ObjectiveTo explore the current status of nursing researches about catheter-related infections in recent 5 years in China, and provide reference for further research.MethodsThe China National Knowledge Infrastructure database and Wangfang database were selected to search for literature about catheter-related infections published in recent 5 years in 10 nursing journals of Statistic Source, with the terms of " catheter-related bloodstream infection” or " ventilator-associated pneumonia” or " catheter-related urinary tract infection”. Statistical analysis was conducted.ResultsA total of 216 papers were included. The number of papers was not increased year by year. In terms of the object of study, the studies on ventilator-associated pneumonia were the most, accounting for 71.3%. Only 36.5% of the studies had accurate diagnostic criteria. In terms of the type of study, experimental studies were the most (109 articles). The content was concentrated on the best practice intervention studies (149 articles). The data collection methods gave priority to active surveillance/screening, including 113 articles.ConclusionsThe present focused attention is not enough to the researches about catheter-related infections in nursing field, and rigorous design is lacking in published studies. There are only a few nursing studies about catheter-related infections with high quality and high level of evidence. The quantity and quality of nursing researches about catheter-related infections still need to be improved. Nurses should pay more attention to the control and prevention of catheter-related infections, and should improve their research capacity.
With the development of artificial intelligence (AI) technology, great progress has been made in the application of AI in the medical field. While foreign journals have published a large number of papers on the application of AI in epilepsy, there is a dearth of studies within domestic journals. In order to understand the global research progress and development trend of AI applications in epilepsy, a total of 895 papers on AI applications in epilepsy included in the Web of Science Core Collection and published before December 31, 2022 were selected as the research objects. The annual number of papers and their cited times, the most published authors, institutions and countries, and their cooperative relationships were analyzed, and the research hotspots and future trends in this field were explored by using bibliometrics and other methods. The results showed that before 2016, the annual number of papers on the application of AI in epilepsy increased slowly, and after 2017, the number of publications increased rapidly. The United States had the largest number of papers (n=273), followed by China (n=195). The institution with the largest number of papers was the University of London (n=36), and Capital Medical University in China had 23 papers. The author with the most published papers was Gregory Worrell (n=14), and the scholar with the most published articles in China was Guo Jiayan from Xiamen University (n=7). The application of machine learning in the diagnosis and treatment of epilepsy is an early research focus in this field, while the seizure prediction model based on EEG feature extraction, deep learning especially convolutional neural network application in epilepsy diagnosis, and cloud computing application in epilepsy healthcare, are the current research priorities in this field. AI-based EEG feature extraction, the application of deep learning in the diagnosis and treatment of epilepsy, and the Internet of things to solve epilepsy health-related problems are the research aims of this field in the future.
Objective To investigate the development of biofilm research over the last 10 years in China based on a bibliometric approach. Methods We searched PubMed (1997 to 2007), China Hospital Knowledge Database (1997 to 2007), and VIP Chinese Journal Database (1997 to 2007). Quality assessment and data collection were performed by two reviewers independently. The amount of literature, research institutions, financial assistance, and contents of biofilm research were analyzed. Results A total of 240 Chinese papers were included. Colleges were the leading research institutions in China, and most of research focused on pseudomonas aeruginosa and staphylococci, primarily based on in vitro models. Available antibiotics were the main measures for biofilm control. Only 4 RCTs with a C grade in terms of methodological quality were included. Conclusion Biofilm research in China can keep pace with the international development, but its integration with engineering, material science and immunology needs to be strengthened.
ObjectiveTo explore the current situation, progress and hot spots of hospital-based health technology assessment (HB-HTA) at home and abroad. MethodsThe China National Knowledge Infrastructure (CNKI) and Web of Science databases were electronically searched to collect publications on HB-HTA. The bibliographic item co-occurrence mining system and VOSviewer software were used to extract and visually analyze HB-HTA literature. ResultsA total of 6 016 publications were included. Research on HB-HTA started late in China, however, it gradually increased in recent years. The Chinese research topics mainly focused on the application of hospital health technology evaluation in the management of medical equipment and consumables, and the English research topics mainly focused on the evaluation of the effectiveness, safety and cost of hospital health technology, especially information technology. ConclusionIn recent years, increasing attention has been given to HB-HTA. Related research topics have mainly focused on hospital technology access, management, and hospital health decision management.
ObjectiveTo learn the distribution pattern and characteristics of autoimmune pancreatitis research literature, and its worldwide research trend. MethodsPublished data between September 22, 2004 and September 21, 2014 were searched by using the keyword autoimmune pancreatitis in the database of Pubmed. Publication year, journals, authors and research topics were bibliometrically analyzed. The analysis software Bibliographic Item Co-occurrence Matrix Builder was used for cluster analysis on high-frequency keywords. ResultsA total of 1 518 articles on autoimmune pancreatitis were acquired. The amount of published literature rose rapidly in the past 10 years, reaching its peak in the year of 2012. Most of the articles were published by several leading authors in the leading journals. There were 26 keywords with a frequency of more than 30 times, and 4 categories were classified through cluster analysis of these keywords. They were pathology and immunology, imaging, diagnosis and treatment. ConclusionsAttention on autoimmune pancreatitis has been increasing in the recent 10 years. Japanese researchers have been taking the lead. Current research focus is the diagnosis of autoimmune pancreatitis.
ObjectiveTo analyze the current situation and international research focuses on the study of medical device risk management. MethodsTo retrieve medical device risk management literature information cited from 2002 to 2011 in PubMed such as high-frequency MeSH; analyze current situation and research focuses of medical device risk management by using bibliometrics, bibliographic item co-occurrence matrix builder (BICOMB), and graphical clustering toolkit (gCluto) for quantitative analysis, high-frequency MeSH term papers cluster visualization analysis. ResultsA total of 7 073 published studies were retrieved, basically suggesting a gradually increasing trend of the number of published papers. The top 3 numbers of first authors' papers referred to three countries: the United States, Britain and Germany, while China ranked twelfth. The top 3 numbers of journal articles referred to the United States, Britain and Holland, while China ranked twenty-second. Twenty journals published more than 50 papers, and all these journals were clinical journals. Thirty-three authors published no less than 5 papers, with the maximum of 18 articles. Totally, there were 124 highfrequency MeSHs. The high-frequency MeSHs were classified into 6 categories by using double cluster analysis: kinds 0 to 4 included risk report, risk analysis, risk assessment and methodology of heart valve prosthesis, coronary stents, peripheral vascular stents, implantable defibrillators and other life support device, surgical repair surgical flaps and minimal invasion surgical device such as laparoscopy; kind 5 focused on safety management, risk control, organization and implementation and other related research based on prevention and control of medical device adverse reaction, medical errors, occupation exposure, and equipment failure. ConclusionThe analysis on international literature on medical device risk management basically shows a gradually increasing trend; most studies published in the clinical medicine journals; research focus on risk assessment, safety management and quality improvement in the application such as angioplasty, artificial prosthesis replacement, plastic surgery, minimally invasive surgery and critical care medicine, and radiology diagnosis and treatment; implantable, life-supported invasive and radiological devices as the main research subject; and characteristics include closely combination between medical device risk management and the application of safe and effective, quality improvement systems for clinical diagnosis and treatment.
ObjectiveTo analyze the research status of mini-clinical evaluation exercise (Mini-CEX) in medical and nursing education in the mainland of China, so as to provide a basis for optimizing medical and nursing teaching evaluation tools and promoting the reform of medical and nursing personnel training mode.MethodsPubMed, Embase, Wanfang, CQVIP, China National Knowledge Infrastructure, and China Biomedical Literature Database were searched. The key words were “mini-clinical evaluation exercise” or “mini-CEX” or “CEX” or “mini clinical exercise evaluation”. The languages were limited to Chinese and English. The address of the first author was in the mainland of China. The retrieval time was from the establishment of the databases to December 31st, 2020. The literature was analyzed bibliometrically after screening and duplicate removal.ResultsA total of 536 articles were included for analysis and summary. The articles originated from 28 provincial-level administrative divisions in China, among which Shanghai, Xinjiang, Guangxi, Liaoning, and Guangdong were the top five in terms of the number of papers published. The annual number of papers published exceeded 60 in 2017, and reached 112 in 2019 and 113 in 2020, respectively. A total of 397 hospitals and universities contributed to the literature, among which 49 institutions published more than 2 papers. The maximum number of articles published by a same author was 5. There were 530 journal papers published in 169 journals. Only 228 articles (42.54%) were supported by funds, and the research type was mainly experimental and quasi experimental research (56.71%). Under the key words co-occurrence network analysis, a total of 321 nodes and 1 013 connections were obtained, with an average of 3.21 connections per node. In addition to “mini-CEX” and “mini-clinical exercise evaluation”, the most prominent research directions were “clinical teaching” “standardized training” “resident” “scenario simulation” and “clinical ability”.ConclusionsThe number of mini-CEX-related medical and nursing articles is increasing year by year, but the distribution of research areas and institutions is uneven, the research quality needs to be improved, the application scope and research types need to be enriched, and the research content needs to be expanded. In the future, teachers and research teams of medical colleges and universities should be mobilized to apply Mini-CEX teaching method to the cultivation of medical and nursing talents in a whole and continuous way, so as to further standardize the localization application of mini-CEX in the mainland of China, and promote the in-depth development of formative evaluation of medical education.
ObjectivesTo conduct a bibliometric analysis to research the status of disease burden domestically and overseas so as to understand the status of diseases burden, and to provide scientific and reasonable reference for health disease prevention, control strategies formulation and future research.MethodsPubMed, Web of Science, EMbase, The Cochrane Library, WanFang Data, CBM and CNKI databases were electronically searched to collect literature on disease burden from inception to October, 2018. Two reviewers independently screened literature and extracted data. EndNote X7 software was used for literature management, Excel 2016 software and VOS viewer software were also used to analyze data. Literature was classified by the aspects of literature publication characteristics, diseases, background areas, influencing factors, evaluation indicators and poverty caused by illness.ResultsA total of 325 studies were included in the bibliometric analysis. 41 articles (12.6%) were published in journals indexed by SCIE; original research evidence accounted for 97.0% (315 articles); 272 articles were from China (83.7%). The main diseases involved were malignant tumors (58 articles, 17.8%), diabetes (29 articles, 8.9%) and hypertension (24 articles, 7.4%). Factors affecting the disease burden primarily included hospitalization days (9 articles, 2.8%), complications (5 articles, 1.5%), delays in treatment (5 articles, 1.5%), and economic income (4 articles, 1.2%). Sixity-one articles (18.8%) reported poverty due to illness, and related diseases were chronic obstructive pulmonary disease (12 articles, 3.7%), hypertension (10 articles, 3.1%), diabetes (10 articles, 3.1%), malignant tumors (9 articles, 2.8%) and hepatitis B (6 articles, 1.8%).ConclusionsAt present, the disease burden research are focusing more on the burden of chronic non-communicable diseases such as malignant tumors, hypertension, diabetes, cardiovascular and cerebrovascular diseases in developing countries and regions. Medical costs vary from different diseases and treatment, different demographic characteristics of patients, and the coverage medical security of different population are the primary reasons for the " expensive in medical treatment” of current residents and the heavy burden of disease. DALY and total direct medical expenses are the main evaluation indexes of epidemiological burden and economic burden of disease, respectively. Future researches should focus on strengthening the scientific nature of study design to improve the quality of research, as well as paying more attention to diseases and aspects that are rarely involved, such as major diseases caused by poverty due to illness, comprehensive analysis of multiple diseases and aspects of health investment measurement, and comprehensively use the evaluation indicators of disease burden to strengthen the research on the comparability index of disease economic burden.
ObjectiveTo investigate researches on inflammatory pulmonary pseudotumor between 2010 and 2014 year and to provide reference information for the majority of professionals in deep research. MethodsBibliographies from research literature of inflammatory pulmonary pseudotumor between 2010 and 2014 year in PubMed database were downloaded, the publication year, journals, countries of publication, the first authors and the frequency of major topic headings were counted by Bicomb 2.0 software. The affiliations were analyzed artificially. Major topic headings appeared no less than three times were intercepted as high frequency terms and high frequency. Major topic headings co-occurrence matrix were formed. SPSS 22.0 statistical software was applied for clustering analysis with matrix, then to get the topic hotspots. ResultsA total of 62 literatures were screened out. The data of research trend, journals, research degree of different countries were acquired. The number of high frequency major topic headings was 12 and among which 4 research hotspots were clustered. ConclusionResearches on inflammatory pulmonary pseudotumor are mainly in terms of pathology, diagnosis and treatment, etiology, and immunoassay.
ObjectiveTo analyze the trend, hotspots and frontiers of diabetic retinopathy (DR) therapy by bibliometric method. MethodsData were taken from the Web of Science website of Science Citation Index. Articles from 2017 to 2021, which were related to the therapy of diabetic retinopathy (DR), were included. The bibliometric analysis softwares, VOSviewer and CiteSpace were used to generate and analyze visual representations of the complex data input, including high-frequency keywords, keywords with the strongest citation bursts and co-occurrence networks of keywords. ResultsA total of 3,845 articles were included. The amounts of papers published from 2017 to 2021 is 633, 651, 708, 893, and 960 respectively, increasing over years. Chinese scholars published the most articles, followed by the United States. The number of articles funded by the National Natural Science Foundation of China ranks third. There were 47 high-frequency keywords clustered into DR treatment, pathogenesis of DR, diagnosis of DR, Oxidative stress, diabetic macular edema (DME), type 2 diabetes, optical coherence tomography and deep learning. Those keywords were research hotspots and new keywords were constantly emerging. Among the top 11 burst words, the burst values of “intravitreal bevacizumab”, “vascular endothelial growth factor (VEGF)”, “choroidal neovascularization”, “inhibition”, and “receptors” were all over 10. Highly cited references showed a significant clustering tendency, which were treatment of DME, review of DR, clinical research of anti-VEGF drug therapy. ConclusionsThe amount of paper related to DR therapy is on the rise; the specific treatment methods for the pathogenesis of DR are constantly research hotspots. In addition, formulating treatment strategies to reduce macular edema and other complications of diabetes, applying optical coherence tomography, deep learning and other technologies to improve the efficiency of DR diagnosis and treatment, improve targeted drug delivery systems, and finding new target points were research frontiers.