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

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL Drug Design, Development and Therapy Pub Date : 2024-11-04 eCollection Date: 2024-01-01 DOI:10.2147/DDDT.S476680
Jiyang Li, Xinxing Fei, Shiqi Wang, Zhangyu Xu, Fangyuan Xu, Jianxiong Wang, Yaqian Gao, Yue Hu
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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. European Neuropsychopharmacology 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.

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对有关将选择性羟色胺再摄取抑制剂用作抗抑郁药的 WoSCC 文献进行文献计量分析。
背景:关于使用选择性血清素再摄取抑制剂(SSRIs)治疗抑郁症的研究很多。然而,该领域研究论文的总体趋势仍然难以捉摸。对该领域文献的定量分析仍然很少。因此,我们进行了一项文献计量分析,探索围绕 SSRIs 治疗抑郁症的研究模式,旨在深入了解其发展和影响:方法:我们在 Web of Science 核心文献集中找到了有关使用 SSRIs 治疗抑郁症的文献。使用 Bibliometrix、VOSviewer 和 CiteSpace 进行了可视化分析:文献计量分析共收录了1990年至2024年间发表的1149篇论文。自 1990 年以来,每年发表的论文数量逐年增加,2004 年达到最高值。拟合曲线显示,2004 年之后,每年发表的论文数量基本保持稳定。在这些机构中,匹兹堡大学在该领域表现突出。Fava M 的科研产出率最高,学术影响广泛。欧洲神经精神药理学》是该领域最活跃的期刊。最相关的三个关键词是 "氟西汀"、"双盲 "和 "重度抑郁症"。近年来的趋势主题是 "连接性"、"c 反应蛋白 "和 "失乐症":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。
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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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