Meta-analysis of miRNA in discriminating active tuberculosis and latent tuberculosis
10.3969/j.issn.1673-4130.2024.04.023
- VernacularTitle:miRNA区分活动性结核和潜伏性结核的Meta分析
- Author:
Xiaoying LI
1
;
Jiangming XIAO
;
Pu LIAO
Author Information
1. 西南医科大学附属医院检验科,四川泸州 646000
- Keywords:
active tuberculosis;
latent tuberculosis;
microRNA;
Meta-analysis
- From:
International Journal of Laboratory Medicine
2024;45(4):500-504
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the Meta-analysis of microRNA(miRNA)in distinguishing active tu-berculosis and latent tuberculosis.Methods CNKI,Wanfang Data,VIP,PubMed,Cochrane Library,Web of Science and Embase databases were searched to select the literature on miRNA in discriminating active tuber-culosis and latent tuberculosis from the establishment of the database to April 2023,and screened strictly ac-cording to the inclusion and exclusion criteria.The quality of included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2,and data extraction and summary analysis were carried out with Stata16.0 software.Heterogeneity among studies was evaluated by calculating I2,and the sources of heteroge-neity were further explored by Meta-regression and subgroup analysis.Publication bias was assessed using Deeks funnel plot.Results The Meta-analysis encompassed 9 articles,comprising 13 studies.The combined sensitivity of miRNA in differentiating active tuberculosis and latent tuberculosis was found to be 0.79(95％CI:0.69-0.86,I2=86.24％),with a specificity of 0.73(95％CI:0.64-0.81,I2=81.80％).The positive likelihood ratio was 2.96(95％CI:2.22-3.95,12=63.84％),while the negative likelihood ratio was 0.29(95％CI:0.20-0.41,I2=84.04％).Furthermore,the diagnostic odds ratio was 10.33(95％CI:6.43-16.61,I2=99.90％),and the area under the receiver operating characteristic curve was 0.83(95％CI:0.79-0.86).The results of Meta-regression and subgroup analysis showed that sample size may be the source of sensitivity heterogeneity,and dysregulation of miRNA may be the source of specificity heterogeneity.Deeks funnel plot showed no publication bias among included studies.Conclusion miRNA shows good diagnostic a-bility in distinguishing active tuberculosis and latent tuberculosis,which has important significance for impro-ving the development of diagnostic strategies for tuberculosis management.
