Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Other

If ‘other’, further details on the scope of the study

Analysis of discrepancies in results between different databases
Non-interventional study

Non-interventional study design

Cohort
Other

Non-interventional study design, other

Case-crossover, Descriptive study = description of exposure and/or outcome in the whole database during a defined period of time
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(C08C) SELECTIVE CALCIUM CHANNEL BLOCKERS WITH MAINLY VASCULAR EFFECTS
SELECTIVE CALCIUM CHANNEL BLOCKERS WITH MAINLY VASCULAR EFFECTS
(C08D) SELECTIVE CALCIUM CHANNEL BLOCKERS WITH DIRECT CARDIAC EFFECTS
SELECTIVE CALCIUM CHANNEL BLOCKERS WITH DIRECT CARDIAC EFFECTS
(C08E) NON-SELECTIVE CALCIUM CHANNEL BLOCKERS
NON-SELECTIVE CALCIUM CHANNEL BLOCKERS

Medical condition to be studied

Colorectal cancer metastatic
Breast cancer
Prostate cancer stage I
Malignant melanoma
Renal cancer
Colon cancer stage II
Benign soft tissue neoplasm
Bone cancer metastatic
Hepatic neoplasm
Non-small cell lung cancer recurrent
Population studied

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
Infants and toddlers (28 days – 23 months)
Children (2 to < 12 years)
Adolescents (12 to < 18 years)
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

55700000
Study design details

Main study objective

To assess the association between the use of calcium channel blockers and the risk of cancer with different study designs across different primary care databases and to compare the results between databases, across designs to evaluate the impact of design/database/population differences on the outcome of the studied association.

Data analysis plan

Preliminary analyses will use non-parametric univariate and bivariate analysesCox proportional hazard models with time-dependent covariates adjusted on confounders ill be used to calculate the association between CCB exposure and risk of cancer. RR and 95 % CI will be established. CCB first-time and non-users between 01/01/1996 and 31/12/2009 will be followed from entry to the study until the earliest of: diagnosis date of study outcome (cancer), date of disenrollment from database, reaching 80 years of age, date of death, or end of study periodThree models will be performed One model will be with at least 1 prescription One model with pooled data with cumulated exposure Analysis based on the main treatment groupsPropensity score will also be computed for the previous analyses