IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0094869.html
   My bibliography  Save this article

Meta-Analysis: Narrow Band Imaging for Diagnosis of Gastric Intestinal Metaplasia

Author

Listed:
  • Jia Song
  • Jixiang Zhang
  • Jun Wang
  • Xufeng Guo
  • Jing Wang
  • Ya Liu
  • Weiguo Dong

Abstract

Background: Distinguishing early gastric cancer is challenging with current imaging techniques. Narrow band imaging (NBI) is effective for characterizing gastric lesions. Objectives: The aim of this meta-analysis was to estimate the diagnostic accuracy of NBI in the gastric intestinal metaplasia (GIM). Methods: We performed data analysis using Meta-DiSc (version 1.4) and STATA (version 11.0) software. To assess study quality and potential for bias, we used the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Results: Six studies involving 347 patients were included. On a per-patient basis, the sensitivity of NBI for diagnosis of GIM was 0.65 (95% CI = 0.56–0.74), and the specificity was 0.93 (95% CI = 0.88–0.97). The area under the summary receiver operating characteristic (SROC) curve was 0.8731. However, on a per-lesion basis, the sensitivity and specificity of NBI were 0.69 (95% CI = 0.63–0.74) and 0.91 (95% CI = 0.87–0.94), respectively. The SROC was 0.9009. The pooled sensitivity and specificity of magnification endoscopy (NBI-ME) were 0.76 (95% CI = 0.61–0.87) and 0.89 (95% CI = 0.80–0.94), respectively, on per-patient analysis. On a per-lesion basis, the pooled sensitivity and specificity of NBI-ME were 0.84 (95% CI = 0.76–0.89) and 0.93 (95% CI = 0.89–0.96), respectively. Heterogeneity was observed with an I2 for diagnostic odds ratio (DOR) of 0.01% and 85.8%, respectively. There was no statistical significance for the evaluation of publication bias. Conclusions: Our meta-analysis shows that NBI is a useful tool for differential diagnosis of GIM with relatively low sensitivity and high specificity.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0094869
    DOI: 10.1371/journal.pone.0094869
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0094869
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0094869&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0094869?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. Martin Hellmich & Keith R. Abrams & David R. Jones & Paul C. Lambert, 1998. "A Bayesian Approach to a General Regression Model for ROC Curves," Medical Decision Making, , vol. 18(4), pages 436-443, October.
    2. 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)

    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. 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.
    3. Tian, Guo-Liang & Tang, Man-Lai & Yuen, Kam Chuen & Ng, Kai Wang, 2010. "Further properties and new applications of the nested Dirichlet distribution," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 394-405, February.
    4. Martin Hellmich & Keith R. Abrams & Alex J. Sutton, 1999. "Bayesian Approaches to Meta-analysi of ROC Curves," Medical Decision Making, , vol. 19(3), pages 252-264, August.
    5. 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.
    6. 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:pone00:0094869. 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.