Mistry Jai, Heneghan Nicola R, Noblet Tim, Falla Deborah, Rushton Alison
St Georges Hospital NHS Foundation Trust, London, UK.
Centre of Precision Rehabilitation for Spinal Pain, School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK.
BMC Musculoskelet Disord. 2020 Aug 10;21(1):532. doi: 10.1186/s12891-020-03436-6.
Low back-related leg pain (LBLP) is a challenge for healthcare providers to manage. Neuropathic pain (NP) is highly prevalent in presentations of LBLP and an accurate diagnosis of NP in LBLP is essential to ensure appropriate intervention. In the absence of a gold standard, the objective of this systematic review was to evaluate the diagnostic utility of patient history, clinical examination and screening tool data for identifying NP in LBLP.
This systematic review is reported in line with PRISMA and followed a pre-defined and published protocol. CINAHL, EMBASE, MEDLINE, Web of Science, Cochrane Library, AMED, Pedro and PubMed databases, key journals and the grey literature were searched from inception to 31 July 2019. Eligible studies included any study design reporting primary diagnostic data on the diagnostic utility of patient history, clinical examination or screening tool data to identify NP in LBLP, in an adult population. Two independent reviewers searched information sources, assessed risk of bias (QUADAS-2) and used GRADE to assess overall quality of evidence.
From 762 studies, 11 studies were included. Nine studies out of the 11 were at risk of bias. Moderate level evidence supports a cluster of eight signs (age, duration of disease, paroxysmal pain, pain worse in leg than back, typical dermatomal distribution, worse on coughing/sneezing/straining, finger to floor distance and paresis) for diagnosing lumbosacral nerve root compression, demonstrating moderate/high sensitivity (72%) and specificity (80%) values. Moderate level evidence supports the use of the StEP tool for diagnosing lumbar radicular pain, demonstrating high sensitivity (92%) and specificity (97%) values.
Overall low-moderate level evidence supports the diagnostic utility of patient history, clinical examination and screening tool data to identify NP in LBLP. The weak evidence base is largely due to methodological flaws and indirectness regarding applicability of the included studies. The most promising diagnostic tools include a cluster of 8 patient history/clinical examination signs and the StEP tool. Low risk of bias and high level of evidence diagnostic utility studies are needed, in order for stronger recommendations to be made.
下背部相关腿痛(LBLP)是医疗服务提供者面临的一项管理挑战。神经性疼痛(NP)在LBLP患者中非常普遍,准确诊断LBLP中的NP对于确保适当干预至关重要。在缺乏金标准的情况下,本系统评价的目的是评估患者病史、临床检查和筛查工具数据对识别LBLP中NP的诊断效用。
本系统评价按照PRISMA报告,并遵循预先定义和发表的方案。从创刊至2019年7月31日,检索了CINAHL、EMBASE、MEDLINE、Web of Science、Cochrane图书馆、AMED、Pedro和PubMed数据库、主要期刊以及灰色文献。符合条件的研究包括任何报告关于患者病史、临床检查或筛查工具数据对识别成人LBLP中NP的诊断效用的主要诊断数据的研究设计。两名独立的评审员检索信息来源,评估偏倚风险(QUADAS-2)并使用GRADE评估证据的总体质量。
从762项研究中,纳入了11项研究。11项研究中有9项存在偏倚风险。中等水平的证据支持一组8个体征(年龄、病程、阵发性疼痛、腿部疼痛比背部更严重、典型的皮节分布、咳嗽/打喷嚏/用力时加重、手指到地面距离和轻瘫)用于诊断腰骶神经根受压,显示出中等/高敏感性(72%)和特异性(80%)值。中等水平的证据支持使用StEP工具诊断腰椎神经根性疼痛,显示出高敏感性(92%)和特异性(97%)值。
总体而言,低到中等水平的证据支持患者病史、临床检查和筛查工具数据对识别LBLP中NP的诊断效用。证据基础薄弱主要是由于方法学缺陷以及纳入研究适用性的间接性。最有前景的诊断工具包括一组8个患者病史/临床检查体征和StEP工具。需要低偏倚风险和高证据水平的诊断效用研究,以便做出更强有力的推荐。