完整的患病率和癌症治愈指标:在意大利基于人口的癌症注册表中改进方法和验证
Federica Toffolutti1, Stefano Guzzinati2, Angela De Paoli2
1Cancer Epidemiology Unit, Centro di Riferimento Oncologico di Aviano (CRO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy.
Frontiers in oncology
|June 22, 2023
概括
这项研究引入了从注册数据计算癌症治愈指标的方法,揭示了患者的显著治愈流行率,特别是那些在诊断后五年内存活的患者.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 在瘤学瘤学.
背景情况:
- 基于人口的癌症登记册对于流行病学研究至关重要.
- 估计癌症治愈和患病率需要复杂的统计方法.
- 现有的方法可能无法完全捕捉长期的癌症结果.
研究的目的:
- 描述获得完整癌症患病率和治愈指标的程序.
- 评估不同完整性指数 (R) 的表现.
- 估计关键的癌症治愈指标,如治愈分数和治愈流行率.
主要方法:
- 利用了来自意大利人口的47%的癌症登记数据,用于62种癌症类型.
- 通过概率比测试验验证的就业发病率和生存模型.
- 应用混合治愈模型来估计净生存率,治愈分数和治愈流行率.
主要成果:
- 韦布尔的生存模型对大多数常见癌症有很好的适应性.
- 在65-74岁的男性中,治愈率为41%,净生存率达到49-50%.
- 55-64岁的结肠直肠癌患者显示48%已经治愈,治愈率为89%; >5年幸存者治愈率为97.5%.
结论:
- 该研究详细描述了患病率和癌症治愈指标.
- 突出了这些指标的相互联系和解释.
- 这些可测量和可重复的指标对全球患者和临床实践具有重要意义.
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