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Published on: November 27, 2019
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Scientometric analysis of post-stroke depression research based on CiteSpace
Saixue Tang1,2, Mingzhou Gao1, Xunshu Cheng1
1Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China.
Medicine
|May 5, 2023
Summary
This bibliometric analysis reveals a growing global research interest in post-stroke depression (PSD). Key trends include meta-analysis, ischemic stroke, and inflammation, guiding future research directions.
Area of Science:
- Neuroscience
- Psychiatry
- Bibliometrics
Background:
- Post-stroke depression (PSD) is a significant complication impacting mortality.
- Limited bibliometric analyses have focused on the research landscape of PSD.
Purpose of the Study:
- To conduct a bibliometric analysis of global research on PSD.
- To identify current research status, emerging trends, and future directions in PSD.
Main Methods:
- Bibliometric analysis of 533 publications from Web of Science Core Collection (up to Sept 24, 2022).
- VOSviewer and CiteSpace software used for visual analysis of publications, cooperation, references, and keywords.
Main Results:
- A consistent increase in PSD publications from 1999-2022.
- USA and Duke University lead in PSD research; Robinson RG and Alexopoulos GS are prominent investigators.
- Past research focused on risk factors, late-life depression, and Alzheimer's disease; recent focus on meta-analysis, ischemic stroke, predictors, inflammation, mechanisms, and mortality.
Conclusions:
- PSD research has progressed significantly over the past two decades.
- Bibliometric analysis highlights key contributors and evolving research hotspots.
- Future research should prioritize meta-analysis, ischemic stroke, predictors, inflammation, mechanisms, and mortality in PSD.
