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.
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.
ObjectiveTo investigate current status and hot issues of pancreatic neuroendocrine neoplasm (pNEN) imaging research.MethodsThe literatures focusing on pNEN and published from 1998 to 2018 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 bibliometrics method. The research trend was then summarized systematically and the potential research fronts and focuses were explored.ResultsA total of 190 articles in the field of pNEN imaging research were retrieved, and the top three countries in the literatures were the United States, Germany, and Italy. The clustering of co-citation of pNEN included the endoscopic ultrasound, current diagnosis, prospective evaluation, cystic pancreatic neuroendocrine tumor, hypervascular neuroendocrine tumor, nonfunctioning pancreatic neuroendocrine tumor, intravoxel incoherent motion, and metastastic lesion. The hot of keywords in the field of pNEN included the fine needle aspiration, CT, diagnosis, pancreas, cancer, neuroendocrine tumor, neoplasm, carcinoma, and management. The hot keywords clustering had the neuroendocrine tumor, pancreatic mass size, non-hyperfunctioning neuroendocrine tumor, CT appearance, metastatic lesion, ancillary studies, somatostatin analogues, somatostatinoma, intraoperative ultrasound, and multiple endcorine neoplasia 1.ConclusionAccurate imaging diagnosis of pNEN is still a hot issue in this field.
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 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.
ObjectiveTo analyze the current research status of radioactive iodine (RAI) therapy for differentiated thyroid cancer (DTC) in the past 10 years so as to understand the research hotspots and future development in this field through a bibliometric visualization analysis. MethodsThe literature relevant DTC RAI therapy published from 2014 to 2023 was screened using the Web of Science database. The publication time, country, institution, author, keywords, and other content of literature were analyzed, and the multidimensional scientific research network was constructed, and the visualization analysis was performed using RStudio and Flourish software. ResultsA total of 2 018 studies related to DTC RAI therapy were screened out from the publications from 2014 to 2023, with a fluctuating trend of increasing publication numbers. The publication numbers in China ranked first (422 articles), followed by the United States (374 articles) and Italy (182 articles). In terms of international cooperation, the United States ranked first with the most leading collaborations (289 times), and the top 3 countries in terms of cooperation with the United States were Italy (33 times), China (21 times), and France (21 times). China ranked fifth in leading cooperation, relatively less (52 times), with the main collaborators being Japan (7 times), South Korea (6 times), and Australia (5 times). Half of the top 6 institutions in terms of publication numbers were from the United States, with the top 3 being Unicancer from France (135 articles), Memorial Sloan Kettering Cancer Center from the United States (134 articles), and the UT MD Anderson Cancer Center from the United States (89 articles). Beijing Union Medical College Hospital and Shanghai Jiao Tong University ranked 19th and 23rd, respectively, with article counts of 46 and 44 articles. Tuttle RM, an author from the United States, ranked first in both publication numbers and contribution, with a total of 48 articles published from 2014 to 2023. There were two authors, Lin YS and Tan J, from China who had made it into the top 10 in terms of publication numbers, with 32 and 25 publications, respectively. The trend topics showed the evolution of hot topics, covering from the relation between urinary iodine and DTC, lymph node metastasis, to innovative research and prognosis assessment, as well as in-depth exploration of new therapies for iodine-refractory DTC. The co-occurrence and clustering of keywords included 4 aspects, namely, the standardized management of DTC, related contents during the peri-treatment period, papillary thyroid carcinoma, and the exploration of targeted therapy for iodine-refractory DTC. ConclusionsIn recent years, the research focus in the field of DTC RAI therapy has shifted from technical applications to management concepts, which has also promoted the improvement of treatment modes and made patients’ treatment plans increasingly personalized and precise. Future research will focus on precision medicine, individualized treatment, the combination of targeted therapy and immunotherapy, resistance mechanisms to treatment, and long-term management after treatment, aiming to improve patients’ treatment outcomes and quality of life and achieve a revolutionary breakthrough in treatment.
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.
With the heavier burden of cardiovascular disease, an abundance of papers emerge every year in the research hotspots, which cover a wide range of types and content. In order to let readers interested in the cardiovascular field quickly understand the research hotspots and research frontier, it is necessary to sort out and summarize the research topic in time. According to the discipline classification, we screened papers in cardiovascular field from the Essential Science Indicators (ESI) hot papers published in 2019. Methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation were used a step further to reveal the context and characteristics of research in the field of cardiovascular diseases, summarize the latest progress and development direction in this field, and provide information and hints for the expansion of future research directions. A total of 297 papers were finally included, which were mainly in the field of clinical medicine; The country with the most publications was the United States, while China ranked the fifth in terms of contribution; the research institution with the highest number of published papers was Harvard University; the New England Journal of Medicine (NEJM) has published the most papers, with contribution also from journals such as Circulation, Europe Heart Journal, JAMA, and Lancet. All the papers were categorized into disease burden, disease risk, drug treatment, device treatment and surgical treatment, clinical diagnosis, basic research and others, so as to review and summarize the research front in the field of cardiovascular diseases.
Objective To analyze and discuss the research progress, hot spot, frontier and trend of the influence of high frequency hand hygiene on hand skin symptoms and hand microflora of health care workers by bibliometric analysis. Methods PubMed, Embase, Web of Science, Scopus, CNKI, Wanfang database, Chinese Biomedical Literature Service System and Cochrane Library were searched for related literatures on the effects of high-frequency hand hygiene on hand skin symptoms and hand microflora of health care workers from January 1st, 2014 to December 31th, 2024. NoteExpress 3.7.0.9296 and CiteSpace 6.1.R3 software were used to analyze the popular topics and generate a visual map to further refine research trends. Results A total of 1 607 articles were retrieved, and 126 were included after screening. The number of publications was relatively low before 2019, followed by a fluctuating upward trend from 2019 onward, reaching its peak in 2020. After 2020, the number of publications gradually declined and subsequently stabilized at a consistent level. Keyword co-occurrence analysis and keyword cluster analysis showed that the research focuses on the influence of high-frequency hand hygiene on hand skin symptoms and hand microflora of health care workers were hand eczema, hand sanitizer and protective equipment. The keyword burst analysis showed that the keyword with the strongest outbreak intensity was 2-propanol while the keyword with the longest outbreak duration was staphylococcus aureus. Conclusions In recent years, the influence of high frequency hand hygiene on hand skin symptoms and hand microflora of health care workers has gradually attracted attention. Current research highlights indicate that studies on different types of hand skin symptoms caused by high-frequency hand hygiene, the variation patterns of hand microbiota, the rationality of hand hygiene frequency in various medical work scenarios, and the development and application of protective hand sanitizer formulations or devices will become future research trends.
Objective To systematically analyze the research landscape of China’s rehabilitation industry, identify core contradictions and evolutionary pathways, and provide evidence for policy optimization and academic innovation. Methods Literature published up to December 31, 2024 was retrieved from China National Knowledge Infrastructure, Wanfang, and Chongqing VIP databases using rehabilitation industry as the subject term. Bibliometric methods such as keyword clustering, strategic coordinate analysis, temporal evolution (CiteSpace and R language) were employed to dissect research patterns, hotspot evolution, and innovation bottlenecks of the rehabilitation industry. Results Finally, 183 articles were included for analysis. China’s rehabilitation research exhibits a policy-driven, fragmented pattern (policy-focused journals accounted for 25.68% of publications; the Ministry of Civil Affairs had the highest publication volume, accounting for 2.19%. There was a structural disconnect between demand and research: on the one hand, the outbreak of elderly rehabilitation demand was marginalized in research (located in the lower left quadrant of the strategic coordinates, but keyword clustering dissolved in the “# 0 rehabilitation industry”); on the other hand, although exercise rehabilitation was a hot topic (ranked first in frequency, centrality>0.1), its maturity was insufficient (located in the lower right quadrant of the strategic coordinates). The research hotspots continued to shift towards “integration of industry and education” and “high-quality development” (temporal evolution), with the emergence of the term “rehabilitation” (strength=4.09) marking a historical focus, while technology transformation and collaboration in the public welfare market (isolation of the language rehabilitation industry) had become key breakthrough directions. Conclusion The rehabilitation industry in China urgently needs to break the dilemma of “high yield and low cooperation”, promote research and practice collaboration through three-dimensional innovation of technology education system, and support the rehabilitation needs of an aging society.
