Skip Navigation
Skip to contents

PHRP : Osong Public Health and Research Perspectives


Author index

Page Path
HOME > Articles and issues > Author index
Atefeh-Sadat Hosseintabar Marzoni 1 Article
Gastric and Esophageal Cancers Incidence Mapping in Golestan Province, Iran: Using Bayesian–Gibbs Sampling
Atefeh-Sadat Hosseintabar Marzoni, Abbas Moghimbeigi, Javad Faradmal
Osong Public Health Res Perspect. 2015;6(2):100-105.   Published online April 30, 2015
  • 2,929 View
  • 17 Download
  • 4 Crossref
AbstractAbstract PDF
Recent studies of esophageal cancer (EC) and gastric cancer (GC) have been reported to have high incidence rates of these cancers in Golestan Province of Iran. The present study describes the geographical patterns of EC and GC incidence based on cancer registry data and display statistically significant regions within this province.
In order to map the distribution of upper gastrointestinal cancer, relative risk (RR) were calculated. Therefore, to estimate a more reliable RR, Poisson regression models were used. The adjusted models (adjusted to urban–rural area, sex, and grouped age proportion) were utilized. We considered two-component random effects for each observation, an unstructured (noncorrelated) and a group of “neighbor” (correlated) heterogeneities. We estimated the model parameters using Gibbs sampling and empirical Bayes method. We used EC and GC data that were registered with Golestan Research Center of Gastroenterology and Hepatology in the years 2004–2008.
The EC and GC maps were drawn for 2004–2008 in the province. Kalaleh and Minoodasht counties have a high RR of EC and GC in the years of study. In almost all years, the areas with a high RR were steady.
The EC and GC maps showed significant spatial patterns of risk in Golestan province of Iran. Further study is needed to multivariate clustering and mapping of cancers RRs with considering diet and socioeconomic factors.


Citations to this article as recorded by  
  • Design of risk prediction model for esophageal cancer based on machine learning approach
    Raoof Nopour
    Heliyon.2024; 10(2): e24797.     CrossRef
  • Meat consumption and risk of esophageal and gastric cancer in the Golestan Cohort Study, Iran
    Giulia Collatuzzo, Arash Etemadi, Masoud Sotoudeh, Arash Nikmanesh, Hossein Poustchi, Masoud Khoshnia, Akram Pourshams, Maryam Hashemian, Gholamreza Roshandel, Sanford M. Dawsey, Christian C. Abnet, Farin Kamangar, Paul Brennan, Paolo Boffetta, Reza Malek
    International Journal of Cancer.2022; 151(7): 1005.     CrossRef
  • Epidemiologic Study of Gastric Cancer in Iran: A Systematic Review

    Khadijeh Kalan Farmanfarma, Neda Mahdavifar, Soheil Hassanipour, Hamid Salehiniya
    Clinical and Experimental Gastroenterology.2020; Volume 13: 511.     CrossRef
  • Building cancer registries in a lower resource setting: The 10-year experience of Golestan, Northern Iran
    Gholamreza Roshandel, Shahryar Semnani, Abdolreza Fazel, Mohammadreza Honarvar, MohammadHossein Taziki, SeyedMehdi Sedaghat, Nafiseh Abdolahi, Mohammad Ashaari, Mohammad Poorabbasi, Susan Hasanpour, SeyedAhmad Hosseini, SeyedMohsen Mansuri, Ataollah Jahan
    Cancer Epidemiology.2018; 52: 128.     CrossRef

PHRP : Osong Public Health and Research Perspectives