ABSTRACT
Adenocarcinoma of esophagogastric junction (AEG) has a special anatomical position. In clinical practice, there are many overplays among thoracic surgeons, gastrointestinal surgeons, gastroenterologists and oncologists. In recent years, AEG has attracted more and more clinical attention with its increasing incidence. It has a tendency to be gradually separated from esophageal cancer and gastric cancer and be defined as a new special type of tumor. At present, there are still many controversies in the definition, classification, TNM staging, surgical approach, extent of resection, lymph node dissection, digestive tract reconstruction and neoadjuvant therapy of AEG. Meanwhile many problems still need to be solved, which is in a stage of gradual improvement and standardization. This article mainly reviews the important research progress in the field of AEG in 2019, summarizes the current clinical hotspots of AEG, especially the surgical treatment hotspots and the current application status of related new technologies, and aims the future development. We suggest that communication and cooperation among multiple disciplines should be strengthened. Through more clinical researches, basic experimental researches, and innovation and application of new technologies, personalized and accurate diagnosis and treatment will be carried out for patients with different conditions to ultimately achieve the common goal of maximizing the benefits of patients.
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Objective To analyze 10 WeChat official accounts of traditional Chinese medicine ( TCM) hospitals in Beijing and their data, to figure out the popular health topics well received by followers, for the purpose of disseminating health knowledge more precisely and efficiently in further work and public service. Methods Python and open API interface were used to scrawl the articles pushed by these accounts from July 1, 2018 to December 31, 2018, identifying topics of high Pviews and thumbs up as the text corpus of hot topics. Furthermore, working with text mining technology, the paper counted the term frequency(TF) and clustered the corpus to finally detect the most popular topics of health knowledge and needs of information by the public. Results Within the given period, the results showed that the top 5 key words with high TF in popular health science included: hypertension, cough, sleep, Gaofang( herbal paste) and pain. In the top 10 clustered hot topics, the followings received high level of public awareness and interpreted by more articles posted by the Wechat official accounts: kidney diseases, genital diseases(female/male) and seasonal affective disorder. Conclusions Methods used in the study can accurately round up popular TCM topics, practical needs of health knowledge of the people, and discover the disease diagnosis, treatment and health issues of the highest public concern, for guidance of the hospitals in their health education and popular science work using new media.
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Objective To analyze the published articles on the etiology of rheumatoid arthritis (RA) and catch the recent research hot topics.Methods Literature searching on the etiology of RA was conducted through PubMed database of US Congress Library of Medicine published in past five years.Bibliographic Item CO-Occurrence Matrix Builder (BICOMB) to bibliometric analysis and statistical product and service solutions (SPSS) 19.0 were used for cluster analysis and plotting strategic coordinate figure.Results Four research hot topics were identified by analyzing the keywords:① Therapeutic and adverse effects of antirheumatic agents;② Genetics and complications of RA;③ Immunity of autoantigens and autoantibodies in RA;④ Immune cells and microRNAs in RA.Conclusion Researches on RA etiology have developed steadily,with different current status and developing tendency,which provides reference for related studies.
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Objective To analyze the published papers in Chinese Journal of Cerebrovascular Diseases.Methods A total of 1 646 articles published in Chinese Journal of Cerebrovascular Diseases from January 2007 to December 2016 in China National Knowlege Internet (CNKI) database were retrieved,and 1 625 articles were included after checking duplicate and excluding invalid documents.The data in the CNKI Citation Database were reffered.Data processing and analysis were conducted by bibliometrics.Results The influencing factors of Chinese Journal of Cerebrovascular Diseases from 2007 to 2016 were 0.503 and 0.803,showing an overall growth trend.The average core citation rate remains stable at about 0.89.There were high productive authors cooperation teams,and the number of core authors accounted for 65.8％ (1069/1625) of the total number of papers.The main publishing organizations were concentrated in the three level of first-class hospital,such as Xuanwu Hospital,Capital Medical University,accounting for 27.3％ (444/1 625) of the total number of documents issued.Hot topics included intracranial aneurysms,cerebral infarction,cerebral ischemia,stent implantation,and so on.Conclusions Chinese Journal of Cerebrovascular Diseases steadily increases in its influence,and the research ability of the author groups is stronger.It is one of the most important information sources in the field of cerebrovascular disease research in China.
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Objective Based on scientific research grants to explore the feasibility of analyzing the subiect's hot topics. Methotis The CRISP(Computer Retrieval of Information on Scientific Projects)database of National Institutes of Health was used to retrieve the grants related of gene mechanism of essential hypertension in 2006. We obtained concepts from the fields of title and abstract by MetaMap. and then analyzed the key concepts about genes that were found more than 3 times. Results There were 73 related grants about that from CRISP in 2006. After processing the samples by MetaMap, we got 45 high frequency concepts about genes. which were divided into seven groups. Conclusions It iS feasible to analyze and study subject hotspot by scientific research grants. and it can be used to the supplement of normal literature analysis. MetaMap is a better tool for natural language processing, but also has some limitations.