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Stem Cell Therapy for Neuropathic Pain: A Bibliometric and Visual Analysis
Houming Kan1,2,3, Lijun Fan1,2,3, Xiaodie Gui4
1Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, Jiangsu, People's Republic of China.
Journal of Pain Research
|June 30, 2022
Summary
Stem cell therapy shows promise for intractable neuropathic pain. Research is rapidly expanding, focusing on molecular targets like IL-1β and exploring mechanisms for regeneration and treatment.
Area of Science:
- Regenerative Medicine
- Neuroscience
- Biotechnology
Background:
- Neuropathic pain is a debilitating global health issue with limited effective treatments.
- Stem cell therapy is emerging as a promising therapeutic strategy for neuropathic pain.
- Understanding the current research landscape is crucial for advancing this field.
Purpose of the Study:
- To visually analyze the existing literature on stem cell therapy for neuropathic pain.
- To identify current research status, hot issues, and future directions.
- To provide insights for future research in stem cell-based neuropathic pain treatment.
Main Methods:
- Bibliometric analysis of 291 articles (1995-2021) from Web of Science Core Collection using CiteSpace.
- Geographical distribution analysis using Gunnmap.
- Trend analysis of annual publications using Microsoft Excel.
Main Results:
- A consistent year-on-year increase in publications on stem cell therapy for neuropathic pain.
- United States, China, and Japan are the leading countries in research output.
- Key research areas include the expression of specific molecules (e.g., IL-1β, TNF-α) and concepts like activation, regeneration, and chemotherapy.
Conclusions:
- Stem cell therapy holds significant potential for treating neuropathic pain.
- Further research into the underlying mechanisms of stem cell therapy is essential.
- Identifying research hotspots like molecular expression and regenerative processes will guide future studies.
Keywords:
CiteSpaceWeb of Sciencebibliometric analysisneuropathic painstem cellvisualization analysis
