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Primary care research on hypertension: A bibliometric analysis using machine-learning.

作者信息

Yasli Gökben, Damar Muhammet, Özbiçakci Şeyda, Alici Serkan, Pinto Andrew David

机构信息

Department of Public Health, İzmir Health Directorate, İzmir, Turkey.

Information Center, Dokuz Eylul University, İzmir, Turkey.

出版信息

Medicine (Baltimore). 2024 Nov 22;103(47):e40482. doi: 10.1097/MD.0000000000040482.


DOI:10.1097/MD.0000000000040482
PMID:39809211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11596423/
Abstract

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, forming a significant area of service in Primary Health Care (PHC), which healthcare professionals often confront. It serves as a precursor to many critical illnesses and can lead to fatalities if not addressed promptly. Our study underscores the importance of this critical issue by analyzing articles related to hypertension in the PHC research area from the Web of Science Core Collection using bibliometric methods and machine learning techniques, specifically topic analyses using the latent Dirichlet allocation method. The analysis was conducted using Python Scikit-learn, Gensim, and Wordcloud Libraries, the VosViewer program, and the Bibliometrix R Biblioshiny library. Our findings revealed a steady increase in publication output in hypertension-related research. Analysis shows that hypertension-related research in the PHC research area is clustered into 8 groups: (1) management of hypertension in PHC, risk factors, and complications; (2) psychiatric disorders and hypertension; (3) pediatric and pregnancy hypertension; (4) environmental factors and living conditions; (5) sex and age effects on hypertension; (6) COVID-19 and hypertension; (7) behavioral risk factors, quality of life, and awareness; and (8) current treatment methods and guidelines. Research on hypertension has focused intensively on kidney disease, obesity, pregnancy, cardiovascular risk, heart disease, calcium channel blockers, body mass index, amlodipine, mortality, risk factors, hyperlipidemia, depression, and resistant hypertension. This study represents the first and comprehensive bibliometric analysis of hypertension in the PHC research area. Annual publication volumes have steadily increased over the years. In recent years, topics such as social determinants, patient attendance, self-management, diabetes mellitus, COVID-19, telemedicine, type 2 diabetes, and noncommunicable diseases have garnered significant interest in the field of PHC services.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/8fb86f26294e/medi-103-e40482-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/811b4b25d60b/medi-103-e40482-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/29f0dd8b8d87/medi-103-e40482-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/6b3d557b59be/medi-103-e40482-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/8fb86f26294e/medi-103-e40482-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/811b4b25d60b/medi-103-e40482-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/29f0dd8b8d87/medi-103-e40482-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/6b3d557b59be/medi-103-e40482-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1855/11596423/8fb86f26294e/medi-103-e40482-g004.jpg

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引用本文的文献

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本文引用的文献

[1]
Text mining of hypertension researches in the west Asia region: a 12-year trend analysis.

Ren Fail. 2024-12

[2]
Comparing the occurrence rate of gestational hypertension during pregnancy with frozen embryo transfer and natural pregnancy.

J Family Med Prim Care. 2023-12

[3]
Effect Modification by Age and Gender in the Correlation Between Diabetes Mellitus, Hypertension, and Obesity.

J Prim Care Community Health. 2023

[4]
Bibliometric and visual analysis of hypoxic pulmonary hypertension from 2013 to 2022.

Heliyon. 2023-11-4

[5]
Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling.

Int Neurourol J. 2023-11

[6]
Trends in exercise for hypertension: a bibliometric analysis.

Front Cardiovasc Med. 2023-10-23

[7]
Genetic and epigenetic factors of arterial hypertension: a bibliometric- and in-silico-based analyses.

Front Mol Biosci. 2023-10-12

[8]
Hypertension Control Status Among Patients Receiving Treatment From Selected Primary Health Centres in Puducherry: A Cohort-Analysis Approach.

Cureus. 2023-9-11

[9]
Implementation of Global Hearts Hypertension Control Programs in 32 Low- and Middle-Income Countries: JACC International.

J Am Coll Cardiol. 2023-11-7

[10]
Investigation of epigenetics insights of hypertension: A bibliometric analysis.

Medicine (Baltimore). 2023-9-8

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