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Validity of an algorithm to identify cardiovascular deaths from administrative health records: a multi-database population-based cohort study
A cardiovascular mortality algorithm applied to administrative health records had moderate validity when compared to vital statistics data. Substantial variation existed across study sites representing different geographic locations and two healthcare systems, possibly reflecting different diagnostic coding practices and healthcare utilization patterns.
Sodium-glucose cotransporter 2 inhibitors and the risk of below-knee amputation: a multicenter observational study
SGLT2 inhibitor use was not associated with an increased risk of incident below-knee amputation compared to DPP-4 inhibitors among patients with type 2 diabetes.
Q18-10Sodium glucose cotransporter 2 inhibitors and risk of major adverse cardiovascular events: multi-database retrospective cohort study
SGLT2 inhibitor use was associated with a decreased risk of serious cardiovascular events compared with the use of DPP-4 inhibitors among patients with type 2 diabetes.
Q18-06Sodium-glucose cotransporter-2 inhibitors and the risk for diabetic ketoacidosis: a multicenter cohort study
SGLT2 inhibitor use was associated with an increased risk of diabetic ketoacidosis compared to DPP-4 inhibitors among patients with type 2 diabetes.
Q18-11Extreme restriction design as a method for reducing confounding by indication in pharmacoepidemiologic research
Confounding by indication is a concern in observational pharmacoepidemiologic studies, including those that use active comparator, new user (ACNU) designs. Here, we present a method of restriction to an indication, which we call "extreme restriction," to reduce confounding in such studies.
Multiple imputation for systematically missing confounders within a distributed data drug safety network: A simulation study and real-world example
We conducted a simulation study and a real-world analysis using the UK's Clinical Practice Research Datalink to evaluate multiple imputation for confounders that are systematically missing from a subset of data sites in mock distributed data networks.