2020
DOI: 10.1136/oemed-2019-106196
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Lung cancer mortality among construction workers: implications for early detection

Abstract: ObjectivesThis study examined predictors of lung cancer mortality, beyond age and smoking, among construction workers employed at US Department of Energy (DOE) sites to better define eligibility for low-dose CT (LDCT) lung cancer screening.MethodsPredictive models were based on 17 069 workers and 352 lung cancer deaths. Risk factors included age, gender, race/ethnicity, cigarette smoking, years of trade or DOE work, body mass index (BMI), chest X-ray results, spirometry results, respiratory symptoms, beryllium… Show more

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Cited by 24 publications
(19 citation statements)
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“…Construction workers were also identified as at risk of lung cancer mortality. They were found at higher risk of lung cancer than other blue-collar workers, even after adjusting for smoking and socio-demographic variables 38 and we also observed this. Therefore, we think it is likely that Swiss construction workers may have been exposed to IARC group 1 carcinogens such as asbestos, silica dust, and diesel engine exhaust, 22 highly prevalent in this occupational group.…”
Section: Discussionsupporting
confidence: 81%
“…Construction workers were also identified as at risk of lung cancer mortality. They were found at higher risk of lung cancer than other blue-collar workers, even after adjusting for smoking and socio-demographic variables 38 and we also observed this. Therefore, we think it is likely that Swiss construction workers may have been exposed to IARC group 1 carcinogens such as asbestos, silica dust, and diesel engine exhaust, 22 highly prevalent in this occupational group.…”
Section: Discussionsupporting
confidence: 81%
“…Dement and colleagues used this nuclear weapons construction worker cohort and a related larger construction worker population to develop a lung cancer risk prediction model (BTMed model) that includes age, gender, race, smoking history, spirometry, chest X-ray finding of parenchymal fibrosis and/or pleural plaques, occupational history of ≥5 years of work in construction, body mass index, and personal history of cancer [ 50 ]. Applying the lung cancer screening criteria described above in the Welch et al study yielded an 85.6% sensitivity, a 56.8% specificity, and a 4.2% positive predictive value.…”
Section: Current Knowledgementioning
confidence: 99%
“…This level of sensitivity compares favorably with that of the PLCO m2012 model (85.2%) and of the Two-Stage Clonal Expansion (83.8%), though the specificity is somewhat lower. Dement et al applied the 2013 USPSTF-recommended screening criteria (age 50–80 years, ≥30 pack-years of smoking, and quitting <15 years in past) to their dataset and obtained a 50.9% sensitivity, an 81.2% specificity, and a 5.7% positive predictive value [ 50 ]. This large decline in sensitivity, from 85.6% to 50.9%, using the different eligibility criteria, represents a failure of the 2013 USPSTF criteria (which exclude occupation) to detect as many as 40% of the lung cancers detected in the study.…”
Section: Current Knowledgementioning
confidence: 99%
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“…In fact it is the main cause of cancer-related mortality worldwide [1][2][3]. In the literature we can nd a variety of works that focus on preventing lung cancer [4][5][6][7] and on implications for early detection [8][9]. It is a cancer that causes signi cant suffering among patients, both physical [10][11][12][13] and mental [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%