Abstract

Population-based databases in Nordic countries offer unique opportunities for large-scale population-based epidemiological studies. The personal identity number enables researchers to link different registers at the individual level, which can be used for large-scale epidemiological population-based studies. This review outlines how these opportunities have been used so far in the field of gout research, as well as the potential challenges and limitations. Their major advantage is that they cover the entire population, minimizing problems such as selection bias and loss to follow-up. This has enabled us to provide information on gout regarding risk factors; occurrence; association with comorbidities in relation to gout onset; treatment patterns; as well as its effect on other outcomes, such as sick leave and mortality. Validity issues, missing data, and legal issues are some of the challenges that researchers need to deal with. Choosing the most appropriate combination of databases to use for a specific question is crucial in order to maximize validity and adjust for confounders. Despite challenges and potential limitations, the Swedish registers have provided valuable epidemiological results and will continue to play an important role in the years to come.

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