Understanding urologic scientific publication patterns and general public interests on stone disease: lessons learned from big data platforms.

Purpose: To analyse patterns of stone disease online information-seeking behaviours in the United States and to correlate with urological literature publication aspects.
Methods: To compare Relative Search Volume (RSV) among different twelve preselected urologic keywords we chose "United States" as country and "01/01/2009-31/12/2018" as time range on Google Trends (GT). We defined "ureteroscopy" as a reference and compared RSV against it for each term. RSV was adjusted and normalized in a scale 0-100. Trend presence was evaluated by Mann-Kendall Test and magnitude by Sen's Slope Estimator (SS). Weather influence on RSV was also investigated by comparison of the ten hottest versus ten coldest states. Pearson correlation analysis was performed between number of Pubmed publications and RSV for each term over time.
Results: We found an upward tendency (p < 0.01) for most terms. Higher temporal trends were seen for "kidney stone" (SS = 0.36), "kidney pain" (SS = 0.39) and "tamsulosin" (SS = 0.21). Technical treatment terms had little search volumes and no increasing trend. States with hotter weather showed higher mean RSV for "kidney stone" than colder ones. There was little correlation between GT and Pubmed for most terms, with the exception of "kidney stone" (R = 0.89; p < 0.01), "URS" (R = 0.81; p < 0.01), and "laser lithotripsy" (R = 0.74; p = 0.01).
Conclusion: There was a significant increase in online search for medical information related to stone disease. Citizens tend to look for generic terms related to symptoms or the disease itself. States with hotter weather show higher RSV than colder states. There is a discrepancy between public and medical community medical terms.
(© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.)