Ultrasonographic measurement of cross-sectional area of the vagus nerve in patients with diabetic neuropathy: a systematic review and meta-analysis

糖尿病神经病变患者迷走神经横截面积的超声测量:系统评价和荟萃分析

阅读:1

Abstract

INTRODUCTION: Diabetic neuropathy, a prevalent complication of diabetes mellitus (DM), often involves autonomic dysfunction, with the vagus nerve (VN) being an early target. High-resolution ultrasonography has emerged as a noninvasive tool to assess structural nerve changes, including cross-sectional area (CSA), as a potential biomarker for early diagnosis. This systematic review and meta-analysis, the first to synthesize evidence on VN CSA in diabetic neuropathy, evaluated its diagnostic utility and confounding factors. METHODS: Following PRISMA guidelines, a comprehensive search of PubMed, Scopus, Embase, and Web of Science yielded six studies encompassing 604 participants (347 diabetic patients and 257 controls). RESULTS: Pooled CSA showed no significant differences between diabetic neuropathy patients and controls for left VN (MD: -0.02 mm(2), 95% CI: -0.80-0.75, P = 0.95) or right VN (MD: -0.39 mm(2), 95% CI: -1.09-0.31, P = 0.28). However, excluding an outlier study revealed a significant right VN CSA increase in DM patients (MD: 0.26 mm(2), P < 0.01). Subgroup analyses indicated significant CSA differences in patients with BMI <27 kg/m(2), age >50 years, and DM duration <9 years. Substantial heterogeneity (I(2) > 95%) across studies underscores variability in ultrasound protocols and patient demographics. DISCUSSION: While VN CSA alone may not suffice as a standalone diagnostic biomarker, its role in specific subgroups and combined with functional assessments warrants exploration. Standardized imaging protocols and longitudinal studies are needed to clarify its clinical utility and pathophysiological implications in diabetic autonomic neuropathy.

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。