Correlation between selenium and chronic kidney disease: a meta-analysis / 预防医学

ABSTRACT

Objective@#To systematically evaluate the correlation between selenium in the body and the risk of chronic kidney disease (CKD), so as to provide insights into CKD prevention and control.@*Methods@#Publications pertaining to the correlation between selenium level and CKD were retrieved from electronic databases, including CNKI, WanFang Data, PubMed and Web of Science from inception until July 28, 2022. Meta-analysis was performed using the software Stata 16.0, and all measures were expressed with standardized mean difference (SMD) and its 95%CI. The source of heterogeneity was analyzed using subgroup analysis and meta-regression, and sensitivity analysis was performed using the leave-one-out method. In addition, the publication bias was evaluated with d funnel plot, Egger's test and Begg's test, and the robustness of the result was evaluated using the trim and filling method.@*Results@#A total of 2 990 publications were screened, and 63 eligible publications were included in the final analysis, including 18 cross-sectional studies, 40 case-control studies, 2 cohort studies and 3 randomized controlled trials (RCTs), which covered 5 099 CKD patients and 6 334 controls. Meta-analysis showed lower selenium levels in CKD patients than in controls (SMD=-1.828, 95%CI -2.132 to -1.523, P<0.001). Subgroup analysis showed lower selenium levels among CKD patients than among controls from Asia, Europe and multiple continents (P<0.05), and lower selenium levels were detected in patients undergoing conservative treatment, hemodialysis and peritoneal dialysis than in controls (P<0.05), while the selenium levels were significantly lower in CKD patients than in controls in cross-sectional studies, case-control studies and RCTs (P<0.05). The selenium level was significantly lower among CKD patients than among controls regardless of the study year, sample size and score for quality of publications (P<0.05). Sensitivity analysis showed robustness of this meta-analysis. Publication bias was identified by funnel plot, Begg's test and Egger's test, and the robustness of the result was found using the trim-and-fill method. @*Conclusion @#There may be a possible correlation between selenium and the risk of CKD.