If you or a family member has been diagnosed with cancer, you have choices to make about where to receive care. Comparing survival rates among cancer centers is one way to help evaluate your options.
The charts in the sections below show the survival rates for patients treated by Seattle Cancer Care Alliance (SCCA), according to the National Cancer Data Base (NCDB) Survival Reports. The NCDB reports also compare SCCA patient survival rates to survival rates for patients treated at other academic medical centers, large community hospitals, and small community hospitals. The data shows that, in general, SCCA patients have better outcomes than patients treated elsewhere. Patient survival rates are categorized by stage of diagnosis for each of the following types of cancer:
The survival data includes patients who were diagnosed between 2003 and 2006 and then followed for five years. The five-year observed survival rates are estimated using the actuarial method with one-month intervals. The endpoint is death from any cause (not cancer specific death); patients may have died from causes unrelated to their cancer. Calculations were performed using the NCDB Survival Reports software tool. Survival rates are not displayed when fewer than 30 cases are available, as survival rates calculated from small numbers of cases can yield misleading results and may have very wide confidence intervals.
The outcomes presented in the figures are not risk-adjusted. That is, the NCDB did not account for demographic differences (e.g., age at diagnosis, gender, socioeconomic status, and insurance status), prognostic factors, and comorbidities for SCCA and other hospitals. Also, the NCDB did not account for subjective differences in staging practices among hospitals. For example, it is possible that a cancer considered stage I at one hospital might be considered stage II at another hospital due to practice pattern variations. The outcomes comparisons presented here might have differed if the NCDB had accounted for such demographic and staging differences in our analyses.