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Hotspots and trends of risk factors in gastric cancer: A visualization and bibliometric analysis.

作者信息

Li Meng, Gao Ning, Wang Shao-Li, Guo Yu-Feng, Liu Zhen

机构信息

Department of Gastroenterology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.

Department of Acupuncture and Moxibustion, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.

出版信息

World J Gastrointest Oncol. 2024 May 15;16(5):2200-2218. doi: 10.4251/wjgo.v16.i5.2200.


DOI:10.4251/wjgo.v16.i5.2200
PMID:38764808
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11099465/
Abstract

BACKGROUND: The lack of specific symptoms of gastric cancer (GC) causes great challenges in its early diagnosis. Thus it is essential to identify the risk factors for early diagnosis and treatment of GC and to improve the survival rates. AIM: To assist physicians in identifying changes in the output of publications and research hotspots related to risk factors for GC, constructing a list of key risk factors, and providing a reference for early identification of patients at high risk for GC. METHODS: Research articles on risk factors for GC were searched in the Web of Science core collection, and relevant information was extracted after screening. The literature was analyzed using Microsoft Excel 2019, CiteSpace V, and VOSviewer 1.6.18. RESULTS: A total of 2514 papers from 72 countries and 2507 research institutions were retrieved. China ( = 1061), National Cancer Center ( = 138), and Shoichiro Tsugane ( = 36) were the most productive country, institution, or author, respectively. The research hotspots in the study of risk factors for GC are summarized in four areas, namely: () infection, single nucleotide polymorphism, bio-diagnostic markers, and GC risk prediction models. CONCLUSION: In this study, we found that infection is the most significant risk factor for GC; single-nucleotide polymorphism (SNP) is the most dominant genetic factor for GC; bio-diagnostic markers are the most promising diagnostic modality for GC. GC risk prediction models are the latest current research hotspot. We conclude that the most important risk factors for the development of GC infection, SNP, smoking, diet, and alcohol.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c862/11099465/92eb9e5f2f29/WJGO-16-2200-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c862/11099465/27c3bf6adc5c/WJGO-16-2200-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c862/11099465/92eb9e5f2f29/WJGO-16-2200-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c862/11099465/27c3bf6adc5c/WJGO-16-2200-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c862/11099465/92eb9e5f2f29/WJGO-16-2200-g003.jpg

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引用本文的文献

[1]
Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer.

Front Oncol. 2025-7-24

[2]
Prevalence and risk factors of infection in Xinjiang Uygur Autonomous Region: A cross-sectional study of all age groups.

World J Gastroenterol. 2025-6-7

[3]
Biomarkers used in the diagnosis and prognosis of gastric cancer in young patients: a scientometric analysis.

Front Med (Lausanne). 2025-4-9

本文引用的文献

[1]
Development, validation, and evaluation of a risk assessment tool for personalized screening of gastric cancer in Chinese populations.

BMC Med. 2023-4-27

[2]
Cost-Effectiveness Analysis of Hp and New Gastric Cancer Screening Scoring System for Screening and Prevention of Gastric Cancer.

Curr Oncol. 2023-1-13

[3]
Real-World Practice of Gastric Cancer Prevention and Screening Calls for Practical Prediction Models.

Clin Transl Gastroenterol. 2023-2-1

[4]
Sex Disparity in Patients with Gastric Cancer: A Systematic Review and Meta-Analysis.

J Oncol. 2022-11-2

[5]
The genetic polymorphisms in the gene and the risk of gastric cancer.

Future Oncol. 2022-11

[6]
Global Trends in Research of Treatment on Bladder Cancer with Chinese Medicine Monomer from 2000 to 2021: A Bibliometric Analysis.

J Oncol. 2022-9-19

[7]
A Bibliometric and Visual Analysis of Exercise Intervention Publications for Alzheimer's Disease (1998-2021).

J Clin Med. 2022-10-6

[8]
A Bibliometric Analysis of Platelet-Rich Fibrin in Dentistry.

Int J Environ Res Public Health. 2022-10-1

[9]
Mapping the global research landscape on insulin resistance: Visualization and bibliometric analysis.

World J Diabetes. 2022-9-15

[10]
Frontiers and hotspots of F-FDG PET/CT radiomics: A bibliometric analysis of the published literature.

Front Oncol. 2022-9-13

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