COX REGRESSION FOR SURVIVAL IN COLORECTAL CANCER PATIENTS
Keywords:
Cox proportional hazards model, survival, stomach cancer, EcuadorAbstract
To determine survival in patients with colorectal cancer using the Cox Regression model at 6 years, periods 2010 -2015 in the Province of Manabí, Ecuador. Observational, descriptive, and retrospective study, the data of 194 patients diagnosed with colorectal cancer were analyzed. Under inclusion criteria, 129 patients remained for survival analysis. The variables included in the research were: age, sex, stage of the disease (Tx, T2, T3 and T4) and survival. The basics of the Cox Regression model are instructed based on the so-called “risk ratio” or Hazard Ratio HR statistic. Of the 129 patients, the mean age was 61.6 years, with an age range of 14 to 97 years, with a superiority of the female sex with 55.81% patients and the male with 44.19%. The stages where the highest frequency is TNM 3 with 49.61%, followed by TNM x with 27.13%, were examined, the overall survival was 15% at 72 months. The stage of the disease (tumor) is the one that was statistically significantly associated with survival, where not evaluating the main tumor attracted attention in this study, that is, TNM stage x. It can be concluded that not making diagnoses in time and reaching late stages decreases survival in colorectal cancer in the Province of Manabí.
Keywords: Cox proportional hazards model, survival, stomach cancer, Ecuador.
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References
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