Circulating endothelial progenitors are increased in COVID‐19 patients and correlate with SARS‐CoV‐2 RNA in severe cases

  1. Patrizia Mancuso
  2. Antonio Gidaro
  3. Giuliana Gregato
  4. Alessandro Raveane
  5. Paola Cremonesi
  6. Jessica Quarna
  7. Sonia Caccia
  8. Luca Gusso
  9. Stefano Rusconi
  10. Andrea Giacomelli
  11. Chiara Cogliati
  12. Francesco Bertolini

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Abstract

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  1. Version published to 10.1111/jth.15044
  2. ScreenIT

    SciScore for 10.1101/2020.04.29.20085878: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableThere were 13 females and 17 males, median age was 52 (range 27–81).

    Table 2: Resources

    Antibodies
    SentencesResources
    CECs and CEPs were evaluated by ten-color flow cytometry (Navios EX, Beckman Coulter) using the nuclear staining Syto16 for DNA (Thermo Fisher Scientific, Eisai, Medipost – US), 7-AAD (BD) and a panel of monoclonal antibodies including anti-CD45 (to exclude hematopoietic cells), anti CD34, anti-CD31, (both from Beckman Coulter) and anti-CD146 (BD) as endothelial cell markers.
    anti-CD45
    suggested: (BD Biosciences Cat# 341071, RRID:AB_400211)
    anti CD34
    suggested: None
    anti-CD31
    suggested: None
    anti-CD146
    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 10.1101/2020.04.29.20085878v1 on medRxiv