Diagnostic value of transcranial sonography on substantia nigra in Parkinson disease:a systematic review and Meta-analysis

Cheng Ying; Hu Xuechun; Qu Yangliu; Jia Ni

doi:10.13406/j.cnki.cyxb.002434

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Diagnostic value of transcranial sonography on substantia nigra in Parkinson disease:a systematic review and Meta-analysis

更新时间：2024-01-09

- Diagnostic value of transcranial sonography on substantia nigra in Parkinson disease:a systematic review and Meta-analysis
- Journal of Chongqing Medical University Vol. 46, Issue 5, Pages: 554-559(2021)
- 作者机构：
  
  陕西中医药大学附属医院脑病科,咸阳,712000
- 作者简介：
- 基金信息：
- DOI：10.13406/j.cnki.cyxb.002434
  CLC： R445.1;R742.5
- Published：2021，
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Cheng Ying, Hu Xuechun, Qu Yangliu, et al. Diagnostic value of transcranial sonography on substantia nigra in Parkinson disease:a systematic review and Meta-analysis. [J]. Journal of Chongqing Medical University 46(5):554-559(2021)
DOI：

Cheng Ying, Hu Xuechun, Qu Yangliu, et al. Diagnostic value of transcranial sonography on substantia nigra in Parkinson disease:a systematic review and Meta-analysis. [J]. Journal of Chongqing Medical University 46(5):554-559(2021) DOI： 10.13406/j.cnki.cyxb.002434.

摘要

目的：基于Meta分析方法，系统评价经颅黑质超声检查（transcranial sonography，TCS）对帕金森病（Parkinson disease，PD）的诊断价值。方法：计算机检索PubMed、Embase、Cochrane图书馆及中国期刊全文数据库（CNKI）、中国科技期刊全文数据库（VIP）、中国生物医学文献数据库（CBM）中公开发表的文献，收集近十年有关TCS诊断PD的中英文文献，检索时限自2010年1月至2019年11月。由2名评价员根据纳入与排除标准，独立筛选文献、评价文献质量并提取相关资料。采用Meta-DiSc1.4软件进行Meta分析，根据异质性结果选择相应效应模型，汇总效应量及其95%CI，绘制受试者工作特征（receiver operator characteristic，ROC）曲线，并计算曲线下面积（area under the curve，AUC）及Q指数。最后应用Stata 12.0软件绘制Deek's漏斗图评估发表偏倚。结果：共检索到相关文献753篇，严格按照纳入与排除标准筛选后，最终纳入28篇研究文献。Meta分析结果显示：TCS诊断PD的合并敏感度=0.82（95%CI=0.80~0.83）；合并特异度=0.90（95%CI=0.88~0.91）；合并诊断比值比=42.84（95%CI=28.37~64.68）；合并阳性似然比=7.46（95%CI=6.11~9.11）；合并阴性似然比=0.19（95%CI=0.15~0.25；SROC AUC为0.947 0；Q指数为0.886 5。结论：作为一种新型的神经疾病辅助检查方法，TCS在PD的诊断上展现出较高的诊断价值，且该技术兼具有无创、无辐射、经济、易操作等优点，故可将其作为PD早期筛查及辅助诊断工具推广应用。

Abstract

Objective: To assess the efficacy of transcranial sonography (TCS) on substantia nigra in Parkinson disease (PD) on the basis of Meta analysis. Methods: Studies about TCS from January 2010 to November 2019 in databases of PubMed

Embase

Cochrane library

CNKI

VIP and CBM were searched and collected. Two evaluators independently screened the literature

evaluated the quality of the literature and extracted relevant information according to inclusion and exclusion criteria. Meta-DiSc1.4 software was used to perform the Meta analysis

corresponding effect model was selected according to the heterogeneity results

effect size and 95% confidence interval (95%CI) were calculated

the receiver operator characteristic (ROC) curve was drawn

area under the curve (AUC) as well as Q value was calculated and Deek's funnel plot was drawn by adopting Stata 12.0 software to evaluate and publish bias. Results: A total of 753 literatures were retrieved and 28 literatures were finally included. Meta analysis results showed that the combined sensitivity of TCS in diagnosing PD was 0.82 (95%CI=0.80-0.83)

the combined specificity was 0.90 (95%CI=0.88-0.91)

the diagnostic odds ratio was 42.84 (95%CI=28.37-64.68)

the positive likelihood radio was 7.46 (95%CI=6.11-9.11)

the negative likelihood radio was 0.19 (95%CI=0.15-0.25)

and SROC AUC and Q index were 0.947 0 and 0.886 5

respectively. Conclusion: As a new auxiliary examination method for neurological diseases

TCS has a high diagnostic value in the diagnosis of PD

non-invasive

radiation-free

economical and easy to operate

which can be promoted in the clinical as an early screening and auxiliary diagnostic tool for PD.

关键词

帕金森病经颅黑质超声检查诊断Meta分析

Keywords

Parkinson diseasetranscranial sonographydiagnosisMeta-analysis

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Related Institution

Department of Radiology，The First Affiliated Hospital of Chongqing Medical University

Teaching and Research Section of Pathology，College of Basic Medical Sciences，Chongqing Medical University

Department of Traditional Chinese Medicine，Children’s Hospital，Zhejiang University School of Medicine/ National Clinical Research Center for Child Health

Department of Pediatrics，The Affiliated Hospital of Nanjing University of Chinese Medicine，The First Clinical Medical College of Nanjing University of Chinese Medicine

Department of Respiratory Medicine，Children’s Hospital，Zhejiang University School of Medicine/ National Clinical Research Center for Child Health

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