The First Affiliated Hospital of Nanchang University, NO.17, Yong Wai Zheng Jie, 330006 Nanchang, Jiangxi, China.
MacLehose Medical Rehabilitation Center, Hong Kong Special Administrative Region of China.
Physiotherapy. 2023 Sep;120:17-25. doi: 10.1016/j.physio.2023.06.001. Epub 2023 Jun 7.
The upper limb neurodynamic test for median nerve (ULNT1) is commonly applied for assessment of cervical radiculopathy (CR). However, the diagnostic accuracy of ULNT1 in diagnosing CR remains unclear.
This study aimed to examine the diagnostic accuracy of the ULNT1 for the CR.
Four databases were searched for relevant studies published up to April 30, 2023.
Cross-sectional or cohort studies that assessed the diagnostic accuracy of ULNT1 for CR were included.
The methodological quality of studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) checklist. A bivariate random-effects regression model was used for the data synthesis. The overall quality of evidence was evaluated using the GRADE approach.
A total of 592 references were identified, and five studies with 465 patients met the inclusion criteria. The overall quality of the body of evidence was very low across studies. Heterogeneity of studies was high. The pooled sensitivity and specificity of the ULNT1 were 0.69 (95% CI 0.50-0.83) and 0.54 (95% CI 0.36-0.71), respectively. The summary receiver operating characteristic curve area was 0.65 (95% CI 0.61-0.69).
There is low certainty of evidence that the ULNT1 has only fair accuracy in diagnosing CR. The ULNT1 was recommended as an add-on test after the existing diagnostic pathway to enhance diagnostic accuracy further. High-quality studies which follow the Standards for Reporting of Diagnostic Accuracy and the QUADAS-2; a revised tool for the quality assessment of diagnostic accuracy, are needed.
PROSPERO: CRD42021255686 CONTRIBUTION OF THE PAPER.
正中神经上肢神经动力学测试(ULNT1)常用于评估颈神经根病(CR)。然而,ULNT1 诊断 CR 的准确性尚不清楚。
本研究旨在评估 ULNT1 诊断 CR 的准确性。
检索了截至 2023 年 4 月 30 日发表的相关研究的四个数据库。
纳入评估 ULNT1 诊断 CR 准确性的横断面或队列研究。
使用诊断准确性研究质量评估 2 版(QUADAS-2)清单评估研究的方法学质量。使用双变量随机效应回归模型进行数据综合。使用 GRADE 方法评估证据的总体质量。
共确定了 592 条参考文献,符合纳入标准的五项研究共纳入了 465 例患者。研究的整体证据质量非常低。研究之间存在高度异质性。ULNT1 的总体敏感性和特异性分别为 0.69(95%置信区间 0.50-0.83)和 0.54(95%置信区间 0.36-0.71)。汇总受试者工作特征曲线面积为 0.65(95%置信区间 0.61-0.69)。
证据质量低,表明 ULNT1 诊断 CR 的准确性仅为中等。建议在现有诊断途径的基础上,将 ULNT1 作为附加检查来进一步提高诊断准确性。需要进行高质量的研究,这些研究应遵循诊断准确性报告标准和 QUADAS-2;这是一种用于诊断准确性质量评估的修订工具。
PROSPERO:CRD42021255686