Abstract

Abstract Background and Aims Type 2 diabetes (T2D) is one of the prominent causes for chronic kidney disease (CKD) leading to end-stage renal failure. Traditionally, prevention and retardation of CKD was attempted with effective glycemic and blood pressure control. In recent times sodium glucose co-transporter 2 inhibitors (SGLT-2is), glucagon-like peptide 1 receptor agonists (GLP1-RA), and non-steroidal mineralocorticoid receptor (MRA) inhibitors have proved to be excellent agents in preventing cardio-renal outcomes in patients with T2D, independent of baseline glucose control. SGLT-2is rank the highest in recent network meta-analysis-based scoring. We conducted this network meta-analysis to explore the ranking of intensive glucose therapy in comparison to SGLT-2is, to better understand the present position of the traditional approach and its relevance. Method A database search was conducted using the Cochrane library to identify relevant citations. Analysis was conducted using RStudio (2022.07.1, Build 554). Using progression of macroalbuminuria and end-stage kidney disease (ESKD) as the outcomes of interest, scoring was performed comparing intensive glycemic control (IGC) and SGLT-2is. Using a frequentist approach P-score was conducted and corroborated using the Surface Under the Cumulative Ranking (SUCRA) using Bayesian network meta-analysis. Results A pooled population of 62,742 patients from twelve citations were included for analysis. The Cochrane risk of bias was used to assess quality of the studies. IGC scored higher than SGLT-2is as far as retardation of progression of macroalbuminuria was concerned while using both the P-score (0.99 Vs 0.50) as well as the SUCRA (0.97 Vs 0.52). A similar trend was also observed with ESRD as the end point with both the P-score (0.84 Vs 0.65) and the SUCRA (0.81 Vs 0.68) rankings favoring IGC (Fig. 1). Conclusion The importance of achieving glycemic targets should be emphasized in recommendations in the same footing as the choice of individual reno-protective agents.

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