Diagnostic accuracy of serological tests for covid-19: systematic review and meta-analysis
McGill University Health Centre · Universidade do Estado do Rio de Janeiro · +5 more institutions
Abstract
To determine the diagnostic accuracy of serological tests for coronavirus disease-2019 (covid-19).
Systematic review and meta-analysis. DATA SOURCES: Medline, bioRxiv, and medRxiv from 1 January to 30 April 2020, using subject headings or subheadings combined with text words for the concepts of covid-19 and serological tests for covid-19. ELIGIBILITY CRITERIA AND DATA ANALYSIS: Eligible studies measured sensitivity or specificity, or both of a covid-19 serological test compared with a reference standard of viral culture or reverse transcriptase polymerase chain reaction. Studies were excluded with fewer than five participants or samples. Risk of bias was assessed using quality assessment of diagnostic accuracy studies 2 (QUADAS-2). Pooled sensitivity and specificity were estimated using random effects bivariate meta-analyses. MAIN OUTCOME MEASURES: The primary outcome was overall sensitivity and specificity, stratified by method of serological testing (enzyme linked immunosorbent assays (ELISAs), lateral flow immunoassays (LFIAs), or chemiluminescent immunoassays (CLIAs)) and immunoglobulin class (IgG, IgM, or both). Secondary outcomes were stratum specific sensitivity and specificity within subgroups defined by study or participant characteristics, including time since symptom onset.
Citation impact
- FWCI
- 21.39
- Percentile
- 100%
- References
- 68
Authors
13- MLMayara Lisboa BastosCorresponding
McGill University Health Centre, Universidade do Estado do Rio de Janeiro
- GTGamuchirai Tavaziva
McGill University Health Centre
- SAS.K. Abidi
McGill University Health Centre
- JRJonathon R. Campbell
McGill University Health Centre, McGill University
- LHLouis‐Patrick Haraoui
Université de Sherbrooke
Topics & keywords
- Serology
- Meta-analysis
- Medicine
- Population
- Publication bias
- Internal medicine
- Immunology
- Antibody
- Good health and well-being