Cargando…

Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis

BACKGROUNDS: Pulmonary tuberculosis (PTB) is a major health and economic burden. Accurate PTB detection is an important step to eliminating TB globally. Interferon gamma-induced protein 10 (IP-10) has been reported as a potential diagnostic marker for PTB since 2007. In this study, a meta-analysis a...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiu, Xia, Xiong, Tao, Su, Xiaojuan, Qu, Yi, Ge, Long, Yue, Yan, Zeng, Yan, Li, Wenxing, Hu, Peng, Mu, Dezhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822474/
https://www.ncbi.nlm.nih.gov/pubmed/31666025
http://dx.doi.org/10.1186/s12879-019-4466-5
_version_ 1783464345076760576
author Qiu, Xia
Xiong, Tao
Su, Xiaojuan
Qu, Yi
Ge, Long
Yue, Yan
Zeng, Yan
Li, Wenxing
Hu, Peng
Mu, Dezhi
author_facet Qiu, Xia
Xiong, Tao
Su, Xiaojuan
Qu, Yi
Ge, Long
Yue, Yan
Zeng, Yan
Li, Wenxing
Hu, Peng
Mu, Dezhi
author_sort Qiu, Xia
collection PubMed
description BACKGROUNDS: Pulmonary tuberculosis (PTB) is a major health and economic burden. Accurate PTB detection is an important step to eliminating TB globally. Interferon gamma-induced protein 10 (IP-10) has been reported as a potential diagnostic marker for PTB since 2007. In this study, a meta-analysis approach was used to assess diagnostic value of IP-10 for PTB. METHODS: Web of Science, PubMed, the Cochrane Library, and Embase databases were searched for studies published in English up to February 2019. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), the area under the curve (AUC) and hierarchical summary receiver operating characteristic (HSROC) curve were estimated by the HSROC model and random effect model. RESULTS: Eighteen studies including 2836 total participants met our inclusion criteria. The pooled sensitivity, specificity, PLR, and NLR of IP-10 for PTB detection were 86, 88%, 7.00, and 0.16, respectively. The pooled DOR was 43.01, indicating a very powerful discriminatory ability of IP-10. The AUC was 0.93 (95% CI: 0.91–0.95), showed the accuracy of IP-10 was good. Meta-regression showed that there was no heterogeneity with respect to TB burden, study design type, age, IP-10 assay method, IP-10 condition and HIV-infection status. CONCLUSIONS: Our results showed that IP-10 is a promising marker for differentiating PTB from non-TB.
format Online
Article
Text
id pubmed-6822474
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68224742019-11-06 Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis Qiu, Xia Xiong, Tao Su, Xiaojuan Qu, Yi Ge, Long Yue, Yan Zeng, Yan Li, Wenxing Hu, Peng Mu, Dezhi BMC Infect Dis Research Article BACKGROUNDS: Pulmonary tuberculosis (PTB) is a major health and economic burden. Accurate PTB detection is an important step to eliminating TB globally. Interferon gamma-induced protein 10 (IP-10) has been reported as a potential diagnostic marker for PTB since 2007. In this study, a meta-analysis approach was used to assess diagnostic value of IP-10 for PTB. METHODS: Web of Science, PubMed, the Cochrane Library, and Embase databases were searched for studies published in English up to February 2019. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), the area under the curve (AUC) and hierarchical summary receiver operating characteristic (HSROC) curve were estimated by the HSROC model and random effect model. RESULTS: Eighteen studies including 2836 total participants met our inclusion criteria. The pooled sensitivity, specificity, PLR, and NLR of IP-10 for PTB detection were 86, 88%, 7.00, and 0.16, respectively. The pooled DOR was 43.01, indicating a very powerful discriminatory ability of IP-10. The AUC was 0.93 (95% CI: 0.91–0.95), showed the accuracy of IP-10 was good. Meta-regression showed that there was no heterogeneity with respect to TB burden, study design type, age, IP-10 assay method, IP-10 condition and HIV-infection status. CONCLUSIONS: Our results showed that IP-10 is a promising marker for differentiating PTB from non-TB. BioMed Central 2019-10-30 /pmc/articles/PMC6822474/ /pubmed/31666025 http://dx.doi.org/10.1186/s12879-019-4466-5 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Qiu, Xia
Xiong, Tao
Su, Xiaojuan
Qu, Yi
Ge, Long
Yue, Yan
Zeng, Yan
Li, Wenxing
Hu, Peng
Mu, Dezhi
Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title_full Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title_fullStr Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title_full_unstemmed Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title_short Accumulate evidence for IP-10 in diagnosing pulmonary tuberculosis
title_sort accumulate evidence for ip-10 in diagnosing pulmonary tuberculosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822474/
https://www.ncbi.nlm.nih.gov/pubmed/31666025
http://dx.doi.org/10.1186/s12879-019-4466-5
work_keys_str_mv AT qiuxia accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT xiongtao accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT suxiaojuan accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT quyi accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT gelong accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT yueyan accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT zengyan accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT liwenxing accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT hupeng accumulateevidenceforip10indiagnosingpulmonarytuberculosis
AT mudezhi accumulateevidenceforip10indiagnosingpulmonarytuberculosis