Producción Científica

Studying ferroptosis is crucial for understanding the mechanisms underlying the onset and progression of glioblastoma, identifying therapeutic targets, and improving prognosis assessment and diagnostic methods. While recent research has explored the link between ferroptosis and glioblastoma, there is a lack of comprehensive bibliometric analyses specifically addressing this relationship and its connection to glioblastoma. To address this gap, we conducted a thorough analysis of 225 relevant articles on glioma and ferroptosis obtained from the Web of Science database covering the period from 2012 to 2023, employing rigorous exclusion criteria. Visual and statistical analyses were performed using CiteSpace, VOSviewer, R Studio Plotting, and Scimago Graphica Beta. Our findings revealed a significant exponential growth in the number of studies during the last decade. China, the United States, and Germany made the most substantial contributions to research in this field, collectively accounting for 76.2 % of the total research output. Notably, Central South University, Shandong University, and Zhejiang University emerged as leaders in both literature production and research collaboration. Frontiers in Oncology stood out as the most prolific journal, encompassing a wide array of topics from molecular mechanisms to potential therapeutic strategies. Visual keyword analysis highlighted “tumor biology” “cell death mechanisms” and “gene expression and metabolic processes” as central themes in the research network. This study offers a comprehensive visual perspective on the global publication landscape of ferroptosis in glioma, providing valuable insights for researchers seeking to understand the current state of the field and identify potential directions for future studies.

There is currently no bibliometric analysis available regarding pain management (PM). The aim of this study was to monitor the advancement of the PM research field, demonstrate global productivity, identify the most highly cited studies, delineate collaborations between research areas and countries, and uncover new research topics and intriguing trends. A total of 16,216 articles on the subject of PM published between 1980 and 2023 were downloaded from the Web of Science database and analyzed using various bibliometric analysis methods. Trend keyword analysis, thematic evolution analysis, conceptual structure analysis, factor analysis, citation and co-citation analyses, and international collaboration analyses were conducted. The top 3 most active countries were the United States of America (n = 4021), the United Kingdom (n = 791), and Canada (n = 602). The most prolific author was Christine Miaskowski (n = 47). The most researched topics from the past to the present were chronic pain, opioids, analgesia/analgesics, cancer pain, postoperative pain, low back pain, opioid, cancer, acute pain, and self-management. Factor analysis identified key topics such as analgesia and various types of pain in the central factor, with additional subfactors including low back pain and physiotherapy, nursing, and postoperative anxiety and depression. In recent years, starting in 2020, trending research topics have shifted towards e-health, telemedicine, virtual reality, digital health, mental health, peripheral nerve blocks, erector spinae plane blocks, quadratus lumborum blocks, opioid use disorder, buprenorphine, musculoskeletal pain, COVID-19, cervicalgia, and interprofessional collaboration. In addition to Western countries with major economies in the field of PM (USA, Canada, Australia, and European countries), we identified China, India, and Turkey as research leaders. Our bibliometric analysis of 10,566 articles on PM reveals a significant growth in research, with recent trends focusing on e-health, telemedicine, virtual reality, and peripheral nerve blocks. These emerging technologies and personalized treatment approaches are shaping the future of PM.

OBJECTIVES: To conduct a comprehensive bibliometric analysis of the literature on artificial intelligence (AI) applications in orthodontics to provide a detailed overview of the current research trends, influential works, and future directions. MATERIALS AND METHODS: A research strategy in The Web of Science Core Collection has been conducted to identify original articles regarding the use of AI in orthodontics. Articles were screened and selected by two independent reviewers and the following data were imported and processed for analysis: rankings, centrality metrics, publication trends, co-occurrence and clustering of keywords, journals, articles, authors, nations, and organizations. Data were analyzed using CiteSpace 6.3.R2 and VOSviewer. RESULTS: Almost 83% of the 381 chosen articles were released in the last three and a half years. Studies were published either in highly impacted orthodontic journals and also in journals related to informatics engineering, computer science, and medical imaging. Two-thirds of the available literature originated from China, the USA, and South Korea. AI-driven cephalometric landmarking and automatic segmentation were the main areas of research. CONCLUSIONS: This report offers a thorough overview of the AI current trend in orthodontics and it highlights prominent research areas focused on increasing the speed and efficiency of orthodontic care. Furthermore, it offers insight into potential directions for future research. CLINICAL RELEVANCE: Collaborative research efforts will be necessary to strengthen the maturity and robustness of AI models and to make AI-based clinical research sufficiently reliable for routine orthodontic clinical practice.

Breast cancer is one of the most common cancers, increasingly prevalent also among working-age populations. Regardless of age, breast cancer has significant direct and indirect costs on the individuals, families and society. The aim of the research was to provide a comprehensive bibliometric analysis of the financial toxicity of breast cancer, to identify research voids and future research challenges. The systematic mapping of literature relied on a multi-method approach, combining bibliometric methods with a standard review/discussion of most important contributions. The analysis employed Bibliometrics in R and VosViewer. The results highlighted the key authors, journals and research topics in the investigation of the financial toxicity of cancer and stressed the concentration of work around several authors and journals. The results also revealed a lack of a comprehensive approach in the study of financial toxicity, as the literature often focuses on one or few selected aspects of financial toxicity. In addition, geographic coverage is uneven and differences in the healthcare systems represent a challenge to straightforward comparisons.