Objectives of Study:
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This research suggests the hypothesis of developing a predictive model for the risk of gastric "inflammation-cancer" transformation by integrating disease and evidence. A predictive model for the risk of transforming gastric "inflammation-cancer" will be developed in this research by integrating key molecules (LYZ, SST) and TCM syndrome information and applying multifactorial logistic regression and artificial neural network techniques. This is crucial for the early detection and treatment of gastric cancer, as well as for reducing the incidence of gastric cancer.
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Inclusion criteria
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1. ≥35 years old; gender is not limited.
2. The diagnosis of chronic non-atrophic gastritis (CSG), chronic atrophic gastritis (CAG), precancerous lesions of gastric cancer (PLGC), and gastric adenocarcinoma (GC) is established through gastroscopy and examination of gastric mucosal pathology and histology.
3. It is possible to have effective communication.
4. Informed consent, voluntary participation.
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Exclusion criteria:
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1. Received drug treatment research within the past month.
2. The combination of autoimmune gastritis (Type A chronic atrophic gastritis), peptic ulcers (Stage A1-H2), gastroesophageal reflux disease, gastric polyps, hypertrophic gastritis, and ulcerative colitis.
3. Individuals with gastric cancer other than gastric adenocarcinoma include those with gastric signet ring cell carcinoma (SRCC), gastric cardia cancer (GCC), gastric mucinous cell carcinoma, etc.
4. Patients with malignant tumors who have undergone surgery, radiation therapy, or chemotherapy within the last 5 years.
5. Combination of severe organic illnesses, including cardiac conditions (NYHA class III-IV heart failure, hemodynamically unstable myocardial infarction, etc.), liver problems (cirrhosis, etc.), renal problems (chronic kidney failure, uremia, etc.), renal problems (chronic kidney failure, uremia, etc.), pulmonary diseases (tuberculosis, acute asthma attack, lung infection, etc.), and autoimmune disorders (systemic lupus erythematosus, etc.).
6. Allergies or multiple drug sensitivities.
7. People with concurrent serious mental disorders who are unable to participate in the study due to conditions such as schizophrenia, depression, anxiety, and dementia.
8. Existing pregnancy or breastfeeding.
9. Non-cooperative survey participants.
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