在依赖结果的抽样中,将一个渐进的三态结肠直肠癌模型与间隔审查的监测数据相匹配,使用加权概率方法
Eddymurphy U Akwiwu1, Thomas Klausch1, Henriette C Jodal2,3
1Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam Public Health, Amsterdam, The Netherlands.
American journal of epidemiology
|August 30, 2024
概括
优化结肠直肠癌 (CRC) 监测需要了解从前恶性病变的风险. 使用结果依赖抽样的新统计方法准确估计了晚期腺瘤检测后的CRC风险,有助于监测策略.
科学领域:
- 胃肠病学 胃肠病学
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 准确的结肠直肠癌 (CRC) 发病风险评估对于优化监测策略至关重要.
- 从前体病变 (如晚期腺瘤 (AAs)) 直接观察CRC风险是困难的,因为它们在检测时被移除.
- 使用传统的统计方法估计这些风险是具有挑战性的,因为CRC的发病率很低.
研究的目的:
- 开发和应用一种新的统计方法来估计从前恶性病变中发展CRC的风险.
- 为了应对前体病变的去除和低CRC发病率所带来的挑战.
- 为优化CRC监控协议和资源分配提供数据.
主要方法:
- 提出了一个取决于结果的抽样 (ODS) 设计,以过量抽样CRC病例.
- 开发了一种三态统计模型,共同估计到先进腺瘤 (AA) 的时间和从AA到CRC的时间.
- 采用加权概率方法来解释挪威腺瘤队列中的ODS设计.
主要成果:
- 观察到5年13%的风险发展AA从非晚期腺瘤 (NAA) 和34%的AA.
- 在AA检测后,估计5年CRC发病风险为17%,这取决于年龄.
- 该方法成功估计了风险,尽管直接观察和低CRC发病率存在挑战.
结论:
- 拟议的ODS设计和三态模型提供了准确的估计,从前恶性病变的CRC风险.
- 这些发现支持优化监测强度,平衡CRC预防与资源利用.
- 这项研究为未来癌症监测和风险预测研究提供了有价值的统计框架.
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