Systematic review and Meta-analysis of Potential Pleiotropic Effects of Sevelamer in Chronic Kidney Disease: Beyond Phosphate Control.
Roopa Satyanarayan BasutkarResia VargheseNina Kallanthanath MathewPrithika Sankar IndiraBalasubramaniam ViswanathanSivasankaran PonnusankarPublished in: Nephrology (Carlton, Vic.) (2021)
Sevelamer, has been shown to have many pleiotropic actions on lipid panel, various inflammatory markers, and blood glucose levels in chronic kidney disease patients. We conducted a systematic review and meta-analysis to compare these pleiotropic effects of sevelamer to other phosphate binders used in chronic kidney disease patients. The relevant randomized controlled trials published from 1st January 2001 to 31st November 2019 on the following databases: Cochrane Central Register of Controlled Trials published in The Cochrane Library, PubMed, Scopus, and Google Scholar were identified. All the included studies were independently assessed for eligibility and risk of bias. The modified data extraction form of Cochrane was used. This review included 44 studies for qualitative analysis and 28 reports for quantitative analysis. A meta-analysis of 3 studies (n=180) showed that glycated hemoglobin had significantly decreased in sevelamer treated patients (MD: 0.5%; p=<0.001). Compared with calcium-based phosphate binders, sevelamer showed a significant reduction in low-density lipoprotein (MD: -19.43 mg/dL; p= <0.001) and total cholesterol (MD: -19.98 mg/dL; p<0.001). A significant increase in high-density lipoprotein (MD: 1.29 mg/dL; p=0.05) was also prominent in sevelamer treated patients. However, we were not able to observe a significant change in other biochemical parameters such as TG, CRP, hs-CRP, FGF-23, IL-6 and albumin as, no statistically significant difference was observed. This article is protected by copyright. All rights reserved.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- low density lipoprotein
- randomized controlled trial
- peritoneal dialysis
- high density
- type diabetes
- metabolic syndrome
- blood pressure
- molecular dynamics
- deep learning
- big data
- fatty acid
- study protocol
- human health
- artificial intelligence