Literature DB >> 33680225

Bibliometric Analysis of Research on the Comorbidity of Pain and Inflammation.

Huan-Yu Xiong1, Zhi-Jie Zhang2, Xue-Qiang Wang1,3.   

Abstract

Objectives: To provide a comprehensive review on the global scientific research status of comorbid pain and inflammation from 1981 to 2019 and capture its subsequent development trends. Data Sources. The primary database chosen to collect publications on comorbid pain and inflammation research from 1981 to 2019 was the Web of Science (WOS). Core of the search strategy was the key word "pain" and the key word "inflammation" in the medical subject headings' major field. Study Selection. All articles retrieved were included in the bibliometric analysis. Data Extraction. We used CiteSpace to analyze publication outputs, subject categories, distribution by country/institution/journal, and other types of information. Then, knowledge base, hot issues, and future development directions were explained. Data Synthesis. A total of 2887 papers met the inclusion criteria in our research. Linear regression analysis results showed that the publications of studies of comorbid pain and inflammation significantly increased (P < 0.001) and have grown about 192 times in 40 years. The countries with the most outputs were the USA (886 publications), China (375 publications), and England (236 publications). Besides, Harvard University was the most prolific institution with 730 publications and 6646 citations. In accordance with the subject categories of WOS, neurosciences (31.832%), pharmacology/pharmacy (18.427%), and clinical neurology (15.206%) were the main research areas of these 2887 papers. Conclusions: The current study reveals that research on comorbid pain and inflammation has gradually become more extensive worldwide since 1981, and neuropathic pain was the most popular study type. Most of our research output in this field came from countries in Europe and North America, although some Asian countries showed promising performance.
Copyright © 2021 Huan-Yu Xiong et al.

Entities:  

Mesh:

Year:  2021        PMID: 33680225      PMCID: PMC7904349          DOI: 10.1155/2021/6655211

Source DB:  PubMed          Journal:  Pain Res Manag        ISSN: 1203-6765            Impact factor:   3.037


  46 in total

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