Inflammatory markers in Covid-19 Patients: a systematic review and meta-analysis

  1. Golnaz Vaseghi
  2. Marjan Mansourian
  3. Raheleh Karimi
  4. Kiyan Heshmat-Ghahdarijani
  5. Paria Rouhi
  6. Mahfam Shariati
  7. Shaghayegh Haghjoo Javanmard

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Introduction

Diagnosis of COVID-19 is based on clinical manifestation, history of exposure, positive findings on chest CT and laboratory tests. It has been shown that inflammation plays a role in pathogenesis of COVID-19.

Method

We used the necessary transformations to convert the median and IQR to mean and SD Random-effect model using Der Simonian, and Laird methods was used if heterogeneity between studies was significant, the homogeneity among studies was assessed with I 2 Statistic, values above 50%, and for the chi-square test, P-values <0.1 was supposed statistically significant

Results

Twelve studies were included in the analysis that all of which were conducted in China in the year 2020. The result of combining 12 articles with 772 participants showed that the pooled estimate of the mean of lymphocyte with 95% CI was (Mean: 1.01; 95% CI (0.76-1.26); p-value<0.001). About WBC the pooled result of 9 studies with 402 participants was (Mean: 5.11; 95% CI (3.90-6.32); p-value<0.001) Also the pooled mean estimate of 9 studies with 513 patients for the ratio of Neutrophil/lymphocyte was (Mean: 3.62; 95% CI (1.48-5.77); p-value=0.001). The pooled mean from the combination of 7 studies with 521 patients on CRP was (Mean: 28.75; 95% CI (8.04-49.46).

Conclusion

Inflammatory Markers increase in patients with Covid-19, which can be a good indicator to find patients.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2020.04.29.20084863: (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 variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Pubmed, EMBASE and Scopus, were searched for eligible publications, till March 20, 2020.
    Pubmed
    suggested: (PubMed, RRID:SCR_004846)
    EMBASE
    suggested: (EMBASE, RRID:SCR_001650)
    The search strategy was ((((((coronavirus[MeSH Terms]) OR coronavirus infections[MeSH Terms]) OR “betacoronavirus”[MeSH Terms]) OR “betacoronavirus 1”[MeSH Terms]) OR
    MeSH
    suggested: (MeSH, RRID:SCR_004750)
    All analyses were performed using STATA version 14.
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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.

  2. Version published to 10.1101/2020.04.29.20084863v1 on medRxiv