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2.
Eur J Cancer Prev ; 18(3): 169-78, 2009 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-19190494

RESUMEN

The objective of this study was to investigate the relationship between cancer incidence and socioeconomic status, and to examine the temporal trends in social inequalities in cancer risk. Educational differentials in the incidence of cancer (25 sites) among adult residents of Turin (Italy) were examined using data from the Turin Longitudinal Study and the Piedmont Cancer Registry. The relationship between cancer incidence and educational level was evaluated over three 5-year periods between 1985 and 1999 using Poisson models. An estimated 17% of malignancies among men in the low-educational group were attributable to education, whereas women with a low educational level were slightly protected. Less-educated men had higher risks of upper aero-digestive tract, stomach, lung, liver, rectal, bladder, central nervous system and ill-defined cancers, and lower risks of melanoma, kidney and prostate cancers. Women with lower educational levels were at higher risk of stomach, liver and cervical cancers, whereas they were less likely to be diagnosed with melanoma, ovarian and breast cancers. For most sites, the educational gradient in risk did not vary substantially over time. The educational inequalities in cancer incidence observed in this cohort appear similar in magnitude and direction to socioeconomic inequalities found in other Western countries; for some cancer sites results partly differ from the results of other studies, and require further investigation. A thorough understanding of the relative burden of well-documented causes of social inequalities in cancer risk is essential to address preventive measures and to direct future research on unexplained social differences.


Asunto(s)
Escolaridad , Neoplasias/epidemiología , Adulto , Femenino , Humanos , Incidencia , Italia/epidemiología , Masculino , Factores de Riesgo , Clase Social , Factores Socioeconómicos
3.
J Clin Epidemiol ; 61(4): 373-9, 2008 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-18313562

RESUMEN

OBJECTIVE: We have developed and validated an algorithm based on Piedmont hospital discharge abstracts for ascertainment of incident cases of breast, colorectal, and lung cancer. STUDY DESIGN AND SETTING: The algorithm training and validation sets were based on data from 2000 and 2001, respectively. The validation was carried out at an individual level by linkage of cases identified by the algorithm with cases in the Piedmont Cancer Registry diagnosed in 2001. RESULTS: The sensitivity of the algorithm was higher for lung cancer (80.8%) than for breast (76.7%) and colorectal (72.4%) cancers. The positive predictive values were 78.7%, 87.9%, and 92.6% for lung, colorectal, and breast cancer, respectively. The high values for colorectal and breast cancers were due to the model's ability to distinguish prevalent from incident cases and to the accuracy of surgery claims for case identification. CONCLUSIONS: Given its moderate sensitivity, this algorithm is not intended to replace cancer registration, but it is a valuable tool to investigate other aspects of cancer surveillance. This method provides a valid study base for timely monitoring cancer practice and related outcomes, geographic and temporal variations, and costs.


Asunto(s)
Algoritmos , Seguro de Hospitalización/estadística & datos numéricos , Registro Médico Coordinado/métodos , Neoplasias/epidemiología , Alta del Paciente/estadística & datos numéricos , Neoplasias de la Mama/epidemiología , Neoplasias Colorrectales/epidemiología , Bases de Datos Factuales , Femenino , Humanos , Incidencia , Italia/epidemiología , Neoplasias Pulmonares/epidemiología , Masculino , Curva ROC , Sistema de Registros , Sensibilidad y Especificidad
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