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Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021
BACKGROUND: The diagnosis and treatment rate of Parkinson disease (PD) with depression has a low diagnostic rate, and there is no consensus on the choice of treatment mode. This study evaluates the global research trends of scientific outputs related to depression in PD from multiple perspectives, u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351875/ https://www.ncbi.nlm.nih.gov/pubmed/35945720 http://dx.doi.org/10.1097/MD.0000000000029931 |
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author | Liu, Yan Ding, Linlin Xianyu, Yunyan Nie, Shuke Yang, Jiying |
author_facet | Liu, Yan Ding, Linlin Xianyu, Yunyan Nie, Shuke Yang, Jiying |
author_sort | Liu, Yan |
collection | PubMed |
description | BACKGROUND: The diagnosis and treatment rate of Parkinson disease (PD) with depression has a low diagnostic rate, and there is no consensus on the choice of treatment mode. This study evaluates the global research trends of scientific outputs related to depression in PD from multiple perspectives, using a bibliometric analysis and visualization tool to scientifically analyze the knowledge from the literature. METHODS: Literature related to depression in PD published from 2012 to 2021 was included and selected from the Web of Science Core Collection database in October 2021. CiteSpace software was used to visualize and analyze co-occurrence analyses for countries, institutions, authors, and keywords. RESULTS: A total of 4533 articles from the Web of Science database were included. The United States made the largest contribution with the majority of publications (1215; 29.40%). Toronto University was the most productive institution. PD, depression, quality of life, dementia, nonmotor symptom, prevalence, anxiety, Alzheimer disease, symptom, and disorder would be significantly correlated with depression in PD. The current hot spots in this field focus on the following: risk factors for depression in PD, assessment scale of depression in PD, and rehabilitation of depression in PD. CONCLUSIONS: This analysis not only reveals the current research trends and hotspots but also provides some instructive suggestions on the development of depression in PD. |
format | Online Article Text |
id | pubmed-9351875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-93518752022-08-05 Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 Liu, Yan Ding, Linlin Xianyu, Yunyan Nie, Shuke Yang, Jiying Medicine (Baltimore) Research Article BACKGROUND: The diagnosis and treatment rate of Parkinson disease (PD) with depression has a low diagnostic rate, and there is no consensus on the choice of treatment mode. This study evaluates the global research trends of scientific outputs related to depression in PD from multiple perspectives, using a bibliometric analysis and visualization tool to scientifically analyze the knowledge from the literature. METHODS: Literature related to depression in PD published from 2012 to 2021 was included and selected from the Web of Science Core Collection database in October 2021. CiteSpace software was used to visualize and analyze co-occurrence analyses for countries, institutions, authors, and keywords. RESULTS: A total of 4533 articles from the Web of Science database were included. The United States made the largest contribution with the majority of publications (1215; 29.40%). Toronto University was the most productive institution. PD, depression, quality of life, dementia, nonmotor symptom, prevalence, anxiety, Alzheimer disease, symptom, and disorder would be significantly correlated with depression in PD. The current hot spots in this field focus on the following: risk factors for depression in PD, assessment scale of depression in PD, and rehabilitation of depression in PD. CONCLUSIONS: This analysis not only reveals the current research trends and hotspots but also provides some instructive suggestions on the development of depression in PD. Lippincott Williams & Wilkins 2022-08-05 /pmc/articles/PMC9351875/ /pubmed/35945720 http://dx.doi.org/10.1097/MD.0000000000029931 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Yan Ding, Linlin Xianyu, Yunyan Nie, Shuke Yang, Jiying Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title | Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title_full | Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title_fullStr | Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title_full_unstemmed | Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title_short | Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021 |
title_sort | research on depression in parkinson disease: a bibliometric and visual analysis of studies published during 2012–2021 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351875/ https://www.ncbi.nlm.nih.gov/pubmed/35945720 http://dx.doi.org/10.1097/MD.0000000000029931 |
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