Incorporating Structured and Unstructured Data Sources to Identify and Characterize Hereditary Cancer Testing Among Veterans With Metastatic Castration-Resistant Prostate Cancer.

IF 2.8 Q2 ONCOLOGY JCO Clinical Cancer Informatics Pub Date : 2025-02-01 Epub Date: 2025-02-10 DOI:10.1200/CCI-24-00189
Danielle Candelieri-Surette, Anna Hung, Fatai Y Agiri, Mengke Hu, Elizabeth E Hanchrow, Kyung Min Lee, Nai-Chung N Chang, Ming Yin, Jeffrey W Shevach, Weiyan Li, Tyler J Nelson, Anthony Gao, Kathryn M Pridgen, Martin W Schoen, Scott L DuVall, Yu-Ning Wong, Julie A Lynch, Patrick R Alba
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Abstract

Purpose: This study introduces an integrated approach using structured and unstructured data from an electronic health record to identify and characterize patient utilization of hereditary cancer genetic testing among patients with metastatic castration-resistant prostate cancer (mCRPC). Secondary objectives were to describe factors associated with the receipt of testing.

Methods: This retrospective cohort study included a cohort of Veterans diagnosed with mCRPC from January 2016 to December 2021. Receipt of genetic testing was identified using structured and unstructured data. Time to testing, age at testing, and testing rate were analyzed. Sociodemographic and clinical factors associated with receipt of hereditary cancer genetic testing were identified including race, marital status, rurality, Charlson comorbidity index (CCI), and genetic counseling.

Results: Among 9,703 Veterans with mCRPC who did not decline testing, 16% received genetic testing, with nearly half of the tests occurring in 2020-2021. Factors positively associated with genetic testing included receipt of genetic counseling (adjusted odds ratio [aOR], 11.07 [95% CI, 3.66 to 33.51]), enrollment in clinical trial (aOR, 7.42 [95% CI, 5.59 to 9.84]), and treatment at a Prostate Cancer Foundation-Veterans Affairs Center of Excellence (aOR, 1.43 [95% CI, 1.04 to 1.95]). Negative associations included older age (aOR, 0.95 [95% CI, 0.93 to 0.97]) and severe CCI score (aOR, 0.82 [95% CI, 0.71 to 0.94]). Trends revealed that time to testing decreased per diagnosis year while median age at testing increased per year.

Conclusion: Although testing rates are still suboptimal, they have increased steadily since 2016. Educating Veterans about the benefits of genetic testing may further improve testing rates.

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结合结构化和非结构化数据源识别和表征转移性去势抵抗性前列腺癌退伍军人的遗传癌症检测。
目的:本研究介绍了一种综合方法,使用来自电子健康记录的结构化和非结构化数据来识别和表征转移性去势抵抗性前列腺癌(mCRPC)患者中遗传性癌症基因检测的使用情况。次要目的是描述与接受检测相关的因素。方法:本回顾性队列研究纳入了2016年1月至2021年12月诊断为mCRPC的退伍军人队列。使用结构化和非结构化数据确定基因检测的接收情况。分析了测试时间、测试年龄和测试率。与接受遗传性癌症基因检测相关的社会人口学和临床因素被确定,包括种族、婚姻状况、农村、Charlson合并症指数(CCI)和遗传咨询。结果:在9703名未拒绝检测的mCRPC退伍军人中,16%接受了基因检测,其中近一半的检测发生在2020-2021年。与基因检测呈正相关的因素包括接受遗传咨询(校正优势比[aOR], 11.07 [95% CI, 3.66至33.51]),参加临床试验(aOR, 7.42 [95% CI, 5.59至9.84]),以及在前列腺癌基金会-退伍军人事务卓越中心接受治疗(aOR, 1.43 [95% CI, 1.04至1.95])。负相关包括年龄较大(aOR, 0.95 [95% CI, 0.93 ~ 0.97])和严重CCI评分(aOR, 0.82 [95% CI, 0.71 ~ 0.94])。趋势显示,每个诊断年的检测时间减少,而检测年龄中位数每年增加。结论:虽然检测率仍不理想,但自2016年以来稳步上升。教育退伍军人基因检测的好处可能会进一步提高检测率。
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CiteScore
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自引率
4.80%
发文量
190
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