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Epidemiology of Helicobacter pylori infection

Leja, Mārcis, Axon, Anthony, Brenner, Hermann·2016·Helicobacter

Abstract

This review of recent publications related to the epidemiology of Helicobacter pylori highlights the origin of the infection, its changing prevalence, transmission, and outcome. A number of studies have addressed the ancestor roots of the bacteria, and the first genomewide analysis of bacterial strains suggests that its coexistence with humans is more ancient than previously thought. As opposed to the generally declining prevalence of H. pylori (including China and Japan), in Sweden, the prevalence of atrophic gastritis in the young population has risen. The prevalence of the infection remains high in the indigenous populations of the Arctic regions, and reinfection rates are high. A high prevalence is permanently found in the Siberian regions of Russia as well. Several studies, some of which used multiplex serology, addressed prevalence of and risks associated with various H. pylori serotypes, thereby enabling more precise risk assessment. Transmission of H. pylori was discussed, specifically fecal–oral transmission and the use of well‐water and other unpurified water. Finally, the long‐term course of H. pylori infection was considered, with an estimated 89% of noncardia gastric cancer cases being attributable to the infection.

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Metadata

Authors
Leja, M., Axon, A., & Brenner, H.
Venue
Helicobacter
Publisher
Wiley
Published
2016-08-16
Volume
21
Issue
S1
Pages
3-7
ISSN
  • 1083-4389 (ISSN-L)
  • 1523-5378
OpenAlex
W2011487497
Cited by
880
References
0
FWCI
89.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Epidemiology of Helicobacter pylori infection. https://app.cochat.ai/papers/10.1111/hel.12332
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Leja, M., Axon, A., & Brenner, H. (2016). Epidemiology of Helicobacter pylori infection. Helicobacter. https://doi.org/10.1111/hel.12332

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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.