Knowledge graph characteristics of sepsis research based on scientometric study / 中华危重病急救医学

Objective:To illustrate a relatively complete knowledge system (e.g., research outputs, current hotspots, and future trends) in the sepsis field and to help scholars grasp the scientific research direction or clinical focus of treatment.Methods:The relevant literatures of sepsis during the time from 1985 to 2019 in Web of Science database were collected. Sepsis-related research contents were generated using softwares (CiteSpace 5.6.R2 and VOSviewer 1.6.13), which using data mining, information processing and knowledge map methods, to analyze the historical evolution and predict the development trend.Results:A total of 8 189 papers on sepsis were published. The volume of publications were increasing yearly from 1985 to 2019, and reached the top list of 1 276 in 2019. For research contents of sepsis, it has formed the basic characteristics of sepsis which focusing on epidemiological studies and animal experiments. Through cluster analysis, the researches mainly focused on six aspects: septic rat, necrotizingenterocolitis, sepsis-associated encephalopathy, acute kidney injury (AKI), gut-derived sepsis, and inflammatory mediator. And it presented the literature characteristics that related to the injury or dysfunction of intestines, brain, liver, kidney or other organs, but the heart and lung researches were more marginal. Additionally, based on the top key words with the strongest citation bursts, it reflected that the development trend of the continuous attention hotspots with "endotoxin" or "endotoxin shock", the significant attention hotspots with "inflammation", "immunity" and "multiple organ dysfunction syndrome" (MODS), and the novel burst attention hotspots with sepsis management including "diagnosis" and "chemotherapy".Conclusions:Through the hotspots and trends visualization of sepsis, the current researches are prefer to animal experiments, epidemiology, or other basic scientific aspects. Meanwhile, the researches are mostly focusing on inflammatory reaction, immune function or organ dysfunctions. Integrating the knowledge maps of hotspots and trends, based on researches of epidemiology, diagnosis, risk factors, pathogenesis, or treatment, we predict that the future scientific topics will concentrating on childhood sepsis, organ injury mechanism or intervention relating to MODS, and integrated management of sepsis by combining traditional Chinese medicine and Western medicine.

Analysis of medication characteristics of traditional Chinese medicine in treating coronavirus disease-19 based on data mining / 浙江大学学报·医学版

OBJECTIVE@#To analysis the medication characteristics of the prescriptions issued via open channel by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine in treating coronavirus disease 2019 (COVID-19).@*METHODS@#We collected the data of traditional Chinese medicine related to treatment plans published by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine from the start of COVID-19 outbreak in Wuhan to February 19, 2020. The frequency analysis, cluster analysis and correlation analysis were performed.@*RESULTS@#The study collected 4 national and 34 regional prevention and treatment plans, 578 items, 84 traditional Chinese formulations, 60 Chinese patent medicines, and 230 Chinese herbs. The high frequently used herbs were , , , and . The commonly used traditional formulations included Decoction, Powder, and Decoction. The Chinese patent drugs included Pill, Injection, and Capsule. The most common paired medications were and , and . Two core combinations and one novel formula were discovered in the study.@*CONCLUSIONS@# Powder and Decoction are the basic formulations for syndrome of COVID-19. In addition, Decoction, Powder, Decoction and Decoction are the basic formulations for syndrome of COVID-19. The main medication characteristics are clearing heat, entilating lung, removing toxicity and removing turbidity. It shows that removing toxicity and eliminating evil are the prescription thought in treating epidemic disease of traditional Chinese medicine.

Analysis of medication characteristics of traditional Chinese medicine in treating COVID-19 based on data mining / 浙江大学学报·医学版

OBJECTIVE@#To analysis the medication characteristics of the prescriptions issued via open channel by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine in treating coronavirus disease 2019 (COVID-19).@*METHODS@#We collected the data of traditional Chinese medicine related to treatment plans published by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine from the start of COVID-19 outbreak to February 19, 2020. The frequency analysis, cluster analysis and association analysis were performed.@*RESULTS@#The study collected 4 national and 34 regional prevention and treatment plans, 578 items, 84 traditional Chinese formulations, 60 Chinese patent medicines, and 230 Chinese herbs. The high frequently used herbs were , and . The commonly used traditional formulations included decoction, powder, and decoction. The Chinese patent drugs included pill, injection, and capsule. The most common paired medications were and and Two core combinations and one novel formula were discovered in the study.@*CONCLUSIONS@# powder and decoction are the basic formulations for syndrome of COVID-19. In addition, decoction, powder, decoction and decoction are the basic formulations for syndrome of COVID-19. The main medication characteristics are clearing heat, entilating lung, removing toxicity and removing turbidity. It shows that removing toxicity and eliminating evil are the prescription thought in treating epidemic disease of traditional Chinese medicine.