Nonlinear dose–response relationship between radon exposure and the risk of lung cancer

التفاصيل البيبلوغرافية
العنوان: Nonlinear dose–response relationship between radon exposure and the risk of lung cancer
المؤلفون: Tingting Yu, Changjiang Liu, Zongtao Yu, Ansoumane Kourouma, Suqin Qi, Kedi Yang, Fei Xie, Jicai Zhang, Hong Zheng, Zhixiang Liu, Xiuxue Hu, Chao Quan, Bo Gao, Wenjuan Fu, Chunhui Hu, Chengmin Wang, Peng Duan
المصدر: European Journal of Cancer Prevention. 24:267-277
بيانات النشر: Ovid Technologies (Wolters Kluwer Health), 2015.
سنة النشر: 2015
مصطلحات موضوعية: Cancer Research, Lung Neoplasms, Epidemiology, Cumulative Exposure, Occupational Exposure, Odds Ratio, Humans, Medicine, Proportional Hazards Models, business.industry, Public Health, Environmental and Occupational Health, Dose-Response Relationship, Radiation, Environmental Exposure, Odds ratio, Radiation Exposure, Confidence interval, Standardized mortality ratio, Risk Estimate, Nonlinear Dynamics, Oncology, Radon, Relative risk, Meta-analysis, Standardized rate, business, Demography
الوصف: Although radon exposure (RE) has been confirmed to increase the risk of lung cancer (LC), questions remain about the shape of the dose-response relationship between RE and the risk of LC. We carried out a dose-response meta-analysis to investigate and quantify the potential dose-response association between residential and occupational exposure to radon and the risk of LC. All cohort and case-control studies published in English and Chinese on Embase, PubMed, and China National Knowledge Infrastructure (CNKI) digital databases through November 2013 were identified systematically. We extracted effect measures (relative risk, odds ratio, standardized mortality ratio, standardized incidence ratio, or standardized rate ratio) from individual studies to generate pooled results using meta-analysis approaches. We derived meta-analytic estimates using random-effects models taking into account the correlation between estimates. Restricted cubic splines and generalized least-squares regression methods were used to model a potential curvilinear relationship and to carry out a dose-response meta-analysis. Stratified analysis, sensitivity analysis, and assessment of bias were performed in our meta-analysis. Sixty publications fulfilling the inclusion criteria for this meta-analysis were finally included. Occupational RE was associated with LC [risk ratio 1.86, 95% confidence interval (CI)=1.67-2.09; I-2=92.2%; 27 prospective studies], for pooled risk estimate of the: standardized mortality ratio [2.00 (95% CI=1.82-2.32)]; standardized incidence ratio [1.45 (95% CI=1.20-1.74)]; relative risk [2.10 (95% CI=1.64-2.69)]. In a subgroup analysis of uranium miners and residents exposed to occupational uranium, the summary risk was 2.23 (95% CI=1.86-2.68) and 1.23 (95% CI=1.05-1.44). The overall meta-analysis showed evidence of a nonlinear association between RE and the risk of LC (P-nonlinearity < 0.014); in addition, the point value of residential radon also improved the results quantitatively, where odds ratios were 1.11 (95% CI=1.07-1.15) and 1.21 (95% CI=1.14-1.29) when the radon concentration was at the point of 100 and 200 Bq/m(3) compared with the lowest. For 17 prospective studies with at least three categories of occupational cumulative radon dose, the dose-risk model estimated a risk ratio of 1.26 (95% CI=1.21-1.30) for 100 working level months and 1.51 (95% CI=1.38-1.65) for 200 working level months, respectively. The assessment of risk of bias within individual studies and across studies indicated risk that was unlikely to alter these results markedly. This meta-analysis shows a nonlinear dose-response association between environmental RE and the risk of LC. This increased risk is particularly apparent when the cumulative exposure to radon is well beyond that resulting from exposure to the recommended limit concentration for a prolonged period of time.
تدمد: 0959-8278
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::078403d7bb0008cbf7fd5f3ba6d05e0e
https://doi.org/10.1097/cej.0000000000000066
رقم الأكسشن: edsair.doi.dedup.....078403d7bb0008cbf7fd5f3ba6d05e0e
قاعدة البيانات: OpenAIRE