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Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection
This data contains information from 3727 patients and shows the performance of two IGRAs tests (T-SPOT.TB and IGRA-ELISA) used in China for screening and diagnostic Mycobacterium tuberculosis infection. The positive results were divided into four groups according with the test values, and the propor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288457/ https://www.ncbi.nlm.nih.gov/pubmed/30560159 http://dx.doi.org/10.1016/j.dib.2018.08.112 |
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author | Wang, Linchuan Tian, Xu-dong Yu, Yan Chen, Wei |
author_facet | Wang, Linchuan Tian, Xu-dong Yu, Yan Chen, Wei |
author_sort | Wang, Linchuan |
collection | PubMed |
description | This data contains information from 3727 patients and shows the performance of two IGRAs tests (T-SPOT.TB and IGRA-ELISA) used in China for screening and diagnostic Mycobacterium tuberculosis infection. The positive results were divided into four groups according with the test values, and the proportions of positives in each group were compared. The positive predictive values (PPVs) at different cutoffs for diagnostic active TB and value change trend for the two IGRAs tests were analyzed. |
format | Online Article Text |
id | pubmed-6288457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-62884572018-12-17 Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection Wang, Linchuan Tian, Xu-dong Yu, Yan Chen, Wei Data Brief Physics and Astronomy This data contains information from 3727 patients and shows the performance of two IGRAs tests (T-SPOT.TB and IGRA-ELISA) used in China for screening and diagnostic Mycobacterium tuberculosis infection. The positive results were divided into four groups according with the test values, and the proportions of positives in each group were compared. The positive predictive values (PPVs) at different cutoffs for diagnostic active TB and value change trend for the two IGRAs tests were analyzed. Elsevier 2018-08-31 /pmc/articles/PMC6288457/ /pubmed/30560159 http://dx.doi.org/10.1016/j.dib.2018.08.112 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Physics and Astronomy Wang, Linchuan Tian, Xu-dong Yu, Yan Chen, Wei Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title | Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title_full | Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title_fullStr | Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title_full_unstemmed | Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title_short | Evaluation of the performance of two tuberculosis interferon gamma release assays (IGRA-ELISA and T-SPOT.TB) for diagnosing Mycobacterium tuberculosis infection |
title_sort | evaluation of the performance of two tuberculosis interferon gamma release assays (igra-elisa and t-spot.tb) for diagnosing mycobacterium tuberculosis infection |
topic | Physics and Astronomy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288457/ https://www.ncbi.nlm.nih.gov/pubmed/30560159 http://dx.doi.org/10.1016/j.dib.2018.08.112 |
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