SARS–CoV-2 infection of the placenta

  1. Hillary Hosier
  2. Shelli F. Farhadian
  3. Raffaella A. Morotti
  4. Uma Deshmukh
  5. Alice Lu-Culligan
  6. Katherine H. Campbell
  7. Yuki Yasumoto
  8. Chantal B.F. Vogels
  9. Arnau Casanovas-Massana
  10. Pavithra Vijayakumar
  11. Bertie Geng
  12. Camila D. Odio
  13. John Fournier
  14. Anderson F. Brito
  15. Joseph R. Fauver
  16. Feimei Liu
  17. Tara Alpert
  18. Reshef Tal
  19. Klara Szigeti-Buck
  20. Sudhir Perincheri
  21. Christopher Larsen
  22. Aileen M. Gariepy
  23. Gabriela Aguilar
  24. Kristen L. Fardelmann
  25. Malini Harigopal
  26. Hugh S. Taylor
  27. Christian M. Pettker
  28. Anne L. Wyllie
  29. Charles Dela Cruz
  30. Aaron M. Ring
  31. Nathan D. Grubaugh
  32. Albert I. Ko
  33. Tamas L. Horvath
  34. Akiko Iwasaki
  35. Uma M. Reddy
  36. Heather S. Lipkind

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Abstract

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  1. Version published to 10.1172/jci139569
  2. ScreenIT

    SciScore for 10.1101/2020.04.30.20083907: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Human studies: This study was approved by the Yale Institutional Review Board.
    Consent: Written informed consent was obtained from the participant prior to inclusion in the study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    SARS-CoV-2 s1 spike protein IgM and IgG serology testing: ELISA assays for IgG and IgM antibodies towards SARS-CoV-2 were performed on maternal plasma as described by Amanat et al9.
    SARS-CoV-2 s1 spike protein IgM
    suggested: None
    IgM
    suggested: None

    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.
    • No protocol registration statement was detected.

    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.

  3. Version published to 10.1101/2020.04.30.20083907v3 on medRxiv
  4. Version published to 10.1101/2020.04.30.20083907v2 on medRxiv
  5. Version published to 10.1101/2020.04.30.20083907v1 on medRxiv