Keith F Harcourt1, Kay L Hicks. 1. Blue Mountain Oncology Program, Blue Mountain Regional Tumor Registry, 2316 Eastgate Street, Suite 105, Walla Walla, WA 99362, USA. kpharcourt@centurytel.net
Abstract
BACKGROUND: Several studies have suggested that case volume predicts survival in breast cancer, that patients treated in hospitals with larger case volumes survive longer. The present study is a review of cases from the Blue Mountain Regional Tumor Registry and tests that hypothesis. METHODS: A review was made of 2,409 breast cancer cases accessioned from nine hospitals between 1980 and 1995, tabulating hospital annual case volume, stage at diagnosis, age, treatment, and 5-year relative survival rate. Correlations and probabilities are presented. RESULTS: Survival correlates with stage at diagnosis (P <0.001), but not with hospital case volume (P = 0.40). CONCLUSIONS: If, as in this study, survival correlates with stage at diagnosis and not with case volume, then improving survival requires identifying cases earlier. To do that requires improving saturation of the population at risk with effective screening and improving access to healthcare. That implies dispersing services instead of concentrating them in high-volume centers.
BACKGROUND: Several studies have suggested that case volume predicts survival in breast cancer, that patients treated in hospitals with larger case volumes survive longer. The present study is a review of cases from the Blue Mountain Regional Tumor Registry and tests that hypothesis. METHODS: A review was made of 2,409 breast cancer cases accessioned from nine hospitals between 1980 and 1995, tabulating hospital annual case volume, stage at diagnosis, age, treatment, and 5-year relative survival rate. Correlations and probabilities are presented. RESULTS: Survival correlates with stage at diagnosis (P <0.001), but not with hospital case volume (P = 0.40). CONCLUSIONS: If, as in this study, survival correlates with stage at diagnosis and not with case volume, then improving survival requires identifying cases earlier. To do that requires improving saturation of the population at risk with effective screening and improving access to healthcare. That implies dispersing services instead of concentrating them in high-volume centers.