ObjectiveTo summarize the development status, hot spots, and trends of radical thyroidectomy for thyroid cancer in recent 10 years by analyzing the data and atlas of the literatures related to radical thyroidectomy.MethodsLiteratures statistics and analysis technique of CiteSpace5.1 software were used to analyze the literatures related to radical resection of thyroid cancer, which were collected in CNKI database from January 1, 2008 to December 30, 2017, in order to obtain the trend of annual publication volume change, author and keyword clustering, and co-occurrence.ResultsFor the annual volume of articles, 148 articles were published from 2014 to 2017, with the authors clustering to6 groups with frequent frequency. Most of the authors were independent authors. The study focused on differentiated thyroid carcinoma, lymph node dissection and endoscopic surgery, recurrent laryngeal nerve injury, postoperative infection, decreased blood calcium, perioperative nursing, and preemptive analgesia. There were 35 keywords with order ≥ 6times, 8 keywords in cluster series, and 13 prominent words in the period from 2008 to 2017.ConclusionsThe literature of radical thyroidectomy developed rapidly from 2014 to 2017. Conducting horizontal joint research, cross-sectoral, cross-disciplinary research, and molecular diagnosis research are the deficiency of current research, and it should become the trend of research development.
Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
ObjectiveTo investigative current status and hotspot issues of pancreatic cancer imaging research.MethodsThe literatures focusing on pancreatic cancer and published from 2001 to 2020 were retrieved from the core database of Web of Science. The quantitative analysis of literatures was then conducted by using the CiteSpace software based on the bibliometric method. The research trend was then summarized systematically and the potential research fronts and focuses were explored.ResultsA total of 2111 articles in the field of pancreatic cancer imaging research were retrieved. The clustering of co-citation of pancreatic cancer included vascular resection, irreversible electroporation, autoimmune pancreatitis, sporadic pancreatic cancer, sarcopenia, pancreas, stereotactic body radiation therapy, metastatic pancreatic cancer, familial pancreatic cancer, abdominal ultrasonography, fibroblast, early diagnosis, time trends in survival, radiomics, pancreatitis, gemcitabine, concurrent chemoradiotherapy, adjuvant chemotherapy, and microbubbles. The burst keywords in the field of pancreatic cancer after 2016 included FOLFIRINOX, skeletal muscle, sarcopenia, and texture analysis. The hot keywords clustering had prognosis, fine needle aspiration, positron emission tomography, vascular invasion, angiogenesis, unresectable, liver transplant, extend pancreatectomy, transplantation, paclitaxel, metastatic colorectal cancer, colorectal cancer, microsatellite stable, radiomics, hospital volume, occult metastasis, risk factor.ConclusionIt might be the trend of imaging research to study the prognosis, risk factors, and quantitative sarcopenia of pancreatic cancer by using radiomics.
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.
Objective To review the literature written in English on hospital performance research and provide theoretical and practical references for research in the field of hospital performance in China. Methods Literature related to hospital performance published from 1972 to 2022 in the Web of Science Core Collection was retrieved. Microsoft Excel 2021 was used to analyze the annual publication volume of English literature in the field of hospital performance. CiteSpace 6.1.R6 software was used for co-occurrence analysis of countries/regions, institutions and authors, research hotspots and frontiers. Results A total of 1447 articles were ultimately included. The analysis of annual publication volume showed that the overall publication volume in the field of hospital performance was on the rise. The co-occurrence analysis of countries/regions indicated that the United States had the highest output of academic papers (548), followed by the United Kingdom and China (120 and 89 respectively). The most productive institution was Harvard University in the United States, and the most productive scholar was Harlan M. Krumholz from the Yale University School of Medicine in the United States. The most frequently occurring keyword was “care”. The clustering analysis of keywords revealed that the keywords in the field of hospital performance research were clustered into 12 categories. The top 5 keywords with the highest burst intensity included “acute myocardial infarction” “indicator” “US hospital” “predictor” and “administrative data”. Keywords such as “public hospital” “financial performance” “performance measurement” “framework” and “organizational performance” began to emerge in 2020 and had continued to the present. Conclusions The research hotspot in the field of hospital performance has shifted from focusing on individual performance to organizational performance. There is still a lot of room for research in this field in China, and the exploration of hospital performance evaluation and management models may continue to be research hotspots in this field in the future.
Objective To provide some theoretical reference and practical guidance for the medical risk management and early warning of private medical institutions, and to improve the service level and social reputation of private medical institutions. Methods China National Knowledge Infrastructure, Wanfang, VIP, and Web of Science database were searched for literature on medical risk management of private medical institutions published from the dates of establishment of databases to July 31, 2023. CiteSpace software was used for analysis. The aspects of literature number, literature source, author-institution cooperation, keyword co-occurrence, keyword clustering and burst were analyzed. Results A total of 2 635 literature were detected. Among them, there were 1446 articles in Chinese and 1189 articles in English. Although domestic research started late, it covered a wide range of disciplines and research fields. The Chinese literature showed a growth trend in the medium term, but the growth trend was slower than that of foreign literature. At the same time, the cooperation network of foreign authors and institutions was closer than that of domestic ones, and the overall development was relatively insufficient. There were differences between domestic and foreign research hotspots in terms of disciplines and research contents. Conclusions It is necessary to strengthen the theoretical and practical research on medical risk management of private medical institutions, and accelerate the construction of risk management and early warning models suitable for the characteristics of private medical institutions in China. In the future, the emerging research fields such as moral hazard, emergency and internal control need to be deepened and expanded.
ObjectiveTo analyze the relevant literatures on the use of midline catheters in China, and to provide references for further studies of midline catheters.MethodsAll literatures related to midline catheters from the date of database establishment to February 2019 were searched in the China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP), Wan-Fang Database, and China Biomedical Literature Database (CBM). Bibliometric analysis methods were used to analyze the search results.ResultsTotally 47 articles related to midline catheters were recruited and the number of publications increased in recent years. About 44.68% papers were focused on introducing experiences of the operation process, nursing points, prevention and treatment of complications, and about 38.30% papers were observational studies about indwelling time of midline catheters and complications rate.ConclusionsMore and more attention has been paid to the midline catheters, but further studies with large samples and high quality are still needed, in order to provide more evidence for the application and popularization of midline catheters in China, and choose a safe, comfortable, convenient, low-cost and high-benefit intravenous infusion device for patients.
Objective To review the research hotspots and cutting-edge dynamics in the field of hospital operations management, providing references for relevant research in our country. Methods Using CiteSpace 6.1.R6 software, we conducted a visual analysis of English literature in the field of hospital operations management collected from the Web of Science database Core Collection from the establishment of the database to December 31st 2022. Result A total of 808 articles were included, with the first article in the field of hospital operations management published in 1980 since the establishment of the Web of Science database. Over the 42-year period, annual publications had shown an increasing trend. Research outcomes were concentrated in institutions and researchers from Europe and the United States, but academic collaboration among institutions and authors was not particularly close. The hotspots in related fields mainly focused on aspects of care quality, management, and performance. Conclusions Studies on hospital operations management in China are in the early stage, and the international influence of research outcomes needs to be further strengthened. The research frontier has shifted from healthcare quality and safety to internal financial performance, human resource management, and resource allocation. Research on the application of technological methods in hospital operations management will continue to emerge.
Objective To understand the research status of social network analysis methods in the medicine and health field, help medical scientific research managers quickly understand the publication situation and research hotspots of the methods, and provide references for them to use social network analysis methods to enter deeper research. Methods PubMed, Web of Science, Springer Link, ScienceDirect, China National Knowledge Infrastructure, Wanfang and VIP databases were searched for related literature on social network analysis methods in the medical and health field from the establishment of databases to April 2022. Bibliometric analysis was used to analyze the included articles. Results A total of 432 articles were included, with 424 in Chinese and 8 in English. The included articles were published between 1993 and 2020, involving 154 journals and 913 key words. The number of documents increased rapidly at first, and then entered a stable stage. The hot research directions were the spread and prevention of diseases and the power of social support networks. Conclusions Although the number of applications of social network analysis methods in the medical and health field has increased year by year and the application flexibility has increased, the application depth is still lacking. Scientific researchers should dig deep into the research direction, combine theory with practice, and focus on innovation.
Objective To analyze relevant literatures of three-dimensional (3D ) imaging in liver using bibiometric analysis, and to provide a current status and hotspot in this filed in future for liver surgeon. Methods The bibliographies of liver 3D imaging from November 2007 to November 2017 in the PubMed database were downloaded. The publication years, journals, the first authors, and the frequency of subject headings+subheadings were extracted by Bicomb 2.0 software. The subject headings+subheadings appeared more than 10 times were intercepted as high frequency ones, then created the high frequency subject headings+subheadings co-occurrence matrix. SPSS 22.0 software was applied for clustering analysis with this matrix to get the topic hotspot. Results A total of 269 literatures were screened out. The research in this field reached its peak in 2016. The core area of journals contained 12 journals. There were 6 authors published at least 3 relevant literatures. The number of high frequency subject headings+subheadings was 16. The research hotspot of liver 3D imaging was precise liver surgery. Conclusion Research hotspot of application of 3D imaging in liver is precise liver surgery in recent 10 years.