Barber Carney (visionalloy7)
Conclusion This study summarizes latest evidence of RRT for patients with LALI and may provide guidance for clinical practice.Study registration number INPLASY202040082.Background Hyperlipidemia is a common disease characterized as blood lipid metabolism disorders, which is always companied with obesity. Hyperlipidemia is the leading cause of the cardiovascular disease (CVD) closely associated with mortality, and the risk can further elevate in the obese population. Additionally, it induces stroke and acute pancreatitis. Studies demonstrated that acupoint catgut embedding is an effective therapy for hyperlipidemia with obesity. Whereas, there is no systematic review and meta-analysis to support the point. Thus, we intend to conduct a systematic review and meta-analysis to testify its effectiveness in hyperlipidemia with obesity. Methods We will include articles by searching the following database PubMed, Embase, Web of Science, Cochrane Controlled Trials Register (CENTRAL), China National Knowledge Infrastructure (CNKI), China Biomedical Literature Database (CBM), Chinese Science Journal Database (VIP), and Wanfang database. PU-H71 manufacturer Whats more, the manual search can be executed as the complement of database searching. Endnote X8 and RevMan V.5.3 will be used to complete the process of study selection, data analysis, as well as date management. Result The primary outcomes contain the reduction of TC, TG, LDL-C, HDL-C, and BMI, body weight (WB), waist circumference(WC), body fat percent (F%) from baseline to the end of studies. The second outcome is the number of adverse events during the total trial. Conclusion We will summarize sufficient evidence to confirm the therapeutic effect and safety of acupoint catgut embedding in hyperlipidemia with obesity. Inplasy registration number INPLASY202040036.Background Data mining technology used in the field of medicine has been widely studied by scholars all over the world. But there is little research on medical data mining (MDM) from the perspectives of bibliometrics and visualization, and the research topics and development trends in this field are still unclear. Methods This paper has applied bibliometric visualization software tools, VOSviewer 1.6.10 and CiteSpace V, to study the citation characteristics, international cooperation, author cooperation, and geographical distribution of the MDM. Results A total of 1575 documents are obtained, and the most frequent document type is article (1376). SHAN NH is the most productive author, with the highest number of publications of 12, and the Gillies's article (750 times citation) is the most cited paper. The most productive country and institution in MDM is the USA (559) and US FDA (35), respectively. The Journal of Biomedical Informatics, Expert Systems with Applications and Journal of Medical Systems are the most productive journals, which reflected the nature of the research, and keywords "classification (790)" and "system (576)" have the strongest strength. The hot topics in MDM are drug discovery, medical imaging, vaccine safety, and so on. The 3 frontier topics are reporting system, precision medicine, and inflammation, and would be the foci of future research. Conclusion The present study provides a panoramic view of data mining methods applied in medicine by visualization and bibliometrics. Analysis of authors, journals, institutions, and countries could provide reference for researchers who are fresh to the field in different ways. Researchers may also consider the emerging trends when deciding the direction of their study.Introduction Synchronous colorectal and prostate malignancies are uncommon, with standard treatment guidelines not yet established. Chemoradiation therapy is involved in both colorectal and prostate cancers. However, differing dosage regimens and effects of irradiation field on anatomical planes for surgery makes management of the synchronous cancers challenging. We report the first case of sync
