Contribution of Breast Cancer to Overall Mortality for US Women

被引:24
作者
Gangnon, Ronald E. [1 ,2 ,3 ]
Stout, Natasha K. [4 ,5 ]
Alagoz, Oguzhan [2 ,3 ,6 ]
Hampton, John M. [2 ,3 ]
Sprague, Brian L. [7 ,8 ]
Trentham-Dietz, Amy [2 ,3 ]
机构
[1] Univ Wisconsin, Dept Biostat & Med Informat, Madison, WI USA
[2] Univ Wisconsin, Dept Populat Hlth Sci, Madison, WI USA
[3] Univ Wisconsin, Carbone Canc Ctr, 610 Walnut St,WARF Room 307, Madison, WI 53726 USA
[4] Harvard Med Sch, Dept Populat Med, Boston, MA USA
[5] Harvard Pilgrim Hlth Care Inst, Boston, MA USA
[6] Univ Wisconsin, Dept Ind & Syst Engn, Madison, WI USA
[7] Univ Vermont, Dept Surg, Ctr Canc, Burlington, VT 05405 USA
[8] Univ Vermont, Ctr Canc, Burlington, VT USA
关键词
age-period-cohort modeling; breast cancer; mortality; simulation modeling; BENEFITS; THERAPY; HARMS; AGE;
D O I
10.1177/0272989X17717981
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective. Breast cancer simulation models must take changing mortality rates into account to evaluate the potential impact of cancer control interventions. We estimated mortality rates due to breast cancer and all other causes combined to determine their impact on overall mortality by year, age, and birth cohort. Methods. Based on mortality rates from publicly available datasets, an age-period-cohort model was used to estimate the proportion of deaths due to breast cancer for US women aged 0 to 119 years, with birth years 1900 to 2000. Breast cancer mortality was calculated as all-cause mortality multiplied by the proportion of deaths due to breast cancer; other-cause mortality was the difference between all-cause and breast cancer mortality. Results. Breast cancer and other-cause mortality rates were higher for older ages and birth cohorts. The percent of deaths due to breast cancer increased across birth cohorts from 1900 to 1940 then decreased. Among 50-year-old women, in the 1920 birth cohort, 52 (9.9%) of 100,000 deaths (95% CI, 9.8% to 10.1%) were attributed to breast cancer whereas 476 of 100,000 were due to other causes; in the 1960 birth cohort, 22 (8.5%) of 100,000 deaths (95% CI, 8.3% to 8.7%) were attributed to breast cancer with 242 of 100,000 deaths due to other causes. The percentage of all deaths due to breast cancer was highest (4.1% to 12.9%) for women in their 40s and 50s for all birth cohorts. Conclusions. This study offers evidence that advances in breast cancer screening and treatment have reduced breast cancer mortality for women across the age spectrum, and provides estimates of age-, year- and birth cohort-specific competing mortality rates for simulation models. Other-cause mortality estimates are important in these models because most women die from causes other than breast cancer.
引用
收藏
页码:24S / 31S
页数:8
相关论文
共 50 条
  • [41] Breast cancer mortality trends in Peruvian women
    J. Smith Torres-Roman
    Jose Fabian Martinez-Herrera
    Greta Carioli
    Jorge Ybaseta-Medina
    Bryan Valcarcel
    Joseph A. Pinto
    Alfredo Aguilar
    Katherine A. McGlynn
    Carlo La Vecchia
    BMC Cancer, 20
  • [42] Preoperative breast MRI and mortality in older women with breast cancer
    T. Onega
    W. Zhu
    J. E. Weiss
    M. Goodrich
    A. N. A. Tosteson
    W. DeMartini
    B. A. Virnig
    L. M. Henderson
    D. S. M. Buist
    K. J. Wernli
    K. Kerlikowske
    R. A. Hubbard
    Breast Cancer Research and Treatment, 2018, 170 : 149 - 157
  • [43] Breast Cancer Mortality in Young Women in Brazil
    Silva, Juliana Dalcin Donini E.
    de Oliveira, Rosana Rosseto
    da Silva, Mariana Teixeira
    Carvalho, Maria Dalva de Barros
    Pedroso, Raissa Bocchi
    Pelloso, Sandra Marisa
    FRONTIERS IN ONCOLOGY, 2021, 10
  • [44] No overdiagnosis in the Norwegian Breast Cancer Screening Program estimated by combining record linkage and questionnaire information in the Norwegian Women and Cancer study
    Lund, Eiliv
    Nakamura, Aurelie
    Thalabard, Jean-Christophe
    EUROPEAN JOURNAL OF CANCER, 2018, 89 : 102 - 112
  • [45] Original Research Overall survival is the lowest among young women with postpartum breast cancer
    Shagisultanova, Elena
    Gao, Dexiang
    Callihan, Eryn
    Parris, Hannah J.
    Risendal, Betsy
    Hines, Lisa M.
    Slattery, Martha L.
    Baumgartner, Kathy
    Schedin, Pepper
    John, Esther M.
    Borges, Virginia F.
    EUROPEAN JOURNAL OF CANCER, 2022, 168 : 119 - 127
  • [46] Breast cancer screening in average and high-risk women
    Rahman, W. Tania
    Helvie, Mark A.
    BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY, 2022, 83 : 3 - 14
  • [47] Trends in overall mortality among US veterans with primary myelofibrosis
    Tashi, Tsewang
    Yu, Jingbo
    Pandya, Shivani
    Dieyi, Christopher
    Scherber, Robyn
    Parasuraman, Shreekant
    BMC CANCER, 2023, 23 (01)
  • [48] De novo post-diagnosis statin use, breast cancer-specific and overall mortality in women with stage I-III breast cancer
    Smith, Amelia
    Murphy, Laura
    Sharp, Linda
    O'Connor, Darran
    Gallagher, William M.
    Bennett, Kathleen
    Barron, Thomas I.
    BRITISH JOURNAL OF CANCER, 2016, 115 (05) : 592 - 598
  • [49] Disparity in breast cancer mortality by age and geography in 10 racially diverse US cities
    Sighoko, Dominique
    Hunt, Bijou R.
    Irizarry, Bethliz
    Watson, Karriem
    Ansell, David
    Murphy, Anne Marie
    CANCER EPIDEMIOLOGY, 2018, 53 : 178 - 183
  • [50] Insulin resistance contributes to racial disparities in breast cancer prognosis in US women
    Gallagher, Emily J.
    Fei, Kezhen
    Feldman, Sheldon M.
    Port, Elisa
    Friedman, Neil B.
    Boolbol, Susan K.
    Killelea, Brigid
    Pilewskie, Melissa
    Choi, Lydia
    King, Tani
    Nayak, Anupma
    Franco, Rebeca
    Cruz, Daliz
    Antoniou, Irini M.
    LeRoith, Derek
    Bickell, Nina A.
    BREAST CANCER RESEARCH, 2020, 22 (01)