Comparative diagnostic performance of the new chromatographic Affimer ® -based rapid antigen detection against SARS-CoV-2 and other standard antigen tests for COVID-19 in a clinical setting

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

The availability of accurate and rapid diagnostic tools for COVID-19 is essential for tackling the ongoing pandemic. In this context, researchers in the UK have started testing a new Lateral Flow Device (LFD) based on proprietary Biotinylated anti SARS-CoV-2 S1 Affimer® technology that binds to the SARS-CoV2-S1 protein in anterior nasal swab samples, generating an ultra-sensitive method for detection. This international study aimed to compare its performance against other available antigen-detecting rapid diagnostic tests (Ag-RDTs) in a real-world clinical setting. The study was completed under the frame of Project SENSORNAS RTC-20176501 in collaboration with MiRNAX Biosens Ltd. and Hospital Carlos III, it was documented internally and deposited in agreement to the ISO 13485 norm. All the data obtained are currently under submission and review from the Ethics Committee of Universidad Autonoma de Madrid.

Article activity feed

  1. SciScore for 10.1101/2022.01.18.22269401: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: All the data obtained under the frame of Project SENSORNAS RTC-20176501 in collaboration with MiRNAX Biosens Ltd. are currently under submission and review from the Ethics Committee of Universidad Autonoma de Madrid.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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 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.
    • Thank you for including a protocol registration statement.

    Results from scite Reference Check: We found no unreliable references.


    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.