Study type

Study topic

Human medicinal product
DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Safety study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Other

Non-interventional study design, other

Post Authorization Safety Study (PASS)
Study drug and medical condition

Name of medicine

INVOKANA

Study drug International non-proprietary name (INN) or common name

CANAGLIFLOZIN

Anatomical Therapeutic Chemical (ATC) code

(A10BK02) canagliflozin
canagliflozin

Medical condition to be studied

Pancreatitis acute
Population studied

Short description of the study population

Adult patients with T2DM who were newly exposed to a drug of interest (ie, canagliflozin or a comparator drug) between April 1, 2013 and September 30, 2017.

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)

Special population of interest

Other

Special population of interest, other

Type 2 diabetes mellitus patients

Estimated number of subjects

354000
Study design details

Main study objective

This observational, retrospective, new-user cohort study aims to 1. Estimate the incidence rate of acute pancreatitis in type 2 diabetes (T2D) patients newly exposed to canagliflozin and comparator antihyperglycemic agents (AHAs), and 2. Compare the hazard of acute pancreatitis in T2D patients newly exposed to canagliflozin vs. comparator AHAs, based on propensity-score matched cohorts.

Outcomes

Acute pancreatitis

Data analysis plan

Descriptive statistics of incidence rate will be presented. Comparative analysis will be conducted using both ITT and PP approaches for new users of canagliflozin vs. new users of alternative AHA therapy. Conditional Cox proportional hazards model based on time-to-first event approach, using propensity-score matched sets (with variable matching), will be used to estimate the comparative treatment effect size. The propensity score will be estimated through large-scale regularized regression, with demographics, all prior conditions/drugs/procedures, risk scores, utilization density as baseline covariates. Hochberg step-up procedure will be applied and adjusted p-values will be reported in addition to empirical p-values to control for multiple comparisons. A set of negative control outcomes will also be used to calibrate empirically observed p-values. Patients with a history of any form of pancreatitis will be evaluated and included in the study, if balance at baseline is achieved.