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基于 WoSCC 文献的选择性 5-羟色胺再摄取抑制剂作为抗抑郁药使用的文献计量分析。

A Bibliometric Analysis of the WoSCC Literature on the Use of Selective Serotonin Reuptake Inhibitors as Antidepressants.

机构信息

Department of Rehabilitation Medicine, Sichuan Tianfu New Area People's Hospital, Chengdu, People's Republic of China.

Department of Psychiatry, Chengdu Eighth People's Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, People's Republic of China.

出版信息

Drug Des Devel Ther. 2024 Nov 4;18:4961-4974. doi: 10.2147/DDDT.S476680. eCollection 2024.

DOI:10.2147/DDDT.S476680
PMID:39525047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11545711/
Abstract

BACKGROUND

Many studies have been conducted on the use of selective serotonin reuptake inhibitors (SSRIs) for the treatment of depression. However, the overall trends in research publications in this field remain elusive. There is still little quantitative analysis of the literature in this field. Therefore, we conducted a bibliometric analysis to explore the research patterns surrounding SSRIs for depression, aiming to gain a deeper understanding of their development and impact.

METHODS

Publications about the use of SSRIs for the treatment of depression were identified in the Web of Science Core Collection. Visualization analysis was performed with Bibliometrix, VOSviewer, and CiteSpace.

RESULTS

A total of 1149 publications published from 1990 to 2024 were included in the bibliometric analysis. Since 1990, the annual number of published papers has increased annually, reaching the maximum value of output in 2004. Fitted curve showed that after 2004, the number of publications per year was essentially stable The United States dominates the field. Among these institutions, University of Pittsburgh excels in this field. Fava M has the highest scientific productivity and extensive academic influence. is the most active journal in this field. The three most relevant keywords were "fluoxetine", "double-blind", and "major depression". The trend topics in recent years were "connectivity", "c-reactive protein", and "anhedonia".

CONCLUSION

Research on the use of SSRIs for the treatment of depression continues to receive increased attention but still requiraes further exploration and innovation. We further analyze the current research hotspots and frontiers in this field.

摘要

背景

许多研究都集中在使用选择性 5-羟色胺再摄取抑制剂(SSRIs)治疗抑郁症上。然而,该领域研究出版物的总体趋势仍然难以捉摸。该领域的文献仍然很少进行定量分析。因此,我们进行了文献计量分析,以探讨围绕 SSRIs 治疗抑郁症的研究模式,旨在更深入地了解它们的发展和影响。

方法

在 Web of Science 核心合集(Web of Science Core Collection)中确定了关于使用 SSRIs 治疗抑郁症的出版物。使用 Bibliometrix、VOSviewer 和 CiteSpace 进行可视化分析。

结果

共纳入了 1149 篇 1990 年至 2024 年发表的文献进行计量分析。自 1990 年以来,每年发表的论文数量逐年增加,在 2004 年达到了最高产出值。拟合曲线显示,2004 年后,每年的出版物数量基本保持稳定。美国在该领域占据主导地位。在这些机构中,匹兹堡大学在该领域表现出色。Fava M 具有最高的科研生产力和广泛的学术影响力。 是该领域最活跃的期刊。三个最相关的关键词是“氟西汀”、“双盲”和“重性抑郁症”。近年来的趋势主题是“连通性”、“C 反应蛋白”和“快感缺失”。

结论

使用 SSRIs 治疗抑郁症的研究继续受到越来越多的关注,但仍需要进一步探索和创新。我们进一步分析了该领域当前的研究热点和前沿。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/7ae5b1380753/DDDT-18-4961-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/f574126968f3/DDDT-18-4961-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/af86a7d671ae/DDDT-18-4961-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/fc4976575a32/DDDT-18-4961-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/f6ebff916d4b/DDDT-18-4961-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/1a691f6c3f9b/DDDT-18-4961-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/7d43a55c95ff/DDDT-18-4961-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/7ae5b1380753/DDDT-18-4961-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/f574126968f3/DDDT-18-4961-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/af86a7d671ae/DDDT-18-4961-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/fc4976575a32/DDDT-18-4961-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/f6ebff916d4b/DDDT-18-4961-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/1a691f6c3f9b/DDDT-18-4961-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/7d43a55c95ff/DDDT-18-4961-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3683/11545711/7ae5b1380753/DDDT-18-4961-g0007.jpg

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