Producción Científica

 

 

Aims: This study is designed to generalize and depict the research hotspots of endophthalmitis through bibliometric methods and software and analyze the evolutive tendency of the work on this severe disease over the past 30 years. Methods: This study employed a rigorous bibliometric approach. We identified all endophthalmitis-related literature by conducting a comprehensive search of the Science Citation Index Expanded database under the Web of Science Core Collection. The data was then analyzed and visualized using CiteSpace and VOSviewer, two widely recognized software tools in the field of bibliometrics. CiteSpace was used to analyze the country distributions, dual map overlay of journals, keyword bursts, and co-cited references. VOSviewer was employed to describe the authors and co-cited authors, the journals, the co-cited journals, and the keywords co-occurrence network. This robust methodology ensures the reliability and validity of the study’s findings. Results: A total of 2960 publications, including 2695 articles and 265 reviews, were included in this bibliometric study. There has been no shortage of endophthalmitis-related publications since 1993, with an apparent upward trend during recent years. Possible correlations with the COVID-19 pandemic are also analyzed. These studies were finished by 11,048 authors from 75 countries worldwide, with the United States in the lead. In the keyword co-occurrence network, except for the endophthalmitis term, cataract surgery becomes the keyword with the highest frequency. Different categories of endophthalmitis, including postoperative, post-injection, post-traumatic, and endogenous endophthalmitis, and antibacterial and anti-inflammatory therapies of infectious endophthalmitis, are discussed by categories. From the perspective of the timeline, postoperative and post-injection endophthalmitis were the dominant forms before and after the year 2000, respectively. Co-citation analyses reveal that the Endophthalmitis Vitrectomy Study (EVS) conducted in 1995 provides pivotal guidance for later research. Diverse pathogenic bacteria (e.g., Coagulase-negative Staphylococci, Propionibacterium acnes, Viridians Streptococci, and Bacillus cereus) or fungi (e.g., Candida, Aspergillus, and Fusarium) contribute to varying treatment principles and clinical prognosis, which should be taken seriously. In addition, intravitreal and intracameral antibiotics are the mainstay for treating and preventing infectious endophthalmitis, respectively. Conclusion: Our bibliometric analysis provides an overview of dynamic evolution and structural relationships in the research field of endophthalmitis. The displayed hotspots and developmental directions have reference values for future investigation.

 

 

Background: Globally, the incidence rates of obesity and its related diseases, such as cardiovascular diseases and type 2 diabetes, are continuously rising, posing a significant public health challenge. Studies have indicated a potential correlation between vitamin D deficiency and obesity. However, a quantitative analysis of the studies related vitamin D and obesity is lacking. This investigation aims to fill this gap by providing a comprehensive bibliometric analysis to uncover the collaborative networks, research hotspots, and evolutionary trends within the field of vitamin D and obesity research. Methods: This study retrieved literature related to vitamin D and obesity from the Web of Science database spanning from 2000 to 2023. Bibliometric analysis was conducted using tools such as HistCite, VOSviewer, and CiteSpace to excavate multi-dimensional information including countries, institutions, authors, journals, citations, and keywords. Results: A total of 6,144 records were retrieved, involving 123 countries, 6,726 institutions, and 28,156 authors, published in 1,551 journals. The number of published papers and citations showed a generally increasing trend. The United States led in terms of publication volume and influence, with journals such as Nutrients and Obesity Surgery having the highest publication counts. Nasser M. Al-Daghri was the most prolific and influential author. Keyword clustering revealed that research topics covered metabolic health, nutrition, immunity, and bariatric surgery. Citation burst analysis indicated a shift in research focus from the relationship between dietary calcium and obesity to the preventive effects of vitamin D supplementation on metabolic diseases. Conclusion: The application of bibliometric methods to analyze the research literature in the fields of obesity and vitamin D has provided a comprehensive understanding of the collaborative networks, key research focus, and evolutionary trends in this field, offering insights for guiding future research directions.

 

 

Introduction: With the discovery of extracorporeal membrane oxygenation (ECMO), it is considered as a valuable tool for supporting the treatment of severe acute respiratory distress syndrome (ARDS). It has gained increasing attention, particularly during the COVID-19 epidemic. However, to date, no relevant bibliometric research on the association between ECMO and ARDS (ECMO-ARDS) has been reported. Our study aimed to summarize the knowledge structure and research focus of ECMO-ARDS through a bibliometric analysis. Method: Publications related to ECMO-ARDS from 2000 to 2022 were obtained from the Web of Science Core Collection (WoSCC). Research data underwent bibliometric and visual analysis by using CiteSpace, VOSviewer, and one online analysis platform. By analyzing the countries, institutions, journals, authors, the geographic distribution of research contributions as well as the leading institutions and researchers in this field were identified. Additionally, prominent journals and highly cited publications were highlighted, indicating their influence and significance in the field. Moreover, the co-citation references and co-occurring keywords provided valuable information on the major research topics, trends, and potential emerging frontiers. Results: A total of 1,565 publications from 60 countries/regions were retrieved. The annual publication number over time revealed exponential growth trends (R2 = 0.9511). The United States was dominant in ECMO-ARDS research, whereas the Univ Toronto was most productive institution. Prof Combes A published the most publications in this area. ASAIO Journal and Intensive Care Medicine were the most active and co-cited journals, respectively. Reference co-citation analysis showed that current research focus has shifted to COVID-related ARDS, multi-center studies, as well as prone positioning. Apart from the keywords “ECMO” and “ARDS”, other keywords appearing at high frequency in the research field were “COVID-19”, “mechanical ventilation”, “extracorporeal life support”, “respiratory failure”, “veno-venous ECMO”, “SARS-CoV-2”, “outcome”. Among them, keywords like “mortality”, “veno-venous ECMO”, “epidemiology”, “obesity”, “coagulopathy”, “lung ultrasound”, “inhalation injury”, “noninvasive ventilation”, “diagnosis”, “heparin”, “cytokine storm” has received growing interest in current research and also has the potential to continue to become research hotspots in the near future. Conclusion: This bibliometric analysis offers a comprehensive understanding of the current state of ECMO-ARDS research and can serve as a valuable resource for researchers, policymakers, and stakeholders in exploring future research directions and fostering collaborations in this critical field.

 

 

To address the theory-practice gap in knowledge management research, we identify the most persistent knowledge management challenges and proposed solutions over the past three and a half decades (1991–2023). Based on a systematic literature review combining a bibliometric and a qualitative content analysis, we conceptualise a genealogic (evolutionary) model to map the historical development path of three reappearing root challenges: (1) organisational antecedents to implement a knowledge-sharing culture (2) use of ICT for knowledge transfer and (3) knowledge conversion. We find that while topics 1 and 2 are established topics, topic 3 constantly renews itself by merging with innovation-related research streams. Further, our analysis reveals the general principle that the theory-practice gap opens at the end of the inception phase of a new challenge theme. We conclude that implementing artificial intelligence in knowledge management processes and fostering knowledge creation for sustainable development are the key topics for future research.

 

 

Our study aims to identify effective activities to enhance student retention and promote student success in higher education institutions (HEIs) by reviewing the factors that affect student retention through a literature review. Our study used a systematic review with the bibliometric method to analyze 125 articles related to the retention of students in higher education from 2014 to 2022. We used PCA and network analysis to identify and describe three research fronts of activities to student retention in higher education, two of which are from the perspective of the higher education institution (HEI) and focus on actions for retention to reduce student dropout and activities developed for student success. The third research front is centered on the student, seeking to understand what can lead to persistence in finishing their course. Our bibliometric study enabled us to identify the works and themes that have influenced current research on retention in higher education. By analyzing the bibliographic coupling component, our study provides insights into the research streams in higher education and highlights areas that require further investigation.

 

 

Virtual reality’s (VR) applications in education have been a topic of interest to the academia in recent years. Although literature expands significantly worldwide, the focus on education still presents a high number of opportunities to explore. In Latin America, the literature regarding the use of virtual reality is limited and not yet systematized. Therefore, the present study aims to provide an overview of Latin America’s research publications regarding the use of VR in higher education. Using bibliometric measures and coding in Scopus and Web of Science (WoS) databases’ outputs, we analyzed 126 papers, the majority of them from social sciences, followed by engineering, business, and medicine. Content tree analysis resulted in 5 dimensions: ‘Functional aspects of using VR as a learning tool’, ‘Teaching strategies and methodologies using VR’, ‘Behavioral aspects of using VR as a learning tool’, ‘Outputs of VR use as an educational tool’ and ‘Competencies and readiness to use VR as a learning tool’. Most publications (74,6%) focus or present as one of the discussions the functional aspects of VR, such as access, viability, usefulness, virtual environment, the association with artificial intelligence, among others.

 

 

The gene delivery systems (GDS) for lung cancer (LC) has made significant progress over the past 12 years, yet, there is a great challenge in its clinical application due to low delivery efficiency. This study aims to explore research fields related to gene therapy for LC and predict future directions from a bibliometric perspective. The Web of Science Core Collection collects articles and reviews on GDS for LC published from 2010 to 2022. Comprehensive bibliometric and visual analyses were performed using CiteSpace, VOSviewer, R-Bibliometrix, and Microsoft Excel. The analysis showed that the number of publications on GDS for LC has been increasing over the past 12 years, highlighting the growing interest and research efforts in this area. A rigorous examination of keywords and research hotspots revealed that the themes such as “complex,” “transfection,” “RNA interference,” “extracellular vesicle,” “co-deliver,” “resistance,” etc. dominate the field of GDS for LC. These findings indicated that the research in GDS for LC is evolving, with a noticeable shift toward addressing challenges related to delivery efficiency, transfection methods, and overcoming resistance mechanisms in gene therapy. The comprehensive study provides an overview of the literature on GDS for LC and identifies areas that require further exploration and development. By highlighting emerging research hotspots, our bibliometric analysis offers valuable insights to scholars and researchers, aiding in the identification of gaps, and guiding future efforts toward the development of GDS with more efficiency for LC therapy.

 

 

Decision-making processes in the military domain constitute a strategic field of research in cognitive psychology, although there are currently few scientific publications addressing the topic. Professionals in the field and interested parties need access to data on military decision-making processes to understand where and how the scientific community is directing its investigations on the issue. Military decision-making is a strategic field of study because the military is crucial to the security and defense of a country or community. This work aims to be a point of reference for those involved in various capacities in military decision-making, providing key data regarding research trends over the years, the geographical distribution of scientific productivity, methodologies employed, annual statistics, and the prevalence of the most-investigated terms and topics. Therefore, this study serves as a bibliometric analysis of the literature on military decision-making publihed from 1992 to 2023 on the Scopus and Web of Science databases.

 

 

Wildfire prediction plays a vital role in the management and conservation of forest ecosystems. By providing detailed risk assessments, it contributes to the reduction of fire frequency and severity, safeguards forest resources, supports ecological stability, and ensures human safety. This study systematically reviews wildfire prediction literature from 2003 to 2023, emphasizing research trends and collaborative trends. Our findings reveal a significant increase in research activity between 2019 and 2023, primarily driven by the United States Forest Service and the Chinese Academy of Sciences. The majority of this research was published in prominent journals such as the International Journal of Wildland Fire, Forest Ecology and Management, Remote Sensing, and Forests. These publications predominantly originate from Europe, the United States, and China. Since 2020, there has been substantial growth in the application of machine learning techniques in predicting forest fires, particularly in estimating fire occurrence probabilities, simulating fire spread, and projecting post-fire environmental impacts. Advanced algorithms, including deep learning and ensemble learning, have shown superior accuracy, suggesting promising directions for future research. Additionally, the integration of machine learning with cellular automata has markedly improved the simulation of fire behavior, enhancing both efficiency and precision. The profound impact of climate change on wildfire prediction also necessitates the inclusion of extensive climate data in predictive models. Beyond conventional studies focusing on fire behavior and occurrence probabilities, forecasting the environmental and ecological consequences of fires has become integral to forest fire management and vital for formulating more effective wildfire strategies. The study concludes that significant regional disparities in knowledge exist, underscoring the need for improved research capabilities in underrepresented areas. Moreover, there is an urgent requirement to enhance the application of artificial intelligence algorithms, such as machine learning, deep learning, and ensemble learning, and to intensify efforts in identifying and leveraging various wildfire drivers to refine prediction accuracy. The insights generated from this field will profoundly augment our understanding of wildfire prediction, assisting policymakers and practitioners in managing forest resources more sustainably and averting future wildfire calamities.

 

 

Brain metastases challenge cancer treatments with poor prognoses, despite ongoing advancements. Immunotherapy effectively alleviates advanced cancer, exhibiting immense potential to revolutionize brain metastasis management. To identify research priorities that optimize immunotherapies for brain metastases, 2164 related publications were analyzed. Scientometric visualization via R software, VOSviewer, and CiteSpace showed the interrelationships among literature, institutions, authors, and topic areas of focus. The publication rate and citations have grown exponentially over the past decade, with the US, China, and Germany as the major contributors. The University of Texas MD Anderson Cancer Center ranked highest in publications, while Memorial Sloan Kettering Cancer Center was most cited. Clusters of keywords revealed six hotspots: ‘Immunology’, ‘Check Point Inhibitors’, ‘Lung Cancer’, ‘Immunotherapy’, ‘Melanoma’, ‘Breast Cancer’, and ‘Microenvironment’. Melanoma, the most studied primary tumor with brain metastases offers promising immunotherapy advancements with generalizability and adaptability to other cancers. Our results outline the holistic overview of immunotherapy research for brain metastases, which pinpoints the forefront in the field, and directs researchers toward critical inquiries for enhanced mechanistic insight and improved clinical outcomes. Moreover, governmental and funding agencies will benefit from assigning financial resources to entities and regions with the greatest potential for combating brain metastases through immunotherapy.