scholarly journals Convergence of male and female lung cancer mortality at younger ages in the European Union and Russia

2007 ◽  
Vol 17 (5) ◽  
pp. 450-454 ◽  
Author(s):  
W. A. Zatonski ◽  
M. Manczuk ◽  
J. Powles ◽  
E. Negri
BMJ ◽  
2005 ◽  
Vol 331 (7510) ◽  
pp. 189-191 ◽  
Author(s):  
Joanna Didkowska ◽  
Marta Manczuk ◽  
Ann McNeill ◽  
John Powles ◽  
Witold Zatonski

2017 ◽  
Vol 72 ◽  
pp. S181
Author(s):  
F. Kraja ◽  
I. Akshija ◽  
I. Harizi ◽  
E. Karaulli ◽  
O. Spahiu ◽  
...  

2016 ◽  
pp. ckw203 ◽  
Author(s):  
Raffaella Uccelli ◽  
Marina Mastrantonio ◽  
Pierluigi Altavista ◽  
Emanuela Caiaffa ◽  
Giorgio Cattani ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253854
Author(s):  
Ayşe Arık ◽  
Erengul Dodd ◽  
Andrew Cairns ◽  
George Streftaris

Background We identify socioeconomic disparities by region in cancer morbidity and mortality in England for all-cancer and type-specific cancers, and use incidence data to quantify the impact of cancer diagnosis delays on cancer deaths between 2001–2016. Methods and findings We obtain population cancer morbidity and mortality rates at various age, year, gender, deprivation, and region levels based on a Bayesian approach. A significant increase in type-specific cancer deaths, which can also vary among regions, is shown as a result of delay in cancer diagnoses. Our analysis suggests increase of 7.75% (7.42% to 8.25%) in female lung cancer mortality in London, as an impact of 12-month delay in cancer diagnosis, and a 3.39% (3.29% to 3.48%) increase in male lung cancer mortality across all regions. The same delay can cause a 23.56% (23.09% to 24.30%) increase in male bowel cancer mortality. Furthermore, for all-cancer mortality, the highest increase in deprivation gap happened in the East Midlands, from 199 (186 to 212) in 2001, to 239 (224 to 252) in 2016 for males, and from 114 (107 to 121) to 163 (155 to 171) for females. Also, for female lung cancer, the deprivation gap has widened with the highest change in the North West, e.g. for incidence from 180 (172 to 188) to 272 (261 to 282), whereas it has narrowed for prostate cancer incidence with the biggest reduction in the South West from 165 (139 to 190) in 2001 to 95 (72 to 117) in 2016. Conclusions The analysis reveals considerable disparities in all-cancer and some type-specific cancers with respect to socioeconomic status. Furthermore, a significant increase in cancer deaths is shown as a result of delays in cancer diagnoses which can be linked to concerns about the effect of delay in cancer screening and diagnosis during the COVID-19 pandemic. Public health interventions at regional and deprivation level can contribute to prevention of cancer deaths.


2011 ◽  
Vol 2011 (1) ◽  
Author(s):  
Shu-Yuan Chen ◽  
Chieh-Wen Chen ◽  
Yao-Chin Wang ◽  
Jen-Feng Yeh ◽  
Tzu-Chi Chiu

2014 ◽  
Vol 5 (4) ◽  
pp. 35-53
Author(s):  
Timothy S. Hare ◽  
Chad Wells ◽  
Nicole Johnson

This article explores regional disparities in lung cancer mortality for females and males and associated factors across central Appalachia and surrounding regions. It asks, how are lung cancer mortality rates distributed geographically, what are the relative contributions of specific factors to lung cancer disparities by sex, and how do the effects of these factors vary across the study area? This study is based on county-level data of potential determinants of disease to explore local effects on lung cancer mortality. It analyzes these data using a combination of spatial statistical analyses. The analysis shows that the spatial clustering of high lung cancer mortality rates differs for females and males. Additionally, the factors associated with lung cancer for females and males differ greatly. For instance, tobacco use is associated with male lung cancer mortality, but not with female lung cancer mortality. These factors also vary in their geographical relationships with female and male lung cancer mortality.


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