Cargando…
Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis
Tuberculin skin test and interferon-gamma release assay are not good at differentiating active tuberculosis from latent tuberculosis. Interferon-gamma-induced protein 10 (IP-10) has been widely used to detect tuberculosis infection. However, its values of discriminating active and latent tuberculosi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684649/ https://www.ncbi.nlm.nih.gov/pubmed/31388072 http://dx.doi.org/10.1038/s41598-019-47923-w |
_version_ | 1783442289200201728 |
---|---|
author | Qiu, Xia Tang, Ying Zou, Rong Zeng, Yan Yue, Yan Li, Wenxing Qu, Yi Mu, Dezhi |
author_facet | Qiu, Xia Tang, Ying Zou, Rong Zeng, Yan Yue, Yan Li, Wenxing Qu, Yi Mu, Dezhi |
author_sort | Qiu, Xia |
collection | PubMed |
description | Tuberculin skin test and interferon-gamma release assay are not good at differentiating active tuberculosis from latent tuberculosis. Interferon-gamma-induced protein 10 (IP-10) has been widely used to detect tuberculosis infection. However, its values of discriminating active and latent tuberculosis is unknown. To estimate the diagnostic potential of IP-10 for differentiating active tuberculosis from latent tuberculosis, we searched PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang, VIP and CBM databases. Eleven studies, accounting for 706 participants (853 samples), were included. We used a bivariate diagnostic random-effects model to conduct the primary data. The overall pooled sensitivity, specificity, negative likelihood rate, positive likelihood rate, diagnostic odds ratio and area under the summary receiver operating characteristic curve were 0.72 (95% CI: 0.68–0.76), 0.83 (95% CI: 0.79–0.87), 0.32 (95% CI: 0.22–0.46), 4.63 (95% CI: 2.79–7.69), 17.86 (95% CI: 2.89–38.49) and 0.8638, respectively. This study shows that IP-10 is a potential biomarker for differentiating active tuberculosis from latent tuberculosis. |
format | Online Article Text |
id | pubmed-6684649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66846492019-08-11 Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis Qiu, Xia Tang, Ying Zou, Rong Zeng, Yan Yue, Yan Li, Wenxing Qu, Yi Mu, Dezhi Sci Rep Article Tuberculin skin test and interferon-gamma release assay are not good at differentiating active tuberculosis from latent tuberculosis. Interferon-gamma-induced protein 10 (IP-10) has been widely used to detect tuberculosis infection. However, its values of discriminating active and latent tuberculosis is unknown. To estimate the diagnostic potential of IP-10 for differentiating active tuberculosis from latent tuberculosis, we searched PubMed, Web of Science, Embase, the Cochrane Library, CNKI, Wanfang, VIP and CBM databases. Eleven studies, accounting for 706 participants (853 samples), were included. We used a bivariate diagnostic random-effects model to conduct the primary data. The overall pooled sensitivity, specificity, negative likelihood rate, positive likelihood rate, diagnostic odds ratio and area under the summary receiver operating characteristic curve were 0.72 (95% CI: 0.68–0.76), 0.83 (95% CI: 0.79–0.87), 0.32 (95% CI: 0.22–0.46), 4.63 (95% CI: 2.79–7.69), 17.86 (95% CI: 2.89–38.49) and 0.8638, respectively. This study shows that IP-10 is a potential biomarker for differentiating active tuberculosis from latent tuberculosis. Nature Publishing Group UK 2019-08-06 /pmc/articles/PMC6684649/ /pubmed/31388072 http://dx.doi.org/10.1038/s41598-019-47923-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Qiu, Xia Tang, Ying Zou, Rong Zeng, Yan Yue, Yan Li, Wenxing Qu, Yi Mu, Dezhi Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title | Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title_full | Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title_fullStr | Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title_full_unstemmed | Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title_short | Diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: A meta-analysis |
title_sort | diagnostic accuracy of interferon-gamma-induced protein 10 for differentiating active tuberculosis from latent tuberculosis: a meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6684649/ https://www.ncbi.nlm.nih.gov/pubmed/31388072 http://dx.doi.org/10.1038/s41598-019-47923-w |
work_keys_str_mv | AT qiuxia diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT tangying diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT zourong diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT zengyan diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT yueyan diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT liwenxing diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT quyi diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis AT mudezhi diagnosticaccuracyofinterferongammainducedprotein10fordifferentiatingactivetuberculosisfromlatenttuberculosisametaanalysis |