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Stima del numero di casi incidenti e prevalenti di tumore del polmone non a piccole cellule, per istotipo, nelle regioni italiane

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Giornale Italiano di Health Technology Assessment

Summary

The objective of this epidemiological evaluation was to estimate regional and national incidence and prevalence of non small cell lung cancer (NSCLC) in Italy, as a tool both for oncologists and health decision-makers. We were able to provide an estimate of incidence and prevalence of three major histological subtypes of NSCLC — squamous cell carcinoma, adenocarcinoma, and large cell carcinoma — in 2008, accessing to the AIRTUM databank, which gathers data from 23 local cancer registries and three specialized cancer registers. The analysis considered the entire Italian population aged 0–84 years.

With this study we were able to obtain the following estimated data for national incidence of each of the considered NSCLC histological subtypes: adenocarcinoma 33.9% in males and 46.1% in females; squamous cell carcinoma 28.5% in males and 16% in females; large cell carcinoma 2.6% in males and 2.9% in females.

National prevalence estimate data resulted in a total of 76,116 cases, of which 57,953 in males and 16,163 in females. Among males, histological subtypes prevalence was distributed as follows: 47.6% squamous cell carcinoma, 44.9% adenocarcinoma, and 2.5% large cell carcinoma. In women adenocarcinomas represented 70% of prevalent NSCLC cases, squamous cell carcinomas 20.9%, and large cell carcinomas 1.9%.

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Bibliografia

  1. AIRT Working group. I tumori in Italia — rapporto 2006. Incidenza, mortalità e stime. Epidemiologia & Prevenzione 2006; 30 (Suppl. 1): 64–65

    Google Scholar 

  2. Fritz A, Percy C, Jack A, et al. International classification of diseases for oncology. Third edition. Geneva: World Health Organization, 2000

    Google Scholar 

  3. Ries LAG, Melbert D, Krapcho M, et al. (eds). SEER Cancer Statistics Review, 1975–2005. National Cancer Institute, Bethesda, MD. http://seer.cancer.gov/csr/1975_2005/, based on November 2007 SEER data submission, posted to the SEER web site, 2008

    Google Scholar 

  4. Dyba T, Hakulinen T, Päivärinta L. A simple non-linear model in incidence prediction. Stat in Med 1997; 16: 2297–309

    Article  CAS  Google Scholar 

  5. Verdecchia A, Capocaccia R, Egidi V Golini A. A method for the estimation of chronic disease morbidity and trends from mortality data. Stat Med 1989; 8: 201–16

    Article  PubMed  CAS  Google Scholar 

  6. Capocaccia R. Estimation of morbidity from chronic disease mortality. In: Morgenstern W, Chigan E, Prokhorskas R, et al. (eds). Models of non communicable diseases health status and health service requirements. Berlin: Springer-Verlag, 1992: 33–44

    Google Scholar 

  7. Capocaccia R. Relationships between incidence and mortality in non-reversible diseases. Stat Med 1993; 12: 2395–415

    Article  PubMed  CAS  Google Scholar 

  8. Verdecchia A, De Angelis G, Capocaccia R. Estimation and projections of cancer prevalence from cancer registry data. Stat Med 2002; 21: 3511–26

    Article  PubMed  Google Scholar 

  9. Curado MP, Edwards B, Shin HR, et al. (eds). Cancer incidence in five continents. Vol. IX. Lyon: IARC Scientific Publications No. 160, 2007

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Associazione Italiana Registro Tumori. Stima del numero di casi incidenti e prevalenti di tumore del polmone non a piccole cellule, per istotipo, nelle regioni italiane. G. Ital. Health Technol. Assess 1, 15–20 (2008). https://doi.org/10.1007/BF03320709

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  • DOI: https://doi.org/10.1007/BF03320709

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