| Literature DB >> 27583237 |
Wisit Cheungpasitporn1, Charat Thongprayoon1, Michael A Mao1, Wonngarm Kittanamongkolchai1, Insara J J Sathick1, Stephen B Erickson1.
Abstract
BACKGROUND: The use of renin-angiotensin system (RAS) inhibitors in patients with chronic kidney disease, and especially in diabetic kidney disease, has been shown to provide renoprotective effects and slow progression to end-stage renal disease. However, this protective effect in kidney transplant patient populations is unclear. AIM: The objective of this systematic review and meta-analysis was to evaluate the effect of RAS inhibitors on kidney allograft survival.Entities:
Keywords: Angiotensin-converting enzyme inhibitors; angiotensin II receptor blockers; kidney transplantation; renin-angiotensin system inhibitors; transplantation
Year: 2016 PMID: 27583237 PMCID: PMC4982358 DOI: 10.4103/1947-2714.187141
Source DB: PubMed Journal: N Am J Med Sci ISSN: 1947-2714
Main characteristics of the observational studies included in this meta-analysis
Main characteristics of the randomized controlled studies included in this meta-analysis
Figure 1Forest plot of all included studies comparing the risk of renal allograft failure in kidney transplant recipients with renin-angiotensin system inhibitors vs. control; square data markers, risk ratios (RR); horizontal lines, 95% confidence intervals (CIs), with marker size reflecting the statistical weight of the study using random-effects meta-analysis. Diamond data markers, overall RRs, and 95% CIs for outcomes of interest. IV, inverse variance; SE, standard error
Figure 2Forest plot of randomized controlled trails comparing the risk of renal allograft failure in kidney transplant recipients with renin-angiotensin system inhibitors vs. control; square data markers, risk ratios (RRs); horizontal lines, 95% confidence intervals (CIs), with marker size reflecting the statistical weight of the study using random-effects meta-analysis. Diamond data markers, overall RRs, and 95% CIs for outcomes of interest. IV, inverse variance; SE, standard error