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.
ObjectiveTo investigate the clinical research development of dementia in the UK Biobank database in SCIE and PubMed. MethodsThe literatures of dementia in the UK Biobank database published in SCIE and PubMed from January 1, 2018 to November 30, 2022 were searched, and the number of articles, publishing institutions, journals, citations, authors and keywords were statistically analyzed. ResultsA total of 279 papers were included, and the number of papers presented an annual growth trend. The United Kingdom has the largest number of publications, the United States journals have the greatest influence, and China has the third largest number of publications. Springer Nature from Germany published the most papers, with the largest number of 47 papers. Among the authors, Yu JT from China published the most, with 11 articles, and the most major keyword in the research content is Alzheimer. ConclusionThe literatures of dementia in the UK Biobank-related field included in SCIE and PubMed databases show an increasing trend year by year, mainly in English, and the core author group has not yet formed. The papers published by Chinese scholars are concentrated in 2020-2022, and there are few transnational cooperative papers.
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.
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 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.
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.
Objective To investigate the current status of systematic reviews/meta-analyses published by pharmacists in hospital in China by using bibliometric analysis and assessing the methodological quality of these studies. Methods The literatures were searched from CNKI, WanFang Data, VIP, CBM, CMCI, PubMed, EMbase, The Cochrane Library (Issue 2, 2016) from the establishment to March 17th, 2016. According to the inclusive and exclusive criteria, the authors independently screened literature and extracted the data. Methodology quality and reporting quality were evaluated by using AMSTAR tool and PRIMSA statement. Data analysis was conducted by using Excel 2013 and SPSS 20.0 software. Results A total of 1 018 systematic reviews/meta-analyses were included of which 871 were published in Chinese and 147 were in English. The published literature increased year by year, as well as the reporting quality and methodological quality. All of the included studies were published in 146 Chinese journals and 97 English journals. The authors were from 308 hospitals of 27 provinces. Drug effectiveness and drug safety were mainly assessed, and western medicine was the main category. Most of these studies were focused on anti-tummor drugs. Conclusion Evidenced-based drug evaluation by hospital pharmacists in China is rapidly increasing as well as the methodological quality and reporting quality, however, the development is unbalanced in China, and evidence-based medicine should be further promoted in the field of hospital pharmacy.
The rapid development of artificial intelligence technology is driving profound changes in medical practice, particularly in the field of medical device application. Based on data from the U.S. clinical trials registry, this study analyzes the global registration landscape of clinical trials involving artificial intelligence-based medical devices, aiming to provide a reference for their clinical research and application. A total of 2 494 clinical trials related to artificial intelligence medical devices have been registered worldwide, with participation from 66 countries or regions. The United States leads with 908 trials, while for other countries or regions, including China, each has fewer than 300 trials. Germany, the United States, and Belgium serve as central hubs for international collaboration. Among the sponsors, 63.96% are universities or hospitals, 22.36% are enterprises, and the remainder includes individuals, government agencies and others. Of all trials, 79.99% are interventional studies, 94.67% place no restrictions on participant gender, and 69.69% exclude children. The targeted diseases are primarily neurological and mental disorders. This study systematically reveals the global distribution characteristics and research trends of artificial intelligence medical device clinical trials, offering valuable data support and practical insights for advancing international collaboration, resource allocation, and policy development in this field.
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 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.