scholarly journals Assessment of lung cancer mortality reduction after chest X-ray screening in smokers: A population-based cohort study in Varese, Italy

Lung Cancer ◽  
2013 ◽  
Vol 80 (1) ◽  
pp. 50-54 ◽  
Author(s):  
Lorenzo Dominioni ◽  
Albino Poli ◽  
William Mantovani ◽  
Salvatore Pisani ◽  
Nicola Rotolo ◽  
...  
BMC Cancer ◽  
2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Lorenzo Dominioni ◽  
Nicola Rotolo ◽  
William Mantovani ◽  
Albino Poli ◽  
Salvatore Pisani ◽  
...  

2020 ◽  
Vol 77 (4) ◽  
pp. 207-213 ◽  
Author(s):  
John M Dement ◽  
Knut Ringen ◽  
Stella Hines ◽  
Kim Cranford ◽  
Patricia Quinn

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 sensitisation and personal history of cancer. Competing risk Cox models were used to obtain HRs and to predict 5-year risks.ResultsFactors beyond age and smoking included in the final predictive model were chest X-ray changes, abnormal lung function, chronic obstructive pulmonary disease (COPD), respiratory symptoms, BMI, personal history of cancer and having worked 5 or more years at a DOE site or in construction. Risk-based LDCT eligibility demonstrated improved sensitivity, specificity and positive predictive value compared with current US Preventive Services Task Force guidelines. The risk of lung cancer death from 5 years of work in the construction industry or at a DOE site was comparable with the risk from a personal cancer history, a family history of cancer or a diagnosis of COPD. LDCT eligibility criteria used for DOE construction workers, which includes factors beyond age and smoking, identified 86% of participants who eventually would die from lung cancer compared with 51% based on age and smoking alone.ConclusionsResults support inclusion of risk from occupational exposures and non-malignant respiratory clinical findings in LDCT clinical guidelines.


2006 ◽  
Vol 48 (11) ◽  
pp. 1166-1172 ◽  
Author(s):  
Djamila Meguellati-Hakkas ◽  
Diane Cyr ◽  
Isabelle St??cker ◽  
Jo??lle F??votte ◽  
Corinne Pilorget ◽  
...  

2019 ◽  
Vol 145 (12) ◽  
pp. 3267-3275 ◽  
Author(s):  
Jihoon Kang ◽  
Yoosoo Chang ◽  
Jiin Ahn ◽  
Sukjoong Oh ◽  
Dong‐Hoe Koo ◽  
...  

2009 ◽  
Vol 124 (8) ◽  
pp. 1900-1906 ◽  
Author(s):  
Angela Neumeyer-Gromen ◽  
Oliver Razum ◽  
Norbert Kersten ◽  
Andreas Seidler ◽  
Hajo Zeeb

2013 ◽  
Vol 28 (2) ◽  
pp. 159-168 ◽  
Author(s):  
Matthias Möhner ◽  
Norbert Kersten ◽  
Johannes Gellissen

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1502-1502
Author(s):  
Niloofar Taghizadeh ◽  
Judith M. Vonk ◽  
H. Marike Boezen

1502 Background: There are indications of an association between Body Mass Index (BMI) and risk of different cancer types. There is dispute whether this association differs between males and females. Methods: We studied the association of BMI at the first survey with risk of mortality from the most common types of cancer (lung, colorectal, breast and prostate cancer) in a large general population-based cohort study (Vlagtwedde-Vlaardingen, 1965-1990) with follow-up on mortality status until 2009. Additionally, we assessed this association based on tertiles of the annual change in BMI (defined as the difference between BMI at last survey and first survey divided by the time between last and first survey). We used 3 categories of BMI (< 25 kg/m2, 25-30 kg/m2, and ≥ 30 kg/m2) and changes in BMI (< 0.02 kg/m2/yr, 0.02-0.2 kg/m2/yr, and > 0.2 kg/m2/yr) in the analyses. The multivariate Cox regression model was adjusted for age, smoking, gender. Analyses were additionally stratified by gender and smoking. Results: Among all 8645 subjects, 1194 died due to cancer (lung cancer: 275; colorectal cancer: 134; breast cancer: 117; prostate cancer: 83). Mortality from all types of cancer was significantly increased in subjects with BMI > 30 kg/m2 (HR (95 % CI)) = 1.22 (1.00-1.48)), especially in females (1.38 (1.06-1.81)) and in never smokers (1.39 (1.02-1.90)). Prostate cancer mortality was significantly increased in males with BMI 25-30 kg/m2 (2.04 (1.90-3.83)) and > 30 kg/m2 (2.61 (1.02-6.67)). This association between prostate cancer mortality and BMI was higher in smokers. Lung cancer mortality risk was decreased in subjects with BMI 25-30 kg/m2 (0.71 (0.54-0.93)) and > 30 kg/m2 (0.82 (0.50-1.32)), especially in males, in smokers, and in smoking males. There were no significant associations between BMI and colorectal or breast cancer mortality nor between change in BMI and mortality from all analyzed types of cancer. Conclusions: We show that an increase in BMI is associated with an increased risk of mortality from all types of cancer in females and with an increased mortality risk from prostate cancer in males but with a decreased lung cancer mortality risk, especially in males. More research is needed into the biological mechanisms that link BMI to cancer.


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