A meta-analysis of the accuracy of Xpert MTB/RIF in diagnosing intestinal tuberculosis
© The Author(s) 2023. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..
OBJECTIVE: A detection method with high efficiency and accuracy is urgently needed in clinical work. The purpose of our study was to determine the diagnostic accuracy of the Xpert MTB/RIF assay for intestinal tuberculosis (ITB).
METHODS: We searched PubMed and 4 other databases from their establishment to July 19, 2022, for published essays of diagnostic performance in which Xpert MTB/RIF was used to test patients with clinically suspected ITB. An assessment of the quality of the selected literature was conducted using QUADAS-2. We built forest plots by MetaDiSc software.
RESULTS: The pooled Xpert MTB/RIF sensitivity was 48%, and the specificity was 99%. Moreover, the positive likelihood ratio for ITB diagnosis was 21.61. The negative likelihood ratio was 0.54. There were substantial variations between the study estimates of sensitivity (I2 = 87.6%) and specificity (I2 = 82.4%).
CONCLUSION: Intestinal TB is detected with limited diagnostic sensitivity by Xpert MTB/RIF but with high specificity. An Xpert-positive result may facilitate the rapid identification of ITB cases. Nevertheless, a negative result has less certainty in excluding the disease.
| Errataetall: | |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:55 |
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| Enthalten in: |
Laboratory medicine - 55(2024), 2 vom: 07. März, Seite 238-244 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ding, Yuan-Lin [VerfasserIn] |
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| Links: |
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| Themen: |
Antibiotics, Antitubercular |
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| Anmerkungen: |
Date Completed 11.03.2024 Date Revised 11.03.2024 published: Print ErratumIn: Lab Med. 2023 Nov 2;54(6):659. - PMID 37703357 Citation Status MEDLINE |
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| doi: |
10.1093/labmed/lmad072 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM360310427 |
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| 500 | |a Date Revised 11.03.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a ErratumIn: Lab Med. 2023 Nov 2;54(6):659. - PMID 37703357 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © The Author(s) 2023. Published by Oxford University Press on behalf of American Society for Clinical Pathology. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com. | ||
| 520 | |a OBJECTIVE: A detection method with high efficiency and accuracy is urgently needed in clinical work. The purpose of our study was to determine the diagnostic accuracy of the Xpert MTB/RIF assay for intestinal tuberculosis (ITB) | ||
| 520 | |a METHODS: We searched PubMed and 4 other databases from their establishment to July 19, 2022, for published essays of diagnostic performance in which Xpert MTB/RIF was used to test patients with clinically suspected ITB. An assessment of the quality of the selected literature was conducted using QUADAS-2. We built forest plots by MetaDiSc software | ||
| 520 | |a RESULTS: The pooled Xpert MTB/RIF sensitivity was 48%, and the specificity was 99%. Moreover, the positive likelihood ratio for ITB diagnosis was 21.61. The negative likelihood ratio was 0.54. There were substantial variations between the study estimates of sensitivity (I2 = 87.6%) and specificity (I2 = 82.4%) | ||
| 520 | |a CONCLUSION: Intestinal TB is detected with limited diagnostic sensitivity by Xpert MTB/RIF but with high specificity. An Xpert-positive result may facilitate the rapid identification of ITB cases. Nevertheless, a negative result has less certainty in excluding the disease | ||
| 650 | 4 | |a Meta-Analysis | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Mycobacterium tuberculosis | |
| 650 | 4 | |a Xpert MTB/RIF | |
| 650 | 4 | |a diagnostic | |
| 650 | 4 | |a intestinal tuberculosis | |
| 650 | 4 | |a meta-analysis | |
| 650 | 4 | |a tuberculosis | |
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| 650 | 7 | |a Antibiotics, Antitubercular |2 NLM | |
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| 700 | 1 | |a Chen, Hao-Kai |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Xu-Guang |e verfasserin |4 aut | |
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