A summary of treatment emergent adverse events (TEAEs), SAEs and other non-serious adverse events (AEs), regardless of causality, will be reported in the Reported Adverse Events module

HbA1c is the glycosylated fraction of hemoglobin A. It is measured to identify average plasma glucose concentration over prolonged periods of time. Least Squares (LS) mean was determined by mixed model repeated measures (MMRM) model with Baseline + Pre-study oral antihyperglycemic medication (OAM) Group 1 + Treatment + Time + Treatment × Time as variables.

HbA1c is the glycosylated fraction of hemoglobin A. HbA1c is measured to identify average plasma glucose concentration over prolonged periods of time. Least Squares (LS) mean was determined by mixed model repeated measures (MMRM) model with Baseline + Oral Antihyperglycemic Medications (OAM) use + Treatment + Visit + Treatment\*Visit (Type III sum of squares) as variables.

HbA1c is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over prolonged periods of time. Least square (LS) mean in HbA1c was calculated using a restricted maximum likelihood (REML) based mixed-effects model for repeated measures (MMRM) and adjusted by, baseline + insulin Use + metformin Use + treatment + time + treatment\*time (Type III sum of squares). Variance-covariance structure = unstructured (for actual value) / unstructured (for change from baseline).

Least Squares mean (LS) of the HbA1c change from baseline to primary endpoint at week 24 was adjusted by treatment, country, SGLT2 inhibitor dose, metformin use, treatment-by-visit interactions as fixed effects, and baseline HbA1c as a covariate and participant as a random effect, via a MMRM analysis. The treatment-regimen estimand used all data including post-rescue data and compared the benefit of treatment regimens as they were actually taken.

LS mean of the HbA1c change from baseline to primary endpoint at week 24 was adjusted by treatment, country, SGLT2 inhibitor dose, metformin use, treatment-by-visit interactions as fixed effects, and baseline HbA1c as a covariate and participant as a random effect, via a MMRM analysis. The efficacy estimand excluded post-rescue data and compared the benefit of randomized treatments when taken as directed without rescue medication.

Least Squares Means (LS Means) of the HbA1c change from baseline to primary endpoint was adjusted by fixed effects of treatment, country, visit, treatment-by-visit interaction, participant as random effect and baseline HbA1c as covariate, via a Mixed-effects model for repeated measures (MMRM) analysis using restricted maximum likelihood (REML).

HbA1c is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over prolonged periods of time. Least square (LS) means of change from baseline in HbA1c were calculated using a mixed-effects model for repeated measures (MMRM) with the change in HbA1c as the dependent variable and treatment, baseline HbA1c, country, oral antihyperglycemic medication (OAM) , visit, and treatment-by-visit interaction as fixed effects, and participant was the random effect.

HbA1c is a form of hemoglobin that is measured primarily to identify the average plasma glucose concentration over prolonged periods of time. Least Squares (LS) means were calculated using mixed model repeated measures (MMRM) analysis adjusting for treatment, country, pre-study therapy stratum, visit, and treatment-by-visit as fixed effects; baseline HbA1c as covariate; and participant as a random effect.

Least Squares (LS) means of the glycosylated hemoglobin A1c (HbA1c) change from baseline to the primary endpoint at Week 26 was adjusted by fixed effects of treatment, country, visit, treatment-by-visit interaction, participant as random effect, and baseline HbA1c as covariates, via a mixed-effects model for repeated measures (MMRM) analysis using restricted maximum likelihood (REML).

A TEAE was defined as an event that first occurs or worsens (increases in severity) after baseline, regardless of causality or severity. The percentage of participants with TEAEs was calculated by dividing the number of participants with at least 1 TEAE over the 52-week treatment period by the total number of participants analyzed, multiplied by 100%. A summary of serious and other non-serious adverse events, regardless of causality, is located in the Reported Adverse Events module.

The percentage of participants with hypoglycemic episodes was calculated by dividing the number of participants with at least 1 hypoglycemic episode over the 52-week treatment period by the total number of participants analyzed, multiplied by 100%. All classifications of hypoglycemia (documented symptomatic, asymptomatic, severe, nocturnal, non-nocturnal, probable symptomatic, relative, and unspecified) were included, except for episodes of relative hypoglycemia that were not severe. A summary of serious and other non-serious adverse events, regardless of causality, is located in the Reported Adverse Events module.

The time from randomization to first occurrence of cardiovascular death, non-fatal myocardial infarction, or non-fatal stroke (a composite endpoint) was evaluated using time-to-event analysis. The primary analysis model was a Cox proportional hazards regression model for the time to the first occurrence of a primary endpoint event, with treatment as a fixed effect using the intent-to-treat population. The number of participants who experienced a primary cardiovascular (CV) endpoint event is presented.

Pharmacokinetics was assessed in healthy participants to determine the area under the concentration time curve from 0 to infinity (AUC\[0-∞\]) of Dulaglutide.

Pharmacokinetics was assessed in healthy participants to determine the maximum observed drug concentration (Cmax) of Dulaglutide.