Study type

Study topic

Human medicinal product
DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Safety study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Case-control
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(G03BA03) testosterone
testosterone

Medical condition to be studied

Venous thrombosis
Population studied

Short description of the study population

Male Hypogonadal patients aged 18 years or old with at least 12 months (365 days) of continuous enrollment in the health plan prior to the index date.

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

Hypogonadal patients

Estimated number of subjects

3229
Study design details

Main study objective

To evaluate the VTE risk using cohort study design by estimating the incidence rates (IRs), and hazard ratio (HR) of VTE among patients treated with testosterone replacement therapy (overall and by different routes of administration) relative to a propensity score matched untreated comparison group.

Outcomes

According to the suggestion of FDA Mini-sentinel project, the following ICD-9 codes are used to define VTE : 415.x, 451.x, and 453.x. Three physicians will be adjundicating the claims of each case and dertermine if it is a idiopathic or non-idiopathic VTE case.

Data analysis plan

Please provide a brief summary of the analysis method: The primary analysis of this protocol is to compare the percentage of patients who developed incident VTE after index date in treated patients who received at least 1 prescription of any testosterone products versus untreated patients who have not received any testosterone prescription. Propensity score matching method will be applied to select untreated cohort and match to treated cohort. Cox regression model will be used to estimate the incidence rate and hazard ratio. For the secondary (nested case-control) analysis, the conditional logistic regression is planned for univariate and multivariate analyses. The association between testosterone exposure patterns (current and past exposure of testosterone) will be reported as crude and adjusted OR representing the testosterone exposures relative to non-testosterone users.