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.
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.
Objective To investigate the health technology assessment reports, analyze publication characteristics and report quality, and explore hot topics in health technology assessment. Methods Web of Science and CNKI databases were searched to collect complete health technology assessment reports from inception to January 2023. SPSS 26.0 software was used to analyze the publication journals, countries, number of authors, assessment types and assessment contents of the assessment reports. The report quality was assessed based on International Network of Agencies for Health Technology Assessment (INAHTA) report criteria (2007 edition). VOSviewer 1.6.11 was used to analyze keywords clustering. Results A total of 216 papers were included, with 158 published by Chinese authors, and a rapid growth trend in the number of reports over past four years. The rate of reports on health technology social adaptability assessment was only 17.13%. Among the Chinese reports, 25 were general health technology assessments, 35 were rapid assessments, and 3 were mini assessments. Among the English reports, 4 were rapid assessments, and 54 were regular healthcare technology assessments. For the 14 items in the INAHTA reporting criteria, the reporting rates were high for the brief summary (98.61%), problem description (94.91%), and results discussion entries (97.69%). However, the reporting rates were low for criteria such as personnel responsibilities, conflict of interest statements, and peer review statements, at 31.94%, 19.44%, and 3.24% respectively. English literature generally exhibited higher report quality. Conclusion In recent years, the volume of health technology assessment reports in China has been increasing, with developments in assessment types and application fields. However, there are also problems with standardization of reporting.
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.
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.
Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States; the institution outside China with the most papers published was McMaster University; and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently; research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences.
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.
ObjectiveTo explore the current status and tendency of the application of CT or MRI in the pancreatic pseudocyst using bibiometric analysis for relative documents, and provide reference information for the future research of radiology. MethodsBibliographies from research literatures of CT or MRI application in the pancreatic pseudocyst from January 1, 2003 to September 20, 2014 in PubMed database were downloaded.The publication years, journals, the first authors, and the frequency of subject headings and subheadings were extracted from them by Bicomb 2.0 software.The subject headings and subheadings appeared more than five times were intercepted as high frequency ones, then created the high frequency subject headings and subheadings co-occurrence matrix.SPSS 22.0 statistical software was applied for clustering analysis with this matrix, then got the major hotspots. ResultsA total of 342 literatures were screened out.The research of CT or MRI application in the pancreatic pseudocyst increased slowly year by year in recent 10 years, then slowly decreased after 2008 year.The related literatures were published in the 164 journals, in which 16 journals (115 literatures were published) were core area distribution according to the Bradford law.There were 10 authors at least 2 published literatures, in who Bhasin DK in USA published 7 literatures, was the most active researcher in this field.The number of high frequency subject headings and subheadings was 33 and among which 5 research hotspots were clustered. ConclusionResearch hotspots about CT or MRI application in pancreatic pseudocyst mainly focuses on five aspects below:pathology, diagnosis, therapy, complications, and etiology.
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.