Objective To examine the research status and predict trends in ME research findings from 1997-2023 on a global scale. Methods Web of Science Core Collection database was searched for original articles on ME published between 1997 and 2023, and then analyzed using CiteSpace, VOSviewer and the Online Analysis Platform of Literature Metrology to map scientific knowledge. Results A total of 748 articles were eventually included. The number of ME publications increased year by year, with the USA being the most productive country. Osteoarthritis, MRI, medial meniscus posterior root repair, biomechanical evaluation, lateral meniscus allograft transplantation, radiographic joint space narrowing are the high frequency keywords in co-occurrence cluster analysis and cocited reference cluster analysis. Medial meniscus posterior root tear and lateral meniscus allograft transplantation are current and evolving research hotspots in citation burst detection analysis. Conclusions The understanding of ME has been improved significantly during the past decades. Current research focuses on optimizing surgical repair methods and obtaining long-term follow-up outcomes for medial meniscal posterior root repair and developing methods to reduce ME after lateral meniscal allograft, as well as they are the highlights of future research on ME.
With the increasing global burden of various cancer, an abundance of papers emerged every year in the research hotspots of oncology, covering a wide range of research types and topics. In order to facilitate interested readers to quickly grasp the frontier and hotspots of cancer research, it would be helpful to sort out and summarize the research topic in a timely manner. According to the classification of disciplines, we screened the Essential Science Indicators (ESI) hot papers released in 2019 for the ones in the oncology field, utilized methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation to further reveal the context and characteristics of research in the field of oncology, summarized the latest progresses and future directions in the field, and provided information and hints for the trajectory of future research. A total of 549 papers were included, which were mainly from the field of clinical medicine; the country with the most publications was the United States, while China ranked the fourth in terms of contribution; the research institution with the highest number of published papers was University of Texas system; N Engl J Med published the most papers, with contribution also from highly influential journals in the field of oncology such as Lancet Oncol, J Clin Oncol, JAMA Oncol and Cancer Discov. Oncology remained the most popular research topic in the medical research and spanned a wide spectrum of sub-topics. In this study, we demonstrated and sorted out research frontiers in the field of oncology in 12 different research directions including the basic cancer research, cancer epidemiology, and various tumors types related to different systems and organs.
Objective To understand the research status of social network analysis methods in the medicine and health field, help medical scientific research managers quickly understand the publication situation and research hotspots of the methods, and provide references for them to use social network analysis methods to enter deeper research. Methods PubMed, Web of Science, Springer Link, ScienceDirect, China National Knowledge Infrastructure, Wanfang and VIP databases were searched for related literature on social network analysis methods in the medical and health field from the establishment of databases to April 2022. Bibliometric analysis was used to analyze the included articles. Results A total of 432 articles were included, with 424 in Chinese and 8 in English. The included articles were published between 1993 and 2020, involving 154 journals and 913 key words. The number of documents increased rapidly at first, and then entered a stable stage. The hot research directions were the spread and prevention of diseases and the power of social support networks. Conclusions Although the number of applications of social network analysis methods in the medical and health field has increased year by year and the application flexibility has increased, the application depth is still lacking. Scientific researchers should dig deep into the research direction, combine theory with practice, and focus on innovation.
The SARS-CoV-2 has been spread to 26 countries around the world since its outbreak. By February 16, 2020, more than 68 000 people had been diagnosed with COVID-19. Researchers from all over the world have carried out timely studies on this public health emergency and produced a number of scientific publications. This review aims to re-analyze and summarize the current research findings in a timely manner to guide scholars in relevant fields to further SARS-CoV-2 research and assist healthcare professionals in their work and decision-making. The SARS-CoV-2 related terms were selected in both English and Chinese and were searched in several major databases, including Pubmed, Web of Science, CNKI, Wanfang, and VIP databases. The reference list of each search result was screened for relevance, which was further supplemented to the search results. The included studies were categorized by topics with key characteristics extracted, re-analyzed, and summarized. A total of 301 articles were finally included with 136 in Chinese and 165 in English. The number of publications has rapidly increased since mid-January, 2020, and a peak day was 6th February on which 50 articles were published. The top three countries publishing articles were China, the United States and the United Kingdom. The Lancet and its specialty journals have published the most articles, with contribution also from journals such as New England Journal of Medicine (NEJM), The Journal of the American Medical Association (JAMA), and Nature. All articles were categorized into epidemiology, clinical diagnosis and treatment, basic research, pregnant women and children, mental health, epidemic prevention & control, and others. The literatures related to SARS-CoV-2 are emerging rapidly. It is necessary to sort out and summarize the research topic in time, which has a good reference value for staff in different positions. At the same time, it is necessary to strengthen the judgment of the quality of literatures.
Objective To analyze the research status of immunonutrition in China based on Chinese databases, and to provide a reference for clinical practice and future research. Methods Literatures about the application of immunonutrition in nutrition support were searched in China National Knowledge Infrastructure, SinoMed, Chongqing VIP and Wanfang databases using bibliometrics methods. The retrieval time was up to August 2022, and the document characteristics such as the number of publications, the institutions and the citation frequency and other features were analyzed. Results A total of 725 literatures were included, with the highest number of literatures issued in 2015 and 2020, both 62. The areas with the most published literatures were Jiangsu (10.6%) and Guangdong (8.4%). The institutions with the most published literatures were General Hospital of Eastern Theater Command (4.8%) and West China Hospital of Sichuan University (3.9%). There were 78 dissertations and 647 journal articles in total. The most published journal was Parenteral & Enteral Nutrition (6.5%). The top three citations were all reviews. The degree of cooperation was 2.7, and the co-authorship rate was 70.1%. A total of 121 articles reported the supporting funds and projects. The research types included 499 original studies (68.8%) and 226 secondary studies (31.2%). The analysis of the subjects showed that immunonutrition was mostly applied to gastrointestinal diseases, especially gastrointestinal cancer patients, accounting for 42.5%. Nutritional support was divided into enteral nutrition and parenteral nutrition. Enteral nutrition was adopted in most literatures, accounting for 88.4%. Conclusions The research content of immunonutrition in Chinese database in China is relatively simple. Most of them focus on the comparison between immunonutrition and general nutrition support. The selection of immune nutrients and the application of immunonutrition in critically ill patients such as sepsis need further research.
ObjectiveTo analyze the research hotspots and progress of surgical treatment of myasthenia gravis. MethodsThe top 100 most cited articles on surgical treatment of myasthenia gravis were identified by searching the Web of Science database, and a bibliometric analysis was conducted. ResultsThe publication year of the top 100 most cited articles ranged from 1939 to 2021, and the number of citations ranged from 55 to 850 per article. Most of the included articles were original research articles (75/100), which were mainly retrospective studies (64/75). The United States was the country with the most published articles and most citations, and Annals of Thoracic Surgery was the most sourced journal (n=20). Through VOSviewer analysis, high-density keywords were thymectomy, maximal thymectomy, extended thymectomy, transcervical thymectomy, thymoma, and autoantibodies. ConclusionThe scope of surgical resection, surgical approach and pathogenesis are the current hotspots in the field of surgical treatment of myasthenia gravis. It is hoped that this paper can provide references for future researches in this field.
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
Objective To conduct a systematic bibliometric analysis of recent research on robot-assisted orthopedic surgery, in order to reveal the research trends, hotspots, main contributors, and future development directions in this field. Methods On August 27, 2024, WoSCC (Web of Science Core Collection Database) was searched and relevant literature on robot-assisted orthopedic surgery from 2003 to 2023 was included. Excel 2016, VOSviewer (version 1.6.10), and CiteSpace (version 6.2.R6) were used for data collection and analysis. Results The total citation frequency of 1718 retrieved literature was 28978 times, with an average citation frequency of 16.87 times per article. The total citation frequency of articles in 2019 was the highest (4330 times), and the publication volume in 2023 was the highest (315 articles). Among the top 5 countries in terms of publication volume, the United States had the highest publication volume and total citation frequency, while China ranked second in terms of publication volume, but had the lowest average citation frequency per article. Analysis of cooperation between countries showed that the United States, China, Germany, and other countries had the most cooperation. Babar Kayani’s articles were cited the most frequently. Among the top 10 institutions in terms of publication volume, the Hospital for Special Surgery (United States) had the highest publication volume, the Pennsylvania State System of Higher Education (United States) had the highest total citation frequency for publications, and the average citation frequency of each article published by the University of Pittsburgh (United States) was the highest. The dynamic evolution of research hotspots suggested that early research mainly focused on the combination of traditional surgical techniques and navigation, while in recent years, research had mainly focused on computer-aided surgery, augmented reality, and medical robotics technology. Conclusions In recent years, significant progress has been made in the research of robot-assisted orthopedic surgery, with the United States taking a leading position in this field and having extensive global cooperation. Research hotspots show that with the continuous development of computer-aided surgery, augmented reality, and robotics technology, the field of orthopedic surgery is evolving towards more precise, individualized, and minimally invasive directions.
Objective To analyze the current research application status and hotspots of nanoparticles in the treatment of non-small cell lung cancer (NSCLC) and predict the future development trend. MethodsThe Web of Science database was searched for literatures on nanoparticles use in the treatment of NSCLC from inception to November 2022. CiteSpace, VOSviewer and literature measurement analysis online platform (https://bibliometric.com/) were used for the visual analysis of the number of documents, source journals, authors, organizations, countries and keywords. ResultsA total of 742 English literatures were included. The results showed that the number of published literatures increased year by year from 2011 and reached the peak in 2020. Researches on nanoparticles and NSCLC treatment were mainly concentrated in China, the United States, India and Japan. China is a major research country in this field, but it lacked cooperation with other countries and related institutions. Among numerous research institutions, the Chinese Academy of Sciences was the authoritative and backbone force in this research field, with the number of published literatures ranking first and the research achievements outstanding. The keyword analysis found that "poly lactic-co-glycolic acid nanoparticles (PLGA NPs)" and "photothermal therapy" had become the latest breakout words since 2018. Moreover, the occurrence frequency of related keywords such as "drug delivery" increased significantly, indicating that the application of PLGA NPs in photothermal therapy might be the current research hotspot and future development trend of NSCLC treatment. ConclusionCurrently, the domestic research on the treatment of nanoparticles and NSCLC is in a leading position in the world. The organic combination of nanoparticles with different materials and other NSCLC therapies is expected to improve the prognosis of NSCLC patients. In the future, attempts to develop nanoparticles with different sources and structures and combined with photothermal therapy for the treatment of NSCLC may become a research hotspot of nanoparticles in the treatment of NSCLC.
Objective To conduct a systematic and comprehensive bibliometric analysis related to medical imaging in coronavirus disease 2019 (COVID-19) published by Chinese authors, and indicate the current status and guidance for coping with the challenges brought by long COVID. Methods Literature records pertaining to COVID-19 imaging were retrieved from the Web of Science (WOS) and Chinese Science Citation Database (CSCD) with a date range of January 1st, 2020 to December 31st, 2022. CiteSpace was used to analyze the popular topics and generate a visual map to further refine research trends. Results The search enrolled 2229 publications (1771 publications from WOS and 458 from CSCD). The monthly volume of publications showed a significant increase followed by a gradual decline, and then maintained a stable level. Clustering analysis of keywords and co-citations revealed that the research hotspots in COVID-19 imaging were clinical features, imaging differential diagnosis, and the application of artificial intelligence. Keyword burst analysis showed that “deep learning” was the most intensive keyword, while “attention mechanism” had the longest burst duration. Conclusions In recent years, the research in the field of COVID-19 imaging has made steady progress. Artificial intelligence has received the most attention. Clinical features, imaging features and artificial intelligence assisted diagnosis are the top of most concerns. The future focus of COVID-19 imaging research may be on improving algorithm models to expand the application of artificial intelligence in disease diagnosis, treatment, and management.