医学
四分位间距
胰腺癌
内科学
危险系数
回顾性队列研究
糖尿病
置信区间
队列
比例危险模型
概化理论
肿瘤科
癌症
内分泌学
数学
统计
作者
Ben Boursi,Tal Patalon,Muriel Webb,Ofer Margalit,Tamar Beller,Yu–Xiao Yang,Gabriel Chodick
出处
期刊:Pancreas
[Lippincott Williams & Wilkins]
日期:2022-02-01
卷期号:51 (2): 196-199
被引量:21
标识
DOI:10.1097/mpa.0000000000002000
摘要
The Enriching New-onset Diabetes for Pancreatic Cancer (END-PAC) model identified patients at high-risk for pancreatic ductal adenocarcinoma (PDAC) more than 6 months before diagnosis. The current study aimed to validate the END-PAC model using a large, state-mandated health care provider database.A retrospective cohort study of patients older than 50 years that had a diagnosis of new-onset diabetes (NOD) between 2006 and 2015. A risk score was assigned according to the END-PAC model. Patients who developed PDAC over the 3-year period after NOD diagnosis were identified using the Israeli National Cancer Registry.Twenty-three percent (1245/5408) of NOD patients were classified as high-risk, of them 32 (2.6%) developed PDAC. Median follow-up time from NOD detection to PDAC diagnosis was 609 days (interquartile range, 367-997). The hazard ratio for PDAC diagnosis among individuals at the high-risk group compared with the low-risk group was 5.70 (95% confidence interval, 2.93-11.06). Using the high-risk group as the screening threshold, the sensitivity, specificity, positive predictive value and negative predictive value of the model were 54.2%, 76.98%, 2.57%, and 99.4%, respectively. Area under the curve of the model was 0.69.Our findings support the robustness, generalizability and clinical applicability of the END-PAC model.
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