Monthly Archives: September 2019
Tenofovir is Associated With Lower Risk of Hepatocellular Carcinoma Than Entecavir in Patients With Chronic HBV Infection in China
There have been conflicting results from studies comparing the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B virus (HBV) infection treated with tenofovir disoproxil fumarate (TDF) vs those treated with entecavir. We compar… Continue reading
An unusual web stricture in the cervical esophagus
Efficacy and Safety of Early vs Elective Colonoscopy for Acute Lower Gastrointestinal Bleeding
We performed a large, multicenter randomized controlled trial to determine the efficacy and safety of early colonoscopy on outcomes of patients with acute lower-gastrointestinal bleeding (ALGIB). Continue reading
Crohn’s disease with progressive renal impairment
Chemoprevention of Colorectal Cancer
Although colorectal cancer (CRC) screening has reduced the incidence and mortality from CRC, chemoprevention strategies have potential to further reduce CRC incidence and mortality. Chemoprevention agents might be used for average-risk as well as high-… Continue reading
“Double Lumen” Esophagus – A Striking Endoscopic Finding
Colorectal Cancer Incidence and Mortality After Removal of Adenomas During Screening Colonoscopies
Recommendation of surveillance colonoscopy should be based on risk of colorectal cancer and death after adenoma removal. We aimed to develop risk classification system based on colorectal cancer incidence and mortality following adenoma removal. Continue reading
Ability of Noninvasive Scoring Systems to Identify Individuals in the Population at Risk for Severe Liver Disease
Non-invasive scoring systems are used to identify persons with advanced liver fibrosis. We investigated the ability of scoring systems to identify individuals in the general population at risk for future liver-related events. Continue reading
An Uncommon Cause of Cholecystitis
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding
Scoring systems are suboptimal for determining risk in patients with gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate risk of hospital-based intervention or … Continue reading