Literature DB >> 30815140

Automatic Genetic Risk Assessment Calculation Using Breast Cancer Family History Data from the EHR compared to Self-Report.

Margaret Sin1, Julia E McGuinness1, Meghna S Trivedi1, Alejandro Vanegas1, Thomas B Silverman1, Katherine D Crew1, Rita Kukafka1.   

Abstract

Genetic testing is a method to assess hereditary cancer risk. However, it is under-utilized and various methods of family history intake have been evaluated in previous studies. The six-point-scale (SPS) is a validated family history screener that is used to determine eligibility for BRCA genetic counseling. We automated the calculation of the SPS score using structured family history data along with free text from the electronic health record (EHR) to detect detailed family history information of breast cancer. We extracted data for all women aged 35 to 74 who had screening mammography at Columbia University Medical Center (CUMC) from January 2015 to May 2017 (N=37,596). After we calculated SPS scores using structured and free-text EHR data, we compared the results with SPS score calculated from a baseline survey conducted for a prospective study called Know Your Risks: Assessment at Screening (KYRAS). Among 1,202 patients with EHR structured family history data, we found 1.43% had an SPS score of 6 higher which meets criteria for genetic counseling referral, while 12.05% of the survey respondents had SPS score of 6 or higher. Results show there is a need for more efficient methods to identify patients eligible for genetic counseling through EHR analysis.

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Mesh:

Year:  2018        PMID: 30815140      PMCID: PMC6371348     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  36 in total

1.  Usability Testing of a Web-Based Decision Aid for Breast Cancer Risk Assessment Among Multi-Ethnic Women.

Authors:  Austin M Coe; William Ueng; Jennifer M Vargas; Raven David; Alejandro Vanegas; Katherine Infante; Meghna Trivedi; Haeseung Yi; Jill Dimond; Katherine D Crew; Rita Kukafka
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  Automated extraction of family history information from clinical notes.

Authors:  Robert Bill; Serguei Pakhomov; Elizabeth S Chen; Tamara J Winden; Elizabeth W Carter; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

3.  Impact of a randomized controlled educational trial to improve physician practice behaviors around screening for inherited breast cancer.

Authors:  Robert A Bell; Haley McDermott; Tonya L Fancher; Michael J Green; Frank C Day; Michael S Wilkes
Journal:  J Gen Intern Med       Date:  2014-12-02       Impact factor: 5.128

4.  Population-Based Study of Attitudes toward BRCA Genetic Testing among Orthodox Jewish Women.

Authors:  Eve Y Tang; Meghna S Trivedi; Rita Kukafka; Wendy K Chung; Raven David; Leah Respler; Sarah Leifer; Isaac Schechter; Katherine D Crew
Journal:  Breast J       Date:  2016-11-30       Impact factor: 2.431

Review 5.  Uptake rates for breast cancer genetic testing: a systematic review.

Authors:  Mary E Ropka; Jennifer Wenzel; Elayne K Phillips; Mir Siadaty; John T Philbrick
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-05       Impact factor: 4.254

6.  Coherence and completeness of population-based family cancer reports.

Authors:  Louise Wideroff; Anne O Garceau; Mark H Greene; Marsha Dunn; Timothy McNeel; Phuong Mai; Gordon Willis; Lou Gonsalves; Michael Martin; Barry I Graubard
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-02-16       Impact factor: 4.254

7.  Risk assessment, genetic counseling, and genetic testing for BRCA-related cancer in women: U.S. Preventive Services Task Force recommendation statement.

Authors:  Virginia A Moyer
Journal:  Ann Intern Med       Date:  2014-02-18       Impact factor: 25.391

Review 8.  A systematic review of factors that act as barriers to patient referral to genetic services.

Authors:  Türem Delikurt; Graham R Williamson; Violetta Anastasiadou; Heather Skirton
Journal:  Eur J Hum Genet       Date:  2014-09-10       Impact factor: 4.246

9.  Systematic Analysis of Free-Text Family History in Electronic Health Record.

Authors:  Yanshan Wang; Liwei Wang; Majid Rastegar-Mojarad; Sijia Liu; Feichen Shen; Hongfang Liu
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2017-07-26

10.  Evaluation of a breast/ovarian cancer genetics referral screening tool in a mammography population.

Authors:  Cecelia A Bellcross; Amy A Lemke; Laura S Pape; Angela L Tess; Lorraine T Meisner
Journal:  Genet Med       Date:  2009-11       Impact factor: 8.822

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  5 in total

1.  Extraction of Electronic Health Record Data using Fast Healthcare Interoperability Resources for Automated Breast Cancer Risk Assessment.

Authors:  Julia E McGuinness; Tianmai M Zhang; Kevin Cooper; Arusha Kelkar; Jill Dimond; Virginia Lorenzi; Katherine D Crew; Rita Kukafka
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

2.  Literacy-adapted, electronic family history assessment for genetics referral in primary care: patient user insights from qualitative interviews.

Authors:  Kathleen F Mittendorf; Hannah S Lewis; Devan M Duenas; Donna J Eubanks; Marian J Gilmore; Katrina A B Goddard; Galen Joseph; Tia L Kauffman; Stephanie A Kraft; Nangel M Lindberg; Ana A Reyes; Elizabeth Shuster; Sapna Syngal; Chinedu Ukaegbu; Jamilyn M Zepp; Benjamin S Wilfond; Kathryn M Porter
Journal:  Hered Cancer Clin Pract       Date:  2022-06-10       Impact factor: 2.164

Review 3.  Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches.

Authors:  Barbara M Decker; Chloé E Hill; Steven N Baldassano; Pouya Khankhanian
Journal:  Seizure       Date:  2021-01-13       Impact factor: 3.184

4.  Cancer Health Assessments Reaching Many (CHARM): A clinical trial assessing a multimodal cancer genetics services delivery program and its impact on diverse populations.

Authors:  Kathleen F Mittendorf; Tia L Kauffman; Laura M Amendola; Katherine P Anderson; Barbara B Biesecker; Michael O Dorschner; Devan M Duenas; Donna J Eubanks; Heather Spencer Feigelson; Marian J Gilmore; Jessica Ezzell Hunter; Galen Joseph; Stephanie A Kraft; Sandra Soo Jin Lee; Michael C Leo; Elizabeth G Liles; Nangel M Lindberg; Kristin R Muessig; Sonia Okuyama; Kathryn M Porter; Leslie S Riddle; Bradley A Rolf; Alan F Rope; Jamilyn M Zepp; Gail P Jarvik; Benjamin S Wilfond; Katrina A B Goddard
Journal:  Contemp Clin Trials       Date:  2021-05-11       Impact factor: 2.261

5.  Adaptation and early implementation of the PREdiction model for gene mutations (PREMM5™) for lynch syndrome risk assessment in a diverse population.

Authors:  Kathleen F Mittendorf; Chinedu Ukaegbu; Marian J Gilmore; Nangel M Lindberg; Tia L Kauffman; Donna J Eubanks; Elizabeth Shuster; Jake Allen; Carmit McMullen; Heather Spencer Feigelson; Katherine P Anderson; Michael C Leo; Jessica Ezzell Hunter; Sonia Okuyama Sasaki; Jamilyn M Zepp; Sapna Syngal; Benjamin S Wilfond; Katrina A B Goddard
Journal:  Fam Cancer       Date:  2021-03-23       Impact factor: 2.375

  5 in total

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