Alogliptin
DrugAlogliptin tablets.
Other names: SYR-322
NCT Number: NCT00328627
The purpose of this study is to evaluate the safety and efficacy of alogliptin, once daily (QD), taken in combination with pioglitazone in adults with type 2 diabetes mellitus.
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Notify Me18 year–80 year
All sexes
Interventional
Phase 3
Multiple Cities, Australia
Over the past 30 years, the prevalence of diabetes has increased dramatically throughout the world due to population growth, aging, urbanization, increasing obesity, and physical inactivity. The total number of people with type 2 diabetes mellitus is projected to rise from 171 million in 2000 to 366 million in 2030. The incidence of type 2 diabetes mellitus in the United States alone is expected to increase from approximately 17 to 30.3 million by the year 2030. Type 2 diabetes mellitus is associated with a number of long-term microvascular and macrovascular complications associated with a reduced quality of life and increased morbidity and mortality. It is anticipated that the increasing incidence of type 2 diabetes mellitus will place an ever-increasing burden on families, increase national expenditures for health care services, and decrease worker productivity.
Current pharmacologic interventions for type 2 diabetes mellitus include a diverse range of antidiabetic medications with different mechanisms of action including insulin and insulin analogues, sulfonylureas, metformin, meglitinides, thiazolidinediones, inhibitors of alpha-glucosidase, analogs of glucagon-like peptide-1 and synthetic analogues of human amylin. Despite the variety of medications, many have clinically important or potentially life-threatening side effects, restricted use in many subpopulations, concerns with long-term tolerability, and challenges related to compliance due to side effects and route of administration. All of these reasons contribute to the difficulties patients have achieving the target glycosylated hemoglobin level less than 7%.
SYR-322 (alogliptin) is a selective, orally available inhibitor of the dipeptidyl peptidase-4 enzyme. Dipeptidyl peptidase-4 enzyme is thought to be primarily responsible for the in vivo degradation of 2 peptide hormones released in response to nutrient ingestion, namely glucagon-like peptide-1 and glucose-dependent insulinotropic peptide. Both peptides exert important effects on islet beta cells to stimulate glucose-dependent insulin secretion as well as regulating beta cell proliferation and cytoprotection. Glucagon-like peptide-1, but not glucose-dependent insulinotropic peptide, inhibits gastric emptying, glucagon secretion, and food intake. Glucose-dependent insulinotropic peptide has been shown to enhance insulin secretion by direct interaction with a glucose-dependent insulinotropic peptide -specific receptor on islet beta cells. The glucose-lowering actions of glucagon-like peptide-1, but not glucose-dependent insulinotropic peptide, are preserved in patients with type 2 diabetes mellitus.
Pioglitazone (ACTOS®) is a thiazolidinedione developed by Takeda Chemical Industries, Ltd. (Osaka, Japan) that is approved for the treatment of type 2 diabetes mellitus. Pioglitazone is a selective peroxisome proliferator-activated receptor-gamma agonist that decreases insulin resistance in the periphery and liver resulting in increased insulin-dependent glucose disposal and decreased hepatic glucose output.
Given the complementary mechanisms of action of alogliptin (stimulation of insulin secretion) and pioglitazone (enhancement of insulin sensitivity), the goal of this study is to evaluate the efficacy of the combination of alogliptin with pioglitazone in patients who are inadequately controlled on metformin. Study participation is anticipated to be approximately 7 months.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Alogliptin tablets.
Other names: SYR-322
Alogliptin placebo-matching tablets.
Pioglitazone tablets.
Other names: ACTOS®
Pioglitazone placebo-matching tablets.
Time frame: Baseline and Week 26
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 primary analysis compared the groupings (combinations of individual treatment groups) of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone (Pioglitazone Alone).
Time frame: Baseline and Week 26
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).
Time frame: Baseline and Weeks 4, 8, 12, 16 and 20.
The change from Baseline to Weeks 4, 8, 12, 16 and 20 in HbA1c (the concentration of glucose bound to hemoglobin as a percent of the absolute maximum that can be bound).
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an analysis of covariance (ANCOVA) model with treatment and geographic region as class variables, and baseline metformin dose and HbA1c as continuous covariates.
Time frame: Baseline and Week 4
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 week 4. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HbA1c as continuous covariates.
Time frame: Baseline and Week 8
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 week 8. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HbA1c as continuous covariates.
Time frame: Baseline and Week 12
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 week 12.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HbA1c as continuous covariates.
Time frame: Baseline and Week 16
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 week 16. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HbA1c as continuous covariates.
Time frame: Baseline and Week 20
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 week 20.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HbA1c as continuous covariates.
Time frame: Baseline and Weeks 1, 2, 4, 8, 12, 16, 20 and 26.
The change from Baseline in fasting plasma glucose was assessed at weeks 1, 2, 4, 8, 12, 16, 20 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 1
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 2
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline fasting plasma glucose as covariates.
Time frame: From Week 1 to Week 26
Marked hyperglycemia is defined as fasting plasma glucose greater than or equal to 200 mg/dL (11.10 mmol/L).
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: From Week 1 to Week 26
Marked hyperglycemia is defined as fasting plasma glucose greater than or equal to 200 mg/dL (11.10 mmol/L).
Time frame: From Week 1 to Week 26.
Rescue was defined as meeting 1 of the following criteria, confirmed by a 2nd sample drawn within 5 days of the first and analyzed by the central laboratory:
Time frame: From Week 1 to Week 26
Rescue was defined as meeting 1 of the following criteria, confirmed by a 2nd sample drawn within 5 days of the first and analyzed by the central laboratory:
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 6.5%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 6.5%.
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 7%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 7%.
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 7.5%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Week 26
Clinical response at Week 26 was assessed by the percentage of participants with HbA1c less than or equal to 7.5%.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 0.5%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 0.5%.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 1%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 1%.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 1.5%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 1.5%.
Time frame: Baseline and Week 26.
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 2.0%.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Time frame: Baseline and Week 26
Clinical response at Week 26 was assessed by the percentage of participants with a decrease from Baseline in HbA1c of greater than or equal to 2%.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
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.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and proinsulin as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
The change from Baseline in fasting insulin was assessed at Weeks 4, 8, 12, 16, 20 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline insulin as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
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.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 4
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 8
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 12
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 16
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 20
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Week 26
The ratio of proinsulin to insulin was calculated as proinsulin (pmol/L) / insulin (μIU/mL).
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline proinsulin/insulin ratio as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
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.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline C-peptide as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
Change from Baseline in total cholesterol was assessed at Weeks 4, 8, 12, 16, 20 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline total cholesterol as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
Change from Baseline in low-density lipoprotein cholesterol (LDL-C) was assessed at Weeks 4, 8, 12, 16, 20 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline LDL cholesterol as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
Change from Baseline in high-density lipoprotein cholesterol (HDL-C) was assessed at Weeks 4, 8, 12, 16, 20 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HDL cholesterol as continuous covariates.
Time frame: Baseline and Weeks 4, 8, 12, 16, 20 and 26.
Change from Baseline in triglycerides was assessed at Weeks 4, 8, 12, 16, 20 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 4
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 16
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline triglycerides as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Change from Baseline in free fatty acids (FFA) was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline free fatty acid as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline free fatty acid as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline free fatty acid as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Change from Baseline in plasminogen activator inhibitor-1 (PAI-1) was assessed at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline PAI-1 as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline PAI-1 as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline PAI-1 as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Change from Baseline in high-sensitivity C-Reactive Protein (hsCRP) was assessed at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline hsCRP as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline hsCRP as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline hsCRP as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Change from Baseline in adiponectin was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline adiponectin as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline adiponectin as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline adiponectin as continuous covariates.
Time frame: Baseline and Weeks 8, 12, 20 and 26.
Change from Baseline in body weight was assessed at Weeks 8, 12, 20 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline weight as continuous covariates.
Time frame: Baseline and Week 8
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline weight as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline weight as continuous covariates.
Time frame: Baseline and Week 20
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline weight as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline weight as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
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 insulin resistance. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Least Squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and HOMA-IR as continuous covariates.
Time frame: Baseline and Week 12
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. Least Squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and HOMA-IR as continuous covariates.
Time frame: Baseline and Week 26
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. Least Squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and HOMA-IR as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The homeostatic model assessment estimates steady state beta cell function as a percentage of a normal reference population (%B).
HOMA %B = 20 * insulin (µIU/mL) / fasting plasma glucose (mmol/L) - 3.5.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HOMA beta cell function as continuous covariates.
Time frame: Baseline and Week 12
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. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HOMA beta cell function as continuous covariates.
Time frame: Baseline and Week 26
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. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline HOMA beta cell function as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Change from Baseline in Apolipoprotein A1 was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A1 as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A1 as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A1 as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
Change from Baseline in Apolipoprotein A2 was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A2 as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A2 as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein A2 as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
Change from Baseline in Apolipoprotein B was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein B as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein B as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein B as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
Change from Baseline in apolipoprotein C-III was assessed at Weeks 12 and 26. This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein C-III as continuous covariates.
Time frame: Baseline and Week 12
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein C-III as continuous covariates.
Time frame: Baseline and Week 26
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline apolipoprotein C-III as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
Nuclear Magnetic Resonance (NMR) lipid fractionation was used to assess the change from Baseline in total triglyceride levels at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR total triglycerides as continuous covariates.
Time frame: Baseline and Week 12
NMR lipid fractionation was used to assess the change from Baseline in total triglyceride levels at Week 12.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR total triglycerides as continuous covariates.
Time frame: Baseline and Week 26
NMR lipid fractionation was used to assess the change from Baseline in total triglyceride levels at Week 26.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR total triglycerides as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
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.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron particles as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in levels of total VLDL/chylomicron particles and large VLDL/chylomicron particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron particles as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in levels of total VLDL/chylomicron particles and large VLDL/chylomicron particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron particles as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in levels of VLDL/chylomicron triglycerides was assessed by NMR lipid fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron triglycerides as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in VLDL/chylomicron triglyceride levels was assessed by NMR lipid fractionation. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron triglycerides as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in VLDL/chylomicron triglyceride levels was assessed by NMR lipid fractionation. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL/chylomicron triglycerides as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in levels of medium VLDL particles and small VLDL particles was assessed by NMR fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL particles as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in levels of medium VLDL particles and small VLDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL particles as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in levels of medium VLDL particles and small VLDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR VLDL particles as continuous covariates
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in mean VLDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean VLDL particle size as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in mean VLDL particle size was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean VLDL particle size as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in mean VLDL particle size was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean VLDL particle size as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in levels of IDL particles was assessed by NMR lipid fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR IDL particles as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in levels of IDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR IDL particles as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in levels of IDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR IDL particles as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
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.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR LDL particles as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in levels of total, large, medium-small, total small and very small LDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR LDL particles as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in levels of total, large, medium-small, total small and very small LDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR LDL particles as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in mean LDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean LDL particle size as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in mean LDL particle size was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean LDL particle size as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in mean LDL particle size was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean LDL particle size as continuous covariates.
Time frame: Baseline and Weeks 12 and 26.
The change from Baseline in levels of total, large, medium and small HDL particles was assessed by NMR fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR HDL particles as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in levels of total, large, medium and small HDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR HDL particles as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in levels of total, large, medium and small HDL particles was assessed by NMR lipid fractionation.
Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline NMR HDL particles as continuous covariates.
Time frame: Baseline and Weeks 12 and 26
The change from Baseline in mean HDL particle size was assessed by NMR lipid fractionation at Weeks 12 and 26.
This analysis compared the groupings of participants who received the combination of pioglitazone with each dose of alogliptin with the grouping of participants who received pioglitazone alone. Least squares means are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean HDL particle size as continuous covariates.
Time frame: Baseline and Week 12
The change from Baseline in mean HDL particle size was assessed by NMR lipid fractionation. Least squares means are from are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean HDL particle size as continuous covariates.
Time frame: Baseline and Week 26
The change from Baseline in mean HDL particle size was assessed by NMR lipid fractionation. Least squares means are from are from an ANCOVA model with treatment and geographic region as class variables, and baseline metformin dose and baseline mean HDL particle size as continuous covariates.
Takeda
Industry
A Multicenter, Randomized, Double-Blind, Placebo-Controlled Study to Determine the Efficacy and Safety of the Combination of SYR-322 (SYR110322) and Pioglitazone HCl (ACTOS®), in Subjects With Type 2 Diabetes
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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