Literature DB >> 34162683

Estimating the Breast Cancer Burden in Germany and Implications for Risk-based Screening.

Anne S Quante1,2, Anika Hüsing3,4, Jenny Chang-Claude3,5, Marion Kiechle6, Rudolf Kaaks3, Ruth M Pfeiffer7.   

Abstract

In Germany, it is currently recommended that women start mammographic breast cancer screening at age 50. However, recently updated guidelines state that for women younger than 50 and older than 70 years of age, screening decisions should be based on individual risk. International clinical guidelines recommend starting screening when a woman's 5-year risk of breast cancer exceeds 1.7%. We thus compared the performance of the current age-based screening practice with an alternative risk-adapted approach using data from a German population representative survey. We found that 10,498,000 German women ages 50-69 years are eligible for mammographic screening based on age alone. Applying the 5-year risk threshold of 1.7% to individual breast cancer risk estimated from a model that considers a woman's reproductive and personal characteristics, 39,000 German women ages 40-49 years would additionally be eligible. Among those women, the number needed to screen to detect one breast cancer case, NNS, was 282, which was close to the NNS = 292 among all 50- to 69-year-old women. In contrast, NNS = 703 for the 113,000 German women ages 50-69 years old with 5-year breast cancer risk <0.8%, the median 5-year breast cancer risk for German women ages 45-49 years, which we used as a low-risk threshold. For these low-risk women, longer screening intervals might be considered to avoid unnecessary diagnostic procedures. In conclusion, we show that risk-adapted mammographic screening could benefit German women ages 40-49 years who are at elevated breast cancer risk and reduce cost and burden among low-risk women ages 50-69 years. PREVENTION RELEVANCE: We show that a risk-based approach to mammography screening for German women can help detect breast cancer in women ages 40-49 years with increased risk and reduce screening costs and burdens for low-risk women ages 50-69 years. However, before recommending a particular implementation of a risk-based mammographic screening approach, further investigations of models and thresholds used are needed. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2021        PMID: 34162683      PMCID: PMC8226107          DOI: 10.1158/1940-6207.CAPR-20-0437

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  18 in total

Review 1.  EPIC-Germany--A source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition.

Authors:  H Boeing; J Wahrendorf; N Becker
Journal:  Ann Nutr Metab       Date:  1999       Impact factor: 3.374

2.  Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.

Authors:  Parichoy Pal Choudhury; Amber N Wilcox; Mark N Brook; Yan Zhang; Thomas Ahearn; Nick Orr; Penny Coulson; Minouk J Schoemaker; Michael E Jones; Mitchell H Gail; Anthony J Swerdlow; Nilanjan Chatterjee; Montserrat Garcia-Closas
Journal:  J Natl Cancer Inst       Date:  2020-03-01       Impact factor: 13.506

3.  Effectiveness of population-based service screening with mammography for women ages 40 to 49 years with a high or low risk of breast cancer: socioeconomic status, parity, and age at birth of first child.

Authors:  Barbro Numan Hellquist; Kamila Czene; Anna Hjälm; Lennarth Nyström; Håkan Jonsson
Journal:  Cancer       Date:  2014-09-19       Impact factor: 6.860

4.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

5.  Validation of two US breast cancer risk prediction models in German women.

Authors:  Anika Hüsing; Anne S Quante; Jenny Chang-Claude; Krasimira Aleksandrova; Rudolf Kaaks; Ruth M Pfeiffer
Journal:  Cancer Causes Control       Date:  2020-04-06       Impact factor: 2.506

6.  German health interview and examination survey for adults (DEGS) - design, objectives and implementation of the first data collection wave.

Authors:  Christa Scheidt-Nave; Panagiotis Kamtsiuris; Antje Gößwald; Heike Hölling; Michael Lange; Markus A Busch; Stefan Dahm; Rüdiger Dölle; Ute Ellert; Judith Fuchs; Ulfert Hapke; Christin Heidemann; Hildtraud Knopf; Detlef Laussmann; Gert B M Mensink; Hannelore Neuhauser; Almut Richter; Anke-Christine Sass; Angelika Schaffrath Rosario; Heribert Stolzenberg; Michael Thamm; Bärbel-Maria Kurth
Journal:  BMC Public Health       Date:  2012-09-01       Impact factor: 3.295

7.  Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table Model.

Authors:  Nora Pashayan; Steve Morris; Fiona J Gilbert; Paul D P Pharoah
Journal:  JAMA Oncol       Date:  2018-11-01       Impact factor: 31.777

8.  Practical problems with clinical guidelines for breast cancer prevention based on remaining lifetime risk.

Authors:  Anne S Quante; Alice S Whittemore; Tom Shriver; John L Hopper; Konstantin Strauch; Mary Beth Terry
Journal:  J Natl Cancer Inst       Date:  2015-05-08       Impact factor: 13.506

9.  Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies.

Authors:  Ruth M Pfeiffer; Yikyung Park; Aimée R Kreimer; James V Lacey; David Pee; Robert T Greenlee; Saundra S Buys; Albert Hollenbeck; Bernard Rosner; Mitchell H Gail; Patricia Hartge
Journal:  PLoS Med       Date:  2013-07-30       Impact factor: 11.069

10.  Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.

Authors:  Anne S Quante; Alice S Whittemore; Tom Shriver; Konstantin Strauch; Mary B Terry
Journal:  Breast Cancer Res       Date:  2012-11-05       Impact factor: 6.466

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