The change from Baseline to Week 26 in HbA1c (the concentration of glucose bound to hemoglobin as a percent of the absolute maximum that can be bound).

The Full analysis Set (all randomized patients who took at least 1 dose of double-blind study drug) where a Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in HbA1c (the concentration of glucose bound to hemoglobin as a percent of the absolute maximum that can be bound) at 4 week intervals during the study. Least Squares Means were from an Analysis of Covariance (ANCOVA) model with treatment and geographic region as class variables and baseline HbA1c as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in fasting plasma glucose was assessed at weeks 1, 2, 4, 8, 12, 16, 20 and 26. Least Squares Means were from an ANCOVA model with treatment and geographic region as class variables and baseline plasma glucose as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Marked Hyperglycemia is defined as fasting plasma glucose greater than or equal to 200 mg/dL. Study week windows are defined to place hyperglycemia into visit categories.

Full analysis set including patients with at least one non-missing fasting plasma glucose result in the specified interval in each treatment group.

Rescue was defined as meeting 1 of the following criteria, confirmed by a 2nd sample drawn within 5 days after the first sample and analyzed by the central laboratory:

1. After more than 4 weeks of treatment but prior to the Week 8 Visit: a single fasting plasma glucose ≥310 mg/dL (≥17.5 mmol/L);
2. From the Week 8 Visit but prior to the Week 12 Visit: a single fasting plasma glucose ≥275 mg/dL (≥15.27 mmol/L);
3. From the Week 12 Visit through the End-of-Treatment Visit: HbA1c ≥8.5% and ≤0.5% reduction in HbA1c as compared with the Baseline HbA1c.

Full analysis set including patients with visits during or after the specified interval in each treatment group.

Clinical response at Week 26 was assessed by the percentage of participants with HbA1c ≤6.5%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with HbA1c ≤ 7%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with HbA1c ≤ 7.5%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of ≥ 0.5%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of ≥ 1%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of ≥ 1.5%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of ≥ 2.0%.

Full Analysis Set. Participants who did not complete the scheduled Week 26 visit were assessed based on their response at the time of discontinuation.

Proinsulin is a precursor to insulin, and was measured as an indicator of pancreatic function. The change from Baseline in fasting proinsulin was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least Squares Means were from an ANCOVA model with treatment and geographic region as class variables and baseline proinsulin as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in fasting insulin was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least Squares Means were from an ANCOVA model with treatment and geographic region as class variables and baseline insulin as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL) at weeks 4, 8, 12, 16, 20 and 26 relative to the Baseline value. Least squares means were from an ANCOVA model with treatment and geographic region as class variables and Baseline proinsulin/insulin ratio as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

C-peptide is a byproduct created when the hormone insulin is produced and is measured by a blood test. Change from Baseline was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline C-peptide as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The Homeostasis Model Assessment of insulin resistance (HOMA IR) measures insulin resistance based on fasting glucose and insulin measurements:

HOMA IR = fasting plasma insulin (µIU/mL) * fasting plasma glucose (mmol/L) / 22.5

A higher number indicates a greater degree of insulin resistance. The change from Baseline in HOMA IR was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline HOMA IR as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The Homeostasis Model Assessment (HOMA) estimates steady state beta cell function (%B) as a percentage of a normal reference population.

HOMA %B = 20 * insulin (µIU/mL) / fasting plasma glucose (mmol/L) - 3.5

The change from Baseline in the homeostasis model assessment of beta cell function was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline HOMA beta cell function as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in body weight was assessed at Weeks 8, 12, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and Baseline weight as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in total cholesterol level was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline total cholesterol as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in low-density lipoprotein cholesterol (LDL-C) was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline LDL cholesterol as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in high-density lipoprotein cholesterol (HDL-C) was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline HDL cholesterol as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in triglycerides was assessed at Weeks 4, 8, 12, 16, 20 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline triglycerides as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in free fatty acids (FFA) was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline free fatty acid as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in plasminogen activator inhibitor-1 was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline plasminogen activator inhibitor-1 as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in high-sensitivity C-Reactive Protein (hsCRP) was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline hsCRP as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in adiponectin was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline adiponectin as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in Apolipoprotein A1 was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and Baseline apolipoprotein A1 as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in apolipoprotein A2 was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline apolipoprotein A2 as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in apolipoprotein B was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline apolipoprotein B as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in apolipoprotein C-III was assessed at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline apolipoprotein C-III as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Nuclear Magnetic Resonance (NMR) lipid fractionation was used to assess the change from Baseline in total triglyceride levels at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline NMR total triglycerides as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of total VLDL/chylomicron particles and large VLDL/chylomicron particles was assessed by NMR lipid fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline VLDL/chylomicron particles as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of VLDL/chylomicron triglycerides was assessed by NMR lipid fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline VLDL/chylomicron triglycerides as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of medium VLDL particles and small VLDL particles was assessed by NMR fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline VLDL particles as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in mean VLDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline mean VLDL particle size as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of IDL particles was assessed by NMR fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline IDL particles as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of total, large, medium-small, total small and very small LDL particles was assessed by NMR fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline LDL particles as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in mean LDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline mean LDL particle size as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

The change from Baseline in levels of total, large, medium and small HDL particles was assessed by NMR fractionation at Weeks 12 and 26.

Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline HDL particles as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.

Change from Baseline in mean HDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26. Least squares means are from an ANCOVA model with treatment and geographic region as class variables and baseline mean HDL particle size as a covariate.

The full analysis set where Baseline and at least 1 postbaseline value were available. Last observation carried forward (LOCF) imputation was utilized.