Persistence of anti-SARS-CoV-2 antibodies: immunoassay heterogeneity and implications for serosurveillance
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SciScore for 10.1101/2021.03.16.21253710: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources This study was approved by the Geneva Cantonal Commission for Research Ethics (CCER project number 2020-00881). Immunoassays: SARS-CoV-2 antibodies were measured using three commercially-available tests: a semiquantitative anti-S1 ELISA detecting IgG (Euroimmun, Lübeck, Germany #EI 2606-9601 G, referred to as EI), and the quantitative Elecsys anti-RBD ( anti-S1 ELISA detecting IgGsuggested: Noneanti-RBDsuggested: NoneResults from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Our results come …
SciScore for 10.1101/2021.03.16.21253710: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources This study was approved by the Geneva Cantonal Commission for Research Ethics (CCER project number 2020-00881). Immunoassays: SARS-CoV-2 antibodies were measured using three commercially-available tests: a semiquantitative anti-S1 ELISA detecting IgG (Euroimmun, Lübeck, Germany #EI 2606-9601 G, referred to as EI), and the quantitative Elecsys anti-RBD ( anti-S1 ELISA detecting IgGsuggested: Noneanti-RBDsuggested: NoneResults from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Our results come with a number of limitations. While our estimates of seroreversion with the EI assay were in line with previously published data (10, 27, 28), we tested baseline and follow-up samples with the EI assay at different times and with different reagent lots (inter-lot coefficient of variation of 30%, Fig. S4). Furthermore, our internal quality control (pooled COVID-19 positive patient serum) in the follow-up lot had significantly lower readout values than most lots used for baseline samples (Supplementary Appendix section S2). To explore the potential effects of this lot-to-lot variability in our assessment of EI performance over time, we conducted sensitivity analyses by matching tests run in one baseline batch that had similarly low readout estimates as the follow-up batch (Fig. S5) and found similar estimates of the proportion who sero-reverted and time-varying sensitivity (Fig. 3a and Supplement). While this reagent inter-lot variability did not appear to have great impacts on our specific results, standardization of readout values (e.g., through the use of monoclonal antibodies) can help ensure compatibility between lots and labs. Secondly, statistics on changes in sero-status and test response may have been influenced by (re-)exposures during the period between baseline and follow-up visits. We attempted to account for the observed 17% seroconversion rate among initially seronegatives in the model of time-varying sensitivity but were unable to do so explicit...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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