Suppr超能文献

基于抗原的皮肤试验(TBSTs)与结核菌素皮肤试验(TST)和γ-干扰素释放试验(IGRA)相比用于结核病感染诊断的准确性:一项网状Meta分析

Diagnostic Accuracy of Antigen-Based Skin Tests (TBSTs) for Tuberculosis Infection Compared with TST and IGRA: A Network Meta-Analysis.

作者信息

Peng Li, Ma Weijie, Zhong Lei, Yang Jiaru, Wu Hanxin, Zhu Liangyu, Huang Xun, Yang Rui, Li Bingxue, Ma Weijiang, Wu Xinya, Song Jieqin, Luo Suyi, Bao Fukai, Liu Aihua

机构信息

Yunnan Province Key Laboratory of Children's Major Diseases Research, School of Basic Medical Sciences, Kunming Medical University, Kunming 650500, China.

Research Center, Baoshan People's Hospital, Baoshan 678000, China.

出版信息

Pathogens. 2024 Nov 29;13(12):1050. doi: 10.3390/pathogens13121050.

Abstract

The aim of this study was to evaluate the diagnostic accuracy of the IGRA, TST, and TBST by combining diagnostic test accuracy (DTA) analysis and network meta-analysis (NMA) to increase the reliability and accuracy of diagnostic methods and promote the eradication of TB. An electronic search of the PubMed, Embase, and Cochrane databases was conducted, from the date of establishment to September 30, 2024. Data were synthesized with frequentist random-effects network meta-analyses, a single-group rate meta-analysis algorithm, and a bivariate mixed-effects logistic regression model. Summarized receiver operating characteristic curves and Fagan nomograms were used to assess diagnostic accuracy and clinical utility. Deeks' funnel plots and the Quality Assessment of Diagnostic Accuracy Studies 2 tools were used to assess publication bias and risk of bias. Sources of heterogeneity were investigated using subgroup analyses. Forty-nine studies were identified. The diagnostic performance of the three diagnostic methods for TB infection is summarized as follows: the pooled sensitivity was 77.9% (95% confidence interval [CI], 0.69-0.856), and the pooled specificity was 80.3% (95% CI, 0.75-0.86). The sensitivity and specificity of the IGRA were 82.1% (95% CI, 0.78-0.86) and 81.1% (95% CI, 0.75-0.86), respectively, both higher than the TST. However, the TBST exhibited the highest specificity, at 98.5% (95% CI, 0.96-1.00), with a sensitivity of 78.7% (95% CI, 0.68-0.88), which was between that of the IGRA and TST. Subgroup analysis found that population categories and reference standards, among other factors, may be attributed to heterogeneity. In addition, the TST and IGRA add-on TBST can significantly improve diagnostic accuracy. In our study, the IGRA showed higher sensitivity, whereas the TBST showed higher specificity. Interestingly, under certain conditions, TST add-on TBST and IGRA add-on TBST showed better accuracy than TST and IGRA alone and could provide more effective guidance for clinical practice (PROSPERO CRD42023420136).

摘要

本研究旨在通过结合诊断试验准确性(DTA)分析和网络荟萃分析(NMA)来评估IGRA、TST和TBST的诊断准确性,以提高诊断方法的可靠性和准确性,促进结核病的根除。对PubMed、Embase和Cochrane数据库进行了电子检索,检索时间从建库至2024年9月30日。采用频率学派随机效应网络荟萃分析、单组率荟萃分析算法和双变量混合效应逻辑回归模型对数据进行综合分析。使用汇总的受试者工作特征曲线和费根诺模图来评估诊断准确性和临床实用性。采用Deeks漏斗图和诊断准确性研究质量评估2工具来评估发表偏倚和偏倚风险。通过亚组分析研究异质性来源。共纳入49项研究。三种结核病感染诊断方法的诊断性能总结如下:合并敏感度为77.9%(95%置信区间[CI],0.69 - 0.856),合并特异度为80.3%(95%CI,0.75 - 0.86)。IGRA的敏感度和特异度分别为82.1%(95%CI,0.78 - 0.86)和81.1%(95%CI,0.75 - 0.86),均高于TST。然而,TBST的特异度最高,为98.5%(95%CI,0.96 - 1.00),敏感度为78.7%(95%CI,0.68 - 0.88),介于IGRA和TST之间。亚组分析发现,人群类别和参考标准等因素可能是异质性的原因。此外,TST和IGRA联合TBST可显著提高诊断准确性。在我们的研究中,IGRA显示出较高的敏感度,而TBST显示出较高的特异度。有趣的是,在某些条件下,TST联合TBST和IGRA联合TBST显示出比单独使用TST和IGRA更好的准确性,可为临床实践提供更有效的指导(PROSPERO CRD42023420136)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ae2/11728611/d29c19cc6a80/pathogens-13-01050-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验