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The diagnostic performance of musculoskeletal ultrasound in gout: A systematic review and meta-analysis

机译:肌肉骨骼超声在痛风中的诊断性能:系统评价和荟萃分析

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摘要

BACKGROUND:Musculoskeletal ultrasound is widely used in diagnosing gout, but its accuracy is debatable. We conducted a systematic review and meta-analysis to quantitatively evaluate the value of ultrasound in the diagnosis of gout. METHODS:We systematically searched for publications using Cochrane Library, PubMed/Medline and Embase and manually screened the references of eligible articles for additional relevant publications. Studies were included in this systematic review if they assessed the diagnostic accuracy of ultrasound in gout compared to that of the gold standard, demonstration of monosodium urate crystals in joint fluid or tophi. We then conducted quantitative analyses by extracting data from each study and calculating the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR). The summary receiver operating characteristic curves (sROCs) were constructed to obtain the Q*-index and the area under the curve (AUC). RESULTS:Thirteen studies were included in this meta-analysis. The diagnostic performances of three distinctive ultrasonographic features of gout, double contour sign (DCS), the presence of tophi and the snowstorm sign, were evaluated. For person-based evaluations, the pooled sensitivity, specificity, DOR, AUC and Q* were as follows: for the DCS, 66% (95% confidence interval (CI) 62%-69%), 92% (95% CI 90%-94%), 25.91 (95% CI 11.80-56.89), 0.8163 and 0.7503, respectively; for the presence of tophi, 56% (95% CI 52%-60%), 94% (95% CI 92%-96%), 21.11 (95% CI 7.84-56.89), 0.8928 and 0.8236, respectively; for the snowstorm sign, 31% (95% CI 27%-36%), 91% (95% CI 88%-93%), 4.54(95% CI 3.13-6.58), 0.5946 and 0.5712, respectively; and for simultaneous consideration of these ultrasonographic features, 80% (95% CI 76%-83%), 83% (95% CI 79%-86%), 19.03 (95% CI 13.97-25.93), 0.889 and 0.8197, respectively. For the joint-/location-based evaluations, the pooled sensitivity, specificity, DOR, AUC and Q* were as follows: for the DCS, 75% (95% CI 68%-80%), 65% (95% CI 59%-70%), 16.90 (95% CI 5.10-56.03), 0.871 and 0.8014, respectively; and for the presence of tophi, 48% (95% CI 40%-57%), 96% (95% CI 91%-99%), 30.20 (95% CI 9.23-98.87), 0.8776 and 0.8081, respectively. CONCLUSIONS:In this meta-analysis, relatively high specificity but modest or low sensitivity were demonstrated in the diagnosis of gout using each of the three ultrasonographic features for person-based evaluations. Simultaneous consideration of these ultrasound findings may improve the diagnostic sensitivity. However, the double contour sign alone is weak in the differentiation of gout and non-gout for joint-/location-based evaluations. Further well-designed studies are still needed to support the current findings.
机译:背景:肌肉骨骼超声广泛应用于诊断痛风,但其准确性是值得商榷的。我们进行了系统回顾和荟萃分析痛风的诊断定量评价超声的价值。方法:我们系统检索使用Cochrane图书馆,考研/ Medline和文摘刊物和手动筛选更多的相关出版物入选文章的引用。研究被列入此系统的审查,如果他们评估了痛风超声诊断的准确性相比于黄金标准的,在关节液或痛风石尿酸钠结晶的示范。然后,我们通过从每个研究中提取数据并计算汇集的灵敏度,特异性,阳性似然比(PLR)进行定量分析,阴性似然比(NLR)和诊断比值比(DOR)。操作特性曲线(sROCs)摘要接收机构建以获得曲线(AUC)下的Q * -index和地区。结果:13个研究被列入此meta分析。的痛风的三个显着特征超声诊断性能,双轮廓号(DCS),痛风石和暴风雪符号的存在,进行了评价。对于基于个人的评价,汇集敏感性,特异性,DOR,AUC和Q *分别如下:用于DCS,66%(95%置信区间(CI)62%-69%),92%(95%CI 90 %-94%),25.91(95%CI 11.80-56.89),0.8163和0.7503,分别;为痛风石的存在下,56%(95%CI 52%-60%),94%(95%CI 92%-96%),21.11(95%CI 7.84-56.89),0.8928和0.8236,分别;分别用于暴风雪符号,31%(95%CI 27%-36%),91%(95%CI 88%-93%),4.54(95%CI 3.13-6.58),0.5946和0.5712;和用于这些超声特征同时考虑,分别为80%(95%CI 76%-83%),83%(95%CI 79%-86%),19.03(95%CI 13.97-25.93),0.889和0.8197, 。对于朝向关节/基于位置的评价,汇集敏感性,特异性,DOR,AUC和Q *分别如下:用于DCS,75%(95%CI 68%-80%),65%(95%CI 59 %-70%),16.90(95%CI 5.10-56.03),0.871和0.8014,分别;和痛风石的存在下,48%(95%CI 40%-57%),96%(95%CI 91%-99%),30.20(95%CI 9.23-98.87),0.8776和0.8081,分别。结论:在本荟萃分析,相对较高的特异性,但适度的或低敏感性的痛风的使用每个用于基于个人的评价三个超声特征诊断证实。这些超声结果的同时考虑可以提高诊断的敏感性。然而,仅在双轮廓标志是痛风和非痛风的分化为朝向关节/基于位置的评估弱。仍需要进一步精心设计的研究,以支持目前的调查结果。

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