Literature DB >> 24061412

Medications to decrease the risk for breast cancer in women: recommendations from the U.S. Preventive Services Task Force recommendation statement.

Virginia A Moyer.   

Abstract

DESCRIPTION: Update of the 2002 U.S. Preventive Services Task Force (USPSTF) recommendation on the use of medications for breast cancer risk reduction.
METHODS: The USPSTF reviewed evidence on the effectiveness,adverse effects, and subgroup variations of medications to reduce the risk for breast cancer—specifically, the selective estrogen receptor modulators tamoxifen and raloxifene. The USPSTF also reviewed a meta-analysis of placebo-controlled trials to understand the relative benefits and harms of tamoxifen and raloxifene. POPULATION: This recommendation applies to asymptomatic women aged 35 years or older without a prior diagnosis of breast cancer,ductal carcinoma in situ, or lobular carcinoma in situ. RECOMMENDATION: The USPSTF recommends that clinicians engage in shared, informed decision making with women who are at increased risk for breast cancer about medications to reduce their risk.For women who are at increased risk for breast cancer and at low risk for adverse medication effects, clinicians should offer to prescribe risk-reducing medications, such as tamoxifen or raloxifene. (B recommendation)The USPSTF recommends against the routine use of medications,such as tamoxifen or raloxifene, for risk reduction of primary breast cancer in women who are not at increased risk for breast cancer. (D recommendation).

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Year:  2013        PMID: 24061412     DOI: 10.7326/0003-4819-159-10-201311190-00717

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


  53 in total

1.  Affective forecasting and medication decision making in breast-cancer prevention.

Authors:  Michael Hoerger; Laura D Scherer; Angela Fagerlin
Journal:  Health Psychol       Date:  2016-02-11       Impact factor: 4.267

2.  Views of Low-Income Women of Color at Increased Risk for Breast Cancer.

Authors:  Emily E Anderson; Silvia Tejada; Richard B Warnecke; Kent Hoskins
Journal:  Narrat Inq Bioeth       Date:  2018

3.  Deciding on breast cancer risk reduction: The role of counseling in individual decision-making - A qualitative study.

Authors:  Sarah B Blakeslee; Worta McCaskill-Stevens; Patricia A Parker; Christine M Gunn; Hanna Bandos; Therese B Bevers; Tracy A Battaglia; Angela Fagerlin; Jacqueline Müller-Nordhorn; Christine Holmberg
Journal:  Patient Educ Couns       Date:  2017-06-27

4.  Primary chemoprevention of breast cancer: Are the adverse effects too burdensome?

Authors:  Vinay Prasad; Marie Diener-West
Journal:  CMAJ       Date:  2015-03-23       Impact factor: 8.262

5.  Menopausal hormone therapy and breast cancer risk: effect modification by body mass through life.

Authors:  Marie Søfteland Sandvei; Lars J Vatten; Elisabeth Krefting Bjelland; Anne Eskild; Solveig Hofvind; Giske Ursin; Signe Opdahl
Journal:  Eur J Epidemiol       Date:  2018-08-06       Impact factor: 8.082

6.  Breast Cancer Risk Assessment Among Low-Income Women of Color in Primary Care: A Pilot Study.

Authors:  Emily E Anderson; Silvia Tejeda; Kimberly Childers; Melinda R Stolley; Richard B Warnecke; Kent F Hoskins
Journal:  J Oncol Pract       Date:  2015-06-02       Impact factor: 3.840

7.  Impact of a primary care based intervention on breast cancer knowledge, risk perception and concern: A randomized, controlled trial.

Authors:  Jennifer Livaudais-Toman; Leah S Karliner; Jeffrey A Tice; Karla Kerlikowske; Steven Gregorich; Eliseo J Pérez-Stable; Rena J Pasick; Alice Chen; Jessica Quinn; Celia P Kaplan
Journal:  Breast       Date:  2015-10-21       Impact factor: 4.380

8.  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

9.  Breast cancer risk prediction using a clinical risk model and polygenic risk score.

Authors:  Yiwey Shieh; Donglei Hu; Lin Ma; Scott Huntsman; Charlotte C Gard; Jessica W T Leung; Jeffrey A Tice; Celine M Vachon; Steven R Cummings; Karla Kerlikowske; Elad Ziv
Journal:  Breast Cancer Res Treat       Date:  2016-08-26       Impact factor: 4.872

10.  Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.

Authors:  Jeffrey A Tice; Diana L Miglioretti; Chin-Shang Li; Celine M Vachon; Charlotte C Gard; Karla Kerlikowske
Journal:  J Clin Oncol       Date:  2015-08-17       Impact factor: 44.544

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