建模报告 延迟癌症发病率计数 在不断发展的美国和加拿大基于人口的癌症登记环境中
Huann-Sheng Chen1, Douglas Midthune2, Zhaohui Zou3
1National Cancer Institute, Rockville, Maryland, United States.
概括
由于报告延迟,癌症登记处经常不充分报告病例. 这种新方法提供了准确的,延迟调整的癌症发病率趋势,改善了癌症监测统计数据.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 来自美国和加拿大注册表的癌症发病率数据提交给北美中央癌症注册表协会 (NAACCR).
- 年度病例计数以两年滞后发布,并每年更新一次,导致初始报告不足和发生率趋势的潜在偏差.
- 报告的延迟因登记处,癌症部位和人口群体而异.
研究的目的:
- 开发和验证一种新的统计方法,用于估计延迟调整的癌症发病率计数.
- 通过考虑报告延迟,提高癌症监测统计的准确性.
- 将延迟调整方法的应用扩展到更广泛的癌症注册表和数据.
主要方法:
- 修改了现有的方法,以适应各个注册表中异质的报告延迟模式.
- 将新方法应用于单个注册表和综合结果,用于人口层面和亚人口层面的分析.
- 开发了一个扩展模型,从初步数据中提供验证的延迟调整率,缩短报告时间.
主要成果:
- 白人男性肝脏和肝脏内胆道癌的延迟调整率显示稳定趋势,与未调整率不同.
- 该模型揭示了基于癌症部位,种族和种族的报告延迟的显著差异.
- 扩展模型成功地将经过验证的延迟调整率的报告时间从两年缩短到一年.
结论:
- 调整报告延迟对于获得准确的癌症发病率趋势至关重要.
- 提出的方法是实用的实施和推进癌症登记处延迟调整领域.
- 这种新模型通过提供更及时,更准确的发病率估计来提高癌症监测数据的实用性.
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