ABC | Volume 114, Nº4, April 2020

Viewpoint Ferreira et al. Anticoagulant Search Trends and Stroke Arq Bras Cardiol. 2020; 114(4):726-729 have access to the internet. Specific areas in medicine where this strategy may be of value are yet to be determined and should be explored in future studies. Acknowledgements This study was supported by the Federal University of Rio de Janeiro and the Edson Saad Heart Institute. Author contributions Conception and design of the research, analysis and interpretation of the data, writing of the manuscript and critical revision of the manuscript for intellectual content: Ferreira RM, Pinheiro IC, Rocha JRF; Acquisition of data and Statistical analysis: Ferreira RM. Potential Conflict of Interest No potential conflict of interest relevant to this article was reported. Sources of Funding There were no external funding sources for this study. Study Association This study is not associatedwith any thesis or dissertationwork. Ethics approval and consent to participate This article does not contain any studies with human participants or animals performed by any of the authors. 1. Katz D, Maddox T, Turakhia M, Gehi A, O’Brien E, Lubitz S, et al. Contemporary Trends inOral Anticoagulant Prescription in Atrial Fibrillation Patients at Low toModerate Risk of Stroke After Guideline-Recommended Change in Use of the CHADS 2 to the CHA 2 DS 2 -VASc Score for Thromboembolic Risk Assessment. Circ Cardiovasc Qual Outcomes. 2017;10(5):e003476. 2. Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J. 2016;37(38):2893-962. 3. Buckingham T, Hatala R. Anticoagulants for atrial fibrillation: Why is the treatment rate so low?. Clin Cardiol. 2002;25(10):447-54. 4. López-López J, Sterne J, Thom H, Higgins J, Hingorani A, Okoli J, et al. Oral anticoagulants for prevention of stroke in atrial fibrillation: systematic review, network meta-analysis, and cost effectiveness analysis. BMJ. 2017;359:j5631. 5. Moat H, Olivola C, Chater N, Preis T. Searching Choices: Quantifying Decision-Making Processes Using Search Engine Data. Top Cogn Sci. 2016;8(3):685-96. 6. Lippi G, Mattiuzzi C, Cervellin G, Favaloro E. Direct oral anticoagulants: analysis of worldwide use and popularity using Google Trends. Ann Transl Med. 2017;5(16):322. 7. Kritz M, Gschwandtner M, Stefanov V, Hanbury A, Samwald M. Utilization and Perceived Problems of Online Medical Resources and Search Tools Among Different Groups of European Physicians. J Med Internet Res. 2013;15(6):e122. 8. Blanchon T.Web-based sentinel provider surveillance network in France. In: Nkuchia M, Lynfield R, Van Beneden CA, de Valk H, eds. Infectious dsease surveillance. Philadelphia: Willey-Blackwell; 2013. p.418-25. 9. Simmering J, Polgreen L, Polgreen P. Web search query volume as ameasure of pharmaceutical utilization and changes in prescribing patterns. Res Social Adm Pharm 2014;10(6):896-903. 10. SchusterN,RogersM,McMahonL.UsingSearchEngineQueryDatatoTrack Pharmaceutical Utilization: A Study of Statins. Am J Manag Care 2010;16(8): e215–9. 11. Hernandez, I.,Saba,S.andZhang,Y.GeographicVariation intheUseofOral Anticoagulation Therapy in Stroke Prevention in Atrial Fibrillation. Stroke 2017;48(8):2289-91. 12. Brasil. Ministério da Saúde. Datasus. Informações estatísticas da saúde. Brasilia; 2018. 13. WorldHealthOrganization . (WHO). InternationalClassificationofDiseases. Washington; 2018. 14. Interfarma. Associação da Indústria Farmacêutica de Pesquisa; Guia 2016 Interfarma. São Paulo; 2016. 15. Instituto Brasileiro de Geografia e Estatística. (IBGE). Indicadores 2015. Rio de Janeiro; 2018. References This is an open-access article distributed under the terms of the Creative Commons Attribution License 729