背景:临床和流行病学研究证实了阿尔茨海默病和抑郁症之间的联系。因此,我们的研究通过文献计量分析研究了阿尔茨海默病抑郁症相关研究工作中的文学景观和流行主题。
方法:相关文献来自WebofScience核心集合。提取了文献计量参数,主要贡献者是根据国家来定义的,机构,作者,以及使用MicrosoftExcel2019和VOSviewer的文章。VOSviewer和CiteSpace被用来可视化科学网络和开创性主题。
结果:文献分析使用了1991年至2023年发表的10,553篇文章。出版物最多的三个国家或地区分布在美国各地,中国,和英格兰。多伦多大学和匹兹堡大学是这些机构的主要贡献者。Lyketsos,康斯坦丁G.,卡明斯,JL被发现做出了杰出贡献。阿尔茨海默病杂志被认为是最有成效的杂志。此外,“老年痴呆症”,“抑郁症”,\"痴呆症\",“轻度认知衰退”是这一时期讨论的主要话题。
结论:从单个数据库中搜索数据以与VOSviewer和CiteSpace兼容,导致选择偏差。考虑了英文手稿,导致语言偏见。
结论:关于“阿尔茨海默氏症”和“抑郁症”的文章显示出上升趋势。讨论的普遍主题是抑郁症相关的阿尔茨海默病的机制,在阿尔茨海默氏症的早期阶段识别抑郁症和认知能力下降,减轻抑郁症和提高生活质量的老年痴呆症患者和他们的照顾者,诊断和治疗阿尔茨海默氏症的神经精神症状。未来对这些热门话题的研究将促进对这一领域的理解。
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.
CONCLUSIONS: 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.
CONCLUSIONS: 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.