Relative Risk of Gastrointestinal Cancers in Isfahan County, Iran, 2005-2010.

Gastrointestinal neoplasms Geographic Mapping relative risk

Journal

Advanced biomedical research
ISSN: 2277-9175
Titre abrégé: Adv Biomed Res
Pays: India
ID NLM: 101586897

Informations de publication

Date de publication:
2022
Historique:
received: 02 02 2021
revised: 17 05 2021
accepted: 19 10 2021
entrez: 7 4 2022
pubmed: 8 4 2022
medline: 8 4 2022
Statut: epublish

Résumé

Spatial disease mapping is a widespread tool in ecological analysis to obtain accurate estimates for incidence, relative risks (RRs), prevalence, or mortality rates regarding to increase the incidence of gastrointestinal (GI) cancer in Isfahan in recent years. This study aimed to inspect the RR of GI cancer in Isfahan counties using empirical and full Bayesian model. Data of this ecological study were GI cancer cases which registered in health-care system of Isfahan University of Sciences during 2005-2010. We applied shared component model to model the spatial variation incidence rates of the GI cancers. We compared three models such as Gamma-Poisson, lognormal, and Besag, York, and Mollie (BYM) Bayesian. WinBUGS and GIS 10.1 software were used. According to the fitted model, BYM model had best fit to the data. However, in general, ranks of RRs in most counties are identical; counties with higher RR in one map have higher RR in other maps. Geographical maps for three cancers in women were smoother than men. Isfahan has high RR in women, whereas this point is slightly different in men. Daran, FreidoonShahr, and Isfahan are cities which have high RR in esophagus, stomach, and colon cancer, respectively. Lognormal and BYM maps had very similar results. Despite some differences in estimation values, in nearly all maps arias Isfahan had high RR in GI cancer. It is recommended to promote the use of screening programs and increase awareness of people in high RR areas to reduce the incidence of GI cancer.

Sections du résumé

Background UNASSIGNED
Spatial disease mapping is a widespread tool in ecological analysis to obtain accurate estimates for incidence, relative risks (RRs), prevalence, or mortality rates regarding to increase the incidence of gastrointestinal (GI) cancer in Isfahan in recent years. This study aimed to inspect the RR of GI cancer in Isfahan counties using empirical and full Bayesian model.
Materials and Methods UNASSIGNED
Data of this ecological study were GI cancer cases which registered in health-care system of Isfahan University of Sciences during 2005-2010. We applied shared component model to model the spatial variation incidence rates of the GI cancers. We compared three models such as Gamma-Poisson, lognormal, and Besag, York, and Mollie (BYM) Bayesian. WinBUGS and GIS 10.1 software were used.
Results UNASSIGNED
According to the fitted model, BYM model had best fit to the data. However, in general, ranks of RRs in most counties are identical; counties with higher RR in one map have higher RR in other maps. Geographical maps for three cancers in women were smoother than men. Isfahan has high RR in women, whereas this point is slightly different in men. Daran, FreidoonShahr, and Isfahan are cities which have high RR in esophagus, stomach, and colon cancer, respectively.
Conclusions UNASSIGNED
Lognormal and BYM maps had very similar results. Despite some differences in estimation values, in nearly all maps arias Isfahan had high RR in GI cancer. It is recommended to promote the use of screening programs and increase awareness of people in high RR areas to reduce the incidence of GI cancer.

Identifiants

pubmed: 35386540
doi: 10.4103/abr.abr_253_20
pii: ABR-11-21
pmc: PMC8977617
doi:

Types de publication

Journal Article

Langues

eng

Pagination

21

Informations de copyright

Copyright: © 2022 Advanced Biomedical Research.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Vahid Ahmadipanah (V)

Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran.

Behzad Mahaki (B)

Department of Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Maryam Nasirian (M)

Department of Epidemiology and Biostatistics, Faculty of Health, Isfahan University of Medical Sciences, Isfahan, Iran.

Maryam Zamani (M)

Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Akbar Hassanzadeh (A)

Department of Epidemiology and Biostatistics, Faculty of Health, Isfahan University of Medical Sciences, Isfahan, Iran.

Classifications MeSH