Cancer prevalence in Italy: an analysis of geographic variability View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-09

AUTHORS

Stefano Guzzinati, Carlotta Buzzoni, Roberta De Angelis, Stefano Rosso, Giovanna Tagliabue, Marina Vercelli, Fabio Pannozzo, Lucia Mangone, Silvano Piffer, Mario Fusco, Adriano Giacomin, Adele Traina, Riccardo Capocaccia, Luigino Dal Maso, Emanuele Crocetti, AIRTUM working group

ABSTRACT

PURPOSE: Statistics on cancer prevalence are scanty. The objectives of this study were to describe the cancer prevalence in Italy and to explore determinants of geographic heterogeneity. METHODS: The study included data from 23 population-based cancer registries, including one-third of the Italian population. Five-year cancer prevalence was observed, and complete prevalence (i.e., all patients living after a cancer diagnosis) was estimated through sex-, age-, cancer site-, and observation period length-specific completeness indices by means of regression models. RESULTS: In 2006, 3.8 % of men and 4.6 % of women in Italy were alive after a cancer diagnosis, with a 5-year prevalence of 1.9 % and 1.7 % in men and women, respectively. A relevant geographic variability emerged for all major cancer sites. When compared to national pooled estimates, crude cancer prevalence proportions were 10 % higher in the north and 30 % lower in the south of Italy. However, these variations were consistently reduced after age adjustment and, in both sexes, largely overlapped those of incidence rates, with correlations >0.90 between variations of prevalence and incidence for all cancer sites and areas. CONCLUSIONS: Magnitude of the cancer prevalence and the geographic heterogeneity herein outlined in Italy will help in meeting the needs of specific population of survivor patients. More... »

PAGES

1497-1510

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-012-0025-8

DOI

http://dx.doi.org/10.1007/s10552-012-0025-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017374614

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22821425


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