The CCEDRRN COVID-19 Mortality Score to predict death among nonpalliative patients with COVID-19 presenting to emergency departments: a derivation and validation study
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SciScore for 10.1101/2021.07.28.21261283: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: (15) This study was approved by the research ethics boards of all participating institutions with a waiver of informed consent for enrolment.
Consent: (15) This study was approved by the research ethics boards of all participating institutions with a waiver of informed consent for enrolment.Sex as a biological variable not detected. Randomization Model development and validation: We randomly assigned participating sites to derivation or validation, with the goal of assigning 75% of eligible patients and outcome events to derivation, and the remaining to validation. Blinding We evaluated the inter-rater agreement of key predictor variables by comparing data collected retrospectively with … SciScore for 10.1101/2021.07.28.21261283: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: (15) This study was approved by the research ethics boards of all participating institutions with a waiver of informed consent for enrolment.
Consent: (15) This study was approved by the research ethics boards of all participating institutions with a waiver of informed consent for enrolment.Sex as a biological variable not detected. Randomization Model development and validation: We randomly assigned participating sites to derivation or validation, with the goal of assigning 75% of eligible patients and outcome events to derivation, and the remaining to validation. Blinding We evaluated the inter-rater agreement of key predictor variables by comparing data collected retrospectively with prospective data.(15) The clinical prediction score was developed after all chart abstractions were complete; research assistants were thus unaware of which clinical variables would be candidate predictor variables. Power Analysis not detected. Cell Line Authentication Authentication: Model development and validation: We randomly assigned participating sites to derivation or validation, with the goal of assigning 75% of eligible patients and outcome events to derivation, and the remaining to validation. Table 2: Resources
Software and Algorithms Sentences Resources Data collection: Trained research assistants abstracted data from electronic and paper-based medical records into a central, web-based REDCap database (Vanderbilt University; Nashville, TN, USA), and captured demographics, vital signs, symptoms, and comorbidities, COVID-19 exposure risk, diagnostic test results, and patient outcomes. REDCapsuggested: (REDCap, RRID:SCR_003445)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:
Identifier Status Title NCT04702945 Recruiting Canadian COVID-19 Emergency Department Registry 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.
Results from scite Reference Check: We found no unreliable references.
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