Data · dataset · 2024
Performance of Covid-19 antigen rapid diagnostic tests for self-testing compared with antigen testing by professionals and molecular tests: A systematic review and meta-analysis [Research Data]
Listed in heiDATA
Objectives Self-testing is an effective tool to bridge the testing gap for a number of infectious diseas-es; however, its performance using SARS-CoV-2 antigen-detection rapid diagnostic tests (Ag-RDTs) has not been systematically reviewed.
Description
We evaluated the accuracy of COVID-19 self-testing and/or self-sampling using Ag-RDTs to inform WHO guideline development.
Methods
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We searched multiple databases for articles evaluating the accuracy of COVID-19 self-testing or self-sampling through November 19th, 2021. Cohen’s kappa was estimated to as-sess concordance between self-testing/self-sampling and solely professional-use Ag-RDT results. Meta-analysis was performed to obtain pooled performance estimates compared to molecular testing.
The QUADAS-2 and GRADE tools were used to evaluate quality and cer-tainty of evidence. Results: Of 12,946 publications, 19 were eligible; two reported on self-testing, while 17 studies as-sessed self-sampling only. Risk of bias was low (28.1%).
Overall concordance with profes-sional-use Ag-RDTs (n=5) was high (kappa 0.92 [95% confidence interval (CI) 0.89 to 0.95]). Overall pooled sensitivity of Ag-RDT testing using self-testing/self-sampling was 72.0% (95% CI 62.4 to 80.0). Conclusion: COVID-19 self-testing/self-sampling exhibits reasonable performance and high concordance with professional-use Ag-RDTs.
This suggest that self-sampling, at a minimum, can be offered as part of COVID-19 testing strategies, despite high heterogeneity among studies and the paucity of data.
Links
Where it is published
- Dataverse dataset page heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi%3A10.11588%2FDATA%2FP9JEPG ↗
landing page · from heidata uni heidelberg de
- DOI doi.org/10.11588/data/p9jepg ↗
DOI / persistent id · from heidata uni heidelberg de
Catalogue records · 1
- Dataverse API heidata.uni-heidelberg.de/api/datasets/:persistentId/?persistentId=doi%3A10.11588%2FDATA… ↗
metadata API · from heidata uni heidelberg de
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| heiDATA | doi:10.11588/DATA/P9JEPG | 19 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /subjects |
| created_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| description | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /description |
| publication_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| title | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | /name |
| updated_date | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 | |
| version_label | source · heidata uni heidelberg de | connector:heidata_uni_heidelberg_de@1.0.0 |