A bibliometric analysis of research on heart failure comorbid with depression from 2002 to 2021

Global research trends in traditional Chinese medicine therapy for acute leukemia: a comprehensive visualization and bibliometric analysis

BACKGROUND

The application of traditional Chinese medicine (TCM) therapy to acute leukemia has been intensively investigated. However, the bibliometric analysis in this field has not been performed. This bibliometric study aimed to comprehensively analyze the research trends and active areas of TCM therapy for acute leukemia from 2000 to 2023.

METHODS

We searched articles and reviews published between 2000 and 2023 that discussed TCM in acute leukemia from the Web of Science Core Collection (WoSCC). Knowledge mapping and bibliometric analysis were conducted using VOSviewer, CiteSpace software, and R-bibliometrix.

RESULTS

A total of 1,099 articles were included, with China, the United States, and Korea contributing the most papers. Most papers were published in the Journal of Ethnopharmacology. Meanwhile, China saw a steady increase in the number of publications. The three leading institutions that made outstanding contributions were the China Medical University, the Chinese Academy of Sciences, and the China Academy of Chinese Medical Sciences. Efferth Thomas, Liu Wei, and Liu Jie were the top three productive authors, with Efferth T receiving the most co-citations. The most frequently cited reference was Shen ZX (1997). In the analysis of keywords co-occurrence, 'survival,' 'risk factors,' 'nanoparticles,' and 'metabolism' are the active research topics.

CONCLUSION

This bibliometric study provides researchers with a comprehensive overview and significant value in understanding the development of TCM in acute leukemia treatment.

Living environment, service quality satisfaction and depression among Chinese older adults in elderly caring social organizations

BACKGROUND

Older adults living in elderly caring social organizations (SOs) are prone to suffer from depression. Many studies have found correlations between environmental and quality-of-life factors and depression; however, evidence from elderly caring SOs is rare, particularly in China.

METHODS

A cross-sectional study was conducted among service recipients in elderly caring SOs in Anhui and Chongqing, China. Data on demographic and health-related characteristics, living environment factors, and service quality satisfaction factors in 2171 older adults were used for analysis. The binary logistic regression model was conducted to estimate the association between living environment and service quality satisfaction factors and depression.

RESULTS

Our results indicated that living environment factors in terms of exposure to suitable temperature and humidity (OR = 0.655; 95 % CI: 0.446, 0.963), green coverage >30 % (OR = 0.432; 95 % CI: 0.337, 0.553) were associated with lower odds of developing depression. Also, an opposite relationship was found in the noise factor (OR = 1.985; 95 % CI: 1.395, 2.823). Higher satisfaction with admission and discharge services, dietary services, entertainment services, and psychological support services were also found to be associated with a lower risk of depression.

LIMITATIONS

A cross-sectional design precluded determining whether living environment, service quality satisfaction, and depression are causally related. Measurement of living environment factors and service quality satisfaction factors needs to be further clarified comprehensively.

CONCLUSIONS

Enhancing the living environment and the quality of the services provided to seniors in the elderly caring SOs is conducive to the reduction of the likelihood of depression.

A bibliometric analysis of ohmic heating on food processing in the last two decades

Novel food processing technologies have been devised to cater to the specific requirements of consumer products and tackle the challenges associated with conventional food processing technologies. Ohmic heating is a contemporary thermal-process technology with advantages for time efficiency, improved sensory and functional quality, and enhanced energy efficiency. This bibliometric investigation aimed to analyze the level of scholarly research on ohmic heating within the field of food research over the past twenty years (2003-2023). The findings indicate an upward annual growth rate of 11.09 % in the subject of food-related ohmic heating research. A total of 769 publications have been published, involving 1841 authors. Brazil is recognized as the nation with the most research contributions while Sastry, S.K., is the most productive author, and Teixeira, J.A. is the most collaborative author. Review studies examining the impact of ohmic processes on the nutritional composition of fruits, vegetables, and grains have garnered the highest number of citations. Innovative Food Science and Emerging Technologies and the Journal of Food Engineering have emerged as the most influential journals in this field. Keywords such as "ohmic heating," "electroconductive heating," and "joule heating" are commonly used in academic publications on the application of ohmic heating in the food industry. Recent trends in this field focus on aspects such as extraction procedures, pasteurization, physicochemical components, and energy usage. Ohmic heating has a bright future. Rapidly growing research shows strong interest, especially recently, because of attractive advantages such as energy efficiency and sustainability. International collaborations will expand its applications in the food industry. Challenges include high capital costs, maintenance, and unclear regulations. Future research should focus on cost-effective materials, thermal stability, food safety, and broader applications. With a clear path, the food industry can adopt ohmic heating technology as affordable and ecofriendly technology more efficiently.

Trends in Mental Health: A Review of the Most Influential Research on Depression in Children and Adolescents

BACKGROUND

Depression is a common mental disorder in children and adolescents, with a global prevalence of approximately 33%, severely affecting their physical, mental health, and academic performance. This study aims to identify and assess the 100 most-cited articles (T100 articles) on depression in children and adolescents.

METHODS

The T100 articles in the field of depression were retrieved from the SCI-E and SSCI databases. A comprehensive analysis of the T100 articles was conducted, including the number of citations, countries, journals, keywords, authors, and topics.

RESULTS

Between 1981 and 2021, T100 articles in child and adolescent depression received 423 to 3949 citations. Most articles originated from the USA, with Kovacs M as the top-ranked author. The University of Pittsburgh and Columbia University published the top two T100 articles. The T100 articles were published in 36 journals, led by AMA Psychiatry. Co-occurrence keywords analyses reveal six key foci: Pathogenesis of Depression, Treatment of MDD in Children, Early Childhood Treatment, Adolescent Depression Manifestations, Gender and Depression, and Primary Care Considerations, with pathogenesis as a future trend.

CONCLUSIONS

Our research presents an exhaustive list of the most highly cited articles on depression in children and adolescents. Our findings not only underscore the significance of international cooperation but also reveal a pressing need to prioritize and bolster preventive research, particularly the development and refinement of early screening and intervention programs.

Research progress analysis of live streaming commerce based on CiteSpace

In recent years, live streaming commerce (LSC) has become a popular research topic. However, current studies on LSC are relatively insufficient, and analyses have generally focused on its specific aspects, lacking a comprehensive and systematic perspective. Hence, this study utilises CiteSpace to undertake a visual bibliometric analysis aimed at delineating the knowledge framework and evolution of LSC and indicates future research directions to provide a comprehensive picture of the development of this dynamic field over the past six years. The results show that LSC is a thriving subject with several growing annual publications. Additionally, a strong collaboration exists between institutions and authors. Further, 'influence', 'consumer behaviour' and 'consumer purchase intention' are more popular in this domain and have assumed a leading position in recent research. Moreover, novel research trajectories have emerged, indicating interdisciplinary integration within the field. This study is innovative as it combines live streaming with commerce, analyses six years of literature, and builds an accurate and comprehensive knowledge framework within this domain. By identifying current gaps, this study contributes to the literature by addressing prior study limitations, enriching the knowledge base, providing crucial research directions for future exploration, and inspiring scholars to efficiently find research topics.

Status and trends of TMS research in depressive disorder: a bibliometric and visual analysis

Background

Depression is a chronic psychiatric condition that places significant burdens on individuals, families, and societies. The rapid evolution of non-invasive brain stimulation techniques has facilitated the extensive clinical use of Transcranial Magnetic Stimulation (TMS) for depression treatment. In light of the substantial recent increase in related research, this study aims to employ bibliometric methods to systematically review the global research status and trends of TMS in depression, providing a reference and guiding future studies in this field.

Methods

We retrieved literature on TMS and depression published between 1999 and 2023 from the Science Citation Index Expanded (SCIE) and Social Science Citation Index (SSCI) databases within the Web of Science Core Collection (WoSCC). Bibliometric analysis was performed using VOSviewer and CiteSpace software to analyze data on countries, institutions, authors, journals, keywords, citations, and to generate visual maps.

Results

A total of 5,046 publications were extracted covering the period from 1999 to 2023 in the field of TMS and depression. The publication output exhibited an overall exponential growth trend. These articles were published across 804 different journals, BRAIN STIMULATION is the platform that receives the most articles in this area. The literature involved contributions from over 16,000 authors affiliated with 4,573 institutions across 77 countries. The United States contributed the largest number of publications, with the University of Toronto and Daskalakis ZJ leading as the most prolific institution and author, respectively. Keywords such as "Default Mode Network," "Functional Connectivity," and "Theta Burst" have recently garnered significant attention. Research in this field primarily focuses on TMS stimulation patterns, their therapeutic efficacy and safety, brain region and network mechanisms under combined brain imaging technologies, and the modulation effects of TMS on brain-derived neurotrophic factor (BDNF) and neurotransmitter levels.

Conclusion

In recent years, TMS therapy has demonstrated extensive potential applications and significant implications for the treatment of depression. Research in the field of TMS for depression has achieved notable progress. Particularly, the development of novel TMS stimulation patterns and the integration of TMS therapy with multimodal techniques and machine learning algorithms for precision treatment and investigation of brain network mechanisms have emerged as current research hotspots.

Emerging global interest: Unraveling the link between diabetes mellitus and depression

BACKGROUND

Studies have shown a strong bidirectional association between diabetes and depression, with diabetes increasing the risk of developing depression and vice versa. Depression among patients with diabetes is associated with poor glycemic control, complications, and poor self-care.

AIM

To explore the present state of research globally concerning diabetes and depression, to aid understanding the current research landscape and identify potential future areas of research.

METHODS

A bibliometric approach was used, utilizing the Scopus database to gather pertinent research articles released from 2004 to 2023. Analyses encompassed publication patterns, significant contributors, research focal points, prevalent themes, and the most influential articles, aimed at discerning emerging research subjects.

RESULTS

A total of 3229 publications that met the search criteria were identified. A significant increase in the number of publications related to diabetes and depression has been observed in the past two decades. The most productive nation was the USA (n = 1015; 31.43%), followed by China (n = 325; 10.07%), the UK (n = 236; 7.31%), and Germany (n = 218; 6.75%). Three principal themes in research on depression and diabetes were delineated by the analysis. First, the exploration of the elevated prevalence and etiology of this comorbidity; second, the focus on interventions, particularly randomized controlled trials, aimed at enhancing diabetes management among individuals with depression; and finally, the investigation of the involved risk factors and biological mechanisms underlying this bidirectional relationship.

CONCLUSION

There has been a recent surge of interest in the relationship between diabetes and depression. This could aid researchers to identify areas lacking in the literature and shape future research.

Anemia in Heart Failure: A Perspective from 20-Year Bibliometric Analysis

Background & Objective

Anemia in patients with heart failure (HF) is a growing concern. However, there has no bibliometric analysis in this area up to now. The aim of this study is to explore the status and trends in the field of anemia in HF through the bibliometric analysis, and to provide an outlook on future research.

Methods

We retrieved publications from the Web of Science Core Collection database, and the following data analysis and visualization tools were utilized to perform data processing, statistical computing and graphics generation: VOSviewer (v.1.6.18), CiteSpace (v.6.2 R5), Scimago Graphica (v.1.0.36), Biblimatrix and Microsoft Excel.

Results

We identified a total of 3490 publications from 2004 to 2023. The publications in the field of anemia in HF are growing steadily. The United States, the United Kingdom, and Italy were the leading countries in this area. Stefan D Anker, as the most influential author, held the most total citations and publications. Harvard University was the most productive institution in this area. The European Journal of Heart Failure had published the most papers. Through the analysis of co-citations, 14 major clusters based on cluster labels were identified. Keyword analysis showed that mortality, outcome, prevalence, and risk were the most frequent keywords, and the potential research hotspots in the future will be intravenous iron and iron deficiency.

Conclusion

This study provides a comprehensive analysis of countries, authors, institutions, journals, co-cited references, and keywords in the field of anemia in HF through bibliometric analysis and data visualization. The status, hotspots and future trends in this field offer a reference for in-depth research. Further studies are necessary in the future to broaden the spectrum of research in this field, to evaluate comprehensive approaches to treating anemia in patients with HF, and to find rational targets for the management of anemia.

Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities

Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the intersection of graph theoretical approaches, neuroanatomy, and diverse neuroimaging modalities. A systematic search strategy was used that resulted in the retrieval of a comprehensive dataset of articles and reviews. Using CiteSpace and VOSviewer, a detailed scientometric analysis was conducted that revealed emerging trends, key research clusters, and influential contributions within this multidisciplinary domain. Our review highlights the growing synergy between graph theory methodologies and neuroimaging modalities, reflecting the evolving paradigms shaping our understanding of brain networks. This study offers comprehensive insight into brain network research, emphasizing growth patterns, pivotal contributions, and global collaborative networks, thus serving as a valuable resource for researchers and institutions navigating this interdisciplinary landscape.

Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis

Background

With the rapid development of technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis prediction of a variety of diseases, including cardiovascular disease. Facts have proved that AI has broad application prospects in rapid and accurate diagnosis.

Objective

This study mainly summarizes the research on the application of AI in the field of cardiovascular disease through bibliometric analysis and explores possible future research hotpots.

Methods

The articles and reviews regarding application of AI in cardiovascular disease between 2000 and 2023 were selected from Web of Science Core Collection on 30 December 2023. Microsoft Excel 2019 was applied to analyze the targeted variables. VOSviewer (version 1.6.16), Citespace (version 6.2.R2), and a widely used online bibliometric platform were used to conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field.

Results

A total of 4,611 articles were selected in this study. AI-related research on cardiovascular disease increased exponentially in recent years, of which the USA was the most productive country with 1,360 publications, and had close cooperation with many countries. The most productive institutions and researchers were the Cedar sinai medical center and Acharya, Ur. However, the cooperation among most institutions or researchers was not close even if the high research outputs. Circulation is the journal with the largest number of publications in this field. The most important keywords are "classification", "diagnosis", and "risk". Meanwhile, the current research hotpots were "late gadolinium enhancement" and "carotid ultrasound".

Conclusions

AI has broad application prospects in cardiovascular disease, and a growing number of scholars are devoted to AI-related research on cardiovascular disease. Cardiovascular imaging techniques and the selection of appropriate algorithms represent the most extensively studied areas, and a considerable boost in these areas is predicted in the coming years.

Research progress of mitochondria in chronic obstructive pulmonary disease: a bibliometric analysis based on the Web of Science Core Collection

Background

Due to its high morbidity and mortality, chronic obstructive pulmonary disease (COPD) has become a major global healthcare issue. Although there is abundant research regarding COPD, a bibliometric analysis of the literature related to mitochondria and COPD is lacking. Thus this study aimed to summarize the research status, research direction, and research hotspots of the published articles concerning COPD and mitochondria.

Methods

A literature search for included publications related to COPD and mitochondria was carried out on the Web of Science Core Collection from the date of database establishment to December 15, 2022. A subsequent bibliometric and visual analysis of the included publications was conducted via Microsoft Excel, R software, CiteSpace, and VOSviewer.

Results

A total of 227 published articles on COPD and mitochondria from 139 journals were included. Over the study period, the annual publication number and citation frequency in this field both showed a trend of continuous growth. The United States had the highest centrality and was the most productive country. The frequently occurring keywords were "oxidative stress", "obstructive pulmonary disease", "dysfunction", "mitochondria", "inflammation", and "cigarette smoke", among others. Recent research hotspots included autophagy, model, mitochondria, health, and extracellular vesicles (EVs). Despite an abundance and variety of research, there is still relatively little academic communications between scholars and institutions.

Conclusions

This bibliometric study can help researchers gain a quick overview of the research into mitochondria and COPD and thus inform novel ideas and directions for future research in this field.

[Latin American research in heart failure: visual and bibliometric analysis of the last 20 years]

Objective

To visually and bibliometrically analyze Latin American research on heart failure in the last 20 years.

Materials and methods

A bibliometric study using the Scopus database. A non-systematic search was carried out to collect data, which were analyzed using Bibliometrix, a tool of the R programming language.

Results

A total of 10204 documents were included in a period between 2003 to 2023. Of these, 66.9% (n=6824) corresponded to original articles, followed by review articles (15.5%; n=1583). International collaboration was present in 38.41% (n=3919) of the articles. Brazil stood out with the highest number of prolific authors and institutions (70% and 60%, respectively), consolidating its position as leader in the region, followed by Argentina and Mexico. These countries also presented the papers with the highest impact and most outstanding metrics.

Conclusions

This study identified a significant increase in heart failure research in Latin America over the last two decades, with Brazil, Argentina, and Mexico being the main drivers of this trend. Extensive and strong collaboration, mainly with high-income countries, appears to be critical to the momentum and the advancement of research in this area. Data systematization and resynchronization therapy are some of the topics of greatest interest at present.

A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022

Bibliometric analysis is a widely used technique for analyzing large quantities of academic literature and evaluating its impact in a particular academic field. In this paper bibliometric analysis has been used to analyze the academic research on arrhythmia detection and classification from 2005 to 2022. We have followed PRISMA 2020 framework to identify, filter and select the relevant papers. This study has used the Web of Science database to find related publications on arrhythmia detection and classification. "Arrhythmia detection", "arrhythmia classification" and "arrhythmia detection and classification" are three keywords for gathering the relevant articles. 238 publications in total were selected for this research. In this study, two different bibliometric techniques, "performance analysis" and "science mapping", were applied. Different bibliometric parameters such as publication analysis, trend analysis, citation analysis, and networking analysis have been used to evaluate the performance of these articles. According to this analysis, the three countries with the highest number of publications and citations are China, the USA, and India in terms of arrhythmia detection and classification. The three most significant researchers in this field are those named U. R. Acharya, S. Dogan, and P. Plawiak. Machine learning, ECG, and deep learning are the three most frequently used keywords. A further finding of the study indicates that the popular topics for arrhythmia identification are machine learning, ECG, and atrial fibrillation. This research provides insight into the origins, current status, and future direction of arrhythmia detection research.