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Updated: Nov 16, 2025

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
Published on: February 28, 2013
Efficacy and safety of glucose-lowering agents in patients with type 2 diabetes: A network meta-analysis of
Edoardo Mannucci1, Lara Naletto2, Gabriele Vaccaro2
1Diabetology, Careggi Hospital, Florence, Italy; University of Florence, Italy.
Aim:
Aim of the present network meta-analysis (NMA) is the comparison across glucose-lowering drugs (GLA) concerning their effects on glucose control, body weight, hypoglycemia, gastrointestinal adverse events, and quality of life.
Data Synthesis:
This NMA includes randomized clinical trials comparing different head-to-head comparison trials with EMA-approved GLA in type 2 diabetes, with a duration of ≥52 weeks. All drugs have to be administered at the maximal approved dose. Primary endpoints were HbA1c at 12, 52, and 104+ weeks. Secondary endpoints were body weight, quality of life, hypoglycemia, and gastrointestinal disorders. Indirect comparisons of different GLA were performed by NMA choosing metformin as reference. The standardized difference in means (SDM) and Mantel-Haenzel Odds Ratio [MH-OR] (using random-effect models) with 95% Confidence Intervals were calculated for categorical and continuous variables, respectively. We included 68 trials fulfilling all inclusion criteria. At 12 weeks, when considering indirect comparisons, insulin secretagogues (IS) were associated with a significantly greater reduction in comparison with metformin (SDM, -0.3 [-0.4;-0.2]%); a significantly lower efficacy was observed for pioglitazone. At 52 weeks, IS were no longer associated with a greater reduction of HbA1c; whereas a significant decrease in HbA1c was observed for GLP-1 RA (SDM, -0.2 [-0.1;-0.3]%). At 104+ weeks, only SGLT-2 inhibitors showed a significantly greater HbA1c reduction (SDM, -0.2 [-0.1;-0.3]%), whereas sulfonylureas and insulin showed a significantly lower efficacy (SDM, 0.1 [0.0; 0.2]%), and 0.4 [0.3; 0.5]%, respectively).
Conclusions:
The results of this meta-analysis should be considered together with evidence on long-term outcomes for selecting the most appropriate drugs for individual patients.
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