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.
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.
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.
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.
With the increasing global burden of various cancer, an abundance of papers emerged every year in the research hotspots of oncology, covering a wide range of research types and topics. In order to facilitate interested readers to quickly grasp the frontier and hotspots of cancer research, it would be helpful to sort out and summarize the research topic in a timely manner. According to the classification of disciplines, we screened the Essential Science Indicators (ESI) hot papers released in 2019 for the ones in the oncology field, utilized methods such as bibliometrics, statistical description, hierarchical induction, analysis and interpretation to further reveal the context and characteristics of research in the field of oncology, summarized the latest progresses and future directions in the field, and provided information and hints for the trajectory of future research. A total of 549 papers were included, which were mainly from the field of clinical medicine; the country with the most publications was the United States, while China ranked the fourth in terms of contribution; the research institution with the highest number of published papers was University of Texas system; N Engl J Med published the most papers, with contribution also from highly influential journals in the field of oncology such as Lancet Oncol, J Clin Oncol, JAMA Oncol and Cancer Discov. Oncology remained the most popular research topic in the medical research and spanned a wide spectrum of sub-topics. In this study, we demonstrated and sorted out research frontiers in the field of oncology in 12 different research directions including the basic cancer research, cancer epidemiology, and various tumors types related to different systems and organs.
To explore the focus and trends in real-world studies in Chinese through knowledge mapping method, databases CNKI, VIP, Wanfang and Sinomed were retrieved, with 1 757 relevant articles published before September 30rd, 2020 finally included, whose bibliographical records were imported into NoteExpress to avoid duplication and check relativity. VOSviewer, a bibliometric analysis tool, was used to analyze their development. It was found that real-world studies have mainly taken shape after 2010, in which traditional Chinese medicine research plays an important role. China Journal of Chinese Material Medica was the leading journal with 120 papers, the China Academy of Chinese Medical Sciences the most contribution institution with 338 papers, and Xie Yanming from the institution the most contribution author with 250 papers. This study helps clinicians and researchers in better understanding the evolution of real-world research over more than two decades in China.
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 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 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.