A Study of Tirzepatide (LY3298176) Compared to Dulaglutide in Participants With Type 2 Diabetes

HbA1c is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time.

Fasting serum glucose (FSG) is a test to determine sugar levels in serum sample after an overnight fast. LS mean was determined by MMRM model for post-baseline measures: Variable = Baseline + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares).

The self-monitored plasma glucose (SMBG) data were collected at the following 7 time points: Morning Premeal - Fasting, Morning 2-hour Postmeal, Midday Premeal, Midday 2-hour Postmeal, Evening Premeal, Evening 2-hour Postmeal and Bedtime. LS mean was determined by analysis of covariance (ANCOVA) model for with Baseline + Baseline HbA1c Group (<=8.5%, >8.5%) + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment (Type III sum of squares) as variables.

Change from baseline in body weight. LS mean was determined by MMRM model for post-baseline measures: Variable = Baseline + Baseline HbA1c Group (<=8.5%, >8.5%) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares).

Percentage of participants who achieve weight loss ≥5% from baseline.

Fasting Insulin is a test used to measure the amount of insulin in the body. LS mean was determined by MMRM model for post-baseline measures with log (Actual Measurement) = log (Baseline) + Baseline HbA1c Group (<=8.5%, >8.5%) + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.

Fasting C-peptide is a test used to measure the amount of C-peptide in the body. A high level of C-peptide can mean that body is making too much insulin. LS mean was determined by MMRM model for post-baseline measures: log (Actual Measurement) = log (Baseline) + Baseline HbA1c Group (<=8.5%, >8.5%) + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares).

HOMA-2B is an estimated steady state beta cell function based on updated HOMA2 model. The HOMA2 model estimates steady state pancreatic beta cell function (%B) as a percentage of a normal reference population using simultaneously measured fasting plasma glucose and fasting insulin. LS mean was determined by MMRM model for post-baseline measures: log(Actual Measurement/Baseline) = log(Baseline) + Baseline HbA1c Group (<=8.5%, >8.5%) + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares).

HOMA2-S is an estimated insulin sensitivity based on updated HOMA2 model. The HOMA2 model is a computer model that estimates insulin sensitivity (%S) as percentages of a normal reference population using simultaneously measured fasting plasma glucose and fasting insulin. LS mean was determined by MMRM model for post-baseline measures: log(Actual Measurement) = log(Baseline) + Baseline HbA1c Group (<=8.5%, >8.5%) + Baseline BMI Group (<25 or >=25 kg/m^2) + Washout of Antidiabetic Medication + Treatment + Time + Treatment*Time (Type III sum of squares).

The hypoglycemia events were defined by participant reported events with blood glucose <54mg/dL) (<3.0 mmol/L] or severe hypoglycemia. Severe hypoglycemia is defined as an episode with severe cognitive impairment requiring the assistance of another person to actively administer carbohydrate, glucagon, or other resuscitative actions. These episodes may be associated with sufficient neuroglycopenia to induce seizure or coma. The rate of postbaseline hypoglycemia was estimated by negative binomial model for post-baseline comparisons between treatment and control group: number of episodes = baseline hypoglycemia incidence + baseline BMI Group (<25 or >=25 kg/m^2) + washout of antidiabetic medication + baseline hemoglobin A1C (%) + treatment, with log (exposure in days/365.25) as an offset variable.

Number of participants with anti-tirzepatide antibodies. A participant is treatment emergent (TE) anti-drug antibody (ADA) evaluable if there is at least one non-missing test result for tirzepatide ADA for each of the baseline period and the postbaseline period. All percentages are relative to the total number of TE ADA evaluable participants in each treatment group. A TE ADA evaluable participant is considered to be TE ADA+ if the participant has at least one postbaseline titer that is a 4-fold or greater increase in titer from baseline measurement.