Previous and active tuberculosis increases risk of death and prolongs recovery in patients with COVID-19
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SciScore for 10.1101/2020.07.22.20154575: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Thus, institutional review board approval was deemed unnecessary. 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 a number of limitations of the study. We used propensity score matching to adjust for confounding factors. However, residual confounding could still be an issue …
SciScore for 10.1101/2020.07.22.20154575: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Thus, institutional review board approval was deemed unnecessary. 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 a number of limitations of the study. We used propensity score matching to adjust for confounding factors. However, residual confounding could still be an issue for variables we did not match. Specifically, we had no data on HIV/AIDs in our cohort, and this might have biased our estimates since patients with TB are more likely to be infected with HIV. However, propensity score matching on all specified comorbid conditions would reduce confounding substantially, and any potential residual confounding would be limited. Moreover, as this data was obtained from the Philippine national surveillance of COVID-19, some dates for the time-to-event outcomes were missing. In survival analyses, we excluded individuals with missing dates, and conducted statistical tests to ensure that the confounder distribution of the included sample for each time-to-event analysis did not differ significantly between patients with and without TB (Supplementary Table 2). In addition, the main outcomes death and recovery could potentially have some missing data; the survival analysis accounted for missing data by censoring on the last day of follow-up for patients without the outcome. Furthermore, since the data was collected as part of a larger surveillance effort, previous TB diagnosis and current TB disease were aggregated as confirmed TB, and we were unable to distinguish between the effects of these two groups; even so, the consistently strong effect size demonstrates the consequence of TB ...
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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