Change From Baseline in Hemoglobin A1c (HbA1c) [Non-inferiority of 12 mg Orforglipron Versus 14 mg Semaglutide, Superiority of 12 mg and 36 mg Orforglipron Versus 7 mg and 14 mg Semaglutide]
Time frame · Baseline, Week 52
Registry description
* HbA1c is the glycosylated fraction of hemoglobin A. It is measured to identify average plasma glucose concentration over prolonged periods of time.
* LS mean was analysed by mixed model repeated measures (MMRM) model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percentage of Participants Who Achieved HbA1c <7.0% [53 Millimoles/Mole (mmol/Mol)]
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Percentage of Participants Who Achieved HbA1c <=6.5% (48 mmol/Mol)
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Percentage of Participants Who Achieved HbA1c <5.7% (39 mmol/Mol)
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Percent Change From Baseline in Body Weight
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Change From Baseline in Body Weight
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Change From Baseline in Fasting Serum Glucose
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Change From Baseline in Daily Average 7-point Self-monitored Blood Glucose (SMBG)
Time frame · Baseline, Week 52
Registry description
The SMBG data were collected at the following 7 time points: Morning Premeal - Fasting, Morning 2-hour Post meal, Midday Premeal, Midday 2-hour Post meal, Evening Premeal, Evening 2-hour Post meal and Bedtime. The daily average was calculated as the average of the 7 blood glucose values collected on a particular day. LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percentage of Participants Who Achieved Weight Loss of >=5%
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Percentage of Participants Who Achieved Weight Loss of >=10%
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Percentage of Participants Who Achieved Weight Loss of >=15%
Time frame · Week 52
Registry description
The reported values represent model-based group mean percentages estimated from a logistic regression model using imputed data, with estimates combined across multiple imputations using Rubin's rule. Logistic regression model variables: Country + Treatment\*Baseline + Treatment\*Strata (defined by baseline HbA1c level \[\<=8.0%, \>8.0%\]).
Change From Baseline in Systolic Blood Pressure (SBP)
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Change From Baseline in Diastolic Blood Pressure (DBP)
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + Baseline\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Total Serum Cholesterol
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Serum Low Density Lipoprotein (LDL) Cholesterol
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Serum Non High Density Lipoprotein (Non-HDL) Cholesterol
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Serum Triglycerides
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Serum High Density Lipoprotein (HDL) Cholesterol
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Percent Change From Baseline in Serum Very Low Density Lipoprotein (VLDL) Cholesterol
Time frame · Baseline, Week 52
Registry description
LS mean was analysed by MMRM model with Country + log(Baseline)\*Time\*Treatment + Strata\*Time\*Treatment as variables. Strata is defined by joint levels of HbA1c level (\<=8.0%, \>8.0%).
Change From Baseline in Short Form 36 Version 2 (SF-36-v2) Acute Form (Physical Component and Mental Component Scores)
Time frame · Baseline, Week 52
Registry description
The SF-36v2 is a participant-reported measure designed to assess health status using 36 items across 8 domains: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. The physical functioning domain assesses limitations due to health "now," whereas the remaining domains assess functioning "in the past week." Each domain is scored individually, and information from these 8 domains is aggregated into 2 health component summary scores, the physical component summary and mental component summary. Items are answered on Likert scales of varying lengths (3-point, 5-point, or 6-point scales). Scoring of each domain and both summary scores are norm based and presented in the form of T-scores, with a mean of 50 and a standard deviation of 10. Higher scores indicate better levels of function and/or better health. Range cannot be specified in norm-based scores.