Objective To analyze the major complications and predictive factors of amputees during postoperative hospitalization, and provide a reference for amputees nursing and early rehabilitation. Methods Using the bibliometric method, we searched Embase, Ovid, Medline, PubMed, CINAHL, China National Knowledge Infrastructure, Wanfang and CQVIP databases for the data of postoperative hospitalization of amputees published from January 1st, 2008 to April 5th, 2022. Statistical description and analysis of article types, sample size, reasons for amputation, amputation sites, complications, influencing factors, predictive factors, and treatment recommendations were performed.Results Finally, 19 articles were included, including 16 in English and 3 in Chinese, all of which were quantitative studies. The literature quality scores were greater than or equal to 7 points, which were all good or excellent. The type of articles were mainly retrospective research (n=15), and the research contents were mainly lower limb amputation. The main reasons for amputation were peripheral vascular disease and diabetes mellitus (n=11). Wound infection, anemia, phantom limb pain, and psychological problems were common complications after amputation. Predictors of complications, secondary operations, and death included age, gender, smoking, drinking, obesity, preoperative comorbidities, level of amputation, anesthesia methods and other factors. Conclusions The focus of acute care after amputation should be wound healing, pain control, proximal physical movement and emotional support, especially for amputees who have prominent postoperative psychological problems. These patients need early psychological disease screening and mental support. After amputation, multi-disciplinary and multi-team coordinated care are needed to achieve both physical and psychological healing of the patient and promote early recovery.
Objective To explore the global research status and trends of continuous renal replacement therapy (CRRT) based on knowledge visualization analysis. Methods Based on the Web of Science Core Collection, studies reporting CRRT research that were published between June 2014 and June 2023 were retrieved and collected after manual review. VOSviewer and CiteSpace softwares were used for bibliometric visualization analysis, including publication trends, geographical distribution characteristics, journal distribution characteristics, author contributions, citations, funding source characteristics, and keyword clustering. Results A total of 2708 papers were analyzed, with an increasing trend in the number of articles and citation frequency from 2015 to 2021. The United States was the most prolific country and France was the most influential country. The University of Pittsburgh in the United States had the highest number of publications among research institutions and showed higher motivation for inter-institutional collaboration. The University of Queensland in the Australia had the highest average citation frequency. Professor Rinaldo Bellomo of Australia was the most productive author and Professor Jeffrey Lipman was the most influential. Jason A. Roberts, Jeffrey Lipman and Claudio Ronco were the three authors who had the highest number of collaborations with other authors. Keyword cluster analysis showed that the prognosis of CRRT for renal disease was the focus of research, with hotspots of research being antibiotics, citrate accumulation, plasma replacement, lactate clearance, acute respiratory distress syndrome, and coronavirus disease 2019. Coupling analysis of the literature showed that exploring the indications for CRRT and optimizing treatment prescription were at the forefront of research. Conclusions The present study of CRRT has generally shown an upward trend in the last decade. The management and efficacy of CRRT remains a hot topic of research. Exploring the indications for CRRT and optimizing treatment prescriptions may be a popular research direction and trend in the future.
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.
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.
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 review the literature written in English on hospital performance research and provide theoretical and practical references for research in the field of hospital performance in China. Methods Literature related to hospital performance published from 1972 to 2022 in the Web of Science Core Collection was retrieved. Microsoft Excel 2021 was used to analyze the annual publication volume of English literature in the field of hospital performance. CiteSpace 6.1.R6 software was used for co-occurrence analysis of countries/regions, institutions and authors, research hotspots and frontiers. Results A total of 1447 articles were ultimately included. The analysis of annual publication volume showed that the overall publication volume in the field of hospital performance was on the rise. The co-occurrence analysis of countries/regions indicated that the United States had the highest output of academic papers (548), followed by the United Kingdom and China (120 and 89 respectively). The most productive institution was Harvard University in the United States, and the most productive scholar was Harlan M. Krumholz from the Yale University School of Medicine in the United States. The most frequently occurring keyword was “care”. The clustering analysis of keywords revealed that the keywords in the field of hospital performance research were clustered into 12 categories. The top 5 keywords with the highest burst intensity included “acute myocardial infarction” “indicator” “US hospital” “predictor” and “administrative data”. Keywords such as “public hospital” “financial performance” “performance measurement” “framework” and “organizational performance” began to emerge in 2020 and had continued to the present. Conclusions The research hotspot in the field of hospital performance has shifted from focusing on individual performance to organizational performance. There is still a lot of room for research in this field in China, and the exploration of hospital performance evaluation and management models may continue to be research hotspots in this field in the future.
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.
The present paper is to evaluate the scientific research level and development trends of biomedical engineering in China using metrology analysis on Chinese biomedical engineering scientific literatures. Pubmed is used to search the biomedical engineering publications in recent 5 years which are indexed by Science Citation Index, and the number and cited times of these publications and the impact factor of the journals are analyzed. The results show that comparing with the world, although the number of the publication in China has increased in recent 5 years, there is still much room for improvement. Among Chinese mainland, Hongkong and Taiwan, Chinese mainland maintains the obvious advantage in this subject, but Hongkong has the highest average cited number. Shanghai and Beijing have better research ability than other areas in Chinese mainland.
Objective To discover the similarities and differences between CBM and MEDLINE databases in the field of post-earthquake health issue research characteristics in order to provide references and aids to the scientific research administration, professional education and training, research subjects selection and project finance support. Methods CBM and MEDLINE databases (from January 1987 to December 2009) were systematically searched to obtain literature about post-earthquake health issues. Those studies were classified and compared by the characteristics of research objects, health issues, research periods, and types of study design. Results A total of 701 literature from CBM and 387 from MEDLINE were included. MEDLINE database provided more studies focusing on victims of natural calamities with specific age description than CBM (Plt;0.05). Research peak of CBM database centralized in the period of three months after earthquake (n=645, 92%), while MEDLINE was three years after the earthquake (n=191, 87.2%). Studies from both databases similarly focused on physical trauma and psychiatric/psychological issues (two types of health issues in total: CBM: n=727, 86.1%; MEDLINE: n=358, 83.4%). Investigations from CBM were primarily designed for retrospective and descriptive research (n=439, 62.6%), cross-sectional investigations (n=146, 20.8%) and case report (n=86, 12.3%) while MEDLINE focalized on cross-sectional investigations (n=177, 45.7%) and retrospective and descriptive research (n=146, 37.7%). Conclusion Compared to MEDLINE, studies from CBM database are relatively weak in the post-earthquake health issues of population with specific age characters, long-term health issues, levels of evidence and types of research design. The possible reasons are insufficient attention to the post-earthquake health issues, inadequate preparation for the research or limited knowledge about research methods.
With the heavier burden of cardiovascular disease, an abundance of papers emerge every year in the research hotspots, which cover a wide range of types and content. In order to let readers interested in the cardiovascular field quickly understand the research hotspots and research frontier, it is necessary to sort out and summarize the research topic in time. According to the discipline classification, we screened papers in cardiovascular field from the Essential Science Indicators (ESI) hot papers published in 2019. Methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation were used a step further to reveal the context and characteristics of research in the field of cardiovascular diseases, summarize the latest progress and development direction in this field, and provide information and hints for the expansion of future research directions. A total of 297 papers were finally included, which were mainly in the field of clinical medicine; The country with the most publications was the United States, while China ranked the fifth in terms of contribution; the research institution with the highest number of published papers was Harvard University; the New England Journal of Medicine (NEJM) has published the most papers, with contribution also from journals such as Circulation, Europe Heart Journal, JAMA, and Lancet. All the papers were categorized into disease burden, disease risk, drug treatment, device treatment and surgical treatment, clinical diagnosis, basic research and others, so as to review and summarize the research front in the field of cardiovascular diseases.