Lack of detailed clinical data
The study relies on administrative data and lacks granular information on treatments, disease severity, and specific diagnostic laboratory results, which could influence outcomes.
The study did not track patients post-discharge, potentially underestimating mortality among those discharged from ICU.
Potential for ascertainment bias
Smoking status may be more consistently recorded in severe cases and those admitted to ICU, leading to bias in estimating its effect on mortality.
The study analyzes aggregate data, and the associations observed at the population level may not hold true for individuals.
No information about specific variants of COVID-19
The study period spans different COVID-19 variants, which have varying severity and transmissibility. This information could affect the outcome analysis as the data was not stratified according to the variant.
No information on vaccinations
Although it is stated that vaccinations started at the end of the study period, the vaccination status of participants in the study is unknown. Vaccinations prevent severe outcomes, and lack of this information could be a confounding factor.