Clinical Characteristics and Outcomes of Severe and Critical Patients With 2019 Novel Coronavirus Disease (COVID-19) in Wenzhou: A Retrospective Study.

Information about severe cases of 2019 novel coronavirus disease (COVID-19) infection is scarce. The aim of this study was to report the clinical characteristics and outcomes of severe and critical patients with confirmed COVID-19 infection in Wenzhou city. In this single-centered, retrospective cohort study, we consecutively enrolled 37 RT-PCR confirmed positive severe or critical patients from January 28 to February 16, 2020 in a tertiary hospital.

Fibrinogen-like protein 2 prothrombinase may contribute to the progression of inflammatory bowel disease by mediating immune coagulation.

Inflammation and coagulation are interdependent processes that enable each process to activate and propagate the other in inflammatory bowel disease (IBD). Thus, we investigated the role of a novel immune coagulant, fibrinogen-like protein 2 prothrombinase (FGL2), in patients and mice with IBD. 83 IBD patients and 40 normal controls were enrolled, and trinitro-benzene-sulfonic acid (TNBS)-induced colitis mice were used.

The 50 Most-cited Articles in Gastroenterology and Hepatology from Mainland China.

Objective: To identify and analyze the 50 most-cited gastroenterology and hepatology articles originating from mainland China.

Methods: We utilized the 2015 edition of Journal Citation Reports and PubMed to determine the 50 most-cited gastroenterology and hepatology articles from 75 professional journals and four leading journals in clinical medicine, which are The New England Journal of Medicine, The Lancet, The Journal of the American Medical Association, and The British Medical Journal. Then we excluded the articles written outside mainland China and collected the basic information, including the title, authors, year of publication, source journal, city, institution, number of citations, and topic of the research.

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

Background: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model analysis, retrospective analysis, and so on, but the results are inconsistent.

Materials And Methods: A total of 696 patients with lung cancer were enrolled. The factors were compared employing Student's t-test or the Mann-Whitney test or the Chi-square test and variables that were significantly related to the presence of deep fungal infection selected as candidates for input into the final artificial neural network analysis (ANN) model.

The addition of S-1 to gemcitabine-based chemotherapy improves survival with increased toxicity for patients with advanced pancreatic cancer: combined meta-analysis of efficacy and safety profile.

Purpose: To investigate the efficiency and safety profile of the addition of S-1 to gemcitabine (GEM)-based chemotherapy for advanced pancreatic cancer (APC).

Methods: Computerized search was undertaken to identify randomized controlled trials of S-1 plus GEM versus GEM monotherapy in APC patients. The outcomes included overall survival (OS), progression-free survival (PFS), response rate, and toxicities.

Use of an artificial neural network to predict risk factors of nosocomial infection in lung cancer patients.

Statistical methods to analyze and predict the related risk factors of nosocomial infection in lung cancer patients are various, but the results are inconsistent. A total of 609 patients with lung cancer were enrolled to allow factor comparison using Student's t-test or the Mann-Whitney test or the Chi-square test. Variables that were significantly related to the presence of nosocomial infection were selected as candidates for input into the final ANN model.

Metal versus plastic stents for malignant biliary obstruction: an update meta-analysis.

Background And Objective: The data on comparisons of stent patency, re-intervention rate and patient survival between metal and plastic stents in palliation of malignant biliary obstruction have never been pooled. We carry out a meta-analysis to summarise current evidence for clinical efficacy of metal and plastic stents in the treatment of malignant biliary obstruction.

Methods: A comprehensive search of several databases was conducted.

Use of artificial neural network to predict esophageal varices in patients with HBV related cirrhosis.

Background: Prediction of esophageal varices in cirrhotic patients by noninvasive methods is still unsatisfactory.

Objectives: To evaluate the accuracy of an artificial neural network (ANN) in predicting varices in patients with HBV related cirrhosis.

Patients And Methods: An ANN was constructed with data taken from 197 patients with HBV related cirrhosis.

Endoscopic sphincterotomy plus endoprostheses in the treatment of large or multiple common bile duct stones.

Background And Aim: Little information is available on the outcomes of endoscopic sphincterotomy plus biliary stent placement without stone extraction as primary therapy at initial endoscopic retrograde cholangiopancreatography (ERCP) in the treatment of large or multiple common bile duct (CBD) stones. The aim of the present study was to study the effect of biliary stents and sphincterotomy as primary therapy for patients with choledocholithiasis.

Methods: Patients with large (≥20 mm) or multiple (≥3) CBD stones were retrospectively studied.

Prediction of large esophageal varices in cirrhotic patients using classification and regression tree analysis.

Objectives: Recent guidelines recommend that all cirrhotic patients should undergo endoscopic screening for esophageal varices. That identifying cirrhotic patients with esophageal varices by noninvasive predictors would allow for the restriction of the performance of endoscopy to patients with a high risk of having varices. This study aimed to develop a decision model based on classification and regression tree analysis for the prediction of large esophageal varices in cirrhotic patients.

Predictors of esophageal varices in patients with HBV-related cirrhosis: a retrospective study.

Background: All patients with liver cirrhosis are recommended to undergo an evaluation of esophageal varices (EV) to assess their risk of bleeding. Predicting the presence of EV through non-invasive means may reduce a large number of unnecessary endoscopies. This study was designed to develop a predictive model for varices in patients with Hepatitis B virus-related cirrhosis.

[Study on the value of Helieobacter pylori (H. pylori) stool antigen immunocard STAT in the diagnosis of H. pylori infection: a meta-analysis].

Objective: To evaluate the accuracy of the Helicobacter pylori (H. pylori) stool antigen (HpSA) test and ImmunoCard STAT HpSA in the primary diagnosis of H. pylori infection.