结直肠癌
医学
风险评估
肿瘤科
癌症
中国
结直肠癌筛查
内科学
计算机科学
结肠镜检查
地理
计算机安全
考古
作者
Dong Hang,Dianjianyi Sun,Lingbin Du,Jianv Huang,Jiacong Li,Chen Zhu,Le Wang,Jingjing He,Xia Zhu,Meng Zhu,Ci Song,Juncheng Dai,Canqing Yu,Zekuan Xu,Ni Li,Hongxia Ma,Guangfu Jin,Ling Yang,Yiping Chen,Huaidong Du
出处
期刊:Cancer Letters
[Elsevier BV]
日期:2024-06-12
卷期号:597: 217057-217057
被引量:2
标识
DOI:10.1016/j.canlet.2024.217057
摘要
Risk prediction tools for colorectal cancer (CRC) have potential to improve the efficiency of population-based screening by facilitating risk-adapted strategies. However, such an applicable tool has yet to be established in the Chinese population. In this study, a risk score was created using data from the China Kadoorie Biobank (CKB), a nationwide cohort study of 409,854 eligible participants. Diagnostic performance of the risk score was evaluated in an independent CRC screening programme, which included 91,575 participants who accepted colonoscopy at designed hospitals in Zhejiang Province, China. Over a median follow-up of 11.1 years, 3136 CRC cases were documented in the CKB. A risk score was created based on nine questionnaire-derived variables, showing moderate discrimination for 10-year CRC risk (C-statistic = 0.68, 95 % CI: 0.67-0.69). In the CRC screening programme, the detection rates of CRC were 0.25 %, 0.82 %, and 1.93 % in low-risk (score <6), intermediate-risk (score: 6-19), and high-risk (score >19) groups, respectively. The newly developed score exhibited a C-statistic of 0.65 (95 % CI: 0.63-0.66), surpassing the widely adopted tools such as the Asia-Pacific Colorectal Screening (APCS), modified APCS, and Korean Colorectal Screening scores (all C-statistics = 0.60). In conclusion, we developed a novel risk prediction tool that is useful to identify individuals at high risk of CRC. A user-friendly online calculator was also constructed to encourage broader adoption of the tool.
科研通智能强力驱动
Strongly Powered by AbleSci AI