RETRACTED: Analysis of PICC Based on Dysfunction Module Personalized Nursing Treatment in Chemotherapy of Advanced Esophageal Cancer (Retracted Article)

Esophageal cancer is a common malignant tumor in some countries and regions in the world, which threatens the health of people all over the world. Due to esophageal cancer, about 400,000 people die every year. Among them, the number of cases and deaths of esophageal cancer in our country accounts for about 50% of the world. This article aims to study the clinical efficacy of PICC catheterization in the chemotherapy of advanced esophageal cancer based on the dysfunction module. For patients with advanced esophageal cancer, traditional surgery is still difficult to achieve satisfactory results. Therefore, in order to improve the therapeutic effect of esophageal cancer and obtain a higher clinical effective rate and pathological complete remission rate, it is necessary to explore a new comprehensive treatment model. In this paper, the theoretical knowledge of PICC is described in detail from the concept, advantages, and indications of PICC, and the SPSS statistical method is proposed. The SPSS statistical model, mean test, two-independent sample t-test, and regression analysis jointly explain the application principles and methods of SPSS statistical methods. After selecting the experimental subjects, the 180 eligible patients with esophageal squamous cell carcinoma were divided into two groups, each with 30 patients with stage II esophageal cancer, 30 patients with stage III esophageal cancer, and 30 patients with stage IV esophageal cancer. Grouping according to different variables, real-time recording of data, and SPSS statistical method to analyze the experimental data, the experimental results of this article show that the nursing satisfaction of the observation group is 92.2%, which is significantly higher than the 56.7% of the control group, so it can be seen that PICC plays an important role in the personalized care and treatment of advanced esophageal cancer.