Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Safety study (incl. comparative)
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Case non-case design (disproportionnality analysis)
Study drug and medical condition

Name of medicine

DAPAGLIFLOZIN

Name of medicine, other

Canagliflozin, Empagliflozin

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

CANAGLIFLOZIN
DAPAGLIFLOZIN
EMPAGLIFLOZIN

Anatomical Therapeutic Chemical (ATC) code

(A10BK) Sodium-glucose co-transporter 2 (SGLT2) inhibitors
Sodium-glucose co-transporter 2 (SGLT2) inhibitors
(A10BK01) dapagliflozin
dapagliflozin
(A10BK02) canagliflozin
canagliflozin
(A10BK03) empagliflozin
empagliflozin

Additional medical condition(s)

Cancer
Population studied

Short description of the study population

Adults > 18 years old exposed to SGLT-2i or other oral antidiabetic drugs (GLP1 analogues and DPP4 inhibitors) in Vigibase between 2014 and 2023

Age groups

Adult and elderly population (≥18 years)
Adults (18 to < 65 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Elderly (≥ 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)
Study design details

Study design

Disproportionnality analysis on the WHO global database Vigibase.

Main study objective

Exploratory analysis in the WHO's global pharmacovigilance database, Vigibase, to search for main cancers risk signals associated with the use of SGLT-2i.

Setting

All ICSR between 01/01/2014 and 31/12/2023 were included. Patients 18 years old or older will be included. Cases are each subtype of cancer and non cases are all other ICSRs of the database. Exposed patients are ICSR with SGLT-2i (empagliflozin, dapagliflozin, canagliflozin) as suspected drug, controls are ICSR with GLP-1 analogues or DPP4 inhibitors as suspected drug.

Comparators

Patients exposed to GLP-1 analogues or DPP4 inhibitors

Outcomes

Reprorting Odds Ratios for cancers (overall) and each cancer taken individually.

Data analysis plan

The characteristics of the subjects in both groups will be described using frequencies and percentages. The disproportionality in cancer reporting between the exposed and non-exposed groups will be analyzed by calculating the Reporting Odds Ratio (ROR) through logistic regression with adjustments for age, sex, reporting country, and co-prescriptions with carcinogenic risk. The signal will be considered significant if the lower bound of the 95% confidence interval (CI95%) is greater than 1.