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Comment on “An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database”, written by Sharma et al

Authors Bocquet V

Received 13 December 2016

Accepted for publication 30 December 2016

Published 25 January 2017 Volume 2017:9 Pages 63—65

DOI https://doi.org/10.2147/CLEP.S130096

Checked for plagiarism Yes

Editor who approved publication: Professor Vera Ehrenstein


Valéry Bocquet

Competence Center for Methodology and Statistics, Luxembourg Institute of Health, Luxembourg

Diabetes is a disease whose global prevalence has been rising year after year, and by 2014 more than 400 million individuals were diagnosed with diabetes.1 As a consequence, screening of patients with type 1 or type 2 diabetes has become important, both to estimate the prevalence of diabetes and to treat affected individuals. For that purpose, a two-step algorithm suggested by Sharma et al2 was recently published, whose aims were to identify type 1 or type 2 individuals from a primary care database. The first step of the algorithm was based on the diagnostic records, treatment given, and results obtained from clinical tests. The second part was based on the combination of diagnostic codes, prescribed medications, age at the time of diagnosis, and finally whether the case was prevalent or incident.

View original paper by Sharma et al

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