Web Of Science Core Collection Research Articles

Research hotspots and frontiers of endoplasmic reticulum in glomerular podocytes: a bibliometric and visual analysis from 2005 to 2023.

The glomerular podocyte endoplasmic reticulum is a critical component in renal function, yet its research landscape is not fully understood. This study aims to map the existing research on podocyte endoplasmic reticulum by analyzing publications in the Web of Science Core Collection (WOSCC) from the past 19years. We conducted a bibliometric analysis using Citespace, VOSviewer, the Metrology Literature Online platform, and the Bibliometrix software package to visualize and interpret the data from WOSCC. The analysis focused on publication volume, authorship, institutional contributions, and research trends. The analysis revealed a significant growth in publications, indicating a surge in interest in podocyte endoplasmic reticulum research. Cybulsky, Andrey V, and Papillon, Joan emerge as the most prolific authors, and the Journal of the American Society of Nephrology is the leading journal in this field. China is the top contributor in terms of publications, with McGill University being the most productive institution. The research primarily focuses on endoplasmic reticulum stress, diabetic nephropathy, and apoptosis, with emerging trends in "foot cell apoptosis," "cell signaling pathways," and "autophagy." The findings highlight the expanding scope of podocyte endoplasmic reticulum research, with a particular emphasis on the mechanisms of endoplasmic reticulum stress and podocyte apoptosis. Future research directions may include the identification of specific therapeutic targets, detailed exploration of podocyte signaling pathways, and the role of autophagy. This study provides a comprehensive overview of the major research areas, frontiers, and trends in podocyte endoplasmic reticulum research, which are pivotal for guiding future investigations.

Deep brain stimulation and Parkinson disease: a bibliometric and visual analysis (1993-2023).

Deep brain stimulation (DBS) effectively treats Parkinson's disease (PD) motor symptoms, highlighting a gap in understanding current research trends and future directions. This study aims to analyze DBS literature systematically using bibliometric methods to map trends and identify opportunities. A total of 6,041 publications on DBS for PD from 1993 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) on July 24, 2023. A total of 3,518 documents were recorded at last. Microsoft Office Excel, CiteSpace, and VOSviewer were then used to carry out a scientometric analysis of the relevant literature according to seven bibliometric indicators: document type, countries/regions, institutions, authors, journals, most cited articles, and keywords. Research publications have significantly increased over the past three decades, especially after 2010. The United States, Germany, and France contributed the most research. Prolific authors included Okun, Lozano, and Moro. Udice-French Research Universities stands out among the many institutions. Movement Disorders led in both publication volume and citations. Highly-cited papers evaluated DBS comparisons and its effects on motor/non-motor symptoms. Key research areas included basal ganglia oscillations, cognitive effects, cost-effectiveness, and non-motor symptoms. This bibliometric analysis provides insights into the evolving DBS research landscape for PD, identifying key contributors, research gaps, and future directions. It aims to advance knowledge and improve patient outcomes and quality of life.

From disease management to prevention, hip prosthesis joint infections in the past 20 years: a global research trends and top 10 cited articles analysis.

There are few literatures comprehensively analyzed the global research in hip prosthesis joint infections (HPJI). We aim to clarify the global research trends and analysis the top 10 cited articles in the HPJI field. We identified the core collection of articles/reviews in the HPJI field from 2001 to 2021 through the Web of Science Core Collection (WOSCC). VOSviewer and online bibliometric tool were used to conduct the visualized and knowledge maps. Annual trends of publications, research hotspots and the top 10 cited articles were analyzed. A total of 5,477 publications were finally included. Generally, an increasing trend was observed in the number of publications from 2001 to 2021. The authors, journals and institutions with largest number of publications all belong to the USA. Co-occurrence analysis of keywords showed that surgical techniques, risk factors, revision surgery strategy, epidemiology, diagnoses and prevention were the 6 major research directions. Total hip arthroplasty, replacement, outcomes, risk factors and diagnosis were the keywords that occurred most frequently. The top 10 cited articles were all published in Journal Citation Reports (JCR) Q1 journals, providing valuable reference value from the perspectives of clinical guidelines, perioperative management, causes and diagnostic methods of infection, epidemiological investigation, risk factors and prognostic analysis. The number of publications in HPJI field had been on the rise over the past 20 years, from disease management to prevention. An intensive reading of the top 10 cited articles is beneficial to understand the focus of HPJI research comprehensively.

The research progress and prospects of circadian rhythm in obesity: a bibliometric analysis.

Numerous studies have shown a link between circadian rhythms disruptions and a higher risk of obesity. This article aims to conduct an extensive bibliometric analysis to deepen our understanding of the relationship between circadian rhythms and obesity. The literature related to the circadian rhythm of obesity, published from the inception of the Web of Science Core Collection (WoSCC) until June 30, 2024, was extracted from the WoSCC databases (SCIE, SSCI, ESCI). Using CiteSpace, Vosviewer, WPS, and other software, this paper examines the publication trends, including the number of papers, countries/regions, institutions, authors, journals, references, and keywords. A total of 2,870 articles were included in this analysis, revealing a consistent year by year increase in research on the circadian rhythm of obesity. These publications originate from 460 institutions in 88 countries. Among the authors analysis, Garaulet, Marta was the most prolific, and Turek FW was the most co-cited. Proceedings of the National Academy of Sciences of the United States of America emerged as the journal with the highest number of publications, and American Journal of Physiology had the highest centrality. The most frequently used keywords were "obesity," "circadian rhythm," "circadian clock," "metabolic syndrome," "metabolism." Additionally, research areas involving intermittent fasting, restricted feeding, and gut microbiota were rapidly developing and represented the forefront of research on circadian rhythms and obesity. Our study demonstrates that research on circadian rhythms in obesity has been rapidly expanding, with increasingly in-depth exploration of the topic. It is recommended to strengthen cooperation between countries and institutions to jointly promote research in this field. The gene expression of obesity is an early hotspot in the study of circadian rhythm and obesity, and emerging research areas such as intermittent fasting, restricted feeding, endothelial nitric oxide synthase and gut microbiota will become significant hotspots and trends in the field of circadian rhythm and obesity. These findings provide researchers critical directions for future studies and may have significant implications for clinical practice and public health policy.

Global research landscape and emerging trends of non-coding RNAs in prostate cancer: a bibliometric analysis.

Prostate cancer (PC) is the most frequently diagnosed cancer in men and continues to be a major cause of cancer-related mortality worldwide. In recent years, non-coding RNAs (ncRNAs) have emerged as a significant focus in molecular biology research, playing a pivotal role in the development and progression of PC. This study employed bibliometric analysis to explore the global outputs, research hotspots, and future trends in ncRNA-related PC research over the past 20years. Publications on PC-related ncRNAs from 2004 to 2023 were retrieved from Web of Science Core Collection. The co-operation network of countries, institutions, and authors on this topic was analyzed using CiteSpace (version 6.2. R6). In addition, co-occurrence analysis of keywords and co-citation analysis of references were performed using CiteSpace, and emergent detection was also performed. A total of 2,951 articles on PC-related ncRNAs were finally included in this study for analysis. China contributed the largest number of publications, while the United States was the most influential country in this field, with collaborative ties to 26 other countries. Fudan University was identified as the most active institution in this field. Rajvir Dahiya was the most prolific and influential author. Within the co-citation network, clusters labeled "EVs," "circRNA," and "ceRNA" represented current research directions. The cluster labeled "gene" dominated the co-occurrence keywords. "circRNA" showed the highest burst strength among keywords, with "circRNA," "EVs" and "exosome" maintaining sustained burst strength, suggesting these are the emerging research frontiers in this field. Investigating ncRNAs as pivotal research subjects in PC is essential for addressing the public health impact of the disease and advancing innovative diagnostic and targeted therapeutic strategies. This study provides a comprehensive bibliometric analysis of research related to PC-associated ncRNAs, delivering a scientific perspective and identifying potential research directions for scholars in this field.

Impacts of intestinal microbiota metabolite trimethylamine N-oxide on cardiovascular disease: a bibliometric analysis.

Trimethylamine N-oxide (TMAO), a metabolite dependent on intestinal microbiota, is closely related to the emergence, progression, and prognosis of cardiovascular disease (CVD), and has received increasing attention in recent years. The current research hotspots and future development trends in TMAO and CVD field are found through bibliometrics analysis, which provides reference for further study. The bibliometrics tools VOSviewer and CiteSpace were used to analyze the publications from the Web of Science Core Collection (WOSCC) database. The articles published from 2004 to 2024 about the relationship between TMAO and CVD were retrieved. Bibliometric analysis includes annual publications, countries/regions, institutions, authors and co-cited authors, journals and cited-journals, references and keywords. After searching and screening, 1,466 publications were included for subsequent bibliometric analysis. Since 2014, the number of publications exposing the relationship between TMAO and CVD has increased rapidly, as has the frequency of citations. China, USA and Italy are the countries that publish the most relevant research. Cleveland Clinic is the leading institution in this field. Stanley L Hazen, Zeneng Wang and W H Wilson Tang are the most prolific authors in this field, and the latter two have the closest academic cooperation. American Journal of Clinical Nutrition and Journal of the American Heart Association are influential journals that publish research in this field. "Gut Microbial Metabolite TMAO Enhances Platelet Hyperreactivity and Thrombosis Risk" is the most frequently cited article. Keyword analysis shows that gut microbiota, metabolism, phosphatidylcholine and atherosclerosis (AS) are the hotspots in this field. This study summarizes the research situation of TMAO and CVD in the past 20 years, focusing on the effect of TMAO on pathogenesis of AS, predictive value of TMAO on CVD risk, and dietary and drug intervention for TMAO. Probiotics and natural products may be the research focus of preventing and treating CVD by intervening TMAO in the future.

Mapping theme trends and recognizing hot spots in acute spinal cord injury:a bibliometric analysis.

Acute spinal cord injury causes severe motor and sensory dysfunction, significantly burdening individuals and society. This study uses bibliometric analysis to identify research trends and key areas, providing insights for future advancements in treatment. Scientific publications on acute spinal cord injury were collected from PubMed and the Web of Science Core Collection (WoSCC) between 2000 and 2022. Data were analyzed using Bibliometric, CiteSpace, and BICOMB, with gCLUTO applied for co-word bicluster analysis based on MeSH term matrices. 2,513 publications on acute spinal cord injury were published, with the number of articles increasing annually from 38 to 268. Spinal Cord has emerged as the leading journal in this field, and the United States maintains its dominant position in global research impact. The University of Toronto ranks first among research institutions, with significant contributions from researchers such as Fehlings and Kwon. Research on acute spinal cord injury primarily focuses on seven key areas: metabolism, pharmacology, surgical timing, rehabilitation, pathology, clinical predictors, and diagnostic imaging. Our study reveals substantial growth in acute spinal cord injury research over the past two decades, emphasizing leading countries, researchers, institutions, and journals. Animal models remain pivotal in drug development for basic medicine and neuroscience. Consensus has been reached among experts regarding the timing of surgical intervention, while artificial intelligence and multidisciplinary approaches are emerging as promising avenues for comprehensive treatment. Additionally, Ongoing research into spinal cord injury pathophysiology provides essential guidance for pharmacological and surgical treatments.

Gut microbiota and inflammasome-mediated pyroptosis: a bibliometric analysis from 2014 to 2023.

The role of gut microbiota in inflammatory disease development and progression has been recognized more recently. Inflammasome-mediated pyroptosis in involved in these diseases. This complex relationship between gut microbiota and inflammasome-mediated pyroptosis provides an important field of research. Bibliometric analysis provides a comprehensive understanding of this relationship, offering valuable insights into emerging research trends. Leveraging data spanning from 2014 to 2023 sourced from the Web of Science Core Collection, our analysis was conducted using advanced tools such as SCImago Graphica, VOSviewer, and CiteSpace software. Visualizations were created using GraphPad Prism software. We explored the nuanced aspects of research hotspots, collaborative networks, and developing trends in this field. A global bibliometric analysis identified 520 relevant studies spanning 41 countries and 887 institutions. Over the past decade, publication trends have shown consistent growth, with China and the United States leading the research output. Southern Medical University and Nanjing Medical University in China emerged as leading institutions in this filed. Prominent contributors include Jia Sun, Yuan Zhang, Wei Chen, Jing Wang, and Hongtao Liu from China, alongside Eicke Latz from Germany. High-impact journals such as Frontiers in Immunology and Nature Communications have been pivotal in disseminating research in this domain. Keyword analysis highlighted a primary focus on gut microbiota, NLRP3 inflammasome, pyroptosis pathways, and inflammatory diseases, themes that persist in recent studies. Furthermore, burst keyword analysis identified "butyrate" as the sole term currently experiencing a marked increase in research interest. Research has been deeply focused on the gut microbiota and inflammasome triggered pyroptosis in years. Over the past decade, the exploration of how gut microbiota and NLRP3 or NLRP6 inflammasome-mediated pyroptosis has been an area of interest. Future investigations in this filed may primarily revolve around understanding the correlation between butyrate and NLRP3 inflammasome induced pyroptosis in relation to conditions. However, an in-depth analysis, through studies is crucial to uncover and elucidate the complex mechanisms linking these elements.

Bibliometric mapping of mesenchymal stem cell therapy for bone regeneration from 2013 to 2023.

Mesenchymal stem cells (MSCs) have shown significant potential in bone regeneration and regenerative medicine in recent years. With the advancement of tissue engineering, MSCs have been increasingly applied in bone repair and regeneration, and their clinical application potential has grown through interdisciplinary approaches involving biomaterials and genetic engineering. However, there is a lack of systematic reviews summarizing their applications in bone regeneration. To address this gap, we analyzed the latest research on MSCs for bone regeneration published from 2013 to 2023. Using the Web of Science Core Collection, we conducted a literature search in December 2024 and employed bibliometric tools like CiteSpace and VOSviewer for a comprehensive analysis of the key research trends. Our findings focus on the development of cell engineering, highlighting the advantages, limitations, and future prospects of MSC applications in bone regeneration. These insights aim to enhance understanding of MSC-based bone regeneration, inspire new research directions, and facilitate the clinical translation of MSC research.

Bibliometric Analysis of Neuroinflammation and Postoperative Cognitive Dysfunction.

The occurrence and development of postoperative cognitive dysfunction (POCD) are closely linked to neuroinflammation. This bibliometric analysis aims to provide novel insights into the research trajectory, key research topics, and potential future development trends in the field of neuroinflammation-induced POCD. The Web of Science Core Collection (WoSCC) database was searched to identify publications from 2012 to 2023 on neuroinflammation-induced POCD. Bibliometric analysis, involving both statistical and visual analyses, was conducted using CiteSpace, VOSviewer, and the R software. Research on neuroinflammation-induced POCD has exhibited an increasing trend over the past 12 years. China had the highest number of publications, Nanjing Medical University had the most collaboration with other institutions, Zhiyi Zuo was the most published author, and the Journal of Neuroinflammation served as the primary publication in the field of neuroinflammation-induced POCD. The most frequent keyword was POCD. Keyword clustering analysis indicated that the predominant cluster is dexmedetomidine. Burst detection revealed that postoperative delirium (POD), perioperative neurocognitive disorders (PND), apoptosis, and epigenetic modifications were the future research trends. Our analysis identified the following key research areas associated with neuroinflammation-induced POCD: anesthesia, surgery, dexmedetomidine, NLRP3 inflammasome, and mechanism of neuroinflammation-induced POCD. The potential future research topics comprise POD, PND, apoptosis, and epigenetic modifications.

Community Integration of Disability: A Bibliometric and Knowledge-Map Analysis.

Community integration (CI) is the ultimate goal of rehabilitation for individuals with disabilities. It plays a significant role in restoring their social functioning and facilitating their reintegration into community and family life. However, no studies have utilized bibliometric methods to explore community integration. To conduct a review about community integration of disabilities and to clarify the knowledge, hotspots, and trends through the bibliometric method. Studies on community integration from 1990 to 2023 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace 6.2.R4 and Microsoft Office Excel 2019 were applied. The CiteSpace node types involved in this study include keyword, reference, cited author, cited Journal, and the dual-map overlay of journals. CiteSpace presented the keyword cluster map, keywords timeline view map, keywords bursts map, and overlay map of journals. Microsoft Office Excel 2019 was used to present the trend of annual publications and draw up related tables and figures. A total of 2239hits were included. The number of publications related to community integration is increasing gradually. The three most frequent keywords is Brain Injury (571, 13%), Individuals (488, 11%), Quality of Life (434, 10%). Keyword cluster map and timeline map with eight clusters were obtained, and the current strongest citation burst keywords are social participation, substance use, experiences, interventions, and Afghanistan. Willer is the author with the most citations. McColl has the largest centrality in the first ten cited authors. The most cited reference is published by the World Health Organization (WHO). Archives of Physical Medicine and Rehabilitation is the journal with the highest co-citation frequency. The overlay map of journals presented four distinct paths: the journals in "psychology education, health" and "neurology, sports, ophthalmology" often cite journals in "health, nursing, medicine" and "psychology, education, social". Community integration for individuals with disabilities is gradually becoming a hot topic. Research on community integration related to traumatic brain injury (TBI), stroke, children, and spinal cord injuries is current focus of community integration. Future research should explore the experiences and feelings of different groups of disabilities regarding community integration and develop more effective interventions for their community integration. Community integration is complex, and future research on community integration for individuals with disabilities needs to be explored more specifically.

Bibliometric analysis of research on the application of deep learning to ophthalmology.

Recently, deep learning has become a popular area of research, and has revolutionized the diagnosis and prediction of ocular diseases, especially fundus diseases. This study aimed to conduct a bibliometric analysis of deep learning in the field of ophthalmology to describe international research trends and examine the current research directions. This cross-sectional bibliometric analysis examined the development of research on deep learning in the field of ophthalmology and its sub-topics from 2015 to 2024. Visualization of similarities (VOS)-viewer was used to analyze and evaluate 3,055 articles. Data from the articles were collected on a specific date (September 11, 2024) and downloaded from the Web of Science Core Collection (WOSCC) in plain-text format. A total of 3,055 relevant articles on the WOSCC published from 2015 to 2024 were included in this analysis. The first article on the application of deep learning to ophthalmology was published in 2015, and the number of articles on the subject has grown significantly since 2019. China was the most productive country (n=1,187), followed by the United States (n=673). Sun Yat-sen University was the institution with the most publications. Cheng and Bogunovic were the most frequently published authors. The following four different clusters were identified based on a co-occurrence cluster analysis of high-frequency keywords: (I) deep learning for the segmentation and feature extraction of ophthalmic images; (II) deep learning for the automatic detection and classification of ophthalmic images; (III) application of deep learning to ophthalmic imaging techniques; and (IV) deep learning for the diagnosis and management of ophthalmic diseases. The analysis of fundus images and the clinical application of deep learning techniques have emerged as prominent research areas in the field of ophthalmology. The substantial increase in publications and citations signifies the expanding impact and global collaboration in the application of deep learning research to ophthalmology. By identifying four distinct clusters representing sub-topics in deep learning ophthalmology research, this study contributes to the understanding of current trends and potential future advancements in the field.

Global Trends in Research of Amino Acid Metabolism in T Lymphocytes in Recent 15 Years: A Bibliometric Analysis

Amino acid metabolism in T cells determines the therapeutic efficacy of T‐cell‐targeting drugs. To assess the direction of amino acid metabolism in T cells and construct related knowledge structure, we performed a bibliometric analysis aiming at amino acid metabolism in T cells utilizing studies publicized in recent 15 years. Three hundred thirty‐seven related studies were downloaded from the Web of Science Core Collection (WoSCC), and the information on countries, institutes, and authors was collected and analyzed. In addition, the present research status and future trends were explored according to the results yielded from the analysis of cited references and keywords. This study revealed that publications regarding amino acid metabolism in T cells gradually increased each year. The USA is the top producer and most influential country in this field. Recent research has focused on the correlation between the metabolism of several amino acids and regulatory T cells (Tregs) and CD8+ T cells. Overall, this research offers a comprehensive exhibition on the field of amino acid metabolism in T cells, which will help researchers to study this domain more effectively and intuitively.

Evolutionary patterns and research frontiers of artificial intelligence in age-related macular degeneration: a bibliometric analysis.

Age-related macular degeneration (AMD) represents a significant clinical concern, particularly in aging populations, and recent advancements in artificial intelligence (AI) have catalyzed substantial research interest in this domain. Despite the growing body of literature, there remains a need for a comprehensive, quantitative analysis to delineate key trends and emerging areas in the field of AI applications in AMD. This bibliometric analysis sought to systematically evaluate the landscape of AI-focused research on AMD to illuminate publication patterns, influential contributors, and focal research trends. Using the Web of Science Core Collection (WoSCC), a search was conducted to retrieve relevant publications from 1992 to 2023. This analysis involved an array of bibliometric indicators to map the evolution of AI research in AMD, assessing parameters such as publication volume, national/regional and institutional contributions, journal impact, author influence, and emerging research hotspots. Visualization tools, including Bibliometrix, CiteSpace and VOSviewer, were employed to generate comprehensive assessments of the data. A total of 1,721 publications were identified, with the USA leading in publication output and the University of Melbourne as the most prolific institution. The journal Investigative Ophthalmology & Visual Science published the highest number of articles, and Schmidt-Eerfurth emerged as the most active author. Keyword and clustering analyses, along with citation burst detection, revealed three distinct research stages within the field from 1992 to 2023. Presently, research efforts are concentrated on developing deep learning (DL) models for AMD diagnosis and progression prediction. Prominent emerging themes include early detection, risk stratification, and treatment efficacy prediction. The integration of large language models (LLMs) and vision-language models (VLMs) for enhanced image processing also represents a novel research frontier. This bibliometric analysis provides a structured overview of prevailing research trends and emerging directions in AI applications for AMD. These findings furnish valuable insights to guide future research and foster collaborative advancements in this evolving field.

Mapping the research landscape on temporomandibular disorders and orthodontics treatment: A bibliometric analysis.

Temporomandibular disorders (TMD) and orthodontic treatment are significant areas within dental and maxillofacial research. However, comprehensive bibliometric analyses highlighting global trends and collaboration networks are lacking. This study aims to systematically map the publication landscape, identify prevailing research trends, highlight influential authors and institutions, and illuminate emerging topics in TMD and orthodontic research. Publications concerning TMD and orthodontic treatment from 2000 to 2024 were retrieved from the Web of Science Core Collection. A bibliometric analysis was conducted using VOSviewer, CiteSpace, and R to evaluate co-authorship networks, institutional collaborations, and keyword co-occurrence patterns. A total of 871 publications were identified, with an average annual growth rate of 4.4 %. Contributions came from 47 countries and involved 3,463 authors, with the USA and Japan leading in citations. Notable institutions included Kyung Hee University and Baylor University. Key journals included the American Journal of Orthodontics and Dentofacial Orthopedics and the Journal of Oral and Maxillofacial Surgery. Frequently occurring keywords were "temporomandibular-joint," "orthognathic surgery," and "orthodontic treatment," indicating essential research foci. Emerging trends highlighted advancements in surgical techniques and technological innovations in orthodontics. This bibliometric analysis offers valuable insights into global research trends and hotspots in TMD and orthodontic treatment, emphasizing the collaborative nature of the field and illuminating emerging areas for future investigation.

Bibliometric Analysis of Alzheimer's Disease and Depression.

The link between Alzheimer's disease and depression has been confirmed by clinical and epidemiological research. Therefore, our study examined the literary landscape and prevalent themes in depression-related research works on Alzheimer's disease through bibliometric analysis. Relevant literature was identified from the Web of Science core collection. Bibliometric parameters were extracted, and the major contributors were defined in terms of countries, institutions, authors, and articles using Microsoft Excel 2019 and VOSviewer. VOSviewer and CiteSpace were employed to visualize the scientific networks and seminal topics. The analysis of literature utilised 10,553 articles published from 1991 until 2023. The three countries or regions with the most publications were spread across the United States, China, and England. The University of Toronto and the University of Pittsburgh were the major contributors to the institutions. Lyketsos, Constantine G., Cummings, JL were found to make outstanding contributions. Journal of Alzheimer's Disease was identified as the most productive journal. Furthermore, "Alzheimer's", "depression", "dementia", and "mild cognitive decline" were the main topics of discussion during this period. Data were searched from a single database to become compatible with VOSviewer and CiteSpace, leading to a selection bias. Manuscripts in English were considered, leading to a language bias. Articles on "Alzheimer's" and "depression" displayed an upward trend. The prevalent themes addressed were the mechanisms of depression-associated Alzheimer's disease, the identification of depression and cognitive decline in the early stages of Alzheimer's, alleviating depression and improving life quality in Alzheimer's patients and their caregivers, and diagnosing and treating neuropsychiatric symptoms in Alzheimer. Future research on these hot topics would promote understanding in this field.

Telessaúde na assistência ao paciente por enfermeiros de prática avançada: revisão sistemática

Abstract Objective To analyze the results of application of telehealth in patient care by advanced practice nurses. Methos This is a systematic review of intervention studies, in accordance with recommendations from the JBI and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The search was conducted on August 23, 2023, using the descriptors “telemedicine”, “nurse practitioner”, “patient care” and related keywords. Seven databases were accessed, such as LILACS, PubMed®, CINAHL, Embase, Scopus, Cochrane Database of Systematic Reviews and Web of Science Core Collection. Clinical trials, randomized or not, pre-post testing or before and after studies, without restrictions on publication date or language, that answered the question/PICO “What is the result of the application of telehealth carried out by advanced practice nurses in patient care?”, were included. An analysis of methodological quality was carried out, only studies of moderate and high methodological quality were included, and it was not possible to perform a meta-analysis. Results A total of 15 articles were selected, with a population of adult patients, older adults and family members of children with chronic diseases. Interventions involved phone calls, combinations of different devices or programs for education, monitoring or counseling. In 12 studies, positive effects were identified for the primary outcomes: costs; self-management of care, caregiver satisfaction with health management; quality of life, comfort, adaptation to treatment, functional recovery, clinical indicators and vital signs. Conclusion The positive effects of using telehealth to obtain clinical data and care management and its safe use, evidenced in the present study, allow us to recommend it. PROSPERO Register: CRD42023465566

Worldwide research tendency and collaborations on models of necrotizing enterocolitis: bibliometric exploration over the past three decades

Background: Necrotizing enterocolitis (NEC) is a devastating disease affecting the gastrointestinal tract in premature infants with high mortality and morbidity. We aimed to analyze the research tendency and collaborations on models of NEC over the past three decades. Methods: Bibliometric variables of included articles were retrieved from the Web of Science Core Collection from 1994 to 2023. Visualized studies were performed via VOSviewer software. Statistical analysis was applied by using GraphPad Prism and Microsoft Excel. Result: A total of 255 original articles from 17 countries were included in this study. The number of articles increased significantly from 22 (the year 1994-2003) to 161 (the year 2014-2023) (P < 0.0001). Collaborations in regions and countries have increased significantly over time (P < 0.0001). Developed regions contributed most of the research. While rat (56.08%) held the leading position in all types of models, followed by mouse (30.20%), notably, the proportion of mouse model has increased significantly from 4.55% to 41.36%. Conclusion: This study might provide valuable insights into the model research of NEC. Research tendency has evolved to be collaborative and inclusive with more collaborations, broad model types, and studies from developing regions. However, the lack of an evident and robust pathophysiology mechanism will continue to make NEC a quite challenging case to decode, and research with strong evidence level and high quality is still required.

Medical imaging diagnosis of orthopedic prosthesis-associated infections: a narrative review.

Orthopedic prostheses have become increasingly prevalent in clinical practice in recent years. However, orthopedic prosthesis-associated infections (OPAI) have emerged as a serious complication associated with their use. Due to the variety of orthopedic implant types and the atypical clinical manifestations of OPAI, it is easy to cause delayed diagnosis and affect the prognosis of patients. The objective of this paper is to: (I) identify the potential imaging tools available to diagnose OPAI; (II) summarize the mechanisms and features by which each imaging modality can or cannot identify infection. All the published papers were obtained from PubMed and Web of Science Core Collection on 1 February 2024. The study included original articles and reviews published in English between 2014 and 2024. EndNote was used to remove duplicates. Two independent authors conducted a comprehensive review of the titles and abstracts of the remaining literature to assess their eligibility for inclusion. Following this initial screening, the authors meticulously analyzed the abstracts and examined the full texts to confirm their suitability for final inclusion. A total of 55 articles were finally included for this narrative review. This review mainly summarized and analyzed the diagnostic value of ultrasound (US), X-ray, computed tomography (CT), magnetic resonance imaging (MRI), and nuclear medicine for OPAI, evaluated the advantages and disadvantages of each imaging technology, and tried to illuminate the future direction of diagnostic imaging methods development in this field. Medical imaging has gained multidisciplinary recognition in the diagnosis of OPAI. Currently, there is an urgent need to establish large-scale, multicenter research projects. It is worth noting the key role of nuclear medicine diagnostic techniques and their unique metabolic information in the diagnosis of OPAI.

Emerging trends and new developments in global research on artemisinin and its derivatives.

The World Health Organization recommends the use of artemisinin (ART) and its derivatives for malaria treatment. Furthermore, these compounds exhibit encouraging pharmacological effects for the treatment of several diseases. Nevertheless, ongoing antimalarial treatment efforts have been significantly hindered by the emergence of drug resistance. A systematic evaluation and analysis of relevant studies may yield insights to help resolve this dilemma and reveal options for future research. The objective of this study was to provide researchers with a comprehensive synopsis of the advancements made in the study of ART and its significant derivatives, as well as to visually present the data and provide insightful observations that can inform subsequent investigations in this domain. We searched the Web of Science Core Collection for relevant studies published by December 31, 2023. The research hotspots and frontiers pertinent to this field in terms of countries, institutions, authors, journals, references, and keywords were ascertained through scientometric analysis via CiteSpace software. This study included an extensive assemblage of 12,985 data points, and the findings suggest that ART and its derivatives have garnered considerable interest among scientists. Prolonged international collaboration has fostered progress in this research field. "Antimalarials," "synthesis," "drug resistance," and "Plasmodium vivax" are areas of intense research. Potential areas for future investigations may include "proliferation," "oxidative stress," "pathways," and "mechanisms." This study offers a comprehensive compendium of the developments and trends in the relevant research field over the past fifty years. Since pharmaceutical drug synthesis can influence both drug efficacy and cost-effectiveness, ongoing efforts to improve drug synthesis are warranted. Although the advent of novel therapeutic approaches has partially mitigated drug resistance, further investigations into the underlying mechanisms are needed. While better treatments for malaria have been developed, the therapeutic potential of ART and its derivatives for numerous additional important diseases is also possible, and future research in this area can lead to dramatic improvements in health.