Useless. With 39% to 55% post stroke pain (1 post to October 2022) and known a lot sooner than that(10+ years), the idea is to solve the problem, NOT JUST TELL US IT EXISTS!
Bibliometric Analysis of Post-Stroke Pain Research Published from 2012 to 2021
Authors Xiong F, Shen P, Li Z, Huang Z, Liang Y, Chen X, Li Y , Chai X , Feng Z, Li M
Received 22 May 2022
Accepted for publication 12 December 2022
Published 5 January 2023 Volume 2023:16 Pages 1—20
DOI https://doi.org/10.2147/JPR.S375063
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Jonathan Greenberg
Feng Xiong,1 Peng Shen,1 Zhenhui Li,2 Ziyi Huang,1 Ying Liang,1 Xiwen Chen,1 Yutong Li,3 Xinping Chai,3 Zhen Feng,1,* Moyi Li1,*
1Rehabilitation Medicine Department, The First Affiliated Hospital of Nanchang University, Nanchang, People’s Republic of China; 2Children
Health Care Department, Longyan First Hospital Affiliated to Fujian
Medical University, Longyan, People’s Republic of China; 3First School of Clinical Medicine, Nanchang University, Nanchang, People’s Republic of China
*These authors contributed equally to this work
Correspondence:
Moyi Li; Zhen Feng, Rehabilitation Medicine Department, The First
Affiliated Hospital of Nanchang University, No. 17, Yong Wai Zheng Jie,
Nanchang, Jiangxi, 330006, People’s Republic of China, Tel +86
15806031050 ; +86 13970038111, Email limoyi123@aliyun.com; fengzhen@email.ncu.edu.cn
Background and Purpose:
Pain is one of the most common symptoms in patients after stroke. It is
a distressing experience that affects patients’ quality of life, and it
is highly prevalent in clinical practice. The pathogenesis mechanisms
of PSP are not so clear, and there is currently a lack of effective
medical treatments, hence it is necessary to establish a sufficient
understanding of this disease. Limited number of studies have applied
bibliometric methods to systematically analyze studies on post-stroke
pain. This study aimed to systematically analyze scientific studies
conducted worldwide on post-stroke pain from 2012 to 2021 to evaluate
global trends in this field using a bibliometric analysis.
Methods:
Publications related to post-stroke pain from 2012 to 2021 were
obtained from the Web of Science Core Collection database. Bibliometrics
Biblioshiny R-package software was used to analyze the relationship of
publication year with country, institution, journals, authors, and
keywords and to generate variant visual maps to show annual
publications, most relevant countries, authors, sources, keywords, and
top-cited articles.
Results: In this study, 5484
papers met the inclusion criteria. The annual growth rate of
publications was 5.13%. The USA had the highest number of publications
(1381, 25.2%) and citations (36,395), and the University of Toronto had
the highest number of papers (156, 2.8%). “Stroke”, “management”,
“pain”, “risk”, “prevalence”, “ischemic stroke”, “risk factors”,
“disease”, “diagnosis” and “therapy” are the top 10 keywords.
Conclusion:
The global research interest regarding PSP has maintained growing over
the past ten years. Both central post stroke pain and hemiplegic
shoulder pain are the hottest research subjects. Further investigations
are needed in order to reveal the mystery of the pathophysiologic
mechanisms of CPSP, and high-quality well-designed trials of potential
treatments of CPSP and HSP are also needed.
Keywords: post-stroke pain, publication trends, bibliometric analysis, research interest
Introduction
Post-stroke pain (PSP) is a common and refractory disabling complication in stroke survivors. The mean prevalence of the various types of post-stroke pain was 29.56%, which was higher in the subacute and chronic stages than in the acute post-stroke stage (14.06% in the acute, 42.73% in the subacute, and 31.90% in the chronic post-stroke stage).1–3 The most common types of PSP include central post-stroke pain (CPSP), complex regional pain syndrome (CRPS), pain secondary to spasticity, shoulder pain, and headache.3–5 Currently, the diagnosis of definite neuropathic pain should be based on the sensory findings, relevant lesion, and specific findings on clinical examination, as there are no pathognomonic features of PSP.6–8 Patients who experience PSP seem to be more likely to have a lower quality of life, poorer cognitive and functional performance, higher fatigue perception, and higher incidence of depression, anxiety symptoms, sleep disorders, and suicidality, facing the dual challenges of physical and mental suffering.9–15 Both pharmacological and non-pharmacological interventions can be used to relieve PSP.16 Besides, a multimodal strategy incorporating lifestyle-related interventions have been studied to optimize prognosis with improved quality of life and social participation after stroke, considering the complex interrelation between medical and psychosocial aspects of post-stroke pain and other post-stroke complications.16
Bibliometrics is a comprehensive science mapping analysis tool for analyzing and processing massive literature information, improve the efficiency of scientific research.17 It is extensively used to visualize the citation, cooperation, co-occurrence and other relationships within the literatures, and construct various types of knowledge maps,17–19 and explore the critical paths, research hotspots, and frontiers of the evolution of this discipline or field.20 In the past 10 years, bibliometric analyses have been conducted on other stroke-related research hotspots, such as inflammasomes,21 traditional medicine,22 and rehabilitation treatment.23 They used bibliometric methods to objectively present the global trend of pathogenesis, treatments of stroke and to provide important information for relevant researchers.
The pathogenesis mechanisms of PSP are not so clear, and there is currently a lack of effective medical treatments, hence it is necessary to establish a sufficient understanding of this disease.5,24 Limited number of studies have used bibliometric methods to analyze the overall aspects pertaining to PSP currently. Therefore, this study aimed to methodically offer a comprehensive scientific analysis of published research within the past 10 years using a bibliometric analysis. The results of the present study would provide valuable reference information for researchers about identification of the current focus and challenges in the research evidence of post-stroke pain.
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