Study type

Study topic

Human medicinal product
Disease /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
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

Amputation
Population studied

Short description of the study population

Patients who are new users of anti-hyperglycemic agent (AHA) of interest with at least 365 days of prior observation and a diagnosis of T2DM, but no diagnosis of type 1 DM (T1DM) or “secondary diabetes”, prior to the pre-specified AHA exposure.

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

714582
Study design details

Main study objective

The main objective of this study is to assess in healthcare databases whether Canagliflozin and other sodium-glucose co-transporter 2 inhibitors (SGLT2i) are associated with the risk of below-knee lower extremity (BKLE) amputation compared to non-SGLT2i antihyperglycemic agents (AHAs) and whether the risk of BKLE amputation is different between patients treated with Canagliflozin and other SGLT2i.

Outcomes

below-knee lower extremity (BKLE) amputation, lower extremity osteomyelitis, lower extremity ulcer, gangrene, peripheral occlusive disease

Data analysis plan

Crude incidence rates of BKLE amputation in each exposure cohort and pre-defined subgroups will be estimated. Baseline patient characteristics including risk factors for amputation will be summarized for those treated with target drugs versus comparator drugs. Cox proportional hazards model will be used to estimate Hazard Ratio (HR) for new user patients treated with target drugs versus comparator drugs. Exposure propensity-score (PS) will be estimated through large-scale regularized regression using all available data and used to control for confounding by imbalanced baseline covariates. Both PS matching and PS stratification will be used for adjustment. P-values in comparative analyses will be calibrated using negative control outcomes to address residual bias. Data source-specific HRs, 95% CIs, pre- and post- calibration p values will be generated for each comparison in each database. Meta-analytic estimates across 4 databases will be generated when there is sufficient homogeneity.