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Cited by 984

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Peptic ulcer disease

Lanas, Angel, Chan, Francis K L·2017·The Lancet

Abstract

The rapidly declining prevalence of Helicobacter pylori infection and widespread use of potent anti-secretory drugs means peptic ulcer disease has become substantially less prevalent than it was two decades ago. Management has, however, become more challenging than ever because of the threat of increasing antimicrobial resistance worldwide and widespread use of complex anti-thrombotic therapy in the ageing population. Peptic ulcers not associated with H pylori infection or the use of non-steroidal anti-inflammatory drugs are now also imposing substantial diagnostic and therapeutic challenges. This Seminar aims to provide a balanced overview of the latest advances in the pathogenetic mechanisms of peptic ulcers, guidelines on therapies targeting H pylori infection, approaches to treatment of peptic ulcer complications associated with anti-inflammatory analgesics and anti-thrombotic agents, and the unmet needs in terms of our knowledge and management of this increasingly challenging condition.

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Registry

Crossref · 10.1016/s0140-6736(16)32404-7

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Metadata

Authors
Lanas, A., & Chan, F. K. L.
Venue
The Lancet
Publisher
Elsevier BV
Published
2017-08
Volume
390
Issue
10094
Pages
613-624
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W4211029205
Cited by
984
References
1
FWCI
51.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Peptic ulcer disease. https://app.cochat.ai/papers/10.1016/s0140-6736(16)32404-7
The paper
Lanas, A., & Chan, F. K. L. (2017). Peptic ulcer disease. The Lancet. https://doi.org/10.1016/s0140-6736(16)32404-7

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.