为了解我国南方地区肺栓塞的现状,通过检索中国医院数字图书馆近9年(1999年～2008年)南方地区正式发表的与肺栓塞和深静脉血栓有关的论文共1288篇,进行了统计分析,发现:1、中国南方地区肺栓塞的发现数量逐年增加,且增幅明显;2、诊断水准达到一定程度的部分南方医院,诊断治疗肺栓塞的数量明显高于其他医院,并不比中国北方同类医院低;3、肺栓塞的漏诊、误诊现象依然普遍存在,提高认知和诊治水准仍然是今后工作的方向。
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 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.
ObjectiveTo investigate the hotspots from researches on imaging of pancreatic neuroendocrine tumor in recent five years. MethodsThe bibliographies from research literatures on imaging of pancreatic neuroendocrine tumor from 2010 to 2015 in PubMed database were downloaded. The Bicomb 2.0 bibliographies analysis software was used to count high-frequency of Mesh major topics (MJMEs). SPSS 22.0 statistical software was applied for clustering analysis with MJMEs, then to get the topic hotspots. ResultsA total of 357 literatures were screened out during the years of 2010-2015. The MJMEs which frequency > 13 were 28. Taken the 28 MJMEs into clustering analysis, then three research hotspots were clustered. ConclusionResearches on imaging of the pancreatic neuroendocrine tumor in recent five years are mainly in terms of imaging techniques, a comparative study of pathology and endoscopic ultrasonography-fine needle aspiration, imaging and disease treatment.
Objective To analyze the research status of immunonutrition in China based on Chinese databases, and to provide a reference for clinical practice and future research. Methods Literatures about the application of immunonutrition in nutrition support were searched in China National Knowledge Infrastructure, SinoMed, Chongqing VIP and Wanfang databases using bibliometrics methods. The retrieval time was up to August 2022, and the document characteristics such as the number of publications, the institutions and the citation frequency and other features were analyzed. Results A total of 725 literatures were included, with the highest number of literatures issued in 2015 and 2020, both 62. The areas with the most published literatures were Jiangsu (10.6%) and Guangdong (8.4%). The institutions with the most published literatures were General Hospital of Eastern Theater Command (4.8%) and West China Hospital of Sichuan University (3.9%). There were 78 dissertations and 647 journal articles in total. The most published journal was Parenteral & Enteral Nutrition (6.5%). The top three citations were all reviews. The degree of cooperation was 2.7, and the co-authorship rate was 70.1%. A total of 121 articles reported the supporting funds and projects. The research types included 499 original studies (68.8%) and 226 secondary studies (31.2%). The analysis of the subjects showed that immunonutrition was mostly applied to gastrointestinal diseases, especially gastrointestinal cancer patients, accounting for 42.5%. Nutritional support was divided into enteral nutrition and parenteral nutrition. Enteral nutrition was adopted in most literatures, accounting for 88.4%. Conclusions The research content of immunonutrition in Chinese database in China is relatively simple. Most of them focus on the comparison between immunonutrition and general nutrition support. The selection of immune nutrients and the application of immunonutrition in critically ill patients such as sepsis need further research.
With the development of artificial intelligence (AI) technology, great progress has been made in the application of AI in the medical field. While foreign journals have published a large number of papers on the application of AI in epilepsy, there is a dearth of studies within domestic journals. In order to understand the global research progress and development trend of AI applications in epilepsy, a total of 895 papers on AI applications in epilepsy included in the Web of Science Core Collection and published before December 31, 2022 were selected as the research objects. The annual number of papers and their cited times, the most published authors, institutions and countries, and their cooperative relationships were analyzed, and the research hotspots and future trends in this field were explored by using bibliometrics and other methods. The results showed that before 2016, the annual number of papers on the application of AI in epilepsy increased slowly, and after 2017, the number of publications increased rapidly. The United States had the largest number of papers (n=273), followed by China (n=195). The institution with the largest number of papers was the University of London (n=36), and Capital Medical University in China had 23 papers. The author with the most published papers was Gregory Worrell (n=14), and the scholar with the most published articles in China was Guo Jiayan from Xiamen University (n=7). The application of machine learning in the diagnosis and treatment of epilepsy is an early research focus in this field, while the seizure prediction model based on EEG feature extraction, deep learning especially convolutional neural network application in epilepsy diagnosis, and cloud computing application in epilepsy healthcare, are the current research priorities in this field. AI-based EEG feature extraction, the application of deep learning in the diagnosis and treatment of epilepsy, and the Internet of things to solve epilepsy health-related problems are the research aims of this field in the future.