Bibliometric Analysis of Alzheimer's Disease and Depression.

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-01-01 DOI:10.2174/1570159X22666240730154834

Sixin Li, Qian Zhang, Jian Liu, Nan Zhang, Xinyu Li, Ying Liu, Huiwen Qiu, Jing Li, Hui Cao

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引用次数: 0

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.

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阿尔茨海默病和抑郁症的文献计量分析。

背景：阿尔茨海默病与抑郁症之间的联系已被临床和流行病学研究证实。因此，我们的研究通过文献计量学分析，考察了阿尔茨海默病抑郁症相关研究著作的文学面貌和流行主题：方法：从 Web of Science 核心数据库中查找相关文献。使用 Microsoft Excel 2019 和 VOSviewer 提取文献计量参数，并从国家、机构、作者和文章等方面定义主要贡献者。VOSviewer 和 CiteSpace 用于可视化科学网络和开创性主题：文献分析使用了从 1991 年到 2023 年发表的 10553 篇文章。发表文章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这些机构的主要贡献者。Lyketsos, Constantine G., Cummings, JL 被认为做出了突出贡献。阿尔茨海默病杂志》被认为是最有成果的杂志。此外，"阿尔茨海默氏症"、"抑郁症"、"痴呆症 "和 "轻度认知功能衰退 "是这一时期的主要讨论主题：为了与 VOSviewer 和 CiteSpace 兼容，从单一数据库中搜索了数据，这导致了选择上的偏差。研究考虑的是英文稿件，因此存在语言偏差：有关 "阿尔茨海默氏症 "和 "抑郁症 "的文章呈上升趋势。讨论的主要主题包括抑郁症相关阿尔茨海默病的机制、阿尔茨海默病早期抑郁症和认知能力下降的识别、缓解抑郁症和提高阿尔茨海默病患者及其护理人员的生活质量，以及诊断和治疗阿尔茨海默病的神经精神症状。未来对这些热点话题的研究将促进对这一领域的了解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.