Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report

scientific article published on 01 March 2019

Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1200/CCI.18.00072
P932PMC publication ID6874029
P698PubMed publication ID30869999

P2093author name stringKatherine D Crew
Rita Kukafka
Xinyi Jiang
Margaret Sin
Julia E McGuinness
Thomas Silverman
P2860cites workCost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table ModelQ57177092
Risk factors for breast cancer in women with proliferative breast diseaseQ70045791
Screening for breast cancer: an update for the U.S. Preventive Services Task ForceQ24615837
Breast Cancer Screening for Women at Average Risk: 2015 Guideline Update From the American Cancer SocietyQ27347760
Tamoxifen for the prevention of breast cancer: current status of the National Surgical Adjuvant Breast and Bowel Project P-1 studyQ28281843
Patient decisions about breast cancer chemoprevention: a systematic review and meta-analysisQ30431831
Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American womenQ30501421
Update of the National Surgical Adjuvant Breast and Bowel Project Study of Tamoxifen and Raloxifene (STAR) P-2 Trial: Preventing breast cancerQ34110074
Implementation in a large health system of a program to identify women at high risk for breast cancerQ34638053
Benefit/risk assessment for breast cancer chemoprevention with raloxifene or tamoxifen for women age 50 years or olderQ35023437
Rating the risk factors for breast cancerQ35099668
Awareness of breast density and its impact on breast cancer detection and riskQ36002291
Tamoxifen for prevention of breast cancer: extended long-term follow-up of the IBIS-I breast cancer prevention trialQ36634556
Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive modelQ37172219
Risk prediction models of breast cancer: a systematic review of model performancesQ37955078
Breast Cancer Surveillance Consortium: a national mammography screening and outcomes databaseQ39453537
Projecting individualized absolute invasive breast cancer risk in African American womenQ40149673
The lack, need, and opportunities for decision-making and informational tools to educate primary-care physicians and women about breast cancer chemopreventionQ43044965
Physician Adherence to Breast Cancer Screening RecommendationsQ43752540
Estimates of the number of US women who could benefit from tamoxifen for breast cancer chemopreventionQ44387502
Barriers to minority participation in breast carcinoma prevention trialsQ44654075
Anastrozole for prevention of breast cancer in high-risk postmenopausal women (IBIS-II): an international, double-blind, randomised placebo-controlled trialQ44659430
Breast cancer risk reduction options: awareness, discussion, and use among women from four ethnic groups.Q46247618
Breast cancer risk assessment in indigent women at a public hospitalQ46902228
Exemestane for breast-cancer prevention in postmenopausal womenQ48657440
Factors associated with false positive results on screening mammography in a population of predominantly Hispanic womenQ49571883
Validation studies for models projecting the risk of invasive and total breast cancer incidenceQ50651945
P921main subjectelectronic health recordsQ10871684
P304page(s)1-8
P577publication date2019-03-01
P1433published inJCO Clinical Cancer InformaticsQ85770379
P1476titleIdentifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report
P478volume3

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Q93190413Study protocol: Randomized controlled trial of web-based decision support tools for high-risk women and healthcare providers to increase breast cancer chemopreventioncites workP2860

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