Ayubi Erfan, Doosti-Irani Amin, Mostafavi Ehsan
Department of Epidemiology, Pasteur Institute of Iran, Tehran, Iran.
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Epidemiol Health. 2015 Oct 3;37:e2015043. doi: 10.4178/epih/e2015043. eCollection 2015.
The QuantiFERON-TB Gold in-tube test (QFT-GIT) and the tuberculin skin test (TST) are used to diagnose latent tuberculosis infection (LTBI). However, conclusive evidence regarding the agreement of these two tests among high risk contacts is lacking. This systematic review and meta-analysis aimed to estimate the agreement between the TST and the QFT-GIT using kappa statistics.
According to the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines, scientific databases including PubMed, Scopus, and Ovid were searched using a targeted search strategy to identify relevant studies published as of June 2015. Two researchers reviewed the eligibility of studies and extracted data from them. The pooled kappa estimate was determined using a random effect model. Subgroup analysis, Egger's test and sensitivity analysis were also performed.
A total of 6,744 articles were retrieved in the initial search, of which 24 studies had data suitable for meta-analysis. The pooled kappa coefficient and prevalence-adjusted bias-adjusted kappa were 0.40 (95% confidence interval [CI], 0.34 to 0.45) and 0.45 (95% CI, 0.38 to 0.49), respectively. The results of the subgroup analysis found that age group, quality of the study, location, and the TST cutoff point affected heterogeneity for the kappa estimate. No publication bias was found (Begg's test, p=0.53; Egger's test, p=0.32).
The agreement between the QFT-GIT and the TST in diagnosing LTBI among high-risk contacts was found to range from fair to moderate.
全血γ-干扰素释放试验(QFT-GIT)和结核菌素皮肤试验(TST)用于诊断潜伏性结核感染(LTBI)。然而,缺乏关于这两种检测方法在高危接触者中一致性的确凿证据。本系统评价和荟萃分析旨在使用kappa统计量估计TST和QFT-GIT之间的一致性。
根据系统评价和荟萃分析的首选报告项目指南,采用靶向搜索策略检索包括PubMed、Scopus和Ovid在内的科学数据库,以识别截至2015年6月发表的相关研究。两名研究人员审查了研究的纳入资格并从中提取数据。使用随机效应模型确定合并的kappa估计值。还进行了亚组分析、Egger检验和敏感性分析。
在初始搜索中总共检索到6744篇文章,其中24项研究有适合进行荟萃分析的数据。合并的kappa系数和患病率调整偏倚调整kappa分别为0.40(95%置信区间[CI],0.34至0.45)和0.45(95%CI,0.38至0.49)。亚组分析结果发现,年龄组、研究质量、地点和TST临界值影响kappa估计的异质性。未发现发表偏倚(Begg检验,p=0.53;Egger检验,p=0.32)。
发现QFT-GIT和TST在诊断高危接触者LTBI方面的一致性为中等至尚可。