Influence of Mammographic Screening on Breast Cancer Incidence Trends in South Australia

被引:3
作者
Beckmann, Kerri Rose [1 ]
Roder, David Murray [2 ]
Hiller, Janet Esther
Farshid, Gelareh
Lynch, John William [1 ]
机构
[1] Univ Adelaide, Sch Populat Hlth, Adelaide, SA 5005, Australia
[2] Univ S Australia, Adelaide, SA 5001, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
Breast cancer; incidence trends; mammographic screening; HORMONE-REPLACEMENT THERAPY; ESTROGEN PLUS PROGESTIN; OVERDIAGNOSIS; DECREASE; SURGEONS; WOMEN; RISK;
D O I
10.7314/APJCP.2014.15.7.3105
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: To examine breast cancer (BC) incidence trends in relation to mammographic screening and risk factor prevalence in South Australia (SA). Materials and Methods: Trends in annual BC incidence rates were calculated using direct standardisation and compared with projected incidence derived from Poisson regression analysis of pre-screening rates. Annual percentage change and change time points were estimated using Joinpoint software. Biennial mammography screening participation rates were calculated using data from BreastScreen SA. Trends in overweight/obesity, alcohol use and hormone replacement therapy (HRT) use were examined using 1991-2009 Health Omnibus Survey data. Trends in total fertility were examined using data from the Australian Bureau of Statistics. Results: BC incidence increased around the time BreastScreen commenced and then stabilised in the mid-1990s. However rates have remained higher than projected, even though the proportion observed among women aged 50-59yrs from the late-1990's but not among older women. Obesity and alcohol use have increased steadily in all age groups, while HRT use declined sharply from the late-1990s. Conclusions: BC incidence has remained higher than projected since mammography screening began. The sustained elevation is likely to be due to lead time effects, though over-diagnosis cannot be excluded. Declining HRT use has also impacted incidence trends. Implications: Studies using individual level data, which can account for changes in risk factor prevalence and lead time effects, are required to evaluate 'over-diagnosis' due to screening.
引用
收藏
页码:3105 / 3112
页数:8
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