Survival Analysis of Supportive Care and Anti-Cancer Treatment Patients with Metastatic Lung Adenocarcinoma-A Hospital Databasis Analysis

Abstract

Purpose: This study uses the database management system to explore supportive care and anti-cancer treatment of metastatic lung adenocarcinoma patients.
Method: Utilizes the cancer registry database of a certain medical center in southern Taiwan from 2011 to 2017. The objects of study are 852 patients divided into two groups, namely, supportive care and anti-cancer treatment. The chi-square test and Cox regression analysis were carried out with IBM SPSS Statistics 20.0 data tool.
Result: Found significant differences in choosing supportive care and anti-cancer treatment pursuant to gender, age, smoking behavior and performance status (ECOG). Using Cox regression multivariate analysis, it is found that the lethal risk of the female gender is 0.812 fold that of the male gender, an indication of comparatively lower risk. Using performance status (ECOG) groups for analysis, it is found that the lethal risk of the 3-4 group is 2.454 fold that of the 0-2 group. The risk of pleural effusion is 1.317 higher than the no pleural effusion. The lethal risk of anti-cancer treatment is 0.259 fold that of supportive care, an indication of comparatively lower risk.
Conclusion: Survival rate of metastatic lung adenocarcinoma patients using anti-cancer treatment is higher than those using only supportive care. Such results may be used as reference for planning treatment for patients by the anti-cancer treatment team.