Electronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes

家族史 外展 鉴定(生物学) 癌症登记处 医学 基因检测 癌症 指南 医学遗传学 语句(逻辑) 家庭医学 病史 遗传学 病理 内科学 生物 植物 政治学 基因 法学
作者
Vinit Singh,Thomas Rafter,Mohamad Sharbatji,Jing Liu,Quiana Brown,Karina L. Brierley,Claire M. Healy,Rosa M. Xicola,Nitu Kashyap,Xavier Llor
出处
期刊:Journal of Medical Genetics [BMJ]
卷期号:: jmg-110718
标识
DOI:10.1136/jmg-2025-110718
摘要

Background Despite well-established criteria for genetic testing to rule out hereditary cancer syndromes (HCSs), most pathogenic variant (PV) carriers are not being tested. Thus, mechanisms that allow for better identification and a streamlined process for testing need to be implemented. The main purpose was to develop a self-updating, guideline-driven tool integrated with the electronic health record (EHR) to prospectively identify at-risk individuals and facilitate outreach and diagnosis. Methods National Comprehensive Cancer Network/American College of Medical Genetics criteria for genetic testing were translated into three distinct rule-based conditional logic statements in the EHR from 218 rules that serially evaluate each aspect of individual criteria, which together roll up into a logic statement of ‘at-risk’. The rules evaluate personal or family history, determine age at onset and categorise family relationships. This tool is applied to a system-wide registry of active patients. Results Out of 1 325 545 individuals, 59 377 (4.48%) were identified as at-risk and thus constitute the At-Risk Cancer Genetic Syndrome Identification (ARCAGEN-ID) registry. Of those, only 12 377 (20.9%) had previously been evaluated, and 2506 had a PV. ARCAGEN-ID appropriately included 96.2% of cases. ARCAGEN-ID individuals not previously evaluated were more often included based on family history criteria (79.8% vs 49.3%), and less often because of both personal and family history of cancer (13% vs 41%) (p<0.001). Conclusions This study is the first to use an EHR-based registry for the automatic and prospective identification of individuals eligible for genetic testing based on current criteria for all major HCS. By streamlining the identification process, this approach has the potential to dramatically increase diagnostic rates and improve cancer-related survival.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
春风十里完成签到,获得积分10
刚刚
刚刚
huohuo发布了新的文献求助10
1秒前
大胆春天完成签到 ,获得积分10
1秒前
cassandra1231发布了新的文献求助20
1秒前
1秒前
科研通AI5应助RMY采纳,获得10
2秒前
JingjingYao完成签到,获得积分10
2秒前
lmy发布了新的文献求助10
2秒前
pdd发布了新的文献求助10
2秒前
科学徐完成签到,获得积分20
2秒前
乐乐应助ju龙哥采纳,获得10
3秒前
拉长的服饰完成签到,获得积分10
4秒前
科研通AI5应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
qianxie发布了新的文献求助10
5秒前
图图应助zhang005on采纳,获得10
5秒前
Lucas应助的订单采纳,获得10
6秒前
怡然平萱完成签到,获得积分10
6秒前
KRYSTAL完成签到,获得积分10
6秒前
6秒前
123完成签到,获得积分10
6秒前
小王发布了新的文献求助50
6秒前
痴情的茈完成签到,获得积分10
7秒前
东日完成签到,获得积分20
7秒前
7秒前
核桃应助无解采纳,获得10
7秒前
周周完成签到 ,获得积分10
8秒前
phg022发布了新的文献求助10
8秒前
ssr010902完成签到,获得积分10
8秒前
乱码89757完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
科研通AI5应助lgs采纳,获得10
9秒前
YUYUYU完成签到,获得积分10
10秒前
10秒前
小肥鱼完成签到,获得积分10
10秒前
honey完成签到 ,获得积分10
10秒前
高分求助中
Handbook of Diagnosis and Treatment of DSM-5-TR Personality Disorders 800
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
建筑材料检测与应用 370
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3830889
求助须知:如何正确求助?哪些是违规求助? 3373241
关于积分的说明 10478854
捐赠科研通 3093377
什么是DOI,文献DOI怎么找? 1702503
邀请新用户注册赠送积分活动 819081
科研通“疑难数据库(出版商)”最低求助积分说明 771251