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Cited by 725

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Helicobacter pylori Detection and Antimicrobial Susceptibility Testing

Open access
Mégraud, Francis, Lehours, Philippe·2007·Clinical Microbiology Reviews

Abstract

SUMMARY: The discovery of Helicobacter pylori in 1982 was the starting point of a revolution concerning the concepts and management of gastroduodenal diseases. It is now well accepted that the most common stomach disease, peptic ulcer disease, is an infectious disease, and all consensus conferences agree that the causative agent,H. pylori, must be treated with antibiotics. Furthermore, the concept emerged that this bacterium could be the trigger of various malignant diseases of the stomach, and it is now a model for chronic bacterial infections causing cancer. Most of the many different techniques involved in diagnosis of H. pylori infection are performed in clinical microbiology laboratories. The aim of this article is to review the current status of these methods and their application, highlighting the important progress which has been made in the past decade. Both invasive and noninvasive techniques will be reviewed.

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Crossref · 10.1128/cmr.00033-06

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Metadata

Authors
Mégraud, F., & Lehours, P.
Venue
Clinical Microbiology Reviews
Published
2007-04
Volume
20
Issue
2
Pages
280-322
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2157650397
Cited by
725
References
4
FWCI
34.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Helicobacter pylori Detection and Antimicrobial Susceptibility Testing. https://app.cochat.ai/papers/10.1128/cmr.00033-06
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Mégraud, F., & Lehours, P. (2007). Helicobacter pylori Detection and Antimicrobial Susceptibility Testing. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00033-06

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.