ABSTRACT
Background In recent years, due to the increasing number of e-cigarette users, the health problems caused by e-cigarettes are attracting people's attention. Objective This study is designed to analyze the characteristics of e-cigarette-related research literature, research trends, and its toxicity from 2010 to 2020 through bibliometric analysis to provide a reference for studies related to the health effects of e-cigarettes. Methods The studies related to e-cigarettes in the Web of Science were retrieved, and the functions of "Creating citation report" and "Analyzing retrieval results" provided by Web of Science were used to conduct statistical analysis on publication time, literature type, publication source, country/region, research interests, research institution, etc. With the help of the knowledge function of CiteSpace V5.7, author collaboration, organization cooperation, keyword co-occurrence and keyword emergence, and reference co-citation were visualized. Results A total of 3094 studies related to health risks of e-cigarettes (public health) wereretrieved from 2010 to 2020, and the number of articles published between 2018 and 2020 accounted for 54.7% of total number. The top research institutions were from the United States (68.0%), the United Kingdom (7.6%), and Canada (6.1%). The most published author is King BA (67). The journal that published the most relevant studies was Nicotine Tobacco Research (536). The hot topics of e-cigarette research included "socioeconomic patterning," "multiple healthy behaviors," "expressive suppression emotion regulation strategies," "smoking cessation intervention studies" and "computer-delivered brief intervention". The burst intensity of keywords "cigarette smoking" was the highest, reaching 24.2. Between 2010 and 2020, the keywords "Nicotine dependence" and "Disease" emerged for the longest period of five years. "Policy" was the latest high-frequency word. The literature "Levels of selected carcinogens and toxicants in vapour from electronic cigarettes" was cited for the highest frequency, totaling 266 times. Conclusion The number of articles published has notably increased in 2018-2020, suggesting that researchers are paying attention to the health risks of e-cigarettes worldwide. The United States leads the world in the research of e-cigarette health risks. The future research direction will be focused on e-cigarette policy.
ABSTRACT
The main fundus changes of pathologic myopia (PM) are posterior staphyloma (PS) and myopic maculopathy (MM), which includes myopic atrophy maculopathy (MAM), myopic tractional maculopathy (MTM), myopic neovascular maculopathy (MNM) and so on. The clinical manifestations of PM-related fundus lesions are complex, and the classification of PM has been a research hotspot in recent years. The proposal of each classification shows an increasing understanding of PM, and each classification has its advantages but also imperfections. For MM, it is recommended to refine the MTM classification based on the ATN classification and adjust it according to the internal correlation between MAM and MNM. The rapid development of modern imaging technology will promote the continuous update of the classification, and its further improvement will also help to understand the development process of PM, which has important clinical value in preventing its occurrence and progression.
ABSTRACT
The main fundus changes of pathologic myopia (PM) are posterior staphyloma (PS) and myopic maculopathy (MM), which includes myopic atrophy maculopathy (MAM), myopic tractional maculopathy (MTM), myopic neovascular maculopathy (MNM) and so on. The clinical manifestations of PM-related fundus lesions are complex, and the classification of PM has been a research hotspot in recent years. The proposal of each classification shows an increasing understanding of PM, and each classification has its advantages but also imperfections. For MM, it is recommended to refine the MTM classification based on the ATN classification and adjust it according to the internal correlation between MAM and MNM. The rapid development of modern imaging technology will promote the continuous update of the classification, and its further improvement will also help to understand the development process of PM, which has important clinical value in preventing its occurrence and progression.
ABSTRACT
Objective To establish a lncRNA prognostic risk model for gastrointestinal tumors based on the TCGA database and evaluate the prognosis of patients. Methods We collected the data of patients with esophageal cancer, gastric cancer, colon cancer and rectal cancer in the TCGA database. Univariate Cox analysis, Lasso and multivariate Cox analysis were performed to construct the prognostic risk scoring model. The model was validated and tested for independence. Time-dependent ROC curve analysis was performed to evaluate the clinical application value of the model. Results We established a prognostic risk model based on 13 lncRNAs. The three-year AUC of the training set and the validation set were 0.746 and 0.704, respectively. The pan-cancer data set was divided into high- and low-risk groups for survival analysis. The 5-year survival rate of the low-risk group was significantly higher than that of the high-risk group; among all cancer types, the five-year survival rates of the low-risk group were higher than those of the high-risk group. Multivariate Cox analysis showed that the risk score could be an independent indicator of prognosis. Conclusion The 13-gene prognostic risk score model is constructed successfully. The risk score obtained by this model can be used as an independent prognostic predictor of the patients with gastrointestinal cancer.