Incidence and Bayesian Mapping of Myeloid Hematologic Malignancies in Sardinia, Italy

Broccia G., Carter J., ÖZŞİN ÖZLER C., De Matteis S., Cocco P.

Cancer Control, cilt.30, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1177/10732748231202906
  • Dergi Adı: Cancer Control
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE, Directory of Open Access Journals
  • Anahtar Kelimeler: acute, Bayes theorem, incidence, leukemia, livestock, myelodysplastic syndromes, myeloid, myeloid malignancy, socio-economic factors
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Background: The epidemiology of myeloid hematologic malignancies in Italy has been poorly investigated. Methods: We used a validated database of 1974-2003 incident cases of hematologic malignancies among the resident population (all ages) of Sardinia, Italy, to describe the incidence of myeloid malignancies overall (N = 4389 cases) and by subtype. We investigated the time trend of acute myeloid leukemia (N = 1227 cases), chronic myeloid leukemia (N = 613 cases), and myelodysplastic syndrome (N = 1296 cases), and used Bayesian methods to explore their geographic spread, and Poisson regression analysis to estimate their association with environmental and socio-economic factors. Results: The annual standardized (world population) incidence rate (IR) of myeloid malignancies over the study period was 6.5 per 100,000 (95% CI 6.2-6.7). Myelodysplastic syndromes were the most prevalent subgroup (IR = 1.7, 95% CI 1.5-1.8). Incidence of all myeloid malignancies combined increased sharply during the study period with an annual percent change (APC) of 10.06% (95% CI 9.51-10.61), 19.77% for myelodysplastic syndromes (95% CI 19.63-19.91), and 3.18% (95% CI 2.99-3.37) for acute myeloid leukemia. Chronic myeloid leukemia did not show an upward trend. Apart from sporadic excesses in small rural communities and the major urban area, there was no evidence of spatial clustering. The risk of myeloid malignancies increased with increasing prevalence of sheep breeding. Conclusions: Our results might prompt further research on the local genetic and environmental determinants of myeloid hematologic malignancies.