Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(A10BD20) metformin and empagliflozin
metformin and empagliflozin

Medical condition to be studied

Type 2 diabetes mellitus
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

56100
Study design details

Main study objective

The main objective of the study is to estimate, among patients with type 2 diabetes mellitus, the risk of all urinary tract cancers and those of bladder and renal cancers also separately in patients initiating empagliflozin compared to patients initiating a DPP-4 inhibitors and to patients initiatin

Outcomes

The primary outcomes of interest for this study are urinary tract cancers, bladder cancer, and renal cancer. The secondary outcome of interest for this study is non-renal, non-bladder urinary tract cancers (referred to as other urinary tract cancers). Non-renal, non-urinary bladder urinary tract cancers include ureter and urethra cancers.

Data analysis plan

The main data analyses will be conducted in two stages: (i) construction of the propensity score (PS)-matched cohorts (for each comparison) (ii) estimating the effect of exposure to empagliflozin on the outcomes using adjusted hazard ratio compared to those exposed to DPP-4 inhibitor or SGLT-2 inhibitor and their respective incidence rates.
Patients starting combination of empagliflozin and metformin (fixed-dose or free combination) will be compared with patients starting combination of another DPP-4 inhibitor or SGLT-2 inhibitor and metformin.
Incidence rates (crude and adjusted) will be presented for each exposure group and stratified by relevant variables using the Poisson regression approach. Relative risks will be presented as hazard ratios adjusted for relevant variables using the Cox’s proportional hazards model with the time-varying covariate approach.
The adjusted hazard ratios and incidence rates will be presented along with 95% confidence intervals for the risk estimate