Patient Trajectories Among Persons Hospitalized for COVID-19
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SciScore for 10.1101/2020.05.24.20111864: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The institutional review boards of these hospitals approved this study as minimal risk and waived requirement for informed consent.
Consent: The institutional review boards of these hospitals approved this study as minimal risk and waived requirement for informed consent.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
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 …SciScore for 10.1101/2020.05.24.20111864: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The institutional review boards of these hospitals approved this study as minimal risk and waived requirement for informed consent.
Consent: The institutional review boards of these hospitals approved this study as minimal risk and waived requirement for informed consent.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
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:There are some limitations to our study. Ten percent of the patients in our cohort did not yet have an observed outcome and such incompleteness could lead to bias. However, since we adopted time-to-event approaches which handled censored survival data, our analyses remain unbiased and not affected by incompleteness. Our data are derived from a single health system and may not be representative of COVID-19 populations across the US. Care practices may have differed between our 5 hospitals. We may have under ascertained the number of COVID-19 positive cases in our health system due to testing challenges.39 We may not have captured all comorbidities since some patients may not have had robust documentation in the electronic health record. Post-discharge outcomes are not currently captured if they occur outside of the health system. Lastly, we had to impute a considerable percentage of missing values in several laboratory tests as there is no clear standard of care for laboratory testing in COVID-19. In conclusion, we identified several important demographic and simple to assess factors associated with severe COVID-19 outcomes including age, nursing home status, BMI, D-dimer, troponin, ALC and respiratory rate. We also identified specific subgroups with a higher risk of disease progression including the elderly, nursing home residents, and younger patients with obesity.
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.
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