Evolution and Emerging Trends in Depression Research From 2004 to 2019: A Literature Visualization Analysis

Wang, Hui; Tian, Xuemei; Wang, Xianrui; Wang, Yun

doi:10.3389/fpsyt.2021.705749

Cited by 28 publications

(16 citation statements)

References 92 publications

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“…In this bibliometric analysis, most of the relevant articles were published by corresponding authors from several countries such as the USA, China, Germany, and the UK. Similar patterns have been found in bibliometric studies in other fields such as depression ( 33 ), bipolar disorders ( 34 ), and general neuropharmacology ( 35 ). Academic capability is largely determined by the economic status of a country ( 36 ).…”

Section: Discussionsupporting

confidence: 80%

Schizophrenia and Inflammation Research: A Bibliometric Analysis

Sun

Bai

et al. 2022

Front. Immunol.

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BackgroundSchizophrenia (SCZ) is a severe psychiatric disorder that involves inflammatory processes. The aim of this study was to explore the field of inflammation-related research in SCZ from a bibliometric perspective.MethodsRegular and review articles on SCZ- and inflammation-related research were obtained from the Web of Science Core Collection (WOSCC) database from its inception to February 19, 2022. R package “bibliometrix” was used to summarize the main findings, count the occurrences of the top keywords, visualize the collaboration network between countries, and generate a three-field plot. VOSviewer software was applied to conduct both co-authorship and co-occurrence analyses. CiteSpace was used to identify the top references and keywords with the strongest citation burst.ResultsA total of 3,596 publications on SCZ and inflammation were included. Publications were mainly from the USA, China, and Germany. The highest number of publications was found in a list of relevant journals. Apart from “schizophrenia” and “inflammatory”, the terms “bipolar disorder,” “brain,” and “meta-analysis” were also the most frequently used keywords.ConclusionsThis bibliometric study mapped out a fundamental knowledge structure consisting of countries, institutions, authors, journals, and articles in the research field of SCZ and inflammation over the past 30 years. The results provide a comprehensive perspective about the wider landscape of this research area.

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Section: Discussionsupporting

confidence: 80%

Schizophrenia and Inflammation Research: A Bibliometric Analysis

Sun

Bai

et al. 2022

Front. Immunol.

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“…Is the increase in publications regarding AF and depression associated with a general increase in publications in the field of AF or depression? According to the bibliometric studies, we can learn about that the annual publication of AF or depression had increased steadily year by year from 2015 to 2018, but there is no rapid growth period ( 19 , 20 ). From this point of view, the sharp increase in the number of annual publication on AF and depression in recent years may not be entirely related to the increase in the publication of AF or depression, but it may be because scientists pay more attention to the association between on AF and depression.…”

Section: Discussionmentioning

confidence: 99%

Atrial Fibrillation and Depression: A Bibliometric Analysis From 2001 to 2021

Xing

Yan

et al. 2022

Front. Cardiovasc. Med.

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BackgroundThe control of diseases related to atrial fibrillation (AF) may reduce the occurrence of AF, delay progression, and reduce complications, which is beneficial to the prevention and treatment of AF. An increasing number of studies have shown that AF is associated with depression. However, to date, there has not been a bibliometric analysis to examine this field systematically. Our study aimed to visualize the publications to determine the hotspots and frontiers in research on AF and depression and provide guidance and reference for further study.MethodsPublications about AF and depression between 2001 and 2021 were retrieved from the Web of Science Core Collection (WOSCC) database. CiteSpace 5.8. R1, VOSviewer 1.6.16, and Excel 2019 software tools were used to conduct this bibliometric study.ResultsIn total, 159 articles and reviews were analyzed. The number of publications has been increased sharply since 2018. David D. McManus had the largest number of publications. The most prolific country was the USA with 54 publications but the centrality was <0.1. The most prolific institution was Northeastern University. Three clusters were formed based on keywords: The first cluster was composed of atrial fibrillation, depression, anxiety, symptoms, ablation, and quality of life, et al. The second cluster were risk, prevalence, mortality, heart failure, association, et al. While the third cluster included anticoagulation, impact, stroke, management, warfarin, et al. After 2019, stroke and prediction are the keywords with strongest citation bursts.ConclusionResearch on AF and depression is in its infancy. Cooperation and exchanges between countries and institutions must be strengthened in the future. The effect of depression on prevalence and mortality in AF, depression on ablation in AF, and impact of depression on anticoagulation treatment in AF have been the focus of current research. Stroke prevention (including anticoagulant therapy) is the research frontier, which may still be the focus of research in the future.

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“…Currently, global trends in ECT for depressive disorders are unclear. Bibliometrics is a comprehensive analysis method, which can fill this gap by analyzing publications to qualitatively and quantitatively assess the contributions of countries, institutions, and authors in the field and predict future research trends ( Chen et al, 2014 ; Wang et al, 2021 ). This study aims at investigating global research trends in ECT for depressive disorders over the past 10 years and at predicting future research hotspots within the field through bibliometric and visual analysis.…”

Section: Introductionmentioning

confidence: 99%

Association between electroconvulsive therapy and depressive disorder from 2012 to 2021: Bibliometric analysis and global trends

Cai

Yang

et al. 2022

Front. Hum. Neurosci.

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BackgroundDepressive disorder is a chronic mental illness that is vulnerable to relapse, imposes a huge economic burden on society and patients, and is a major global public health problem. Depressive disorders are characterized by depressed mood, decreased energy and interest, and suicidal ideation and behavior in severe cases. They can be treated through pharmacotherapy and psychotherapy or physical treatments such as electroconvulsive therapy (ECT). In patients with suicidal ideation, behavior, or refractory depressive disorder ECT has a faster onset of action and better efficacy than pharmacotherapy. This study used bibliometric and visual analyses to map the current state of global research on ECT for depressive disorder and to predict future research trends in this area.Materials and methodsA literature search was performed for studies on ECT and depressive disorder in the Web of Science Core Collection (WoSCC) database. All studies considered for this paper were published between 2012 and 2021. Bibliometric and co-occurrence analyses were performed using the CiteSpace software.ResultsIn total, 2,184 publications were retrieved. The number of publications on ECT and depressive disorder have been increasing since 2012, with China being a emerging hub with a growing influence in the field. Zafiris J. Daskalakis is the top author in terms of number of publications, and The Journal of ECT is not only the most published journal but also the most co-cited journal in the field. Co-occurrence analysis showed that electroconvulsive therapy, treatment-resistant depression, bipolar disorder, hippocampus, efficacy, and electrode placement are current research hotspots. Molecular biomarkers, neuroimaging predictors, and late-life depression will become research hotspots in the future.ConclusionOur analysis made it possible to observe an important growth of the field since 2012, to identify key scientific actors in this growth and to predict hot topics for future research.

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Evolution and Emerging Trends in Depression Research From 2004 to 2019: A Literature Visualization Analysis

Cited by 28 publications

References 92 publications

Schizophrenia and Inflammation Research: A Bibliometric Analysis

Schizophrenia and Inflammation Research: A Bibliometric Analysis

Atrial Fibrillation and Depression: A Bibliometric Analysis From 2001 to 2021

Association between electroconvulsive therapy and depressive disorder from 2012 to 2021: Bibliometric analysis and global trends

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