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Bibliometric Study of the Comorbidity of Pain and Depression Research

BACKGROUND: Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbid...

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Detalles Bibliográficos
Autores principales: Wang, Xue-Qiang, Peng, Meng-Si, Weng, Lin-Man, Zheng, Yi-Li, Zhang, Zhi-Jie, Chen, Pei-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854239/
https://www.ncbi.nlm.nih.gov/pubmed/31772566
http://dx.doi.org/10.1155/2019/1657498
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author Wang, Xue-Qiang
Peng, Meng-Si
Weng, Lin-Man
Zheng, Yi-Li
Zhang, Zhi-Jie
Chen, Pei-Jie
author_facet Wang, Xue-Qiang
Peng, Meng-Si
Weng, Lin-Man
Zheng, Yi-Li
Zhang, Zhi-Jie
Chen, Pei-Jie
author_sort Wang, Xue-Qiang
collection PubMed
description BACKGROUND: Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. METHODS: The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. RESULTS: A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P < 0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. CONCLUSIONS: The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers.
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spelling pubmed-68542392019-11-26 Bibliometric Study of the Comorbidity of Pain and Depression Research Wang, Xue-Qiang Peng, Meng-Si Weng, Lin-Man Zheng, Yi-Li Zhang, Zhi-Jie Chen, Pei-Jie Neural Plast Research Article BACKGROUND: Comorbid pain and depression occur with high prevalence in clinical observations, and published academic journals about them have been increasing in number over time. However, few studies used the bibliometric method to analyze the general aspects of scientific researches on the comorbidity of pain and depression. The aim of this study is to systematically provide global scientific research in the comorbidity of pain and depression from 1980 to 2018. METHODS: The published papers were searched between 1980 and 2018 in Web of Science. Publications related to comorbid pain and depression research were included. The language was restricted to English, and no species limitations were specified. RESULTS: A total of 2,519 papers met the inclusion criteria in our study. The results revealed that the publications had a significant growth over time in the comorbidity of pain and depression research (P < 0.001) by linear regression analyses. The United States had the largest number of publications and citations and the highest value of H-index. According to subject categories of Web of Science, research areas of the 2,519 papers mainly focused on clinical neurology (28.78%), neurosciences (22.9%), and psychiatry (22.23%). In accordance with types of pain, headache (19.09%) was the most popular topic in the included papers on comorbid pain and depression research. CONCLUSIONS: The findings provide useful information for pain and depression researchers to detect new areas related to collaborators, cooperative institutions, popular topics, and research frontiers. Hindawi 2019-10-23 /pmc/articles/PMC6854239/ /pubmed/31772566 http://dx.doi.org/10.1155/2019/1657498 Text en Copyright © 2019 Xue-Qiang Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Xue-Qiang
Peng, Meng-Si
Weng, Lin-Man
Zheng, Yi-Li
Zhang, Zhi-Jie
Chen, Pei-Jie
Bibliometric Study of the Comorbidity of Pain and Depression Research
title Bibliometric Study of the Comorbidity of Pain and Depression Research
title_full Bibliometric Study of the Comorbidity of Pain and Depression Research
title_fullStr Bibliometric Study of the Comorbidity of Pain and Depression Research
title_full_unstemmed Bibliometric Study of the Comorbidity of Pain and Depression Research
title_short Bibliometric Study of the Comorbidity of Pain and Depression Research
title_sort bibliometric study of the comorbidity of pain and depression research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854239/
https://www.ncbi.nlm.nih.gov/pubmed/31772566
http://dx.doi.org/10.1155/2019/1657498
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