Spatial Analysis of Stomach Cancer Incidence in Iran

Pakzad, Reza; Khani, Yousef; Pakzad, Iraj; Momenimovahed, Zohre; Mohammadian-Hashejani, Abdollah; Salehiniya, Hamid; Towhidi, Farhad; Makhsosi, Behnam Reza

doi:10.7314/apjcp.2016.17.s3.27

Cited by 18 publications

(16 citation statements)

References 22 publications

(27 reference statements)

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“…This study reveals that the spatial variable has negative significant effect where districts with lower levels of patient status were usually surrounded by districts with higher levels of patient status and that districts with higher incidence of cancer were usually surrounded by districts with lower incidence of cancer, which is in line with studies by Pakzad et al 19 and Shen et al 20 This demonstrated that spatial epidemiology offers insight into ways that individual characteristics, community attributes, and physical environments interact to produce distinctive risk, illness, and disease management patterns.…”

Section: Discussionsupporting

confidence: 91%

“…However, there was no any interaction effect between all selected covariates with 15% entry and 20% stay significance level. As numerous studies in different areas and eras 18 – 23 reported that cancer is highly interrelated with age, we realized that maintaining the covariate age in our model ( Table 7 ) is advisable. To perceive the effect of independent variables at the beginning, intercept-only ordinal logistic regression (OLR) model without any independent variables was fitted.…”

Section: Model Fitting and Estimating Parametersmentioning

confidence: 99%

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Modeling the Spatial Distribution of Cancer and Determining the Associated Risk Factors

Tesfaw

Muluneh

2020

Cancer Inform

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Background: Cancer is the second leading cause of death globally. Despite developing countries including Ethiopia continuing to shoulder the greatest burden, insufficient research has been conducted to determine geographical and other characteristic effects. The main objective of this study was to assess the distribution and risk of cancer and determine the effects of some common clinical patient characteristics on current patient status by taking into account the spatial effect. Methods: The data for this study were obtained from the oncology ward of Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia. About 415 cancer patients were included in the study. Spatial mixed ordinal logistic regression model was used to explore the geographical patterns of the incidence of cancer and identify the risk factors. Results: The findings of this study show that only 1.45% of patients were cured and 46.02% improved, whereas the rest have shown no change and even worse status after treatment. The estimated odds of patients who received chemotherapy was 4.284 times the estimated odds of patients who received palliative care. Prognostic factor (stage of cancer tumor), complication of cancer such as anemia during diagnosis, and treatment of patients given in the hospital had significant effect on the patient status. Conclusion: Patients without anemia were more likely to be cured and improved than patients with anemia during diagnosis. Most of the patients had advanced stage (IV) of cancer tumor, which dismantles the capability of the treatment to be less effective. There was negative spatial effect on the incidence of cancer, indicating that districts with higher cancer incidence were usually surrounded by districts with lower incidence.

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Section: Discussionsupporting

confidence: 91%

Section: Model Fitting and Estimating Parametersmentioning

confidence: 99%

Modeling the Spatial Distribution of Cancer and Determining the Associated Risk Factors

Tesfaw

Muluneh

2020

Cancer Inform

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“…The results obtained in this study are consistent with the results of previous studies (7,(24)(25)(26)(27). Mahaki et al (7) used the SC model to investigate the shared and specific risk factors for seven cancers at the provincial level.…”

supporting

confidence: 92%

Mapping Spatial Variation of The Stomach, Esophageal and Lung Cancers and Their Shared Risk Factors in Iran at a County Level

Ghasemi

Dreassi

Aghamohammadi

et al. 2020

Preprint

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Background: Disease mapping has a long history in epidemiology. Evaluating the spatial pattern of several diseases, as well as shared and specific risk factors in mortality, is considered as one of the applications of disease mapping. Stomach, esophageal, and lung cancers are among the five most common cancers among both genders in Iran, but no study is available on the spatial distribution of their mortality rate in Iran. The present study aimed to investigate the geographical distribution of the relative risk of mortality and to define the spatial pattern of shared and specific risk factors for the above-mentioned three cancers by sharing their mortality data at the county level in Iran.Method: This study analyzed the mortality data of stomach, esophageal, and lung cancers in Iran from March 2013 - March 2015. The Besag, York, and Mollie’s (BYM) model and Shared Component (SC) models were used for investigating the spatial changes of cancer mortality and determining the spatial pattern of their shared and specific risk factors. Data analysis was conducted using R and OpenBUGS software.Results: The number of deaths for the esophageal, stomach, and lung cancers in Iran from March 2013 -March 2014, was 11,720 of which stomach and lung cancers were 50% and 30%, respectively. The spatial pattern of the stomach and esophageal cancer mortality was more similar to that of lung cancer due to the risk factors shared only between esophageal and stomach cancers.Conclusion: The effects of smoking on lung cancer mortality were higher than the other two cancers. The available data indicated that esophageal cancer mortality was more affected by nutritional factors than stomach cancer mortality in Iran. The effect of nutritional factors on stomach and esophageal cancer mortality in the northern half of Iran was higher than the southern half. As a result, the relative risk of these cancers mortality in the southern half was more affected by smoking than nutritional factors.

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“…The disease is the fourth most common type of cancer and the second leading cause of death due to cancer in the world. Gastric cancer causes about 10.4% of deaths globally (2). It is estimated that 930,000 new cases of stomach cancer occur in the world and about 700,000 deaths due to GC are reported each year (2).…”

Section: Introductionmentioning

confidence: 99%

“…Gastric cancer causes about 10.4% of deaths globally (2). It is estimated that 930,000 new cases of stomach cancer occur in the world and about 700,000 deaths due to GC are reported each year (2). The incidence of the disease is especially high in East Asia, Eastern Europe, and some parts of Central and South America (6).…”

Section: Introductionmentioning

confidence: 99%

Trend of Geographical Distribution of Stomach Cancer in Iran From 2004-2014

Moradian

Fararouei

Karami

et al. 2020

Preprint

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Background: Among different common types of cancer, Gastric cancer (GC) is a worldwide health priority in both developing and developed countries. The aim of this study was to map the distribution of incident cases of GC in Iran to provide a geographical presentation of the incidence of the disease.Methods: This study used the Iranian National Cancer Registry (INCR) data from 2004 to 2014. Excel was used to do the primary analysis including calculation of GC incidence for each province and also to provide a frequency table of the type and location of GC by the provinces. ArcGIS 10.5 (Redlands, CA, USA) mapping software was used to map the provincial age-standardized incidence rates by sex. The type and location of the GC cases were obtained from the NCR dataset.Results: According to the results of the present study, the patients were predominantly male 49,907 (70.0%). During the study period, the highest and lowest age-standardized incidence rates of GC in Iran in 2014 were reported from Ardebil (IR=30.19) and Ghom (IR=1.00) respectively. A significant difference was observed when the distribution of the location of GC tumors was compared between males and females (P<0.001).Conclusions: The results of the current study suggested a lower rate of GC incidence rate was reported in Iran when compared to the global figure in both females and males. The findings suggest involving different factors with different effects in GC among Iranian populations. Further studies are needed to better understand the epidemiology and etiology of the disease.

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Spatial Analysis of Stomach Cancer Incidence in Iran

Cited by 18 publications

References 22 publications

Modeling the Spatial Distribution of Cancer and Determining the Associated Risk Factors

Modeling the Spatial Distribution of Cancer and Determining the Associated Risk Factors

Mapping Spatial Variation of The Stomach, Esophageal and Lung Cancers and Their Shared Risk Factors in Iran at a County Level

Trend of Geographical Distribution of Stomach Cancer in Iran From 2004-2014

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