Establishment and Validation of a Pathologic Upgrade Prediction Nomogram Model for Gastric Low-Grade Intraepithelial Neoplasia Patients After the Eradication of Helicobacter pylori .
Yejiao RuanGuangrong LuYuesheng ZhuXianhui MaYuning ShiXuchao ZhangZheng ZhuZhenzhai CaiXuanping XiaPublished in: Cancer control : journal of the Moffitt Cancer Center (2022)
A predictive nomogram model was constructed and proved to be clinically applicable to identify high-risk groups with possible pathologic upgrade in patients with gastric LGIN. Since it is regarded that strengthening follow-up or endoscopic treatment of high-risk patients may contribute to improving the detection rate or reducing the incidence of gastric cancer, the predictive nomogram model provides a reliable basis for the treatment of LGIN.
Keyphrases
- helicobacter pylori
- low grade
- high grade
- end stage renal disease
- ejection fraction
- newly diagnosed
- helicobacter pylori infection
- prognostic factors
- lymph node metastasis
- peritoneal dialysis
- risk factors
- radiation therapy
- ultrasound guided
- lymph node
- squamous cell carcinoma
- patient reported outcomes
- combination therapy
- label free