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Trial · NCT05616013

Registered outcomes42

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescription
PrimaryChange From Baseline in Body Weight at Week 48Baseline, Week 48
Least Square mean was determined by MMRM model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Waist Circumference at Week 48Baseline, Week 48
Waist circumference was measured in standing position with a non-stretchable measuring tape to the nearest 0.1 centimeter (cm). Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Waist Circumference at Week 72Baseline, Week 72
Waist circumference was measured in standing position with a non-stretchable measuring tape to the nearest 0.1 cm. Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Total Body Fat Mass in Kilograms (kg) at Week 48Baseline, Week 48
Change from baseline in total body fat mass in kg was assessed by Dual energy X-ray absorptiometry (DXA). Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Total Body Fat Mass in kg at Week 72Baseline, Week 72
Change from baseline in total body fat mass in kg was assessed by DXA. Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryPercent Change From Baseline for Fat Mass by DXA at Week 48Baseline, Week 48
Percent change from baseline for fat mass was assessed by DXA. Least Square mean was determined by MMRM model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryPercent Change From Baseline for Fat Mass by DXA at Week 72Baseline, Week 72
Percent change from baseline for fat mass was assessed by DXA. Least Square mean was determined by MMRM model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Visceral Adipose Tissue (VAT), Subcutaneous Adipose Tissue (SAT) and Trunk Fat Mass by DXA at Week 48Baseline, Week 48
Change from baseline in VAT, SAT and trunk fat mass was assessed by DXA. Least Square mean was determined by MMRM model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in VAT, SAT and Trunk Fat Mass by DXA at Week 72Baseline, Week 72
Change from baseline in VAT, SAT and trunk fat mass was assessed by DXA. Least Square mean was determined by MMRM model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryPercentage of Participants With Reduction in Waist Circumference Greater Than or Equal to (≥) 5 cm at Week 48Week 48Waist circumference was measured in a standing position with a non-stretchable measuring tape to the nearest 0.1 cm. Only participants with non-missing baseline value were included in analysis.
SecondaryPercentage of Participants With Reduction in Body Weight ≥ 5%, ≥ 10% and ≥15% at Week 48Week 48Body weight was measured in kgs to the nearest 0.1 kg. Only participants with non-missing baseline value were included in analysis.
SecondaryPercentage of Participants With Reduction in Fat Mass ≥ 5% ≥ 10% ≥ 15% by DXA at Week 48Week 48Only participants with non-missing baseline value were included in analysis.
SecondaryPercentage of Participants Achieving Fat Mass ≥ 10% Reduction With <5% Decrease in Lean Mass by DXA at Week 48Week 48Only participants with non-missing baseline value were included in analysis.
SecondaryPercentage of Participants Achieving >5 kg Weight Loss and Fat Loss Index (FLI) of >70%, >80%, and >90% by DXA at Week 48Week 48Fat Lost Index = % change in fat mass/% change in lean mass + % change in fat mass. Only participants with non-missing baseline value were included in analysis.
SecondaryChange From Baseline in Body Fat Mass by Bioelectrical Impedance Analysis (BIA) at Week 48Baseline, Week 48
Change from baseline in body fat mass was assessed through BIA. LS mean was determined using MMRM model for post-baseline measures: Variable is modelled by Treatment, Visit, Treatment-by-Visit interaction, Sex, and Country as fixed effects, with Baseline as a covariate. Variance-Covariance structure = Unstructured. Only participants with non-missing baseline value were included in the analysis.
SecondaryChange From Baseline in Body Fat Mass by BIA at Week 72Baseline, Week 72
Change from baseline in body fat mass was assessed through BIA. LS mean was determined using MMRM model for post-baseline measures: Variable is modelled by Treatment, Visit, Treatment-by-Visit interaction, Sex, and Country as fixed effects, with Baseline as a covariate. Variance-Covariance structure = Unstructured. Only participants with non-missing baseline value were included in the analysis.
SecondaryPercent Change From Baseline in Body Fat by BIA at Week 48Baseline, Week 48
Percent change from baseline in Body fat was assessed through BIA. LS mean was determined using MMRM model for post-baseline measures: Variable is modelled by Treatment, Visit, Treatment-by-Visit interaction, Sex, and Country as fixed effects, with Baseline as a covariate. Variance-Covariance structure = Unstructured. Only participants with non-missing baseline value were included in the analysis.
SecondaryPercent Change From Baseline in Body Fat by BIA at Week 72Baseline, Week 72
Percent change from baseline in Body fat was assessed through BIA. LS mean was determined using MMRM model for post-baseline measures: Variable is modelled by Treatment, Visit, Treatment-by-Visit interaction, Sex, and Country as fixed effects, with Baseline as a covariate. Variance-Covariance structure = Unstructured. Only participants with non-missing baseline value were included in the analysis.
SecondaryChange From Baseline in Lean Mass by DXA at Week 48Baseline, Week 48
Change from baseline in lean mass was assessed by DXA. Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.
SecondaryChange From Baseline in Lean Mass by DXA at Week 72Baseline, Week 72
Change from baseline in lean mass was assessed by DXA. Least Square mean was determined by mixed model repeated measures (MMRM) model for post-baseline measures: Variable is modelled by Gender (Male, Female), Country (Australia, New Zealand, United States of America), Visit, Treatment, and Visit-by-Treatment interaction as fixed effects, and Baseline as a covariate. Variance-Covariance structure= Unstructured. Only participants with non-missing baseline value were included in analysis. No imputation was performed for missing values.

Source ClinicalTrials.govtrials-2026-11-12-0.5.0

Sources 3

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
  • NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated
  • NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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