A multivariate analysis of 617 female patients with primary breast cancer treated by radical mastectomy between 1974 and 1981 was done. All patients were followed for more than five years. Survival was 76.6% and 64.7%...A multivariate analysis of 617 female patients with primary breast cancer treated by radical mastectomy between 1974 and 1981 was done. All patients were followed for more than five years. Survival was 76.6% and 64.7% at 5 and 10 years, respectively. Eleven clinical and pathological factors were available for study. The data were analysed by Cox's proportional hazards regression model. A final set of five independent significant prognostic factors was obtained. In order of importance they were, clinical stage, age at diagnosis, axillary lymph node status, histologic type and size of the primary tumor. To test the time-varying effect of these factors using Cox's model, all except age reduced their prognostic impact significantly after five years, however, age was a powerful prognostic factor for long-term survival. A prognostic index based on the regression coefficients was constructed. This index can give a better prediction for patients' survival and can be taken as reference when formulating treatment protocols for breast cancer.展开更多
文摘A multivariate analysis of 617 female patients with primary breast cancer treated by radical mastectomy between 1974 and 1981 was done. All patients were followed for more than five years. Survival was 76.6% and 64.7% at 5 and 10 years, respectively. Eleven clinical and pathological factors were available for study. The data were analysed by Cox's proportional hazards regression model. A final set of five independent significant prognostic factors was obtained. In order of importance they were, clinical stage, age at diagnosis, axillary lymph node status, histologic type and size of the primary tumor. To test the time-varying effect of these factors using Cox's model, all except age reduced their prognostic impact significantly after five years, however, age was a powerful prognostic factor for long-term survival. A prognostic index based on the regression coefficients was constructed. This index can give a better prediction for patients' survival and can be taken as reference when formulating treatment protocols for breast cancer.
