IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0001536.html
   My bibliography  Save this article

Commercial Nucleic-Acid Amplification Tests for Diagnosis of Pulmonary Tuberculosis in Respiratory Specimens: Meta-Analysis and Meta-Regression

Author

Listed:
  • Daphne I Ling
  • Laura L Flores
  • Lee W Riley
  • Madhukar Pai

Abstract

Background: Hundreds of studies have evaluated the diagnostic accuracy of nucleic-acid amplification tests (NAATs) for tuberculosis (TB). Commercial tests have been shown to give more consistent results than in-house assays. Previous meta-analyses have found high specificity but low and highly variable estimates of sensitivity. However, reasons for variability in study results have not been adequately explored. We performed a meta-analysis on the accuracy of commercial NAATs to diagnose pulmonary TB and meta-regression to identify factors that are associated with higher accuracy. Methodology/Principal Findings: We identified 2948 citations from searching the literature. We found 402 articles that met our eligibility criteria. In the final analysis, 125 separate studies from 105 articles that reported NAAT results from respiratory specimens were included. The pooled sensitivity was 0.85 (range 0.36–1.00) and the pooled specificity was 0.97 (range 0.54–1.00). However, both measures were significantly heterogeneous (p

Suggested Citation

  • Daphne I Ling & Laura L Flores & Lee W Riley & Madhukar Pai, 2008. "Commercial Nucleic-Acid Amplification Tests for Diagnosis of Pulmonary Tuberculosis in Respiratory Specimens: Meta-Analysis and Meta-Regression," PLOS ONE, Public Library of Science, vol. 3(2), pages 1-11, February.
    • Handle: RePEc:plo:pone00:0001536
    DOI: 10.1371/journal.pone.0001536
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0001536
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0001536&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0001536?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Benjamin Littenberg & Lincoln E. Moses, 1993. "Estimating Diagnostic Accuracy from Multiple Conflicting Reports," Medical Decision Making, , vol. 13(4), pages 313-321, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anna H van’t Hoog & Frank Cobelens & Anna Vassall & Sanne van Kampen & Susan E Dorman & David Alland & Jerrold Ellner, 2013. "Optimal Triage Test Characteristics to Improve the Cost-Effectiveness of the Xpert MTB/RIF Assay for TB Diagnosis: A Decision Analysis," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-11, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James C. Felli & Gordon B. Hazen, 2004. "Javelin Diagrams: A Graphical Tool for Probabilistic Sensitivity Analysis," Decision Analysis, INFORMS, vol. 1(2), pages 93-107, June.
    2. Jia Song & Jixiang Zhang & Jun Wang & Xufeng Guo & Jing Wang & Ya Liu & Weiguo Dong, 2014. "Meta-Analysis: Narrow Band Imaging for Diagnosis of Gastric Intestinal Metaplasia," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    3. Philipp Doebler & Heinz Holling, 2015. "Meta-analysis of Diagnostic Accuracy and ROC Curves with Covariate Adjusted Semiparametric Mixtures," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1084-1104, December.
    4. Guang Cheng & Sarah Yini Gao & Yancheng Yuan & Chenxiao Zhang & Zhichao Zheng, 2022. "On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore," Interfaces, INFORMS, vol. 52(6), pages 524-538, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0001536. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.