ABC2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2021.02.01.21250306: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: It was approved by the Brazilian National Commission for Research Ethics (CAAE 30350820.5.1001.0008) Individual informed consent was waived due to the severity of the situation and the use of deidentified data, based on medical chart review only.
    Consent: The institutional review board granted an informed consent waiver if patients were unable to give oral consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Measurement: Demographic information, clinical characteristics, laboratory and outcome data were collected from the medical records by using a prespecified case report form applying Research Electronic Data Capture (REDCap) tools22,23 hosted at the Telehealth Center, University Hospital, Universidade Federal de Minas Gerais.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)
    These scores were identified through a literature search of Medline, medRxiv and BioRxiv, with no language or date restrictions, using the search terms “COVID-19,” “COVID”, “SARS-CoV-2,” “coronavirus” combined with “score” and “mortality”.
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)
    BioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)

    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:
    Strengths and limitations: A major strength of this rapid scoring system is its simplicity, the use of objective parameters, what helps to reduce inter-user variability, easily available at the emergency department presentation, even in under-resourced settings. A major strength of this study is that it followed strict methodological criteria, recommended by TRIPOD checklist and PROBAST20, and was based on robust sample of patients with laboratory confirmed SARS-CoV-2 infection, from a collaboration among researchers from 36 public, private and mixed hospitals of different sizes in four Brazilian states, to ensure diversity of the population studied and representativeness of the intended target population. The majority of published scores were developed in China or the US (56.4%) and Europe (25.6%), this is the first study in the Latin American population. Data were obtained by detailed medical chart reviews, and we were able to collect comprehensive data from a large number of patients and follow 98.5% of the patients from admission to discharge or death. Decisions about which predictors to retain in the final model did not rely on potentially biased univariable selection of predictors. They were based on clinical reasoning, previous evidence from other cohorts and systematic reviews on prognostic factors for COVID-19 patients and availability of predictor measurement at hospital admission19. In a huge country such as Brazil, the development of a score that truly corresponds...

    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.