ObjectiveTo investigate the current status of research in gene therapy for retinitis pigmentosa (RP) from 2005 to 2024. MethodsThe literature related to gene therapy for RP included in the Web of Science Core Collection dataset from January 1, 2005 to September 15, 2024 was retrieved and screened. The bibliometrix package of R software was used to analyze the annual trend of the number of publications, citation frequency, distribution of countries/regions of the literature, and distribution of journals containing the articles. CiteSpace software was used to perform keyword clustering analysis and the keywords bursts analysis. ResultsA total of 209 articles were included. There was an overall fluctuating upward trend of annual publications from 2005 to 2024, with the highest number of publications in 2023 at 26 (12.4%, 26/209), and the lowest number of publications in 2006 at 2 (0.9%, 2/209). There was an overall increasing trend in the frequency of citations to relevant literature. Corresponding authors from the United States had the highest total number of publications with 98 (46.9%, 98/209). Among authors, Hauswirth from the University of Florida, USA, had the most with 25 (12.0%, 25/209). Among institutions, Columbia University, USA, had the most with 55 (26.3%, 55/209). Among journals, Mol Ther had the most with 25 (12.0%, 25/209), and it had the highest 2023 impact factor of 12.1. Keyword clustering analysis yielded eight valid clusters, namely #0 P23H, #1 AAV, #2 PDE6B, #3 CRB1, #4 RPGR, #5 antisense oligonucleotide, #6 NR2E3, and #7 NRL, which intersected with each other with good continuity. The keywords bursts analysis showed that the keyword with the longest emergence time was RNAi, followed by PDE and PDE6. USH2A, CRB1, CRISPR Cas9, base editing, and ORF15 were keywords that emerged in recent years and were continuously studied. ConclusionsRP gene therapy research literature has shown an increasing trend from 2005 to 2024, with the highest number of publications from research organizations and scholars in the United States. Currently, studies focus on RHO, PDE6B, CRB1, RPGR, NR2E3, and NRL gene. In recent years, there has been a gradual increase in studies on USH2A, CRB1 genes, and the RPGR ORF15 region. CRISPR Cas9 and base editing gene therapy strategies are being developed.
Objective To investigate the current status of esophageal cancer surgery-related researches using bibliometric methodologies and identify the trend and hotspots. Methods The Chinese and English literature was collected from Web of Science and CNKI from inception of each database to April 1, 2022. VOSviewer 1.6.18 and CiteSpace 6.1 were applied to cluster the authors, institutions, and keywords. For social network and time series analysis, Excel, GraphPad, and R 4.0.3 were used to visualize the literature on esophageal cancer surgery. Results Finally, 19 566 English literature and 19 872 Chinese literature was included. The results demonstrated that the annual publishing of both Chinese and English literature increased over time, with English literature increasing rapidly and Chinese literature maintaining an average number of above 1 000 per year from 2011 to 2019. Researches were predominantly centered in Europe, the United States, Japan, South Korea, and China. China's researches in the field of surgical treatment in esophageal cancer lacked international collaboration, which began later than East Asian countries such as Japan and South Korea and had less influence. From the keyword perspective, previous researches on surgical treatment of esophageal cancer mostly focused on surgical techniques, complications, and comprehensive perioperative therapy. Both Chinese and English literature showed that the prevalence of keywords such as minimally invasive surgery, comprehensive treatment, and clinical trials increased dramatically during the recent years, indicating that these fields may represent the future directions and research trends. Conclusion Compared to East Asia countries, such as Japan and South Korea, Chinese esophageal cancer surgery-related researches are relatively lacking. The research direction and field are similar to those in developed countries such as the United States and Europe. Future attention may be focused on minimally invasive treatment, comprehensive treatment, and clinical trials associated with surgical treatment of esophageal cancer.
ObjectiveTo analyze the global status, hotspots, and trends in atrial fibrillation anticoagulation research.MethodsWe searched Web of Science Core Collection to collect relevant literature on atrial fibrillation anticoagulation from 2006 to 2020. The visualization software CiteSpace and VOSviewer were used to analyze co-citation, co-occurrence, and emergence analysis on publishing organizations, journals, and keywords and to explore the research hotspots and frontiers.ResultsA total of 11764 related studies were retrieved. In recent years, research on anticoagulation of atrial fibrillation has become increasingly popular. Most of the published researches were from North America, and the primary institution was the University of Birmingham. Research hotspots mainly focused on warfarin, stroke prevention, new oral anticoagulants, antithrombotic and anticoagulants, and complicating diseases. The research frontiers were the new oral anticoagulants, and the antithrombotic management of atrial fibrillation with coronary heart disease.ConclusionsThe global hotspot in atrial fibrillation anticoagulant research is warfarin, stroke prevention, new oral anticoagulants, antithrombotic and antiplatelet therapy, and complicated diseases. The research focuses on the study of novel oral anticoagulants and the antithrombotic management of atrial fibrillation complicated with coronary heart disease.
ObjectiveTo interpret the intervention description and reporting standards (TIDieR), and further present the domestic and international application status of TIDieR based on knowledge graphs. And to provide references and inspirations for standardized reporting of intervention studies. MethodsTIDieR-related literature published in Chinese and English databases such as CNKI, WanFang Data, PubMed, and Web of Science was searched from 2014 to 2024, and visual analysis was conducted using CiteSpace6.3.R1 bibliometric software. ResultsTIDieR consisted of 12 entries, including abbreviated intervention name, implementation rationale, implementation materials, implementation process, implementer, implementation method, implementation site, implementation time and intensity, personalized plan, plan changes, expected effects, and actual effects. The bibliometric analysis included 94 English-language papers and 5 Chinese-language papers. The application of TIDieR was relatively widespread overseas, mainly involving health care, rehabilitation, and digital health fields. ConclusionTIDieR can ensure the standardization and reproducibility of intervention research reports. However, domestic scholars still apply TIDieR less frequently. It is necessary to gradually promote and strengthen the application of TIDieR in future intervention studies, thereby improving the transparency and quality of intervention research reports.
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 compare and review worldwide journals titled “evidence-based” in order to provide an overview of these healthcare journals and suggestions for improving the quality of this type of journal in China and to introduce a quick way for healthcare professionals and patients to obtain high quality clinical evidence. Methods We searched PubMed, EMBASE, Ulrich’s Periodicals Directory, Wanfang and some relevant websites to identify journals titled “evidence-based”. The last issues in 2006 of these kind of journals were analyzed by bibliometric method. Results Twenty-four journals were included. Covering 12 disciplines such as clinical, nursing, health care, etc. They were divided into the primary journals and the secondary journals, published in two languages in six countries. These journals had differences and similarities in their aims, columns and contents, etc. Conclusions Evidence-based medical journals provide the latest developments and the best evidence for healthcare professionals in their own fields, save their time in searching for and reading information, and provide ideas for improving the quality of similar journals in our country.
ObjectiveThis study aims to conduct a bibliometric analysis of the dataset obtained from a systematic review of Model-Based Meta-Analysis (MBMA) studies to uncover research trends in MBMA. MethodsWe conducted a systematic search across databases including Embase, MEDLINE, Cochrane Library, Web of Science, CNKI, VIP, WanFang Data, and Sinomed. Relevant literature pertaining to MBMA was screened and included. Qualitative and quantitative analyses were performed to assess author contributions, temporal trends, national distribution, and disease prevalence. ResultsA total of 129 articles were included in the analysis, most published in being China (n=48), the United States (n=47), and the United Kingdom (n=7). The time span covered by these articles ranged from 2005 to 2023. A total of 531 researchers contributed to the included studies, with first authors from 15 different countries. The compilation encompassed 402 keywords, with the three most frequently used being “Meta-analysis” (n=28), “Model-based meta-analysis” (n=27), and “Pharmacokinetics” (n=14). The study covered 16 distinct disease categories, with the top three neoplasms (n=16), neurological disorders (n=14), and endocrine and metabolic diseases (n=13). ConclusionBibliometric analysis showed that the number of MBMA studies has increased significantly over the past three years, using a variety of key diseases as carriers. However, this new type of quantitative research has not yet attracted sufficient attention, and the research power is still concentrated in China and the United States; Moreover, a core group of authors has not yet been formed, it is necessary for scholars from various countries to strengthen multidisciplinary cooperation and communication to promote the production and translation of high-quality evidence.
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 conduct a systematic and comprehensive bibliometric analysis related to medical imaging in coronavirus disease 2019 (COVID-19) published by Chinese authors, and indicate the current status and guidance for coping with the challenges brought by long COVID. Methods Literature records pertaining to COVID-19 imaging were retrieved from the Web of Science (WOS) and Chinese Science Citation Database (CSCD) with a date range of January 1st, 2020 to December 31st, 2022. CiteSpace was used to analyze the popular topics and generate a visual map to further refine research trends. Results The search enrolled 2229 publications (1771 publications from WOS and 458 from CSCD). The monthly volume of publications showed a significant increase followed by a gradual decline, and then maintained a stable level. Clustering analysis of keywords and co-citations revealed that the research hotspots in COVID-19 imaging were clinical features, imaging differential diagnosis, and the application of artificial intelligence. Keyword burst analysis showed that “deep learning” was the most intensive keyword, while “attention mechanism” had the longest burst duration. Conclusions In recent years, the research in the field of COVID-19 imaging has made steady progress. Artificial intelligence has received the most attention. Clinical features, imaging features and artificial intelligence assisted diagnosis are the top of most concerns. The future focus of COVID-19 imaging research may be on improving algorithm models to expand the application of artificial intelligence in disease diagnosis, treatment, and management.