Coronavirus disease 2019 vaccine response in pregnant and lactating women: a cohort study

  1. Kathryn J. Gray
  2. Evan A. Bordt
  3. Caroline Atyeo
  4. Elizabeth Deriso
  5. Babatunde Akinwunmi
  6. Nicola Young
  7. Aranxta Medina Baez
  8. Lydia L. Shook
  9. Dana Cvrk
  10. Kaitlyn James
  11. Rose De Guzman
  12. Sara Brigida
  13. Khady Diouf
  14. Ilona Goldfarb
  15. Lisa M. Bebell
  16. Lael M. Yonker
  17. Alessio Fasano
  18. S. Alireza Rabi
  19. Michal A. Elovitz
  20. Galit Alter
  21. Andrea G. Edlow

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Abstract

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  1. Version published to 10.1016/j.ajog.2021.03.023
  2. ScreenIT

    SciScore for 10.1101/2021.03.07.21253094: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Eligible women were: (1) pregnant; (2) lactating; or (3) non-pregnant and of reproductive age (18-45); ≥18 years old, able to provide informed consent, and receiving the COVID-19 vaccine.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableEligible women were: (1) pregnant; (2) lactating; or (3) non-pregnant and of reproductive age (18-45); ≥18 years old, able to provide informed consent, and receiving the COVID-19 vaccine.

    Table 2: Resources

    Antibodies
    SentencesResources
    Titers resulting from natural infection and vaccination-induced antibodies against SARS-CoV-2 RBD and Spike were quantified from the same plate using ELISA as previously described13.
    SARS-CoV-2
    suggested: None
    RBD
    suggested: None
    Software and Algorithms
    SentencesResources
    Statistical analyses were performed using GraphPad Prism 9 and Stata/IC version 16.1.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04754594RecruitingStudy to Evaluate the Safety, Tolerability, and Immunogenici…

    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.

  3. Version published to 10.1101/2021.03.07.21253094 on medRxiv