View clinical trials related to Gastritis.
Filter by:By combining the measurement of blood pressure in both arms with the information of the four diagnoses of TCM, we try to form a diagnostic model of "five diagnoses combined with ginseng" based on TCM Zang-fu syndrome differentiation. It can further objectify and visualize the fuzzy four diagnostic indicators of TCM. In order to solve the problem of data differentiation of TCM four diagnoses, and optimize the five diagnoses of TCM conjunctive index, explore the establishment of TCM intelligent diagnosis and treatment and contact evaluation computer system
The purpose of this study is to develop and validate a clinical decision support system based on automated algorithms. This system can use natural language processing to extract data from patients' endoscopic reports and pathological reports, identify patients' disease types and grades, and generate guidelines based follow-up or treatment recommendations
This is a longitudinal observational study on patients with gastrointestinal and related disease. The study will be conducted for at least 10 years, following each participant over time, as they either go through relapses and remissions, or progression of their disease.
The clinical management of H. pylori infection depends essentially on two factors, prevalence and local resistance. In Germany, only limited data from rather small cohorts currently exist regarding both factors. Knowledge of the current prevalence (accounting for socioeconomic factors and age) is important for the selection of suitable detection methods, as this influences the positive and negative predictive value of the respective diagnostic methods. Current data on antibiotic resistance are essential for efficient therapy. In this clinical study, we will collect data on the frequency and severity of H. pylori infections and then, after endoscopic examination, on antibiotic resistance. Knowledge of the resistance situation is necessary for the selection of suitable therapeutic regimens. Furthermore, molecular methods for resistance detection are to be compared with conventional microbiological methods in order to be able to detect resistance more quickly. Furthermore, we aim to identify specific parameters for early detection of patients at particularly high risk of gastric cancer or with precancerous lesions due to infection. The aim is to identify carcinogenesis-relevant factors such as gastric microbiome signatures that will make it possible to identify patients who are most likely to benefit from prophylactic eradication therapy in terms of risk stratification.
Painless endoscopy technology can make patients comfortable under anesthesia, but because of the painless inside.The diagnosis and treatment time of endoscopic examination is short, and the transport is fast. Anesthesia related wind such as deep breathing depression and hypoxemia will occurRisks.Eeg depth monitoring can assist anesthesiologists to evaluate the depth of anesthesia and reduce the risk. Artificial intelligence is adopted.There are few reports on the evaluation of anesthesia depth and drug dosage by electroencephalogram (EEG) monitoring in outpatient patients with painless gastroenteroscopy.
The objective of this study is to observe the preventive effects of high flow nasal oxygenation on the incidence of hypoxia during gastroscopy or colonoscopy sedated with propofol in high-risk patients.
To explore the efficacy and safety of "Manpixiao" in the treatment of Chronic Atrophic Gastritis.
This is an observational cohort study of clinical efficacy study.The purpose of this topic is to evaluate the efficacy and safety of Modified Liujunzi Decoction based on syndrome differentiation in patients with chronic atrophic gastritis(CAG) after HP eradication.Taking Modified Liujunzi Decoction as the observation group and Weifuchun routine treatment as the control group, so as to provide evidence for the treatment of CAG and reduce the risk of gastric cancer. A total of 284 patients were included. The curative efficacy, symptom score and adverse events will be recorded and analyzed.
The aim of this study is to develop and assess the feasibility and effect of a web-based, personalized risk-estimation for Crohn's disease (PRE-CD) tool on behaviors and biomarkers associated with risk for Crohn's disease in unaffected first-degree relatives of patients with inflammatory bowel disease. We hypothesize that personalized risk disclosure via the PRE-CD educational tool is both feasible and successful in modifying behaviors associated with Crohn's disease risk and normalizing pre-clinical disease biomarkers when compared to standard Crohn's disease education. Broadly, completion of this project will also help elucidate the role of lifestyle and dietary factors in pre-clinical Crohn's disease development in high-risk individuals, and provide novel insight into potential strategies for disease prevention in this population.
This is a 3-part study. Part A is randomized, double-blinded, placebo-controlled and includes patients with eosinophilic gastritis and/or duodenal-only disease. After completing Part A, participants can continue to Part C - open-label benralizumab treatment period. Following the decision to close enrollment, patients in both Part A and Part C will be given the option to proceed to 6-months of open-label benralizumab treatment in Part D.