School of Public Health, University of Alberta, Edmonton, AB, Canada.
School of Public Health, University of Alberta, Edmonton, AB, Canada.
Cancer Epidemiol. 2020 Aug;67:101721. doi: 10.1016/j.canep.2020.101721. Epub 2020 May 13.
The cumulative burden from rare cancers has not been adequately explored in Canada. This analysis aims to characterize the occurrence of rare cancers among Canadians and estimate the probability of being diagnosed with a rare cancer among cancer patients with different demographic characteristics.
The Canadian Cancer Registry was used for this analysis. Cancer types were classified in three ways: using the SEER site recode scheme; by histology group; and by site/histology group. The age-standardized incidence rate (ASIR) and 95 % confidence intervals (CI) for each cancer type was estimated for diagnoses from 2006 to 2016. Two ASIR thresholds were used to classify cancers as rare:6/100,000/year and 15/100,000/year. Log-binomial regression was used to estimate the adjusted probability of having a rare cancer among those with cancer by age, sex and geographic region.
Using the 6/100,000/year threshold, the incidence proportion (IP) of rare cancers ranged from 9.7 %(95 %CI:9.6,9.7 %)-17.0 %(95 %CI:16.9,17.0 %), and ranged from 19.2 %(95 %CI:19.1,19.3 %)-52.5 %(95 %CI:52.0,53.0 %) using the <15/100,000/year threshold. The adjusted probability of being diagnosed with a rare cancer was highest among those aged ≤19 years. There was higher concordance in estimates of the burden of rare cancers across methods to classify cancer types when the lower incidence rate threshold was used to define rare cancers.
This analysis yielded evidence that rare cancers comprise a substantial proportion of annual cancer diagnoses among Canadians. Findings from this analysis point to using a lower incidence rate threshold, to generate estimates of the burden of rare cancers that are robust to different cancer classification schemes.
加拿大尚未充分探讨罕见癌症的累积负担。本分析旨在描述加拿大罕见癌症的发生情况,并估计不同人口统计学特征的癌症患者中诊断为罕见癌症的概率。
本分析使用加拿大癌症登记处的数据。癌症类型通过三种方式进行分类:使用 SEER 部位重新编码方案;通过组织学分组;以及通过部位/组织学分组。为 2006 年至 2016 年的诊断评估了每种癌症类型的年龄标准化发病率 (ASIR) 和 95%置信区间 (CI)。使用两个 ASIR 阈值将癌症分类为罕见:6/100,000/年和 15/100,000/年。对数二项式回归用于估计癌症患者中罕见癌症的调整后概率,该概率按年龄、性别和地理区域进行分层。
使用 6/100,000/年的阈值,罕见癌症的发病率比例 (IP) 范围为 9.7%(95%CI:9.6,9.7%)-17.0%(95%CI:16.9,17.0%),使用 <15/100,000/年的阈值范围为 19.2%(95%CI:19.1,19.3%)-52.5%(95%CI:52.0,53.0%)。在 ≤19 岁年龄组中,诊断为罕见癌症的调整后概率最高。当使用较低的发病率阈值来定义罕见癌症时,用于分类癌症类型的不同方法对罕见癌症负担的估计具有更高的一致性。
本分析结果表明,罕见癌症占加拿大年度癌症诊断的相当大比例。本分析结果表明,使用较低的发病率阈值来生成罕见癌症负担的估计值是稳健的,不会受到不同癌症分类方案的影响。