Lambert Paul C, Andersson Therese M L, Myklebust Tor Åge, Møller Bjørn, Rutherford Mark J
Department of Registration, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.
Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Cancer Epidemiol Biomarkers Prev. 2025 Jul 1;34(7):1141-1148. doi: 10.1158/1055-9965.EPI-24-1727.
Along with incidence and mortality, temporal trends of cancer survival are a crucial part of cancer surveillance and control. The most common reported statistic is net survival, usually age standardized to an external reference population. However, net survival has an awkward interpretation, which has led to confusion and misunderstanding.
We describe the use of reference-adjusted all-cause survival, and the crude probability of death as an alternative to net survival for the analysis of temporal trends in cancer survival. Reference-adjusted measures aim to enable fair comparisons by incorporating additional reference-expected mortality rates into the estimation process. The different approaches are illustrated using data on 95,285 women diagnosed with breast cancer in Norway from 1986 to 2021.
We compare different age distributions for age standardization and describe how using a recent calendar period for both the reference-expected mortality rates and age distribution for standardization leads to simple interpretation.
Reference-adjusted measures for monitoring temporal trends in cancer survival can lead to improved understanding and is of more relevance to patients and policy makers who live and make decisions in the real world. Using the most recent calendar period for both the age standard and the reference-expected mortality rates leads to simple and useful interpretation of the measures.
Increasing the use of reference-adjusted measures in the analysis of population-based cancer studies will enhance the understanding of cancer survival trends. The freely available software increases the likelihood of uptake.
除发病率和死亡率外,癌症生存率的时间趋势是癌症监测与控制的关键部分。最常报告的统计数据是净生存率,通常会根据外部参考人群进行年龄标准化。然而,净生存率的解释比较复杂,容易导致混淆和误解。
我们描述了使用参考调整后的全因生存率以及粗死亡概率作为净生存率的替代指标,用于分析癌症生存率的时间趋势。参考调整后的指标旨在通过在估计过程中纳入额外的参考预期死亡率,实现公平比较。使用1986年至2021年挪威95285名乳腺癌确诊女性的数据对不同方法进行了说明。
我们比较了年龄标准化的不同年龄分布,并描述了将最近一个日历期同时用于参考预期死亡率和标准化年龄分布如何带来简单的解释。
用于监测癌症生存率时间趋势的参考调整指标有助于增进理解,对在现实世界中生活和做决策的患者及政策制定者更具相关性。将最近一个日历期同时用于年龄标准和参考预期死亡率,可使这些指标得到简单且有用的解释。
在基于人群的癌症研究分析中增加参考调整指标的使用,将增进对癌症生存趋势的理解。免费提供的软件增加了采用的可能性。