Association between obesity and hospitalization in mild COVID-19 adult outpatients in Brazil: a prospective cohort study
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SciScore for 10.1101/2021.08.04.21261538: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: All data preprocessing and analyses were performed in R 3.5.0 statistical software9. 4. Ethics: The study was performed in accordance with the Decree 466/1210 of the National Health Council and Good Clinical Practice Guidelines, after approval by the Institutional Review Board (IRB n° 4.637.933).
Consent: All participants included in this study provided written informed consent.Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis 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…
SciScore for 10.1101/2021.08.04.21261538: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: All data preprocessing and analyses were performed in R 3.5.0 statistical software9. 4. Ethics: The study was performed in accordance with the Decree 466/1210 of the National Health Council and Good Clinical Practice Guidelines, after approval by the Institutional Review Board (IRB n° 4.637.933).
Consent: All participants included in this study provided written informed consent.Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis 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:Our study has limitations. Our analysis was based on a convenience sample. Moreover, our participants represent a single geographic region of a heterogeneous country, such as Brazil. However, worldwide prevalence of obesity is a public health concern and our findings are in line with previous reports14–17. As another point to address, the two centers included in this study represent different populations, public and private, which may characterize different clusters and limit the interpretation of our results for the sample as a whole. Also, most of our data represents self-report and may be subject to bias. Despite that, we believe that our results add to the literature as they represent an outpatient prospective cohort of young individuals with low risk for complications related to COVID-19 in a LMIC, identifying important risk predictors for this population. Moreover, a similar impact of obesity was consistently found despite adjusting for several possible confounders. In conclusion, our data identified that obesity, in addition to age, was the most important risk factor predicting hospital admission for COVID-19 in a young population in Southern Brazil. These results highlight the importance of health support strategies aimed at this population, in order to promote additional protection, such as vaccination, and to encourage lifestyle changes.
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.
Results from scite Reference Check: We found no unreliable references.
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