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Updated: Jul 18, 2025

Gastric Mucosa Quantitative Polymerase Chain Reaction Analysis for Detecting Helicobacter pylori and Antibiotic Resistance
Published on: March 7, 2025
Global Trend on Machine Learning in Helicobacter within One Decade: A Scientometric Study.
Omid Eslami1,2, Mohsen Nakhaie1, Mohammad Rezaei Zadeh Rukerd1
1Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, Kerman University of Medical Sciences, Kerman, Iran.
This study analyzed 17,413 publications on Helicobacter pylori (H. pylori) from 2010-2021. Research trends show a decrease in publications, with gastric cancer and infection being key topics.
Area of Science:
- Bibliometrics and scientometrics
- Infectious diseases
- Gastroenterology
Background:
- Helicobacter pylori (H. pylori) is a significant pathogen.
- Understanding research trends is crucial for advancing H. pylori-related studies.
Purpose of the Study:
- To create a science map of H. pylori research.
- To analyze the structural evolution and identify emerging trends in H. pylori literature.
Main Methods:
- Bibliometric analysis of 17,413 H. pylori publications from Web of Science (2010-2021).
- Utilized Bibliometrix R Tool and Biblioshiny R-package for data analysis.
Main Results:
- A declining trend in H. pylori publications since 2010.
- Top journals include Gut, PLOS ONE, and Gastroenterology. China, USA, and Japan lead in research output.
- Key themes include gastric cancer, H. pylori infection, gastritis, eradication, and inflammation. "H. pylori" and "infection" show upward trends.
Conclusions:
- H. pylori research has seen a decrease in publication volume but remains a focus, particularly concerning gastric cancer and infection.
- Thematic analysis reveals shifts in research focus over time, highlighting persistent and evolving areas of interest.
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