Van der Bij Sjoukje, Vermeulen Roel C H, Portengen Lützen, Moons Karel G M, Koffijberg Hendrik
Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands NIVEL, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Occup Environ Med. 2016 May;73(5):342-9. doi: 10.1136/oemed-2014-102614. Epub 2016 Feb 8.
Exposure to asbestos fibres increases the risk of mesothelioma and lung cancer. Although the vast majority of mesothelioma cases are caused by asbestos exposure, the number of asbestos-related lung cancers is less clear. This number cannot be determined directly as lung cancer causes are not clinically distinguishable but may be estimated using varying modelling methods.
We applied three different modelling methods to the Dutch population supplemented with uncertainty ranges (UR) due to uncertainty in model input values. The first method estimated asbestos-related lung cancer cases directly from observed and predicted mesothelioma cases in an age-period-cohort analysis. The second method used evidence on the fraction of lung cancer cases attributable (population attributable risk (PAR)) to asbestos exposure. The third method incorporated risk estimates and population exposure estimates to perform a life table analysis.
The three methods varied substantially in incorporated evidence. Moreover, the estimated number of asbestos-related lung cancer cases in the Netherlands between 2011 and 2030 depended crucially on the actual method applied, as the mesothelioma method predicts 17 500 expected cases (UR 7000-57 000), the PAR method predicts 12 150 cases (UR 6700-19 000), and the life table analysis predicts 6800 cases (UR 6800-33 850).
The three different methods described resulted in absolute estimates varying by a factor of ∼2.5. These results show that accurate estimation of the impact of asbestos exposure on the lung cancer burden remains a challenge.
接触石棉纤维会增加患间皮瘤和肺癌的风险。虽然绝大多数间皮瘤病例是由接触石棉引起的,但与石棉相关的肺癌数量尚不清楚。由于肺癌的病因在临床上无法区分,所以无法直接确定这一数量,但可以使用不同的建模方法进行估计。
我们将三种不同的建模方法应用于荷兰人群,并因模型输入值的不确定性补充了不确定性范围(UR)。第一种方法在年龄-时期-队列分析中,直接根据观察到的和预测的间皮瘤病例估计与石棉相关的肺癌病例。第二种方法使用了归因于石棉暴露的肺癌病例比例(人群归因风险(PAR))的证据。第三种方法纳入风险估计和人群暴露估计以进行生命表分析。
这三种方法在纳入的证据方面有很大差异。此外,2011年至2030年荷兰与石棉相关的肺癌病例估计数关键取决于所应用的实际方法,因为间皮瘤方法预测有17500例预期病例(UR 7000 - 57000),PAR方法预测有12150例(UR 6700 - 19000),生命表分析预测有6800例(UR 6800 - 33850)。
所描述的三种不同方法得出的绝对估计值相差约2.5倍。这些结果表明,准确估计石棉暴露对肺癌负担的影响仍然是一项挑战。