Objective To investigate the symptom,esophageal motility characteristics and the prevalence of gastroesophageal reflux disease(GERD)in patients with typeⅠ,Ⅱand Ⅲ gastroesophageal junction (EGJ)diagnosed by high resolution esophageal manometry(HREM).Methods From 6th January to 27th December in 2012,the clinical data of 171 patients with reflux symptoms and received HREM were retrospectively analyzed.According to the Chicago classification V.3.0,the patients were divided into EGJ type Ⅰ,Ⅱ and Ⅲ groups.The age,body mass index(BMI),GERD related symptoms,esophageal motility parameters and the incidence of GERD were compared among the three groups.Chi-square test, t test and analysis of variance were used for statistical analysis.Relationship between EGJ types and other variables were analyzed by Spearman rank correlation.Results In 171 patients,136 cases(79.5%)with type Ⅰ EGJ,22 cases(12.9%)with type Ⅱ EGJ and 13 cases(7.6%)with type Ⅲ EGJ.The age of patients with type Ⅱ EGJ was significantly older than that of patients with type Ⅰ EGJ((56.5 ± 2.3) years vs(48.6 ± 1.0)years,t=2.992,P=0.003),however the differences were not statisticant when compared with type Ⅲ EGJ patients((51.2 ± 3.8)years,P> 0.05).The BMI of patients with typeⅢ EGJ was higher than that of typeⅠand typeⅡEGJ patients((26.0 ± 1.3)kg/m2vs(21.9 ± 0.3)kg/m2and (23.5 ± 0.6)kg/m2),and the difference was statistically significant(t=4.082 and 2.108,both P<0.05). The resting pressure of lower esophageal sphincter(LES)of patients with type Ⅱ and Ⅲ EGJ were lower than that of typeⅠEGJ((10.6 ± 1.5)mmHg(1 mmHg=0.133 kPa)and(3.4 ± 0.7)mmHg vs(17.1 ± 0.7)mmHg),and the resting pressure of LES of type Ⅲ EGJ was lower than that of type Ⅱ EGJ((3.4 ± 0.7)mmHg vs(10.6 ± 1.5)mmHg),and the differences were all statistically significant(t= -3.882,-6.411 and -2.769,all P< 0.01).The amplitude of contraction at 11 cm above LES and distal contractile integral(DCI)of patients with type Ⅲ EGJ were both lower than those of patients with typeⅠ EGJ((32.2 ± 5.4)mmHg vs(48.5 ± 2.5)mmHg,and(392.0 ± 94.1)mmHg·s·cm vs(805.1 ± 61.4)mmHg·s·cm),and the differences were statistically significant(t= -2.580 and -2.041,both P<0.05).The incidences of GERD in patients with type Ⅰ,Ⅱ and Ⅲ EGJ were 68.4%(93/136), 77.3%(17/22)and 10/13,respectively,and the difference was not statistically significant(χ2 =1.021, P=0.600).EGJ types were positively correlated with age and BMI(r= 0.214 and 0.290,both P<0.01).However,EGJ types were negatively correlated with the LES resting pressure,contraction amplitudes at 7 cm and 11 cm above the LES,and DCI(r= -0.474,-0.182,-0.333 and -0.191,all P<0.05).Conclusions Aging,overweight and obesity are risk factors of the LES and crural diaphragm separation.EGJ types are not predictable based on symptoms.The esophageal motility seems to decrease in patients with type Ⅱ and Ⅲ EGJ,the incidence of GERD in patients with type Ⅰ,Ⅱ and Ⅲ EGJ are all high.

Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends. Methods Through bibliometrics methods and CiteSpace information visualization software, we applied the visual analysis of relevant literature on artificial intelligence in the field of cancer research retrieved from the Web of Science core collection database from 2010 to 2019. Results The number of published articles about artificial intelligence in the field of cancer research had been increasing year by year. The United States ranked first in the number of published articles in this field, the number of citations and cooperation capabilities. Although the number of published articles in China ranked the second, the number of citations was low. The hot spots of artificial intelligence in cancer research were mainly breast cancer and lung cancer. Machine learning, neural network and other methods were used to build models, which were used in basic cancer research, clinical diagnosis, treatment and prognosis prediction. The research frontiers were the methodological research of artificial intelligence, the research on the occurrence and classification of cancer and the research of protein in this field. Conclusion It will effectively promote the development of artificial intelligence in cancer research in China by learning the hot spots and cutting-edge technologies of international research, focusing on international cooperation and cooperation among national institutions and strengthening cross-disciplinary research.

Objective: To investigate the genotype and genetic characteristics of the pathogens associated with the epidemic outbreak of acute gastroenteritis(AGE) in Guangyuan city, Sichuan province. Methods: Eighteen stool samples and 15 anal swab samples from 4 AGE outbreaks were collected from Feb 2017 to May 2017. Norovirus (NoV) nucleic acid was detected by Real-time PCR method , and the positive samples were amplified by conventional reverse transcription-polymerase chain reaction (RT-PCR) and nucleotide sequencing. Results: Four AGE outbreaks were all caused by NoV. And 20 (60.6%) samples were positive for NoV GⅡ. Gene sequence comparison and phylogenetic analysis showed that 4 AGE outbreaks were all caused by GⅡ.P16/GⅡ.2 NoV. All the strains of GⅡ.P16/GⅡ.2 NoV shared high homology in nucleotides. One of the outbreaks was caused by GⅡ.P16/GⅡ.2 and GⅡ.P7/GⅡ.14 NoV co-infection. Conclusions The 4 outbreaks of AGE in Guangyuan city, Sichuan province were major caused by GⅡ.P16/GⅡ.2 NoV, meanwhile GⅡ.P16/GⅡ.2 and GⅡ.P7/GⅡ.14 NoV co-infection existed.