Chinese Journal of Rehabilitation Theory and Practice ›› 2024, Vol. 30 ›› Issue (7): 797-803.doi: 10.3969/j.issn.1006-9771.2024.07.007

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Researches related to pain in Parkinson's disease: a bibliometrics analysis

CHEN Mengyuan1, WANG Qiuqin1, XU Yuchen1, LIU Jie1, ZHANG Xinyue1, CHEN Juping2, XU Guihua1()   

  1. 1. School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, China
    2. Neurology Department, Changshu Hospital of Traditional Chinese Medicine, Suzhou, Jiangsu 215500, China
  • Received:2024-03-19 Revised:2024-06-03 Published:2024-07-25 Online:2024-08-07
  • Contact: XU Guihua, E-mail: 7115@njucm.edu.cn
  • Supported by:
    Graduate Practice Innovation Projects in Jiangsu Province(SJCX24_0820);Natural Science Research Project of Higher Education Institutions of Jiangsu Province(19KJB360014);Open Topic of Nursing Professional Committee of World Federation of Chinese Medicine Societies(SZLHLA-1906)

Abstract:

Objective To analyze the hotspots and frontiers of researches related to pain in Parkinson's disease.
Methods The literatures on pain in Parkinson's disease were retrieved from CNKI, VIP, Wanfang data, CBM and Web of Science Core Collection from inception to November, 2023, and were analyzed with CiteSpace 6.1.R6.
Results A total of 926 literatures were included with 293 in Chinese and 633 in English, respectively. Chinese high-frequency keywords were quality of life, sleep disorders and depression, while English high-frequency keywords were nonmotor symptom, quality of life and levodopa. The latest bursting word in Chinese was pathogenesis, while the latest bursting words in English were exercise and management.
Conclusion Number of researches related to pain in Parkinson's disease is gradually rising, and the characteristics, pathogenesis, quality of life, rehabilitation interventions and clinical efficacy have become research hotspots. The mechanism of pain in Parkinson's disease and rehabilitation management program will be the main research topics in the future.

Key words: Parkinson's disease, pain, bibliometrics

CLC Number: