Evidence map›Paper›PMID 35617375›Full record

SynthesisPLoS medicine2022

Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: An updated systematic review and meta-analysis with meta-regression analyzing influencing factors.

Lukas E Brümmer, Stephan Katzenschlager, Sean McGrath, Stephani Schmitz, Mary Gaeddert, Christian Erdmann, Marc Bota, Maurizio Grilli, Jan Larmann, Markus A Weigand and 7 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 7 pooled it
7.3field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 7 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection.The Cochrane database of systematic reviews · 2025
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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

17 authors at 6 institutions in 4 countries.

Lukas E BrümmerDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-8812-7975
Stephan KatzenschlagerDepartment of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-4977-7999
Sean McGrathDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-7281-3516
Stephani SchmitzDepartment of Developmental Biology, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-1188-2750
Mary GaeddertDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-6713-3495
Christian ErdmannFH Muenster University of Applied Sciences, Muenster, Germany.ORCID 0000-0003-0159-128X
Marc BotaAgaplesion Bethesda Hospital, Hamburg, Germany.ORCID 0000-0003-0265-8642
Maurizio GrilliLibrary, University Medical Center Mannheim, Mannheim, Germany.
Jan LarmannDepartment of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0003-3365-4572
Markus A WeigandDepartment of Anesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
Nira R PollockDepartment of Laboratory Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0002-6396-2915
Aurélien MacéFIND, Geneva, Switzerland.ORCID 0000-0002-3282-1650
Berra ErkosarFIND, Geneva, Switzerland.ORCID 0000-0003-1152-6772
Sergio CarmonaFIND, Geneva, Switzerland.ORCID 0000-0002-6792-4748
Jilian A SacksFIND, Geneva, Switzerland.
Stefano OngarelloFIND, Geneva, Switzerland.ORCID 0000-0002-0032-0691
Claudia M DenkingerDivision of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-7216-7067
Heidelberg University · DEFIND · CHBoston Children's Hospital · USErasmus MC · NLFH Münster · DEHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analysis about the accuracy of Ag-RDTs. We now update this work and analyze the factors influencing test sensitivity in further detail. METHODS AND

findingsWe registered the review on PROSPERO (registration number: CRD42020225140). We systematically searched preprint and peer-reviewed databases for publications evaluating the accuracy of Ag-RDTs for SARS-CoV-2 until August 31, 2021. Descriptive analyses of all studies were performed, and when more than 4 studies were available, a random-effects meta-analysis was used to estimate pooled sensitivity and specificity with reverse transcription polymerase chain reaction (RT-PCR) testing as a reference. To evaluate factors influencing test sensitivity, we performed 3 different analyses using multivariable mixed-effects meta-regression models. We included 194 studies with 221,878 Ag-RDTs performed. Overall, the pooled estimates of Ag-RDT sensitivity and specificity were 72.0% (95% confidence interval [CI] 69.8 to 74.2) and 98.9% (95% CI 98.6 to 99.1). When manufacturer instructions were followed, sensitivity increased to 76.3% (95% CI 73.7 to 78.7). Sensitivity was markedly better on samples with lower RT-PCR cycle threshold (Ct) values (97.9% [95% CI 96.9 to 98.9] and 90.6% [95% CI 88.3 to 93.0] for Ct-values <20 and <25, compared to 54.4% [95% CI 47.3 to 61.5] and 18.7% [95% CI 13.9 to 23.4] for Ct-values ≥25 and ≥30) and was estimated to increase by 2.9 percentage points (95% CI 1.7 to 4.0) for every unit decrease in mean Ct-value when adjusting for testing procedure and patients' symptom status. Concordantly, we found the mean Ct-value to be lower for true positive (22.2 [95% CI 21.5 to 22.8]) compared to false negative (30.4 [95% CI 29.7 to 31.1]) results. Testing in the first week from symptom onset resulted in substantially higher sensitivity (81.9% [95% CI 77.7 to 85.5]) compared to testing after 1 week (51.8%, 95% CI 41.5 to 61.9). Similarly, sensitivity was higher in symptomatic (76.2% [95% CI 73.3 to 78.9]) compared to asymptomatic (56.8% [95% CI 50.9 to 62.4]) persons. However, both effects were mainly driven by the Ct-value of the sample. With regards to sample type, highest sensitivity was found for nasopharyngeal (NP) and combined NP/oropharyngeal samples (70.8% [95% CI 68.3 to 73.2]), as well as in anterior nasal/mid-turbinate samples (77.3% [95% CI 73.0 to 81.0]). Our analysis was limited by the included studies' heterogeneity in viral load assessment and sample origination.

conclusionsAg-RDTs detect most of the individuals infected with SARS-CoV-2, and almost all (>90%) when high viral loads are present. With viral load, as estimated by Ct-value, being the most influential factor on their sensitivity, they are especially useful to detect persons with high viral load who are most likely to transmit the virus. To further quantify the effects of other factors influencing test sensitivity, standardization of clinical accuracy studies and access to patient level Ct-values and duration of symptoms are needed.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansPoint-of-Care SystemsSensitivity and Specificity

Identifiers

PMID35617375
PMCPMC9187092
OpenAlexW4281571788

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.