title: Breast cancer five-year survival, by New South Wales regions, 1980 to 1991.
abstract: Breast cancer five-year relative survival was calculated for 16 urban and rural regions in New South Wales (NSW) for cases incidents in 1980-1991. Survival analysis employed cancer registry data linked with the death register, and age- and period-matched regional mortality of NSW women. Proportional hazard regression analysis was used to compare excess mortality in breast cancer cases in each region. The effect of region was significant (P < 0.05) in analysis, after age and the follow-up variable (and their interaction) were adjusted for, although no region was significantly different from the referent group (chosen because of average relative five-year survival). When degree of spread and its interactions were entered into the model, the effect of region became nonsignificant. A significant linear trend (P < 0.05) in the adjusted relative risk for excess mortality in breast cancer cases was noted when regions were divided into quartiles based on socioeconomic status, with higher relative risk in low-socioeconomic-status groups; this effect also disappeared with adjustment for degree of spread at diagnosis. There was no general effect of rurality versus capital city or other metropolitan centres. This study demonstrates a small effect of region of residence and implied socioeconomic status on breast cancer survival in NSW women, but this becomes nonsignificant when the data are adjusted for degree of spread at diagnosis. This suggests that earlier diagnosis would be of benefit in reducing minor inequalities in breast cancer survival in NSW women.
authors.affiliation: New South Wales Cancer Council, Sydney.
authors.forename: R
authors.initials: R
authors.lastname: Taylor
mesh_terms: D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000401:mortality*; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D008875:Middle Aged; D009517:New South Wales / Q000453:epidemiology; D016016:Proportional Hazards Models; D012044:Regression Analysis; D012306:Risk; D012959:Socioeconomic Factors; D016019:Survival Analysis