Literature DB >> 3736639

The relation between survival and age at diagnosis in breast cancer.

H O Adami, B Malker, L Holmberg, I Persson, B Stone.   

Abstract

We analyzed the relation between age at diagnosis and relative survival (ratio of observed to expected survival) in 57,068 women in Sweden in whom breast cancer was diagnosed in 1960 to 1978 (about 98 percent of all cases). Women who were 45 to 49 years old had the best prognosis, with a relative survival exceeding that of the youngest patients (less than 30 years) by 7.6 to 12.9 percent at different periods of observation. Relative survival declined markedly after the age of 49--particularly in women aged 50 to 59--and the oldest women (greater than 75) had the worst rate. The difference in relative survival between those older than 75 and those 45 to 49 increased from 8.6 percent at 2 years to 12.2, 20.3, and 27.5 percent after 5, 10, and 15 years of follow-up, respectively. The long-term annual mortality rate due to breast cancer approached 1 to 2 percent at the premenopausal ages but exceeded 5 percent throughout the period of observation in the oldest age group. An understanding of the biologic basis for the complex relation between age and prognosis might provide a better understanding of the natural history of breast cancer in women.

Entities:  

Mesh:

Year:  1986        PMID: 3736639     DOI: 10.1056/NEJM198608283150906

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  116 in total

1.  Long-term consequences of estrogen and estrogen-progestin replacement.

Authors:  H O Adami
Journal:  Cancer Causes Control       Date:  1992-01       Impact factor: 2.506

2.  Age-related variation in the relationship between menopausal hormone therapy and the risk of dying from breast cancer.

Authors:  Kerryn W Reding; David R Doody; Anne McTiernan; Li Hsu; Scott Davis; Janet R Daling; Peggy L Porter; Kathleen E Malone
Journal:  Breast Cancer Res Treat       Date:  2010-09-29       Impact factor: 4.872

3.  Mortality After Breast Cancer Among Survivors of Childhood Cancer: A Report From the Childhood Cancer Survivor Study.

Authors:  Chaya S Moskowitz; Joanne F Chou; Joseph P Neglia; Ann H Partridge; Rebecca M Howell; Lisa R Diller; Danielle Novetsky Friedman; Dana Barnea; Lindsay M Morton; Lucie M Turcotte; Michael A Arnold; Wendy M Leisenring; Gregory T Armstrong; Leslie L Robison; Kevin C Oeffinger; Tara O Henderson
Journal:  J Clin Oncol       Date:  2019-07-01       Impact factor: 44.544

4.  Breast and cervical screening by race/ethnicity: comparative analyses before and during the Great Recession.

Authors:  Christopher J King; Jie Chen; Mary A Garza; Stephen B Thomas
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

5.  Breast cancer incidence and prevalence estimated from survival and mortality.

Authors:  R Capocaccia; A Verdecchia; A Micheli; M Sant; G Gatta; F Berrino
Journal:  Cancer Causes Control       Date:  1990-07       Impact factor: 2.506

6.  Do treatment protocols improve end results? A study of survival of patients with multiple myeloma in Finland.

Authors:  S Karjalainen; I Palva
Journal:  BMJ       Date:  1989-10-28

7.  The Swedish two county trial of mammographic screening for breast cancer: recent results and calculation of benefit.

Authors:  L Tabar; G Fagerberg; S W Duffy; N E Day
Journal:  J Epidemiol Community Health       Date:  1989-06       Impact factor: 3.710

8.  Perceptions, knowledge, and satisfaction with contralateral prophylactic mastectomy among young women with breast cancer: a cross-sectional survey.

Authors:  Shoshana M Rosenberg; Michaela S Tracy; Meghan E Meyer; Karen Sepucha; Shari Gelber; Judi Hirshfield-Bartek; Susan Troyan; Monica Morrow; Lidia Schapira; Steven E Come; Eric P Winer; Ann H Partridge
Journal:  Ann Intern Med       Date:  2013-09-17       Impact factor: 25.391

9.  Elective cancer education: how effective from the public health viewpoint?

Authors:  C H Gray; J S Colome; J R Curry-Daly
Journal:  Am J Public Health       Date:  1987-09       Impact factor: 9.308

Review 10.  How ageing processes influence cancer.

Authors:  João Pedro de Magalhães
Journal:  Nat Rev Cancer       Date:  2013-05       Impact factor: 60.716

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.