A Meta-Analysis: Air Quality and Lung Cancer Mortality

10/10/2019 ∙ by Ying Zhao, et al. ∙ 0 ∙ share

Lung cancer has become one of the most epidemic and fatal malignant neoplasm related diseases for humans in the world. The epidemiological studies conducted over the previous several decades have provided the evidence that exposure to air pollution of particulate matters, such as PM 10 and PM 2.5, over a certain period of time, is associated with elevated mortality. This analysis is going to evaluate how the air quality affect the lung cancer mortality rate with different regional and pollutant matter factors.In this meta-analysis project, our team conducted the analysis gathering 20 studies through Embase, PubMed and Web of Science. Risk ratio (RR) and Hazard ratio (HR) with 95 intervals was used to assess the strength of association between the air quality and mortality of lung cancer.

READ FULL TEXT

Estimating and Forecasting the Smoking-Attributable Mortality Fraction for Both Sexes Jointly in 69 Countries

Smoking is one of the preventable threats to human health and is a major...
02/20/2019 ∙ by Yicheng Li, et al. ∙ 0 ∙ share

read it
Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs

Disease maps are an important tool in cancer epidemiology used for the a...
11/26/2019 ∙ by Leiwen Gao, et al. ∙ 0 ∙ share

read it
Knowledge-based Analysis for Mortality Prediction from CT Images

Recent studies have highlighted the high correlation between cardiovascu...
02/20/2019 ∙ by Hengtao Guo, et al. ∙ 4 ∙ share

read it
Particulate Matter Exposure and Lung Cancer: A Review of two Meta-Analysis Studies

The current regulatory paradigm is that PM2.5, over time causes lung can...
11/04/2020 ∙ by S. Stanley Young, et al. ∙ 0 ∙ share

read it
PM2.5 and all-cause mortality

The US EPA and the WHO claim that PM2.5 is causal of all-cause deaths. B...
10/31/2020 ∙ by S. Stanley Young, et al. ∙ 0 ∙ share

read it
Discovering Effect Modification and Randomization Inference in Air Pollution Studies

Studies have shown that exposure to air pollution, even at low levels, s...
02/19/2018 ∙ by Kwonsang Lee, et al. ∙ 0 ∙ share

read it
Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies

Early detection of clinical outcomes such as cancer may be predicted bas...
08/21/2019 ∙ by Yongli Han, et al. ∙ 0 ∙ share

read it

A Meta-Analysis: Air Quality and Lung Cancer Mortality

Authors

Estimating and Forecasting the Smoking-Attributable Mortality Fraction for Both Sexes Jointly in 69 Countries

Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs

Knowledge-based Analysis for Mortality Prediction from CT Images

Particulate Matter Exposure and Lung Cancer: A Review of two Meta-Analysis Studies

PM2.5 and all-cause mortality

Discovering Effect Modification and Randomization Inference in Air Pollution Studies

Statistical approaches using longitudinal biomarkers for disease early detection: A comparison of methodologies

This week in AI