The endoscopic predictors of H. pylori status: a meta-analysis of diagnostic performance.
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Published version
Author(s)
Glover, Benjamin
Teare, Julian
Patel, Nisha
Type
Journal Article
Abstract
Objective
The endoscopic findings associated with H. pylori naïve status, current infection or past infection is an area of ongoing interest. Previous studies have investigated parameters with potential diagnostic value. The aim of this study was to perform meta-analysis of the available literature to validate the diagnostic accuracy of mucosal features proposed in the Kyoto classification.
Data Sources
The databases of Medline and Embase, clinicaltrials.gov and the Cochrane library were systematically searched for relevant studies from October 1999 to October 2019.
Methods
A bivariate random effects model was used to produce pooled diagnostic accuracy calculations for each of the studied endoscopic findings. Diagnostic odds ratios and sensitivity and specificity characteristics were calculated to identify significant predictors of H. pylori status.
Results
Meta-analysis included 4,380 patients in 15 studies. The most significant predictor of an H. pylori naïve status was a regular arrangement of collecting venules (RAC). (DOR 55.0, Sensitivity 78.3%, Specificity 93.8%) Predictors of active H. pylori infection were mucosal oedema (18.1, 63.7%, 91.1%) and diffuse redness (14.4, 66.5%, 89.0%). Map-like redness had high specificity for previous H. pylori eradication (99.0%), but poor specificity (13.0%).
Conclusions
The RAC, mucosal oedema, diffuse redness and map-like redness are important endoscopic findings for determining H. pylori status. This meta-analysis provides a tentative basis for developing future endoscopic classification systems.
The endoscopic findings associated with H. pylori naïve status, current infection or past infection is an area of ongoing interest. Previous studies have investigated parameters with potential diagnostic value. The aim of this study was to perform meta-analysis of the available literature to validate the diagnostic accuracy of mucosal features proposed in the Kyoto classification.
Data Sources
The databases of Medline and Embase, clinicaltrials.gov and the Cochrane library were systematically searched for relevant studies from October 1999 to October 2019.
Methods
A bivariate random effects model was used to produce pooled diagnostic accuracy calculations for each of the studied endoscopic findings. Diagnostic odds ratios and sensitivity and specificity characteristics were calculated to identify significant predictors of H. pylori status.
Results
Meta-analysis included 4,380 patients in 15 studies. The most significant predictor of an H. pylori naïve status was a regular arrangement of collecting venules (RAC). (DOR 55.0, Sensitivity 78.3%, Specificity 93.8%) Predictors of active H. pylori infection were mucosal oedema (18.1, 63.7%, 91.1%) and diffuse redness (14.4, 66.5%, 89.0%). Map-like redness had high specificity for previous H. pylori eradication (99.0%), but poor specificity (13.0%).
Conclusions
The RAC, mucosal oedema, diffuse redness and map-like redness are important endoscopic findings for determining H. pylori status. This meta-analysis provides a tentative basis for developing future endoscopic classification systems.
Date Issued
2020-10-23
Date Acceptance
2020-07-08
Citation
Therapeutic Advances in Gastrointestinal Endoscopy, 2020, 13, pp.1-19
ISSN
1179-5522
Publisher
Sage
Start Page
1
End Page
19
Journal / Book Title
Therapeutic Advances in Gastrointestinal Endoscopy
Volume
13
Copyright Statement
© 2020 Owner. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
License URL
Identifier
https://journals.sagepub.com/doi/10.1177/2631774520950840
Publication Status
Published
Date Publish Online
2020-10-23