Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis.

Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting 30-day mortality in non-cholestatic cirrhosis.

Methods: A total of 932 cirrhotic patients were included from the First Affiliated Hospital of Soochow University between 2014 and 2020. Participants were divided into training and validation datasets at a ratio of 8.

HDL-C levels added to the MELD score improves 30-day mortality prediction in Asian patients with cirrhosis.

Objectives: Lower high-density lipoprotein cholesterol (HDL-C) levels have been observed in chronic liver disease patients. The aim of this study was to develop a model that incorporates HDL-C levels and the Model for End-stage Liver Disease (MELD) score to predict 30-day mortality in Asian cirrhosis patients.

Methods: Cirrhosis patients were recruited from two hospitals in this retrospective observational study.

Pancreatic cancer incidence and mortality patterns in 2006-2015 and prediction of the epidemiological trend to 2025 in China.

Background: Due to dietary patterns, the aging population, and other high-risk factors, the occurrence of pancreatic cancer (PC) has been rapidly increasing in China.

Aim: To present the epidemiological trends of PC in China over the past decade and the estimated trend in 2025 and to compare the international differences in PC morbidity and mortality.

Methods: This study used a series of nationally representative data from the National Central Cancer Registry of China (NCCR), the International Agency for Research on Cancer and the Institute for Health Metrics and Evaluation databases.

Encapsulating peritoneal sclerosis in an AMA-M2 positive patient: A case report.

Background: Encapsulating peritoneal sclerosis (EPS) is hard to diagnose because of nonspecific symptoms and signs. It is a general consensus that EPS is classified as primary and secondary. There have been several studies discovering some high-risk factors such as liver cirrhosis, of which AMA-M2 is a biomarker, and intra-abdominal surgery such as laparoscopic surgery.

The treatment efficacy of adding prokinetics to PPIs for gastroesophageal reflux disease: a meta-analysis.

Background: Gastroesophageal reflux disease (GERD) is a common gastrointestinal disorder. Proton pump inhibitors (PPIs) are first-line drugs for GERD. For those who fail to respond to PPIs, adding prokinetics to PPIs is recommended and several trials have been conducted to evaluate the efficacy of prokinetic-PPI combination therapy.

Validation of the Toronto hepatocellular carcinoma risk index for patients with cirrhosis in China: a retrospective cohort study.

Background: The Toronto hepatocellular carcinoma (HCC) risk index (THRI) was developed to predict HCC in patients with cirrhosis. This study aimed to validate the THRI in a 10-year Asian cohort.

Methods: A total of 2836 patients with cirrhosis at the First Affiliated Hospital of Soochow University between January 2008 and May 2018 were evaluated.

High expression of TRIM36 is associated with radiosensitivity in gastric cancer.

Radiotherapy is one of the main adjuvant treatments for gastric cancer (GC) that can effectively reduce local recurrence and improve survival rates. However, radiotherapy may result in cytotoxicity and not benefit all patients. This highlights the requirement for identifying potential radiosensitivity genes in GC.

Epidemiological Trends in Gastrointestinal Cancers in China: An Ecological Study.

Background: In recent decades, the patterns and trends of gastrointestinal (GI) cancer epidemics in Chinese population have been changing.

Aims: To present the epidemiological trends and geographic distributions of four major GI cancers (esophageal cancer, stomach cancer, liver cancer and colorectal cancer) in China from 2010 to 2014.

Methods: It used standardized data extracted from the National Central Cancer Registry database.