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评价 Xpert CT/NG 检测淋病奈瑟菌和沙眼衣原体的诊断效能。

Evaluation of the Diagnostic Efficacy of Xpert CT/NG for and .

机构信息

Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou 511436, China.

Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.

出版信息

Biomed Res Int. 2020 Oct 8;2020:2892734. doi: 10.1155/2020/2892734. eCollection 2020.

Abstract

BACKGROUND

(CT) and (NG) are widely spread across the world. Asymptomatic or inconspicuous CT/NG infections are difficult to diagnose and treat. Traditional methods have the disadvantages of low detection rate, inaccurate results, and long detection time. However, Xpert CT/NG makes up for the aforementioned shortcomings and has research value and popularization significance.

METHODS

PubMed, Embase, Cochrane Library, and Web of Science were systematically searched, and studies were screened using Xpert CT/NG for diagnosing CT/NG. QUADAS-2 was used to evaluate the quality of the eligible studies. Then, two groups of researchers independently extracted data from these studies. Meta-analyses of sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve were conducted using Meta-DiSc 1.4. Finally, Deek's funnel plots were made using Stata 12.0 to evaluate publication bias.

RESULTS

14 studies were identified, and 46 fourfold tables were extracted in this meta-analysis. The pooled SEN, SPE, PLR, NLR, DOR, and AUC in diagnosing CT were 0.94 (95% confidence interval (CI): 0.93-0.95), 0.99 (95% CI: 0.99-1.00), 97.17 (95% CI: 56.76-166.32), 0.07 (95% CI: 0.04-0.12), 1857.25 (95% CI: 943.78-3654.86), and 0.9960, respectively. The pooled SEN, SPE, PLR, NLR, DOR, and AUC in diagnosing NG were 0.95 (95% CI: 0.93-0.96), 1.00 (95% CI: 1.00-1.00), 278.15 (95% CI: 152.41-507.63), 0.08 (95% CI: 0.06-0.12), 4290.70 (95% CI: 2161.78-8516.16), and 0.9980, respectively.

CONCLUSIONS

Xpert CT/NG had high diagnostic sensitivity and specificity for CT and NG. However, more evidence is required to confirm that Xpert CT/NG might serve as the primary method for detecting CT and NG and even the gold standard for diagnosis in the future.

摘要

背景

(CT)和(NG)在世界范围内广泛传播。无症状或不明显的 CT/NG 感染难以诊断和治疗。传统方法存在检测率低、结果不准确和检测时间长等缺点。然而,Xpert CT/NG 弥补了上述缺点,具有研究价值和推广意义。

方法

系统检索 PubMed、Embase、Cochrane 图书馆和 Web of Science 中的文献,使用 Xpert CT/NG 对 CT/NG 进行诊断的研究进行筛选。使用 QUADAS-2 对合格研究的质量进行评估。然后,两组研究人员分别从这些研究中提取数据。使用 Meta-DiSc 1.4 对汇总受试者工作特征(SROC)曲线的灵敏度(SEN)、特异性(SPE)、阳性似然比(PLR)、阴性似然比(NLR)、诊断比值比(DOR)和曲线下面积(AUC)进行 Meta 分析。最后,使用 Stata 12.0 制作 Deek 的漏斗图以评估发表偏倚。

结果

确定了 14 项研究,共提取了 46 个四格表进行荟萃分析。诊断 CT 的汇总 SEN、SPE、PLR、NLR、DOR 和 AUC 分别为 0.94(95%置信区间(CI):0.93-0.95)、0.99(95% CI:0.99-1.00)、97.17(95% CI:56.76-166.32)、0.07(95% CI:0.04-0.12)、1857.25(95% CI:943.78-3654.86)和 0.9960。诊断 NG 的汇总 SEN、SPE、PLR、NLR、DOR 和 AUC 分别为 0.95(95% CI:0.93-0.96)、1.00(95% CI:1.00-1.00)、278.15(95% CI:152.41-507.63)、0.08(95% CI:0.06-0.12)、4290.70(95% CI:2161.78-8516.16)和 0.9980。

结论

Xpert CT/NG 对 CT 和 NG 具有较高的诊断灵敏度和特异性。然而,需要更多的证据来证实 Xpert CT/NG 可能成为未来检测 CT 和 NG 的主要方法,甚至成为诊断的金标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/819d/7576347/2f1c6b80e7cb/BMRI2020-2892734.001.jpg

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