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.
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.
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.
Objectives To evaluate the research status of hospital management in foreign countries using bibliometric analysis, in order to provide reference for domestic hospital management. Methods The Scopus and Web of Science databases were searched for hospital management related studies from inception to May 30th, 2017. The publication date, document type, country, affiliation, publication distribution, citation, and co-authorship of included studies were analyzed. Results During the past 20 years, the amount of hospital management related studies presented an increased trend, and original article was the major article type. The USA, UK, Germany, France, Japan, Australia, Austria, Italy, Spain and Canada were ranked as the top ten countries that had published the most related studies. Moreover, most of the affiliations which published the related studies were from the USA, UK and France. The results of co-authorship analysis indicated that some researchers existed close co-authorships. Conclusions Developed countries have better researches on hospital management and can provide a good reference for domestic researchers.
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 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.
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.
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.
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.
The objective of this study is to map the global scientific competitive landscape in the field of artificial intelligence (AI) medical devices using scientific data. A bibliometric analysis was conducted using the Web of Science Core Collection to examine global research trends in AI-based medical devices. As of the end of 2023, a total of 55 147 relevant publications were identified worldwide, with 76.6% published between 2018 and 2024. Research in this field has primarily focused on AI-assisted medical image and physiological signal analysis. At the national level, China (17 991 publications) and the United States (14 032 publications) lead in output. China has shown a rapid increase in publication volume, with its 2023 output exceeding twice that of the U.S.; however, the U.S. maintains a higher average citation per paper (China: 16.29; U.S.: 35.99). At the institutional level, seven Chinese institutions and three U.S. institutions rank among the global top ten in terms of publication volume. At the researcher level, prominent contributors include Acharya U Rajendra, Rueckert Daniel and Tian Jie, who have extensively explored AI-assisted medical imaging. Some researchers have specialized in specific imaging applications, such as Yang Xiaofeng (AI-assisted precision radiotherapy for tumors) and Shen Dinggang (brain imaging analysis). Others, including Gao Xiaorong and Ming Dong, focus on AI-assisted physiological signal analysis. The results confirm the rapid global development of AI in the medical device field, with “AI + imaging” emerging as the most mature direction. China and the U.S. maintain absolute leadership in this area—China slightly leads in publication volume, while the U.S., having started earlier, demonstrates higher research quality. Both countries host a large number of active research teams in this domain.