The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Comparative Performance of Five Commercially Available Serologic Assays To Detect Antibodies to SARS-CoV-2 and Identify Individuals with High Neutralizing Titers
Open accessAbstract
Accurate serological assays to detect antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are needed to characterize the epidemiology of SARS-CoV-2 infection and identify potential candidates for coronavirus disease 2019 (COVID-19) convalescent plasma (CCP) donation. This study compared the performances of commercial enzyme immunoassays (EIAs) with respect to detection of IgG or total antibodies to SARS-CoV-2 and neutralizing antibodies (nAbs). The diagnostic accuracy of five commercially available EIAs (Abbott, Euroimmun, EDI, ImmunoDiagnostics, and Roche) for detection of IgG or total antibodies to SARS-CoV-2 was evaluated using cross-sectional samples from potential CCP donors who had prior molecular confirmation of SARS-CoV-2 infection ( n = 214) and samples from prepandemic emergency department patients without SARS-CoV-2 infection ( n = 1,099).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Cited by
Antibody Response to 2-Dose SARS-CoV-2 mRNA Vaccine Series in Solid Organ Transplant Recipients
Boyarsky, B. J., Werbel, W. A., Avery, R. K., Tobian, A. A. R., Massie, A. B., Segev, D. L., & Garonzik-Wang, J. M. (2021) · JAMA · doi:10.1001/jama.2021.7489 · Cited by 955
Self-citationBoyarsky, B. J., Werbel, W. A., Avery, R. K., Tobian, A. A. R., Massie, A. B., Segev, D. L., & Garonzik-Wang, J. M. (2021) · JAMA · doi:10.1001/jama.2021.4385 · Cited by 508
Self-citationMatta, J., Wiernik, E., Robineau, O., Carrat, F., Touvier, M., Severi, G., de Lamballerie, X., Blanché, H., Deleuze, J.-F., Gouraud, C., et al. (2022) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2021.6454 · Cited by 266
Metadata
- Authors
- Patel, E. U., Bloch, E. M., Clarke, W., Hsieh, Y.-H., Boon, D., Eby, Y., Fernandez, R. E., Baker, O. R., Keruly, M., Kirby, C. S., Klock, E., Littlefield, K., Miller, J., Schmidt, H. A., Sullivan, P., Piwowar-Manning, E., Shrestha, R., Redd, A. D., Rothman, R. E., Sullivan, D., Shoham, S., Casadevall, A., Quinn, T. C., Pekosz, A., Tobian, A. A. R., & Laeyendecker, O.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2021-01-21
- Volume
- 59
- Issue
- 2
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W3097263615
- Cited by
- 184
- References
- 1
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative Performance of Five Commercially Available Serologic Assays To Detect Antibodies to SARS-CoV-2 and Identify Individuals with High Neutralizing Titers. https://app.cochat.ai/papers/10.1128/jcm.02257-20
- The paper
- Patel, E. U., Bloch, E. M., Clarke, W., Hsieh, Y.-H., Boon, D., Eby, Y., Fernandez, R. E., Baker, O. R., Keruly, M., Kirby, C. S., Klock, E., Littlefield, K., Miller, J., Schmidt, H. A., Sullivan, P., Piwowar-Manning, E., Shrestha, R., Redd, A. D., Rothman, R. E., . . . Laeyendecker, O. (2021). Comparative Performance of Five Commercially Available Serologic Assays To Detect Antibodies to SARS-CoV-2 and Identify Individuals with High Neutralizing Titers. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.02257-20
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
