BACKGROUND
The impact of prognostic stratification of early stage non-small-cell lung cancer (NSCLC) patients with poor prognosis after surgery is of considerable clinical relevance. The objective of this study was to identify clinical factors associated with long-term overall survival (OS) in early stage NSCLC patients and develop a prognostic model that identifies features associated with poor prognosis and stratifies patients by risk.
METHODS
This is a cohort study including 505 patients, diagnosed with stage I-II NSCLC, who underwent curative surgical procedures at a tertiary hospital in Madrid, Spain.
RESULTS
Median survival was 62.4 in patients submitted to surgery and 65 in patients submitted to surgery plus adjuvant treatment. From the univariate analysis we estimated that a female diagnosed with NSCLC has a 0.967 (95% CI 0.936–0.999) probability of survival one year after diagnosis and a 0.784 (95% CI 0.712–0.863) five years after diagnosis. For males, these probabilities drop to 0.904 (95% CI 0.875–0.934) and 0.613 (95% CI 0.566–0.665), respectively. Multivariable analysis shows that sex, age at diagnosis, type of treatment, ECOG-PS, and Stage are statistically significant variables (p < 0.10). According to the Cox regression model, age over 50, ECOG-PS 1 or 2, and stage ll are risk factors for survival (HR > 1) while adjuvant chemotherapy is a good prognostic variable (HR < 1).
CONCLUSIONS
Surgery plus adjuvant chemotherapy was associated with the best long-term OS in our patients. The prognostic model identified Age, Sex, Stage and ECOG-PS as significant factors to explain the probability of survival.