Assessing the Diagnostic Performance of New Commercial Interferon-γ Release Assays for Mycobacterium tuberculosis Infection: A Systematic Review and Meta-Analysis

Author:

Ortiz-Brizuela Edgar12ORCID,Apriani Lika34,Mukherjee Tania5,Lachapelle-Chisholm Sophie1,Miedy Michele6,Lan Zhiyi1,Korobitsyn Alexei7,Ismail Nazir7,Menzies Dick18

Affiliation:

1. McGill International Tuberculosis Centre, Department of Medicine, McGill University , Montreal, Quebec , Canada

2. Department of Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán , Mexico City , Mexico

3. Tuberculosis Working Group, Research Centre for Care and Control of Infectious Diseases, Universitas Padjadjaran , Bandung , Indonesia

4. Department of Public Health, Faculty of Medicine, Universitas Padjadjaran , Bandung , Indonesia

5. Faculty of Medicine and Health, University of Sydney , Sydney, New South Wales , Australia

6. McGill University Health Center, Department of Intensive Care Unit, McGill University , Montreal, Quebec , Canada

7. Global Tuberculosis Programme, World Health Organization , Geneva , Switzerland

8. Respiratory Epidemiology and Clinical Research Unit, Research Institute of the McGill University Health Centre, Montreal Chest Institute, McGill University , Montreal, Quebec , Canada

Abstract

Abstract Background We compared 6 new interferon-γ release assays (IGRAs; hereafter index tests: QFT-Plus, QFT-Plus CLIA, QIAreach, Wantai TB-IGRA, Standard E TB-Feron, and T-SPOT.TB/T-Cell Select) with World Health Organization (WHO)–endorsed tests for tuberculosis infection (hereafter reference tests). Methods Data sources (1 January 2007–18 August 2021) were Medline, Embase, Web of Science, Cochrane Database of Systematic Reviews, and manufacturers’ data. Cross-sectional and cohort studies comparing the diagnostic performance of index and reference tests were selected. The primary outcomes of interest were the pooled differences in sensitivity and specificity between index and reference tests. The certainty of evidence (CoE) was summarized using the GRADE approach. Results Eighty-seven studies were included (44 evaluated the QFT-Plus, 4 QFT-Plus CLIA, 3 QIAreach, 26 TB-IGRA, 10 TB-Feron [1 assessing the QFT-Plus], and 1 T-SPOT.TB/T-Cell Select). Compared to the QFT-GIT, QFT Plus’s sensitivity was 0.1 percentage points lower (95% confidence interval [CI], −2.8 to 2.6; CoE: moderate), and its specificity 0.9 percentage points lower (95% CI, −1.0 to −.9; CoE: moderate). Compared to QFT-GIT, TB-IGRA's sensitivity was 3.0 percentage points higher (95% CI, −.2 to 6.2; CoE: very low), and its specificity 2.6 percentage points lower (95% CI, −4.2 to −1.0; CoE: low). Agreement between the QFT-Plus CLIA and QIAreach with QFT-Plus was excellent (pooled κ statistics of 0.86 [95% CI, .78 to .94; CoE: low]; and 0.96 [95% CI, .92 to 1.00; CoE: low], respectively). The pooled κ statistic comparing the TB-Feron and the QFT-Plus or QFT-GIT was 0.85 (95% CI, .79 to .92; CoE: low). Conclusions The QFT-Plus and the TB-IGRA have very similar sensitivity and specificity as WHO-approved IGRAs.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference109 articles.

1. Effectiveness of interventions for reducing TB incidence in countries with low TB incidence: a systematic review of reviews;Collin;Eur Res Rev,2019

2. Chapter 4: diagnosis of tuberculosis infection.;Campbell;Can J Respir Crit Care Sleep Med,2022

3. Meta-analysis: new tests for the diagnosis of latent tuberculosis infection: areas of uncertainty and recommendations for research;Menzies;Ann Intern Med,2007

4. Systematic review: T-cell-based assays for the diagnosis of latent tuberculosis infection: an update;Pai;Ann Intern Med,2008

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3