateral flow immunoassays (LFIA), fluorescence immunoassays (FIA), and chemiluminescence enzyme immunoassays (CLEIA). We identified 235 articles containing data from 220,049 individuals. All ATs using nasopharyngeal samples show better performance than those with throat saliva (72% compared to 40%). Moreover, the rapid methods LFIA and FIA show about 10% lower sensitivity compared to the laboratory-based CLEIA method (72% compared to 82%). In addition, rapid ATs show higher sensitivity in symptomatic patients compared to asymptomatic patients, suggesting that viral load is a crucial parameter for ATs performed in POCs. Finally, all methods perform with very high specificity, reaching around 99%. LFIA tests, though with moderate sensitivity, appear as the most attractive method for use in POCs and for performing seroprevalence studies.

Indexed as

antigen testCOVID-19diagnostic performancemeta-analysisSARS-CoV-2sensitivityspecificity

Identifiers

PMID35741198
PMCPMC9221910
OpenAlexW4281943383

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.