Predicted and observed BMI levels using doubly robust estimation adjusting for either a comprehensive set of confounders (left panel) or a set of confounders.

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Copyright © 2015 by the American Osteopathic Association.
From: Diabetes Medications as Monotherapy or Metformin-Based Combination Therapy for Type 2 DiabetesA Systematic Review and Meta-analysis Ann Intern Med.
Luigi F. Meneghini, MD, MBA  The American Journal of Medicine 
Stuart A. Ross, MB CHB, FRACP, FRCP(C) 
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Changes in A1C (A), body weight (B), and systolic blood pressure (C) with canagliflozin in combination with incretin-based therapies. *In the dose-advancement.
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Relationship between week 24 A1C and week 24 BeAM in the exploratory analysis (A), the main analysis (only patients with A1C >7.0% at week 24 were included.
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Comorbid conditions and concomitant medications.
ADA type 2 diabetes glycemic control algorithm, reproduced with permission from ref. 4. *Usually a basal insulin (neutral protamine Hagedorn, glargine,
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Predicted and observed BMI levels using doubly robust estimation adjusting for either a comprehensive set of confounders (left panel) or a set of confounders provided by a domain expert (right panel). Predicted and observed BMI levels using doubly robust estimation adjusting for either a comprehensive set of confounders (left panel) or a set of confounders provided by a domain expert (right panel). Red dots indicate the actual measurements of patients at baseline (before second-line treatment), after 6 and 12 months. Black dots (with error bars) represent the counterfactual predictions and 95% CIs, supposing all patients were treated with that drug class. BMI, body mass index; DPP-4, dipeptidyl peptidase 4; GLP-1, glucagon-like peptide-1 receptor agonists; SU, sulfonylurea; TZD, thiazolidinedione. Assaf Gottlieb et al. BMJ Open Diab Res Care 2017;5:e000435 ©2017 by American Diabetes Association