A total of 174 cases with primary lung cancer was examined on survival. Survival rates were compared between some categories in each prognostic factor (univariate analyses), and significant factors affecting survival were obtained by multivariate analyses using Cox's proportional hazard model. Univariate analyses showed a significant difference in survival in relation to tumor doubling time (DT), age, sex, the way how a tumor was detected, smoking history, symptom, therapy, cell type, T factor, N factor, M factor and stage. Multivariate analyses using Cox's proportional hazard model in a stepwise fashion obtained a final set of four significant variables: N factor (p = 0.0001) therapy (p = 0.0016); DT (p = 0.0140) and M factor (p = 0.0421). DT was proved to be an independent and significant prognostic factor in lung cancer.
ASJC Scopus subject areas
- Pulmonary and Respiratory Medicine