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本文引用的文献

1
Systematic Analysis of Free-Text Family History in Electronic Health Record.电子健康记录中自由文本家族病史的系统分析
AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:104-113. eCollection 2017.
2
Introducing a Comprehensive Informatics Framework to Promote Breast Cancer Risk Assessment and Chemoprevention in the Primary Care Setting.引入一个综合信息学框架,以促进初级保健环境中的乳腺癌风险评估和化学预防。
AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:58-67. eCollection 2017.
3
How do we increase uptake of tamoxifen and other anti-estrogens for breast cancer prevention?我们如何提高他莫昔芬及其他抗雌激素药物在乳腺癌预防方面的应用率?
NPJ Breast Cancer. 2017 May 19;3:20. doi: 10.1038/s41523-017-0021-y. eCollection 2017.
4
Usability Testing of a Web-Based Decision Aid for Breast Cancer Risk Assessment Among Multi-Ethnic Women.针对多民族女性乳腺癌风险评估的基于网络的决策辅助工具的可用性测试。
AMIA Annu Symp Proc. 2017 Feb 10;2016:411-420. eCollection 2016.
5
Population-Based Study of Attitudes toward BRCA Genetic Testing among Orthodox Jewish Women.基于人群的正统犹太女性对BRCA基因检测态度的研究。
Breast J. 2017 May;23(3):333-337. doi: 10.1111/tbj.12736. Epub 2016 Nov 30.
6
Validation of an Efficient Screening Tool to Identify Low-Income Women at High Risk for Hereditary Breast Cancer.一种用于识别遗传性乳腺癌高危低收入女性的高效筛查工具的验证
Public Health Genomics. 2016;19(6):342-351. doi: 10.1159/000452095. Epub 2016 Oct 28.
7
Sociodemographic, psychosocial and clinical factors associated with uptake of genetic counselling for hereditary cancer: a systematic review.与遗传性癌症遗传咨询接受情况相关的社会人口学、心理社会和临床因素:一项系统综述
Clin Genet. 2017 Aug;92(2):121-133. doi: 10.1111/cge.12868. Epub 2016 Oct 23.
8
An Assessment of Family History Information Captured in an Electronic Health Record.电子健康记录中所记录的家族病史信息评估
AMIA Annu Symp Proc. 2015 Nov 5;2015:2035-42. eCollection 2015.
9
Barriers and Facilitators to Patient-Provider Communication When Discussing Breast Cancer Risk to Aid in the Development of Decision Support Tools.在讨论乳腺癌风险以辅助决策支持工具开发时,患者与医护人员沟通的障碍与促进因素
AMIA Annu Symp Proc. 2015 Nov 5;2015:1352-60. eCollection 2015.
10
Family history intake: a challenge to personalized approaches in health promotion and disease prevention.家族病史采集:个性化健康促进和疾病预防方法面临的挑战。
Isr J Health Policy Res. 2015 Nov 20;4:60. doi: 10.1186/s13584-015-0055-2. eCollection 2015.

使用电子健康记录(EHR)中的乳腺癌家族史数据与自我报告相比进行自动遗传风险评估计算。

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

作者信息

Sin Margaret, McGuinness Julia E, Trivedi Meghna S, Vanegas Alejandro, Silverman Thomas B, Crew Katherine D, Kukafka Rita

机构信息

Columbia University Medical Center, New York, NY.

出版信息

AMIA Annu Symp Proc. 2018 Dec 5;2018:970-978. eCollection 2018.

PMID:30815140
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6371348/
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.

摘要

基因检测是一种评估遗传性癌症风险的方法。然而,它的使用不足,并且在先前的研究中已经评估了各种家族史收集方法。六点量表(SPS)是一种经过验证的家族史筛查工具,用于确定是否有资格接受BRCA基因咨询。我们利用结构化家族史数据以及电子健康记录(EHR)中的自由文本自动计算SPS评分,以检测乳腺癌的详细家族史信息。我们提取了2015年1月至2017年5月在哥伦比亚大学医学中心(CUMC)进行乳腺筛查的所有35至74岁女性的数据(N = 37,596)。在使用结构化和自由文本EHR数据计算SPS评分后,我们将结果与一项名为“了解你的风险:筛查评估”(KYRAS)的前瞻性研究进行的基线调查所计算的SPS评分进行了比较。在1202例有EHR结构化家族史数据的患者中,我们发现1.43%的患者SPS评分为6或更高,符合基因咨询转诊标准,而调查受访者中有12.05%的人SPS评分为6或更高。结果表明,需要更有效的方法通过EHR分析来识别有资格接受基因咨询的患者。