10.6084/M9.FIGSHARE.14518028
Lin Zhao
Lin
Zhao
Shu Li
Shu
Li
Ying Gao
Ying
Gao
Efficacy of statins on renal function in patients with chronic kidney disease: a systematic review and meta-analysis
<p>Studies have shown that the use of statins could significantly improve lipid profiles; however, it remains controversial whether the use of statins could improve renal function in patients with chronic kidney disease (CKD). Therefore, we conducted a meta-analysis of randomized controlled trials (RCTs) to evaluate the effects of statins on renal function in patients with CKD.</p> <p>We systematically searched PubMed, EMBASE, and the Cochrane Library databases for eligible RCTs from inception to October 2020. Pooled effect estimates were assigned as weighted mean differences (WMDs) with 95% confidence intervals (CIs) using the random-effects model.</p> <p>We selected 33 RCTs that recruited 37,391 patients with CKD patients. The summary results suggested that statin use significantly reduced urinary albumin (WMD: −2.04; 95%CI: −3.53 to −0.56; <i>p</i> = .007) and protein (WMD: −0.58; 95%CI: −0.95 to −0.21; <i>p</i> = .002) excretions and increased creatinine clearance (WMD: 0.86; 95%CI: 0.32–1.41; <i>p</i> = .002). However, there were no significant differences between statin and control groups in terms of changes in estimated glomerular filtration rate (WMD: 0.38; 95%CI: −0.04 to 0.79; <i>p</i> = .075), and serum creatinine levels (WMD: −0.07; 95%CI: −0.25, 0.12; <i>p</i> = .475).</p> <p>We found that statin use in patients with CKD may slow CKD progression by lowering urinary albumin and protein excretions or increasing creatinine clearance. Further large-scale RCTs should be conducted to evaluate the long-term effects of statins on renal outcomes. <b>Abbreviations:</b> CKD: chronic kidney disease; RCT: randomized controlled trials; WMD: weighted mean differences; CI: confidence intervals; ACEI: angiotensin-converting enzyme inhibitors; eGFR: estimated glomerular filtration rate</p>
Medicine
Cell Biology
Marine Biology
Cancer
Science Policy
Infectious Diseases
Taylor & Francis
2021
2021-04-30
2023-06-02
Dataset
1642215 Bytes
10.1080/0886022X.2021.1915799
CC BY 4.0