Tirzepatide
DrugAdministered SC
Other names: LY3298176
NCT Number: NCT05024032
This is a study of tirzepatide in Chinese participants without Type 2 Diabetes who have obesity or overweight.
The main purpose is to learn more about how tirzepatide affects body weight.
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Notify Me18 year and older
All sexes
Interventional
Phase 3
Beijing Tsinghua Changgung Hospital, Beijing, Beijing Municipality, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Administered SC
Other names: LY3298176
Administered SC
Time frame: Baseline, Week 52
Mean Percent Change from Baseline in Body Weight. Least squares (LS) mean was determined using mixed model repeated measures (MMRM) model with Baseline + Sex + Presence of Comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Week 52
Percentage of Participants who Achieve ≥5% Body Weight Reduction. A logistic regression model was used for this analysis.
Time frame: Baseline, Week 20
Mean Change from Baseline in Body Weight. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Week 52
Percentage of Participants who Achieve ≥10% Body Weight Reduction. A logistic regression model was used for this analysis.
Time frame: Week 52
Percentage of Participants who Achieve ≥15% Body Weight Reduction. A logistic regression model was used for this analysis.
Time frame: Baseline, Week 52
Mean Change from Baseline in Waist Circumference. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
Mean Change from Baseline in Absolute Body Weight. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
Mean Change from Baseline in BMI. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
Mean Change from Baseline in HbA1c. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
Mean Change from Baseline in FSG. LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
The SF-36v2 acute form, 1-week recall assesses participants' health-related quality of life (HRQoL) on 8 domains: Physical Functioning, Role-Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role-Emotional, and Mental Health. Information from these 8 domains is further aggregated into 2 health component summary scores: Physical Component Summary and Mental Component Summary.
Items are answered on Likert scales of varying lengths. 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 standard deviation of 10; higher scores indicate better levels of function and/or better health. Range cannot be specified in norm-based scores.
LS mean was determined using analysis of covariance (ANCOVA) model using Baseline + Sex + Presence of comorbidities + Treatment (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
The IWQOL Lite-CT consists of 20 items, assessing 2 primary domains of obesity related HRQoL: Physical (7 items) and Psychosocial (13 items). A 5-item subset of the Physical domain - the Physical Function composite - is also supported. Items in the Physical Function composite describe physical impacts related to general and specific physical activities. Total score of IWQOL-Lite-CT composite ranges from 0 to 100, with higher scores reflecting better quality of life. LS mean was determined using ANCOVA model with Baseline + Sex + Presence of comorbidities + Treatment (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model with Variable = Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model using log (Actual measurement/Baseline) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model using log (Actual Measurement) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model with Baseline + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model using log (Actual Measurement) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model using log (Actual Measurement) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model using log (Actual Measurement) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Time frame: Baseline, Week 52
LS mean was determined using MMRM model with log (Actual Measurement) = log (Baseline) + Sex + Presence of comorbidities + Treatment + Time + Treatment*Time (Type III sum of squares) as variables.
Eli Lilly and Company
Industry
Efficacy and Safety of Tirzepatide Once Weekly in Chinese Participants Without Type 2 Diabetes Who Have Obesity or Are Overweight With Weight-Related Comorbidities: A Randomized, Double-Blind, Placebo-Controlled Trial (SURMOUNT-CN)
Acronym: SURMOUNT-CN
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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