Artículos

Background: This study aims to comprehensively examine the academic development of shoulder dystocia (SD) through bibliometric and document analysis and to identify topics that can guide future research. Methods: In this study, performance, co-citation, co-word, and document analyses were used as bibliometric analysis techniques. Results: The study identified 3 main themes in terms of the intellectual structure of Shoulder Dystocia (SD): “Management of SD, Risk Factors and Associated Complications,” “Clinical Practices, Birth Abnormalities and Effects of Complications,” and “Impact of Education, Clinical Maneuvers and Fetal Health Outcomes.” Co-occurrence analysis identified 4 significant themes: “Management and Clinical Practice of SD,” “Fetal Macrosomia and Risk Factors,” “Obstetric Maneuvers and Brachial Plexus Injury,” and “Clinical Trends and Risks in SD.” Additionally, ten consolidated themes were identified as a result of thematic coding analysis. Conclusion: Shoulder dystocia remains a critical component of obstetric practice. Themes such as training and simulation, risk factors, and technical and management approaches are consistently emphasized. Technological advances and studies on how machine learning techniques can be used effectively in this field reflect innovative approaches in the scientific literature. This analysis confirms that shoulder dystocia is a complex topic requiring a multidisciplinary approach and that research in this field is constantly evolving.

Objective: to analyze the profile of scientific production on nursing technology construction, validity and application. Methods: this is a bibliometric study, carried out in six databases, based on the Methodi Ordinatio application, arranged in nine stages. To represent the findings, the VOSviewer® software was used. Results: 346 studies were identified, obtained from BDENF, CINAHL, EMBASE, LILACS, PubMed/MEDLINE, Scopus and Web of Science. There was a predominance of the English language, and 20% of the authors hold more than 25% of studies. Only two journals account for 25% of studies in the period studied. Twenty-six studies were selected for the InOrdinatio classification. Nursing Process (23%) stood out among the studies. The most produced technology was software (27%), and 50% of works describe construction and validity. Conclusions: there is an emphasis on the creation of educational technologies, especially information technology. The data demonstrates opportunities for future research in the area.

Reflecting on the complexity and impacts of determination of the causal relationship between health problems of workers and the exercise of their work activities, there is a need to learn about scientific articles that expose techniques to determine this type of causal relationship. There is also a need to reveal whether any article exposes multicriteria decision analysis technique. The aim is to quantify the techniques used to determine the causal relationship between health problems of workers and the exercise of their work activities. Bibliometric analysis was performed, searching for articles in Portuguese, Spanish and English. An advanced search was performed on the website of the ministerial journals portal and then on the Gale Academic OneFile, SciVerse Scopus, Scientific Electronic Library Online (SciELO) and PubMed Central collections. In summary, 38 articles were selected from portal, 50 from Gale Academic OneFile, 20 from SciVerse Scopus, 37 from SciELO and 5 from PubMed Central, totaling 150 articles of interest for analysis of their contents. Among these 150 articles, 33.33% addressed the causal relationship between illness and work, 3.33% described some process related to occupational diagnostic investigation and 0.66%, which represents only one article, exhibited a technique to determine this type of causal relationship: the probability of causality in neoplastic diseases. No article described multicriteria decision analysis method as a technique for determine this type of causal relationship. Therefore, there is a need to carry out and disseminate scientific research on methods to help determine a causal relationship between illness and work.

Background: Alzheimer’s disease (AD) is the predominant cause of dementia on a global scale, significantly impacting the health of the elderly population. The pathogenesis of AD is closely linked to neuroinflammation. The present study employs a bibliometric analysis to examine research pertaining to neuroinflammation and AD within the last decade, with the objective of providing a comprehensive overview of the current research profile, hotspots and trends. Methods: This research conducted a comprehensive review of publications within the Science Citation Index Expanded of the Web of Science Core Collection Database spanning the years 2014 to 2024. Bibliometric analyses were performed using VOSviewer (version 1.6.19) and CiteSpace (version 6.3.R1) software to visualize data on countries, institutions, authors, journals, keywords, and references. Results: A total of 3,833 publications on neuroinflammation and AD were included from January 2014 to January 2024. Publications were mainly from the United States and China. Zetterberg, Henrik emerged as the author with the highest publication output, while Edison, Paul was identified as the most cited author. The most productive journal was Journal of Alzheimers Disease, and the most co-cited was Journal of Neuroinflammation. Research hotspot focused on microglia, mouse models, oxidative stress, and amyloid-beta through keyword analysis. Additionally, keywords such as blood–brain barrier and tau protein exhibited prolonged citation bursts from 2022 to 2024. Conclusion: This study provides a comprehensive review of the last 10 years of research on neuroinflammation and AD, including the number and impact of research findings, research hotspots, and future trends. The quantity of publications in this field is increasing, mainly in the United States and China, and there is a need to further strengthen close cooperation with different countries and institutions worldwide. Presently, research hotspots are primarily concentrated on microglia, with a focus on inhibiting their pro-inflammatory responses and promoting their anti-inflammatory functions as a potential direction for future investigations.