Study type

Study topic

DiseaseĀ /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness

Data collection methods

Combined primary data collection and secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

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

PIOGLITAZONE

Medical condition to be studied

Type 2 diabetes mellitus
Population studied

Short description of the study population

High risk type II diabetes mellitus (T2DM) patients previously enrolled in PROactive study, treated with pioglitazone or placebo in addition to their existing anti diabetic medication. Patients with completion of the final visit of the PROactive Study and willingness and ability to give written informed consent for the observational study were included.

Age groups

Adults (46 to < 65 years)

Special population of interest

Other

Special population of interest, other

Diabetes mellitus patients

Estimated number of subjects

3599
Study design details

Main study objective

The study aimed to investigate whether prior long term treatment of pioglitazone had any effect on the composite endpoint (including all-cause mortality, non-fatal myocardial infarction, coronary intervention, stroke, major leg amputation, bypass surgery or revascularisation in the leg, and the incidence, nature and pattern of newly diagnosed malignancies) in the PROactive enrolled T2DM patients.

Outcomes

Primary outcome included the time from randomization to occurrence of first macro-vascular event or death (which includes all-cause mortality, non-fatal myocardial infarction, coronary intervention, stroke, major leg amputation, bypass surgery or revascularisation in the leg) in T2DM patients.

Data analysis plan

Kaplan-Meier method was used for calculating survival curves for pioglitazone and placebo. Estimates of the hazard ratio (HR) were calculated using Cox model regression methods.
Documents
Study results
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