Anti-Phospholipid Antibodies in COVID-19 Are Different From Those Detectable in the Anti-Phospholipid Syndrome

  1. Maria Orietta Borghi
  2. Asmaa Beltagy
  3. Emirena Garrafa
  4. Daniele Curreli
  5. Germana Cecchini
  6. Caterina Bodio
  7. Claudia Grossi
  8. Simonetta Blengino
  9. Angela Tincani
  10. Franco Franceschini
  11. Laura Andreoli
  12. Maria Grazia Lazzaroni
  13. Silvia Piantoni
  14. Stefania Masneri
  15. Francesca Crisafulli
  16. Duilio Brugnoni
  17. Maria Lorenza Muiesan
  18. Massimo Salvetti
  19. Gianfranco Parati
  20. Erminio Torresani
  21. Michael Mahler
  22. Francesca Heilbron
  23. Francesca Pregnolato
  24. Martino Pengo
  25. Francesco Tedesco
  26. Nicola Pozzi
  27. Pier Luigi Meroni

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Abstract

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  1. Version published to 10.3389/fimmu.2020.584241
  2. Version published to 10.1101/2020.06.17.20134114v3 on medRxiv
  3. Version published to 10.1101/2020.06.17.20134114v2 on medRxiv
  4. ScreenIT

    SciScore for 10.1101/2020.06.17.20134114: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the Ethics Committees (Istituto Auxologico Italiano 3-04-2020 − Milan and ASST Spedali Civili NP4187 - Brescia). 2.2 Detection of aPL: Anti-cardiolipin and anti-β2GPI IgG/IgA/IgM were detected by chemiluminescence immunoassay (CIA; Quanta Flash, Inova, San Diego, CA, US) and a home-made ELISA as described [15,16].
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableMean age was 68.5 (± SD 16.4) years; 77 were men and 45 women.

    Table 2: Resources

    Antibodies
    SentencesResources
    Anti-phosphatidylserine/prothrombin (aPS/PT) IgG/IgM were detected by a commercial ELISA as reported[17].
    Anti-phosphatidylserine/prothrombin
    suggested: None

    Results from OddPub: Thank you for sharing your data.

    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.

    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.

  5. Version published to 10.1101/2020.06.17.20134114v1 on medRxiv