Evidence map›Paper›PMID 42005922›Full record

ArticleEClinicalMedicine2026

Population health and implementation outcomes of self-testing for SARS-CoV-2 using antigen detecting diagnostics: a systematic review and meta-analysis.

Lukas E Brümmer, Verena Faehling, Sean McGrath, Ana-Mihaela Zorger, Karina Worbes, Christian Erdmann, Hannah Tolle, Stephan Katzenschlager, Seda Yerlikaya, Maurizio Grilli and 10 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Lukas E BrümmerDepartment of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Verena FaehlingDepartment of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Sean McGrathDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, United States of America.
Ana-Mihaela ZorgerInstitute for Public Health, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Karina WorbesInstitute for Public Health, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Christian ErdmannFH Muenster University of Applied Sciences, Muenster, Germany.
Hannah TolleDepartment of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Stephan KatzenschlagerDepartment of Anesthesiology, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.
Seda YerlikayaDepartment of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Maurizio GrilliLibrary, University Medical Center Mannheim, Mannheim, Germany.
Nira R PollockDepartment of Laboratory Medicine, Boston Children's Hospital, Boston, MA, United States of America.
Berra ErkosarFIND, the global alliance for diagnostics, Geneva, Switzerland.
Aurelien MaceFIND, the global alliance for diagnostics, Geneva, Switzerland.
Stefano OngarelloInternational Federation of Red Cross and Red Crescent Societies (IFRC), Geneva, Switzerland.
Cheryl C JohnsonGlobal HIV, Hepatitis and STIs Programmes, World Health Organization, Geneva, Switzerland.
Jilian A SacksHealth Emergencies Preparedness and Response Programme, World Health Organization, Geneva, Switzerland.
Jane CunninghamHealth Emergencies Preparedness and Response Programme, World Health Organization, Geneva, Switzerland.
Nicole SkoetzInstitute for Public Health, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Claudia M DenkingerDepartment of Infectious Disease and Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.
Rose A LeeMicrobiology Service, Department of Laboratory Medicine, Warren G. Magnuson Clinical Center, National Institutes of Health, Bethesda, MD, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 antigen-based rapid diagnostic tests (Ag-RDTs) for self-testing (C19ST) have been widely implemented. However, evidence on population health and implementation outcomes remains limited. We systematically evaluated population health and implementation outcomes of C19ST to inform WHO guidelines and pandemic preparedness. Methods: We conducted a systematic review and meta-analysis (PROSPERO CRD42022299977), searching Embase, MEDLINE, Web of Science, MedRxiv, clinicaltrials.gov and the Cochrane Library from Dec 1, 2020, to Oct 1, 2025. We included cohort, case-control, cross-sectional, before-and-after, and randomised studies with symptomatic and asymptomatic participants using commercially available C19ST Ag-RDTs. Primary outcomes included C19ST population health (case detection, test positivity, number needed to test (NNT)) and implementation outcomes (uptake, adherence, result reporting). Meta-analyses used binomial-normal generalised linear mixed models; study quality assessment used the JBI Quasi-Experimental Tool. Findings: Of 19,473 records screened, 61 studies (87 datasets) with 25,288,225 participants (78% asymptomatic) were included. C19ST detected 31 (95% CI 14-65) cases per 1000 individuals, missing 14% (95% CI 1-65%) compared to molecular testing. Test positivity was 7 per 1000 tests (95% CI 3-15); false positives occurred in 0.4% (95% CI 0.2-1.0%). NNT was 75 in symptomatic and 1002 in asymptomatic individuals. Uptake, adherence, and result reporting were high, but estimates were limited by selection bias. C19ST was also reported to improve perceptions of safety, and reduce self-isolation, workplace absenteeism, and other societal disruptions, supporting the continuity of daily activities. Heterogeneity was substantial. Interpretation: C19ST improves case detection and supports pandemic control with acceptable accuracy and meaningful societal benefits. These findings support the use of antigen-based self-testing as a complementary tool for a pandemic response. Studies included further highlight the limited use of standardised frameworks for evaluating population health and implementation outcomes of novel diagnostics. Funding: Ministry of Science, Research and Arts of the State of Baden-Wuerttemberg, Germany.

Indexed as

Antigen-based testingCOVID-19 self-testingMeta-analysisPopulation health and implementation outcomesSystematic review

Identifiers

PMID42005922
PMCPMC13087455

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.