Literature DB >> 26757170

Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement.

Albert L Siu.   

Abstract

DESCRIPTION: Update of the 2009 U.S. Preventive Services Task Force (USPSTF) recommendation on screening for breast cancer.
METHODS: The USPSTF reviewed the evidence on the following: effectiveness of breast cancer screening in reducing breast cancer-specific and all-cause mortality, as well as the incidence of advanced breast cancer and treatment-related morbidity; harms of breast cancer screening; test performance characteristics of digital breast tomosynthesis as a primary screening strategy; and adjunctive screening in women with increased breast density. In addition, the USPSTF reviewed comparative decision models on optimal starting and stopping ages and intervals for screening mammography; how breast density, breast cancer risk, and comorbidity level affect the balance of benefit and harms of screening mammography; and the number of radiation-induced breast cancer cases and deaths associated with different screening mammography strategies over the course of a woman's lifetime. POPULATION: This recommendation applies to asymptomatic women aged 40 years or older who do not have preexisting breast cancer or a previously diagnosed high-risk breast lesion and who are not at high risk for breast cancer because of a known underlying genetic mutation (such as a BRCA1 or BRCA2 gene mutation or other familial breast cancer syndrome) or a history of chest radiation at a young age. RECOMMENDATIONS: The USPSTF recommends biennial screening mammography for women aged 50 to 74 years. (B recommendation) The decision to start screening mammography in women prior to age 50 years should be an individual one. Women who place a higher value on the potential benefit than the potential harms may choose to begin biennial screening between the ages of 40 and 49 years. (C recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening mammography in women aged 75 years or older. (I statement) The USPSTF concludes that the current evidence is insufficient to assess the benefits and harms of digital breast tomosynthesis (DBT) as a primary screening method for breast cancer. (I statement) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of adjunctive screening for breast cancer using breast ultrasonography, magnetic resonance imaging (MRI), DBT, or other methods in women identified to have dense breasts on an otherwise negative screening mammogram. (I statement).

Entities:  

Mesh:

Year:  2016        PMID: 26757170     DOI: 10.7326/M15-2886

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  402 in total

1.  Reconsidering the Trade-offs of Prostate Cancer Screening.

Authors:  Jonathan E Shoag; Yaw A Nyame; Roman Gulati; Ruth Etzioni; Jim C Hu
Journal:  N Engl J Med       Date:  2020-06-18       Impact factor: 91.245

2.  Familiality of Psychiatric Disorders and Risk of Postpartum Psychiatric Episodes: A Population-Based Cohort Study.

Authors:  Anna E Bauer; Merete L Maegbaek; Xiaoqin Liu; Naomi R Wray; Patrick F Sullivan; William C Miller; Samantha Meltzer-Brody; Trine Munk-Olsen
Journal:  Am J Psychiatry       Date:  2018-05-07       Impact factor: 18.112

3.  Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.

Authors:  Aimilia Gastounioti; Andrew Oustimov; Meng-Kang Hsieh; Lauren Pantalone; Emily F Conant; Despina Kontos
Journal:  Acad Radiol       Date:  2018-02-01       Impact factor: 3.173

4.  Breast cancer screening initiation after turning 40 years of age within the PROSPR consortium.

Authors:  Elisabeth F Beaber; Anna N A Tosteson; Jennifer S Haas; Tracy Onega; Brian L Sprague; Donald L Weaver; Anne Marie McCarthy; Chyke A Doubeni; Virginia P Quinn; Celette Sugg Skinner; Ann G Zauber; William E Barlow
Journal:  Breast Cancer Res Treat       Date:  2016-09-24       Impact factor: 4.872

5.  Breast Cancer Screening in Primary Care: A Call for Development and Validation of Patient-Oriented Shared Decision-Making Tools.

Authors:  Sarina Schrager; Elizabeth Burnside
Journal:  J Womens Health (Larchmt)       Date:  2018-05-14       Impact factor: 2.681

6.  Comparing CISNET Breast Cancer Incidence and Mortality Predictions to Observed Clinical Trial Results of Mammography Screening from Ages 40 to 49.

Authors:  Jeroen J van den Broek; Nicolien T van Ravesteyn; Jeanne S Mandelblatt; Hui Huang; Mehmet Ali Ergun; Elizabeth S Burnside; Cong Xu; Yisheng Li; Oguzhan Alagoz; Sandra J Lee; Natasha K Stout; Juhee Song; Amy Trentham-Dietz; Sylvia K Plevritis; Sue M Moss; Harry J de Koning
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

7.  Multilevel Predictors of Continued Adherence to Breast Cancer Screening Among Women Ages 50-74 Years in a Screening Population.

Authors:  Elisabeth F Beaber; Brian L Sprague; Anna N A Tosteson; Jennifer S Haas; Tracy Onega; Marilyn M Schapira; Anne Marie McCarthy; Christopher I Li; Sally D Herschorn; Constance D Lehman; Karen J Wernli; William E Barlow
Journal:  J Womens Health (Larchmt)       Date:  2018-11-27       Impact factor: 2.681

8.  White-Black Differences in Cancer Incidence, Stage at Diagnosis, and Survival among Adults Aged 85 Years and Older in the United States.

Authors:  Jessica L Krok-Schoen; James L Fisher; Ryan D Baltic; Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-15       Impact factor: 4.254

9.  Convolutional Neural Network Based Breast Cancer Risk Stratification Using a Mammographic Dataset.

Authors:  Richard Ha; Peter Chang; Jenika Karcich; Simukayi Mutasa; Eduardo Pascual Van Sant; Michael Z Liu; Sachin Jambawalikar
Journal:  Acad Radiol       Date:  2018-07-31       Impact factor: 3.173

10.  Cervical Cancer Screening-Moving From the Value of Evidence to the Evidence of Value.

Authors:  George F Sawaya
Journal:  JAMA Intern Med       Date:  2018-10-01       Impact factor: 21.873

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