Indirect comparison of finerenone and SGLT 2 inhibitors in established chronic kidney disease: evidence based on Bayesian methods

Author:

Chen Hai-Bin1,Li Dong-Yi1,Meng Rong-Sen1,Yang Yao-Lin1,Yu Tian-Hao1

Affiliation:

1. Guangdong Second Provincial General Hospital

Abstract

Abstract Background Head-to-head comparison of finerenone and SGLT2 inhibitors in patients with established chronic kidney disease (CKD) remains absent. Methods and results All dedicated CKD trials about finerenone versus placebo or SGLT2 inhibitors versus placebo were searched. A Bayesian approach to network meta-analysis was applied. In patients with CKD, no significant difference in the composite of renal outcomes (OR 1.14, 95% CI 0.92–1.88), the composite of cardiovascular death or hospitalization for heart failure (OR 0.94, 95% CI 0.58–1.56), all-cause mortality (OR 1.04, 95% CI 0.78–1.43), and cardiovascular death (OR 0.99, 95% CI 0.73–1.35) was observed between finerenone and SGLT2 inhibitors. In patients with type 2 diabetes and CKD, no significant difference in the composite of renal outcomes (OR 0.97, 95% CI 0.50–1.69), the composite of cardiovascular death or hospitalization for heart failure (OR 0.86, 95% CI 0.48–1.62), all-cause mortality (OR 0.97, 95% CI 0.74–1.28), and cardiovascular death (OR 0.95, 95% CI 0.65–1.38) was observed between finerenone and SGLT2 inhibitors. We ranked the risk of the major outcomes in patients with CKD. As a result, dapagliflozin was identified as having the lowest risk of renal outcomes and all-cause mortality, while canagliflozin was identified as having the lowest risk of cardiovascular outcomes. Conclusions In patients with CKD, there was no significant difference in the major outcomes between finerenone and SGLT2 inhibitors; however, dapagliflozin and canagliflozin may be associated with the lowest risk of the major outcomes.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3