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Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output
Objective: This study aimed to analyze the progression and trends of multimorbidity in the elderly in China and internationally from a bibliometric perspective, and compare their differences on hotspots and research fronts. Methods: Publications between January 2001 and August 2021 were retrieved fr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744847/ https://www.ncbi.nlm.nih.gov/pubmed/35010613 http://dx.doi.org/10.3390/ijerph19010353 |
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author | Zhou, Xuan Zhang, Dan |
author_facet | Zhou, Xuan Zhang, Dan |
author_sort | Zhou, Xuan |
collection | PubMed |
description | Objective: This study aimed to analyze the progression and trends of multimorbidity in the elderly in China and internationally from a bibliometric perspective, and compare their differences on hotspots and research fronts. Methods: Publications between January 2001 and August 2021 were retrieved from WOS and CNKI databases. Endnote 20 and VOSviewer 1.6.8 were used to summarize bibliometric features, including publication years, journals, and keywords, and the co-occurrence map of countries, institutions, and keywords was drawn. Results: 3857 research papers in English and 664 research papers in Chinese were included in this study. The development trends of multimorbidity in the elderly are fully synchronized in China and other countries. They were divided into germination period, development period, and prosperity period. Research literature in English was found to be mainly focused on public health, and the IF of the literature is high; In China, however, most research papers are in general medicine and geriatrics with fewer core journals. Co-occurrence analysis based on countries and institutions showed that the most productive areas were the United States, Canada, the United Kingdom, and Australia, while the Chinese researchers have made little contribution. The clustering analysis of high-frequency keywords in China and around the globe shows that the hotspots have shifted from individual multimorbidity to group multimorbidity management. Sorting out the top 10 highly cited articles and highly cited authors, Barnett, K’s article published in Lancet in 2012 is regarded as a milestone in the field. Conclusion: Multimorbidity in the elderly leads to more attention in the world. Although China lags behind global research the research fronts from disease-centered to patient-centered, and individual management to population management is consistent. |
format | Online Article Text |
id | pubmed-8744847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87448472022-01-11 Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output Zhou, Xuan Zhang, Dan Int J Environ Res Public Health Review Objective: This study aimed to analyze the progression and trends of multimorbidity in the elderly in China and internationally from a bibliometric perspective, and compare their differences on hotspots and research fronts. Methods: Publications between January 2001 and August 2021 were retrieved from WOS and CNKI databases. Endnote 20 and VOSviewer 1.6.8 were used to summarize bibliometric features, including publication years, journals, and keywords, and the co-occurrence map of countries, institutions, and keywords was drawn. Results: 3857 research papers in English and 664 research papers in Chinese were included in this study. The development trends of multimorbidity in the elderly are fully synchronized in China and other countries. They were divided into germination period, development period, and prosperity period. Research literature in English was found to be mainly focused on public health, and the IF of the literature is high; In China, however, most research papers are in general medicine and geriatrics with fewer core journals. Co-occurrence analysis based on countries and institutions showed that the most productive areas were the United States, Canada, the United Kingdom, and Australia, while the Chinese researchers have made little contribution. The clustering analysis of high-frequency keywords in China and around the globe shows that the hotspots have shifted from individual multimorbidity to group multimorbidity management. Sorting out the top 10 highly cited articles and highly cited authors, Barnett, K’s article published in Lancet in 2012 is regarded as a milestone in the field. Conclusion: Multimorbidity in the elderly leads to more attention in the world. Although China lags behind global research the research fronts from disease-centered to patient-centered, and individual management to population management is consistent. MDPI 2021-12-30 /pmc/articles/PMC8744847/ /pubmed/35010613 http://dx.doi.org/10.3390/ijerph19010353 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zhou, Xuan Zhang, Dan Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title | Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title_full | Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title_fullStr | Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title_full_unstemmed | Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title_short | Multimorbidity in the Elderly: A Systematic Bibliometric Analysis of Research Output |
title_sort | multimorbidity in the elderly: a systematic bibliometric analysis of research output |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8744847/ https://www.ncbi.nlm.nih.gov/pubmed/35010613 http://dx.doi.org/10.3390/ijerph19010353 |
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