Gong RJ, Xu CX, Li H, Liu XM. Polymerase chain reaction-based tests for detecting Helicobacter pylori clarithromycin resistance in stool samples: A meta-analysis. World J Clin Cases 2021; 9(1): 133-147 [PMID: 33511178 DOI: 10.12998/wjcc.v9.i1.133]
Corresponding Author of This Article
Xiao-Ming Liu, MD, Chief Doctor, Department of Gastroenterology, The Third Xiangya Hospital of Central South University, No. 138 Tongzipo Street, Changsha 410013, Hunan Province, China. liuxiaoming26@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Meta-Analysis
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Jan 6, 2021; 9(1): 133-147 Published online Jan 6, 2021. doi: 10.12998/wjcc.v9.i1.133
Polymerase chain reaction-based tests for detecting Helicobacter pylori clarithromycin resistance in stool samples: A meta-analysis
Ren-Jie Gong, Can-Xia Xu, Huan Li, Xiao-Ming Liu
Ren-Jie Gong, Can-Xia Xu, Huan Li, Xiao-Ming Liu, Department of Gastroenterology, The Third Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China
Author contributions: Gong RJ conceived and designed the study, acquired, analyzed and interpreted the data, and drafted and revised the article; Xu CX acquired, analyzed, and interpreted the data and revised the article; Li H acquired, analyzed, and interpreted the data; Liu XM interpreted the data, critically revised the article, and approved the final version.
Supported by“New Xiangya Talent Projects” of The Third Xiangya Hospital of Central South University, No. JY201710.
Conflict-of-interest statement: The authors declare that they have no competing interests.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xiao-Ming Liu, MD, Chief Doctor, Department of Gastroenterology, The Third Xiangya Hospital of Central South University, No. 138 Tongzipo Street, Changsha 410013, Hunan Province, China. liuxiaoming26@163.com
Received: August 6, 2020 Peer-review started: August 6, 2020 First decision: November 3, 2020 Revised: November 7, 2020 Accepted: November 14, 2020 Article in press: November 14, 2020 Published online: January 6, 2021 Processing time: 147 Days and 21.7 Hours
ARTICLE HIGHLIGHTS
Research background
The eradication rate of Helicobacter pylori (H. pylori) is gradually decreasing due to antibiotic resistance worldwide, in particular clarithromycin resistance.
Research motivation
The detection of clarithromycin resistance is necessary prior to the treatment of H. pylori, accurate data on the feasibility of stool polymerase chain reaction (PCR)-based tests are not available.
Research objectives
We performed a meta-analysis to assess the feasibility of PCR-based tests for detecting H. pylori clarithromycin resistance in stool samples.
Research methods
We collected cross-sectional studies that met the inclusion criteria. This is the first meta-analysis based on true-positive, false-positive, false-negative, and true-negative test results.
Research results
A meta-analysis of the random-effect model showed that PCR-based analysis of stool samples had high diagnostic accuracy for detecting clarithromycin resistance in patients infected with H. pylori.
Research conclusions
PCR-based tests on stool samples have high diagnostic accuracy for detecting H. pylori clarithromycin resistance.
Research perspectives
This non-invasive, convenient, and inexpensive method can increase the eradication rate of H. pylori, especially in areas with high clarithromycin resistance.
