Diagnostic value of neutrophil gelatinase-associated lipocalin in diabetic nephropathy: a meta-analysis

中性粒细胞明胶酶相关脂质运载蛋白在糖尿病肾病诊断中的价值:一项荟萃分析

阅读:1

Abstract

Purpose: This meta-analysis aimed to determine the diagnostic performance of neutrophil gelatinase-associated lipocalin (NGAL) in diabetic nephropathy (DN). Methods: We searched the PubMed, Embase, Wanfang, and China National Knowledge Infrastructure databases for articles published up to 24 April 2019. The meta-analyses were conducted by Stata 11.0, and diagnostic accuracy, sensitivity, specificity, negative and positive likelihood ratios (NLR and PLR), diagnostic odds ratio (DOR), and receiver operating characteristic (ROC) curve data were pooled. Moreover, heterogeneity and small trials bias were evaluated. Results: Six cross-sectional studies were included in the meta-analysis. For the studies of microalbuminuria versus normoalbuminuria, the estimates (95% confidence interval) were as follows: sensitivity, 0.75 (0.51-0.89); specificity, 0.78 (0.70-0.84); PLR, 3.37 (2.49-4.56); NLR, 0.33 (0.16-0.69); DOR, 10.31 (4.05-26.25); and area under the ROC curve (AUC), 0.81 (0.77-0.84). For the studies of microalbuminuria + macroalbuminuria versus normoalbuminuria, the results were as follows: sensitivity, 0.83 (0.66-0.93); specificity, 0.88 (0.67-0.97); PLR, 7.20 (1.97-26.31); NLR, 0.19 (0.08-0.46); DOR, 37.83 (4.84-295.65); AUC, 0.92 (0.90-0.94). Deeks' funnel plot suggested that small trials bias was insignificant in this study. Conclusions: Our findings suggest that NGAL is a potential diagnostic marker for patients with DN and that its diagnostic value for microalbuminuria + macroalbuminuria is superior to that for microalbuminuria. Highlights The first meta-analysis to investigate NGAL diagnostic role in DN. NGAL is valuable for the early diagnosis of DN. The diagnostic value of NGAL in microalbuminuria + macroalbuminuria was much higher.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。