Xiao-Bei Si1, De-Ying Bi2, Yu Lan1, Shuo Zhang3, Lin-Yu Huo4. 1. Department of Gastroenterology, Beijing Jishuitan Hospital, Beijing, China;The Fourth Clinical College of Peking University, Beijing, China. 2. The Fourth Clinical College of Peking University, Beijing, China. 3. Department of Cardiology, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing, China. 4. Department of Neurology, Beijing Haidian Hospital, Beijing, China.
Abstract
OBJECTIVE: To evaluate the diagnostic efficacy of gastric juice-based genotypic methods for Helicobacter pylori detection and antibiotic resistance testing. METHODS: We used electronic databases including Medline, Embase, Web of Science and the Cochrane Central Register of Controlled Trial for literature survey using keywords such as "gastric juice", "Helicobacter pylori" and their synonyms. The quality of the studies was assessed using QUADAS-2. Summary performance measures (sensitivity, specificity, positive predictive values, negative predictive values, diagnostic odds ratio, and area under the summary receiver operating characteristic curve) and HSROC curves were produced. In addition, fagan plots were applied to illustrate the relationship among the prior test probability, PLR/NLR, and posterior test probability. RESULTS: Our study cohort comprised eight studies with 1235 participants (617 participants of H. pylori infection and 618 participants of non-H. pylori infection). Pooled sensitivity and specificity with a corresponding 95% confidence interval (CI) of gastric juice-based genotypic methods reflected values of 94% (95%CI, 86% - 98%) and 98% (95%CI, 85% - 100%), respectively. The global sensitivity and specificity of clarithromycin resistance were 92% (95%CI, 85% - 96%) and 90% (95%CI, 80% - 95%), respectively. CONCLUSION: Gastric juice-based genotypic methods can be used for diagnostic prediction of H. pylori infection as well as clarithromycin resistance testing.
OBJECTIVE: To evaluate the diagnostic efficacy of gastric juice-based genotypic methods for Helicobacter pylori detection and antibiotic resistance testing. METHODS: We used electronic databases including Medline, Embase, Web of Science and the Cochrane Central Register of Controlled Trial for literature survey using keywords such as "gastric juice", "Helicobacter pylori" and their synonyms. The quality of the studies was assessed using QUADAS-2. Summary performance measures (sensitivity, specificity, positive predictive values, negative predictive values, diagnostic odds ratio, and area under the summary receiver operating characteristic curve) and HSROC curves were produced. In addition, fagan plots were applied to illustrate the relationship among the prior test probability, PLR/NLR, and posterior test probability. RESULTS: Our study cohort comprised eight studies with 1235 participants (617 participants of H. pylori infection and 618 participants of non-H. pylori infection). Pooled sensitivity and specificity with a corresponding 95% confidence interval (CI) of gastric juice-based genotypic methods reflected values of 94% (95%CI, 86% - 98%) and 98% (95%CI, 85% - 100%), respectively. The global sensitivity and specificity of clarithromycin resistance were 92% (95%CI, 85% - 96%) and 90% (95%CI, 80% - 95%), respectively. CONCLUSION: Gastric juice-based genotypic methods can be used for diagnostic prediction of H. pylori infection as well as clarithromycin resistance testing.
Authors: P Malfertheiner; F Megraud; C A O'Morain; J P Gisbert; E J Kuipers; A T Axon; F Bazzoli; A Gasbarrini; J Atherton; D Y Graham; R Hunt; P Moayyedi; T Rokkas; M Rugge; M Selgrad; S Suerbaum; K Sugano; E M El-Omar Journal: Gut Date: 2016-10-05 Impact factor: 23.059
Authors: Daiva Dailidiene; M Teresita Bertoli; Jolanta Miciuleviciene; Asish K Mukhopadhyay; Giedrius Dailide; Mario Alberto Pascasio; Limas Kupcinskas; Douglas E Berg Journal: Antimicrob Agents Chemother Date: 2002-12 Impact factor: 5.191
Authors: Ju Yup Lee; Nayoung Kim; Min Soo Kim; Yoon Jin Choi; Jung Won Lee; Hyuk Yoon; Cheol Min Shin; Young Soo Park; Dong Ho Lee; Hyun Chae Jung Journal: Dig Dis Sci Date: 2014-03-06 Impact factor: 3.199
Authors: H Miwa; A Nagahara; A Kurosawa; T Ohkusa; R Ohkura; M Hojo; N Enomoto; N Sato Journal: Aliment Pharmacol Ther Date: 2003-06-15 Impact factor: 8.171