数字工具,用于遗传癌症风险评估在历史上服务不足的人群:一个随机对照试验
Emily M Webster1, Muhammad Danyal Ahsan1, Isabelle R Chandler1
1Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA; Genetics and Personalized Cancer Prevention Program, Weill Cornell Medicine, New York, NY, USA.
American journal of obstetrics and gynecology
|March 29, 2025
概括
数字工具显著提高了高风险癌症患者的鉴定,以便在服务不足的人群中进行基因测试,从而有可能减少遗传服务的差异.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 健康差异 在健康上的差异
背景情况:
- 大多数患有癌症倾向的生殖系病原体变异的个体未被识别,特别是在服务不足的社区.
- 这突显了癌症风险评估和遗传咨询的关键差距.
- 解决这些差异对于公平的癌症护理至关重要.
研究的目的:
- 为了比较数字风险分层工具的有效性与用于识别高风险患者的通常临床医生面试.
- 评估建议进行遗传性癌症综合征遗传检测的患者比例.
- 探索二次结果,如遗传测试完成和健康的社会决定因素.
主要方法:
- 一个随机对照试验,涉及一个城市学术诊所的新妇科患者.
- 患者被随机分配1:1到数字工具或临床医生驱动的面试,以进行遗传风险评估.
- 基因检测的资格符合国家综合癌症网络的指导方针.
主要成果:
- 数字工具与识别和推高风险患者进行基因检测的可能性更高有关 (88%与15%相比;P=.002).
- 在高风险患者中,数字工具组的50%和对照组的15%进行了基因检测 (P=.146).
- 健康的社会决定因素没有影响干预组中使用数字工具的情况.
结论:
- 数字遗传癌症风险分层工具提高了服务不足人群中高风险患者的识别和推.
- 整合这些工具可以帮助缓解利用遗传服务的差异.
- 这种方法支持更公平地获得基因测试和咨询.
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