Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer
This article has been Reviewed by the following groups
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- Evaluated articles (ScreenIT)
- Evaluated articles (Rapid Reviews Infectious Diseases)
Abstract
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SciScore for 10.1101/2020.09.24.20200394: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IACUC: All work involving infectious SARS-CoV-2 samples was undertaken in the UC San Diego Division of Infectious Diseases Biosafety Level 3 (BSL3) laboratory with oversight from the UC San Diego Institutional Biosafety Committee (IBC). Randomization not detected. Blinding Saliva in 300 µL aliquots were provided as blinded specimens for testing in the BSL3 lab. Power Analysis not detected. Sex as a biological variable not detected. Cell Line Authentication not detected. Table 2: Resources
Experimental Models: Cell Lines Sentences Resources Authentic SARS-CoV-2 production and quantification: Vero E6 cells were obtained from ATCC and grown in DMEM with 10% fetal bovine serum … SciScore for 10.1101/2020.09.24.20200394: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IACUC: All work involving infectious SARS-CoV-2 samples was undertaken in the UC San Diego Division of Infectious Diseases Biosafety Level 3 (BSL3) laboratory with oversight from the UC San Diego Institutional Biosafety Committee (IBC). Randomization not detected. Blinding Saliva in 300 µL aliquots were provided as blinded specimens for testing in the BSL3 lab. Power Analysis not detected. Sex as a biological variable not detected. Cell Line Authentication not detected. Table 2: Resources
Experimental Models: Cell Lines Sentences Resources Authentic SARS-CoV-2 production and quantification: Vero E6 cells were obtained from ATCC and grown in DMEM with 10% fetal bovine serum (FBS) and Penicillin-Streptomycin. Vero E6suggested: NoneSoftware and Algorithms Sentences Resources Statistical analysis was performed with Origin 9.0 and/or MATLAB. Originsuggested: (Origin, RRID:SCR_014212)MATLABsuggested: (MATLAB, RRID:SCR_001622)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
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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Gannon C.K. Mak
Review 2: "Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer"
This preprint offers a novel diagnostic platform that uses off-the-shelf glucometers to detect SARS-CoV-2 antigens in saliva. The current manuscript offers rigorous validation of the diagnostic technology, but further experiments should be performed before clinical use.
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Valeria Ghisetti
Review 1: "Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer"
This preprint offers a novel diagnostic platform that uses off-the-shelf glucometers to detect SARS-CoV-2 antigens in saliva. The current manuscript offers rigorous validation of the diagnostic technology, but further experiments should be performed before clinical use.
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Strength of evidence
Reviewers: Valeria Ghisetti (Amedeo di Savoia Hospital) | 📘📘📘📘📘
Gannon C.K. Mak (Department of Health: Hong Kong) | 📒📒📒 ◻️ ◻️
Bingling Li (Chinese Academy of Sciences) | 📗📗📗📗◻️ -
Bingling Li
Review 3: "Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer"
This pre-print offers a novel diagnostic platform that uses off-the-shelf glucometers to detect SARS-CoV-2 antigens in saliva. The current manuscript offers rigorous validation of the diagnostic technology, but further experiments should be performed before clinical use.
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