Effects of sodium-glucose cotransporter 2 inhibitors on serum uric acid in patients with type 2 diabetes mellitus: A systematic review and network meta-analysis.
AIMS
The present study aims to determine the effects of sodium-glucose cotransporter 2 (SGLT-2) inhibitors on the serum uric acid (SUA) levels of patients with type 2 diabetes mellitus (T2DM) in Asia.


METHODS
PubMed, CENTRAL, Embase and Cochrane Library databases were searched for randomized controlled trials of SGLT-2 inhibitors in patients with T2DM up to 15 July 2021, without language or date restrictions.


RESULTS
In total, 19 high-quality studies (4218 participants) were included in the present network meta-analysis. All of the included SGLT-2 inhibitors (empagliflozin, dapagliflozin, canagliflozin, ipragliflozin, luseogliflozin and tofogliflozin) significantly decreased SUA levels compared with those of the control [total standard mean difference -0.965, 95% CI (-1.029, -0.901), p = .000, I2  = 98.7%] in patients with T2DM. Subgroup analysis and meta-regression showed that the combined analysis of different inhibitors might lead to heterogeneity of the results. Therefore, among the SGLT-2 inhibitors, the results of the subsequent network meta-analysis revealed that luseogliflozin and dapagliflozin ranked the highest in terms of lowering SUA levels among the SGLT-2 inhibitors. Moreover, the network meta-analysis declared that luseogliflozin (1 and 10 mg) and dapagliflozin (5 mg) led to a superior reduction in SUA in patients with T2DM.


CONCLUSIONS
SGLT-2 inhibitors could significantly reduce SUA levels in patients with T2DM, particularly luseogliflozin (1 and 10 mg) and dapagliflozin (5 mg) possess the best effects. Therefore, SGLT-2 inhibitors look extremely promising as an antidiabetes treatment option in patients with T2DM with high SUA.
['Hu|Xiaodong|X|https://orcid.org/0000-0002-8210-8626', 'Yang|Yue|Y|https://orcid.org/0000-0002-3972-2911', 'Hu|Xiaona|X|', 'Jia|Xiaomeng|X|', 'Liu|Hongzhou|H|', 'Wei|Minjie|M|', 'Lyu|Zhaohui|Z|']
serum uric acid network meta-analysis T2DM SGLT-2 inhibitor