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阿尔茨海默病与抑郁症的文献计量分析。

Bibliometric Analysis of Alzheimer's Disease and Depression.

机构信息

Department of Psychiatry, The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Department of Psychiatry, Brain Hospital of Hunan Province (The Second People's Hospital of Hunan Province), Changsha, Hunan, China.

出版信息

Curr Neuropharmacol. 2024;23(1):98-115. doi: 10.2174/1570159X22666240730154834.

DOI:10.2174/1570159X22666240730154834
PMID:39092642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11519817/
Abstract

BACKGROUND

The link between Alzheimer's disease and depression has been confirmed by clinical and epidemiological research. Therefore, our study examined the literary landscape and prevalent themes in depression-related research works on Alzheimer's disease through bibliometric analysis.

METHODS

Relevant literature was identified from the Web of Science core collection. Bibliometric parameters were extracted, and the major contributors were defined in terms of countries, institutions, authors, and articles using Microsoft Excel 2019 and VOSviewer. VOSviewer and CiteSpace were employed to visualize the scientific networks and seminal topics.

RESULTS

The analysis of literature utilised 10,553 articles published from 1991 until 2023. The three countries or regions with the most publications were spread across the United States, China, and England. The University of Toronto and the University of Pittsburgh were the major contributors to the institutions. Lyketsos, Constantine G., Cummings, JL were found to make outstanding contributions. Journal of Alzheimer's Disease was identified as the most productive journal. Furthermore, "Alzheimer's", "depression", "dementia", and "mild cognitive decline" were the main topics of discussion during this period.

LIMITATIONS

Data were searched from a single database to become compatible with VOSviewer and CiteSpace, leading to a selection bias. Manuscripts in English were considered, leading to a language bias.

CONCLUSION

Articles on "Alzheimer's" and "depression" displayed an upward trend. The prevalent themes addressed were the mechanisms of depression-associated Alzheimer's disease, the identification of depression and cognitive decline in the early stages of Alzheimer's, alleviating depression and improving life quality in Alzheimer's patients and their caregivers, and diagnosing and treating neuropsychiatric symptoms in Alzheimer. Future research on these hot topics would promote understanding in this field.

摘要

背景

临床和流行病学研究已经证实了阿尔茨海默病与抑郁症之间的联系。因此,我们通过文献计量分析研究了阿尔茨海默病相关抑郁症研究文献的文学景观和流行主题。

方法

从 Web of Science 核心集识别相关文献。使用 Microsoft Excel 2019 和 VOSviewer 提取文献计量参数,并从国家、机构、作者和文章方面确定主要贡献者。VOSviewer 和 CiteSpace 用于可视化科学网络和开创性主题。

结果

文献分析利用了 1991 年至 2023 年发表的 10,553 篇文章。发表文献数量最多的三个国家或地区分布在美国、中国和英国。多伦多大学和匹兹堡大学是机构的主要贡献者。Lyketsos、Constantine G. 和 Cummings、JL 被认为做出了杰出贡献。《阿尔茨海默病杂志》被确定为最具生产力的期刊。此外,“阿尔茨海默病”、“抑郁症”、“痴呆症”和“轻度认知障碍”是这一时期的主要讨论主题。

局限性

为了与 VOSviewer 和 CiteSpace 兼容,数据从单个数据库中搜索,导致选择偏差。只考虑了英文文献,导致语言偏差。

结论

关于“阿尔茨海默病”和“抑郁症”的文章呈上升趋势。讨论的主要主题是抑郁症相关阿尔茨海默病的发病机制、阿尔茨海默病早期抑郁和认知衰退的识别、缓解阿尔茨海默病患者及其护理人员的抑郁和改善生活质量、以及诊断和治疗阿尔茨海默病的神经精神症状。对这些热门话题的未来研究将促进该领域的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/8f4e785e06e2/CN-23-98_F6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/97105ff3e9b1/CN-23-98_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/9c5add814249/CN-23-98_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/f10f2bcb273d/CN-23-98_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/231b71cedb57/CN-23-98_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/f0484011bc65/CN-23-98_F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/8f4e785e06e2/CN-23-98_F6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/97105ff3e9b1/CN-23-98_F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/9c5add814249/CN-23-98_F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/f10f2bcb273d/CN-23-98_F3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/231b71cedb57/CN-23-98_F4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/f0484011bc65/CN-23-98_F5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b834/11519817/8f4e785e06e2/CN-23-98_F6.jpg

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