Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Drug utilisation
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(G03XC05) ospemifene
ospemifene

Medical condition to be studied

Dyspareunia
Population studied

Age groups

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

Estimated number of subjects

35115
Study design details

Main study objective

a) Compare the incidence of VTE, among postmenopausal women who are newly prescribed ospemifene to that among patients diagnosed with but not treated for VVA.b) Compare the incidence of VTE, among postmenopausal women who are newly prescribed ospemifene to that among postmenopausal women newly prescribed other SERM therapies being utilised for oestrogen-deficiency conditions.

Outcomes

The primary outcome of the study is the first occurrence of the following events during the follow-up period:• Venous thromboembolic events(VTE), including deep vein thrombosis (DVT), pulmonary embolism, and retinal vein thrombosis, First occurrence of the following events (time to event): Cerebrovascular events, Endometrial hyperplasia, Endometrial cancer, Pelvic organ prolapse, Urinary incontinence, Gall bladder events, Atrial fibrillation, Renal failure, Renal carcinoma, Renal adenoma, Liver tumours, Thymic epithelial tumours, Increased triglycerides, uterine diagnostic tests and procedures, off-label usage of ospemifene.

Data analysis plan

Descriptive statistics will summarise patient demographics, proportion of patients with VTE, proportion of patients prescribed medications related to VTE. Hazard ratios and their 95% confidence intervals will be calculated and appropriate analyses will be conducted for the events of interest. A Cox regression model with time-dependent predictors will be used for the main comparison analysis. The analyses will be carried out separately to compare ospemifene to treatment with SERM and to untreated patients. The analyses would rely on time-dependent indicators to track changes in treatments. The Cox proportional hazard models will be adjusted for confounding factors using fully covariate adjusted models (implemented through inclusion of covariates in the model).As a secondary analysis, marginal structural models using inverse probability of treatment weighting in time-varying Cox models will be used to compare the risk of each outcome (VTE and stroke) between the treatment cohorts.