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1.
Ann Ist Super Sanita ; 51(3): 209-16, 2015.
Article in English | MEDLINE | ID: mdl-26428045

ABSTRACT

INTRODUCTION: The analysis of the epidemiological data on cancer is an important tool to control and evaluate the outcomes of primary and secondary prevention, the effectiveness of health care and, in general, all cancer control activities. MATERIALS AND METHODS: The aim of the this paper is to analyze the cancer mortality in the Umbria region from 1978 to 2009 and incidence from 1994-2008. Sex and site-specific trends for standardized rates were analyzed by "joinpoint regression", using the surveillance epidemiology and end results (SEER) software. RESULTS: Applying the jointpoint analyses by sex and cancer site, to incidence spanning from 1994 to 2008 and mortality from 1978 to 2009 for all sites, both in males and females, a significant joinpoint for mortality was found; moreover the trend shape was similar and the joinpoint years were very close. In males standardized rate significantly increased up to 1989 by 1.23% per year and significantly decreased thereafter by -1.31%; among females the mortality rate increased in average of 0.78% (not significant) per year till 1988 and afterward significantly decreased by -0.92% per year. Incidence rate showed different trends among sexes. In males was practically constant over the period studied (not significant increase 0.14% per year), in females significantly increased by 1.49% per year up to 2001 and afterward slowly decreased (-0.71% n.s. estimated annual percent change - EAPC). CONCLUSIONS: For all sites combined trends for mortality decreased since late '80s, both in males and females; such behaviour is in line with national and European Union data. This work shows that, even compared to health systems that invest more resources, the Umbria public health system achieved good health outcomes.


Subject(s)
Neoplasms/epidemiology , Adult , Cost of Illness , Epidemiologic Methods , Female , Humans , Incidence , Italy/epidemiology , Male , Neoplasms/mortality , Population Surveillance , Regression Analysis , Sex Factors
2.
Eur J Cancer ; 49(18): 3881-8, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24011933

ABSTRACT

PURPOSE: We investigated the effect of fasting blood glucose and body mass index (BMI) at diagnosis on risk of breast cancer death for cases diagnosed in five Italian cancer registries in 2003-2005 and followed up to the end of 2008. METHODS: For 1607 Italian women (≥15 years) with information on BMI or blood glucose or diabetes, we analysed the risk of breast cancer death in relation to glucose tertiles (≤84.0, 84.1-94.0, >94.0 mg/dl) plus diabetic and unspecified categories; BMI tertiles (≤23.4, 23.5-27.3, >27.3 kg/m(2), unspecified), stage (T1-3N0M0, T1-3N+M0 plus T4anyNM0, M1, unspecified), oestrogen (ER) and progesterone (PR) status (ER+PR+, ER-PR-, ER and PR unspecified, other), age, chemotherapy and endocrine therapy, using multiple regression models. Separate models for ER+PR+ and ER-PR- cases were also run. RESULTS: Patients often had T1-3N0M0, ER+PR+ cancers and received chemotherapy or endocrine therapy; only 6% were M1 and 17% ER-PR-. Diabetic patients were older and had more often high BMI (>27 kg/m(2)), ER-PR-, M1 cancers than other patients. For ER+PR+ cases, with adjustment for other variables, breast cancer mortality was higher in women with high BMI than those with BMI 23.5-27.3 kg/m(2) (hazard ratio (HR)=2.9, 95% confidence interval (CI) 1.2-6.9). Breast cancer mortality was also higher in women with high (>94 mg/dl) blood glucose compared to those with glucose 84.1-94.0mg/dl (HR=2.6, 95% CI 1.2-5.7). CONCLUSION: Our results provide evidence that in ER+PR+ patients, high blood glucose and high BMI are independently associated with increased risk of breast cancer death. Detection and correction of these factors in such patients may improve prognosis.


Subject(s)
Blood Glucose/metabolism , Breast Neoplasms/mortality , Fasting/blood , Obesity/complications , Adolescent , Adult , Aged , Aged, 80 and over , Body Mass Index , Breast Neoplasms/complications , Breast Neoplasms/metabolism , Diabetes Complications , Female , Humans , Italy , Logistic Models , Middle Aged , Multivariate Analysis , Receptors, Estrogen/metabolism , Receptors, Progesterone/metabolism , Registries/statistics & numerical data , Risk Assessment , Risk Factors , Survival Rate , Young Adult
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