Reverse Transcriptase Loop Mediated Isothermal Amplification (RT-LAMP) for COVID-19 diagnosis: a systematic review and meta-analysis

  1. Anita Dominique Subali
  2. Lowilius Wiyono

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1080/20477724.2021.1933335
  2. ScreenIT

    SciScore for 10.1101/2021.01.04.20248979: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    BlindingThis systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines (10) to properly search for relevant studies or literatures used in this review Search strategy: Two independent investigators performed thorough literature searches in a blinded fashion.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The literature search was done through seven scientific databases, namely Pubmed, ScienceDirect, Scopus, Proquest, Wiley, Scopus, and EBSCohost for studies published up to October 12th 2020.
    Pubmed
    suggested: (PubMed, RRID:SCR_004846)
    Proquest
    suggested: (ProQuest, RRID:SCR_006093)
    The literature search strategies were developed using medical subject headings (MeSH) in scientific databases with text words related to COVID-19 diagnosis, RT-PCR, and RT-LAMP.
    MeSH
    suggested: (MeSH, RRID:SCR_004750)
    Study Selection: After the previous search in proposed databases had been completed, the search results were stored in Microsoft Excel Spreadsheet (Microsoft Corp, Redmond, WA, USA).
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Meta-analysis was conducted using MetaDTA software (University of Leicester, Leicester, England).
    MetaDTA
    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: We detected the following sentences addressing limitations in the study:
    However, this review has several limitations. The authors have seen that this review dominantly used RT-LAMP diagnostic value data on each study by extracting the cumulative data on all studies. Therefore, there was no extraction on subgroup analysis which has been used in some studies. In our search strategy, the authors used several databases to find peer-reviewed articles which are relevant to RT-LAMP diagnostic value on COVID-19. Systematic review and meta-analysis using preprints and ongoing clinical trials could be performed to gather more data for the systematic review, while keeping in mind to properly assess study quality. Subgroup analysis, particularly on types of RT-LAMP used in trials could also be used

    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 10.1101/2021.01.04.20248979v1 on medRxiv