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Institution

Cancer Epidemiology Unit

About: Cancer Epidemiology Unit is a based out in . It is known for research contribution in the topics: Population & Cancer. The organization has 669 authors who have published 1725 publications receiving 93979 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper presents a review of the scientific literature investigating the epidemiology of epithelial ovarian cancer and the role of other reproductive and environmental factors, such as infertility, fertility drugs and hormone replacement therapy, is less clear.
Abstract: Banks E, Beral V, Reeves G. The epidemiology of epithelial ovarian cancer: a review. Int J Gynecol Cancer 1997; 7: 425–438. This paper presents a review of the scientific literature investigating the epidemiology of epithelial ovarian cancer. Epithelial ovarian cancer is an important cause of cancer death among women in industrialized countries, and incidence increases with age. It is more common among women of low parity and among those with a family history of the disease. Oral contraceptive use, hysterectomy, oophorectomy, and sterilization have all been shown to protect against epithelial ovarian cancer, while the role of other reproductive and environmental factors, such as infertility, fertility drugs and hormone replacement therapy, is less clear. The evidence to date is discussed in this review.

59 citations

Journal ArticleDOI
TL;DR: Despite the persisting rises in female lung cancer, the recent trends in cancer mortality in the EU are encouraging and indicate that an 11% reduction in total cancer mortality from 2000 to 2015 is realistic and possible.

59 citations

Journal ArticleDOI
TL;DR: Life expectancy provides meaningful information on cancer patients, and can help in assessing when a cancer survivor can be considered as cured, slowly approaching that of cancer-free women.

59 citations

Journal ArticleDOI
TL;DR: This population-based study shows that there are socio-economic inequalities in the prevalence of diabetes, particularly in women, and in young people, and that prevention of diabetes should be mainly focused on the socially disadvantaged strata of the population.
Abstract: Background and aims A surveillance programme on diabetes based on administrative data is being implemented in the city of Turin, Italy. The aim of this study is to assess socio-economic differences in the prevalence of diabetes in this large Italian population-based cohort. Methods and results People with known diabetes resident in Turin on July 31, 2003 were identified through three data sources: the regional register of persons with diabetes, hospital discharges and prescriptions for antidiabetic drugs. Data sources were linked to the Turin population register to obtain individual data on educational level and census tract median income. Missing cases were estimated by using the capture–recapture method. We identified 34,420 persons with diabetes; prevalence adjusted for undercount was 4.91% (95% Confidence Intervals: 4.69–5.22) among men and 4.68% (4.41–5.08) among women. Age adjusted prevalence ratios between low and high educational levels were 2.32 (2.23–2.41) in men, and 3.45 (3.28–3.62) in women. Social inequalities were larger in women than in men and in people aged 21–65 years than in those age >65 years. Conclusion This population-based study shows that there are socio-economic inequalities in the prevalence of the disease, particularly in women, and in young people. Our findings indicate that: (1) prevention of diabetes should be mainly focused on the socially disadvantaged strata of the population; (2) a low cost surveillance programme of diabetes using routinely collected data is feasible to better assist public health policies.

59 citations


Authors

Showing all 669 results

NameH-indexPapersCitations
Richard Peto183683231434
Kay-Tee Khaw1741389138782
Silvia Franceschi1551340112504
Timothy J. Key14680890810
Hans-Olov Adami14590883473
Alicja Wolk13577866239
Paolo Vineis134108886608
Lars Klareskog13169763281
Eva Negri129101066735
John A. Baron12860961182
Jack Cuzick12875479979
Anders Ekbom11661351430
C. La Vecchia11581753460
Valerie Beral11447153729
Carlo La Vecchia112126556282
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2021174
2020131
2019130
201890
201784
201678