Cognitive function following SARS-CoV-2 infection in a population-representative Canadian sample
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SciScore for 10.1101/2022.01.01.22268614: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.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:Strengths and Limitations: There are several strengths of the current study. One strength is the use of a large population-representative sample, consisting of infected individuals of a wide range of disease symptom severities—ranging from asymptomatic to hospitalized—as well as non-infected controls. Another strength is the use of a …
SciScore for 10.1101/2022.01.01.22268614: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.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:Strengths and Limitations: There are several strengths of the current study. One strength is the use of a large population-representative sample, consisting of infected individuals of a wide range of disease symptom severities—ranging from asymptomatic to hospitalized—as well as non-infected controls. Another strength is the use of a validated measure of subjective symptomology assessing everyday function rather than more sensitive but less ecologically valid performance-based measures. However, by virtue of the survey format, it was not possible to validate the infection status of individuals by testing. This may lead to under- or over-estimation of effect size and statistical significance of tests, vis-a-vis misreporting of infection status. This is a limitation of all survey studies of COVID-19 and cognitive dysfunction however. Finally, the cross-sectional design limits our ability to draw causal inference. Future studies should examine the longevity of cognitive dysfunction symptoms over time, as well as the extent to which the dose-response and age gradients observed here are replicable across samples. Finally, additional studies examining neurological impacts at the level of the brain itself will be required, using functional brain imaging paradigms. Conclusions: In summary, the current study used a population-representative sample consisting of a balanced proportion of infected and uninfected individuals to estimate the association between SARS-CoV-2 infection and sym...
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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