Skip to main content
Cancer Reports logoLink to Cancer Reports
. 2024 Mar 4;7(3):e2001. doi: 10.1002/cnr2.2001

Burden of upper gastrointestinal cancers in the east of Golestan province (Golestan cohort study)

Mohammad‐Ali Jahani 1, Raziyeh Esmaeili 2, Mahdi Abbasi 3, Hossein‐Ali Nikbakht 1, Habibollah Azarbakhsh 4, Gholamreza Roshandel 5, Sahar Delavari 6, Layla Shojaie 7, Ghahraman Mahmoudi 8,
PMCID: PMC10910303  PMID: 38433617

Abstract

Background

Cancers, especially Upper Gastrointestinal Cancers (UGCs), pose a substantial burden on society, particularly in developing nations. Golestan province, Iran, is known for its high UGC rates globally.

Aims

This study delves into the disease burden of UGCs in the eastern part of Golestan province.

Methods and Results

This study was conducted using the results of the Golestan cohort study. 2711 patients participating in this cohort, who visited Atrak Clinic during 2001–2020, participated in this study. After excluding patients with incomplete records, 2481 patients were included in the study. To compute the metrics of years of life lost (YLL), years of life lived with disability (YLD), and disability‐adjusted life years (DALY), we utilized the World Health Organization's standard life table, stratified by age and gender. The majority of UGC patients in our study were married (81.8%), had limited formal education (82.6%), and were predominantly male (61.1%). A substantial proportion resided in suburban areas (85.8%), and over half of the patients (52%) reported a history of drug addiction. The mean age at diagnosis for men was 65.76 years with a standard deviation of 11.34, while for women, it was 64.38 years with a standard deviation of 11.66. Regarding disease impact, YLL, YLD, and DALY for men were 21 240, 1956, and 23 196 (307.8 per 100 000), respectively. For women, these figures were 15 609 for YLL, 1367 for YLD, and 16 976 (223.1 per 100 000) for DALY.

Conclusion

After the increasing trend of the burden of UGCs in Golestan province in the early years of the study, this rate has been decreasing in recent years. Effective strategies necessitate collaborative efforts across various sectors to alleviate this burden, focusing on preventive measures, timely diagnosis, and well‐coordinated therapeutic interventions.

Keywords: burden of disease, disability‐adjusted life years, Iran, upper gastrointestinal cancer

1. INTRODUCTION

The global disease landscape has shifted toward non‐communicable diseases, with the primary drivers of this transformation being urbanization and demographic shifts within the population. 1 Currently, non‐communicable diseases are the main cause of death worldwide. 2 Cancers rank among the most prevalent non‐communicable diseases and stand as the leading cause of mortality in almost 50 high‐income nations. Notably, lung, liver, stomach, colorectal, breast, and cervical cancers feature prominently among the top ten causes of cancer‐related fatalities worldwide. 1 In 2019, there were approximately 23.6 million newly diagnosed cases and 10 million cancer‐related deaths worldwide. Among the 22 groups of diseases and injuries in the global burden of disease study GBD 2019, cancer ranked second globally after cardiovascular diseases in terms of mortality, years of life lost (YLL), and disability‐adjusted life year (DALY). 3

Statistics reveal that nearly three‐quarters of non‐communicable disease‐related mortalities occur in low‐ and middle‐income nations. 2 For example, in the Eastern Mediterranean Region, about 60% of deaths are attributed to non‐communicable diseases. 4 It is expected that this ratio will increase to 70% by 2030. 5 Furthermore, the heightened prevalence of risk factors associated with non‐communicable diseases, including physical inactivity, obesity, tobacco use, and the consumption of foods rich in salt, sugar, and fat, has raised significant concerns in these regions. 4 In Iran, the rise of non‐communicable diseases has evolved into a substantial challenge. In 2019, these diseases led to the loss of 508 326 lives, marking an 88% increase from the figures observed in 1990. The number of premature deaths attributed to the four primary non‐communicable diseases amounted to 66 818 in 1990, but by 2019, this number had surged significantly to 893 100 cases. 6 Breast, colorectal and stomach cancers were the most prevelant cancers in Iran in 2016 and it is anticipated that they will remain the leading types of cancers in the country through 2025. 7

Gastrointestinal cancers (GCs) reduce health‐related quality of life due to their aggressive nature and treatment complexity. 8 Moreover, aligning with the objectives set forth in Sustainable Development Goal (SDG) 3.4, Iran is striving to reduce the percentage of premature deaths to 11.6% by 2025. However, this target appears challenging to attain given the current circumstances characterized by unhealthy lifestyles, a high disease burden, and inadequate investments in preventive measures, among other factors. 6

Golestan province in northern Iran is known as a high‐risk area for GCs. 9 Controlling the high incidence of upper gastrointestinal cancers (UGCs) in the northern regions of Iran requires the implementation of corrective interventions. These interventions should cover the areas of prevention, early detection, treatment, and palliative care. 10 The design and implementation of these interventions requires the existence of effective evidence regarding the incidence, prevalence and burden of these cancers. Few studies have been conducted in Iran regarding the long‐term status of UGCs. This study was conducted with the aim of investigating the burden UGCs in Golestan province.

2. METHODS

This study was conducted using the data of the Golestan cohort. The Golestan cohort study was conducted in 1997 by the Digestive Diseases Research Institute (DDRI) of Tehran University of Medical Sciences. After that, in 2007, the main study of the Golestan cohort was conducted. The primary objective of this cohort was to identify the factors contributing to the high incidence of esophageal cancer among individuals aged 40–75 years in regions with a high prevalence of gastrointestinal tract cancers, specifically Gonbad and Kalaleh cities in Golestan province. The cohort comprised randomly selected individuals from both urban and rural areas within these two cities, with 10 032 residents from urban areas and 40 013 residents from rural areas registered for the study. 11 , 12

The data collected in Golestan cohort includes, demographic characteristic, lifestyle information, as well as biological samples such as blood, urine, hair, and nail specimens. Dietary habits were assessed using a specially tailored food frequency questionnaire (FFQ) that accounted for the region's distinct dietary patterns. Cohort participants receive monthly follow‐ups via phone calls. The study benefits from several factors that enhance its reliability, including the storage of biological samples in both Tehran and France, international collaborations with organizations such as the International Agency for Research on Cancer (IARC), the National Cancer Institute (NCI), and Cambridge University, the establishment of a specialized clinic (Atrak Clinic), adherence to international standards for biological sample preservation, a broad population coverage, and a lengthy follow‐up period for study participants. 11

Every participant in the Golestan cohort was issued an ID card upon registration. This ID card served as a means for them to seek medical attention at Atrak Clinic in case they experienced digestive symptoms. Atrak Clinic, situated within the primary hospital in Gonbad city, is a specialized gastroenterology clinic established by the Digestive Diseases Research Institute (DDRI). At this clinic, individuals undergo health assessments, and their medical records are kept in the registration system. Furthermore, they receive diagnostic and treatment services at no cost. For all cohort participants who visited Atrak Clinic, personalized files were established, encompassing comprehensive information pertinent to their health and medical history. Monthly, the databases at Atrak Clinic and the Cancer Registration Center in Golestan province were cross‐referenced to identify any instances of cancer among the individuals participating in the cohort. 11

In this current study, we utilized the data contained within the patient files for individuals diagnosed with upper gastrointestinal cancers, which includes esophageal and stomach cancers, spanning the years 2001–2020. A total of 2711 patient cases with UGCs were documented and registered at Atrak Clinic. The selection of all these patients was based on a complete census. Following the exclusion of individuals with incomplete records, we utilized the patient records of 2481 cases. The extraction of patient information from their files was carried out using an Excel‐based data extraction form.

2.1. DALY

DALYs provide a comprehensive measure of the total time lost due to a specific health condition, encompassing both premature death and disability. Originally developed for the World Health Organization's Global Burden of Disease (GBD) study in 1990, DALYs have since evolved into widely accepted standard metric for quantifying the burden of various diseases. 13

We calculated the DALY for cancer using procedures derived from those described in the GBD study, which summed the YLL and YLD components. The basic formula is expressed as follows 14 :

DALY=YLL+YLD.

To calculate the YLL, YLD and DALY, the standard life table of the WHO was used for different age and sex groups. Based on this table, the life expectancy for men was considered equal to 80 years, and for women, 82.5 years. The following formula calculates the YLL. 15

YLL=NL.

In this formula, N is equal to the number of deaths due to UGCs in a certain age and sex group, and L is equal to the standard life expectancy of deceased people of the same age and sex. 16

The mean age was used to calculate YLD. The disability weight was estimated using the items described in the GBD and was considered 0.544. 13 The duration of the disease was considered from the time of diagnosis to the time of conducting the study. The following formula was used to calculate YLD. 15

YLD=Incidence×Duration×DWDisability weight.

And T‐test and analysis of variance were used to compare mean YLL, YLD, and DALY in different age and sex groups.

Patients' data were exported SPSS version 25 software from Excel software. Mean, standard deviation, frequency, and percentage were used to describe quantitative data.

3. RESULTS

The majority of patients with UGC were married, had limited formal education, were male, resided in rural areas, and lacked a family history of the disease. Additionally, a significant proportion of the identified patients belonged to the Turkmen ethnic group, and over half of them had a history of drug addiction (Table 1).

TABLE 1.

Patients demographic with UGCs between 2001 and 2020 in Golestan cohort.

Variable Frequency % Variable Frequency %
Marital status Married 2029 81.8 Educational level No schooling 2050 82.6
Widow 420 16.9 Less than a diploma 370 14.9
Single 27 1.9 Diploma 37 1.5
Divorced 5 2 University/college 24 1
City of residence Gonbad Kavous 1105 44.5 Ethnicity Turkmen 1358 54.7
Kalale 573 23.1 Persian 529 21.3
Minoodasht 450 18.1 Persian 270 10.9
Azadshahr 203 8.2 Sistani 207 8.3
Ramian 150 6.1 Baloch 73 2.9
Sex Male 1517 61.1 Other 44 1.8
Female 964 38.9 Place of residence Rural 2128 85.8
Age <35 years old 25 1 Urban 353 14.2
35–44 years old 84 3.4 Family history Yes 569 22.9
45–54 years old 330 13.3 No 1912 77.1
55–64 years old 668 26.9 Job Farmer 991 39.9
65–74 years old 809 32.6 Housekeeper 931 37.5
75–84 years old 508 20.5 Self‐Employment 358 14.4
>85 years old 57 2.3 Retired 172 6.9
History of addiction Opium 891 35.9 Employee 29 1.2
Cigarettes 479 19.3 Type of cancer Squamous cell carcinoma (SCC) 1341 54.1
Naswar 291 11.7 Adenocarcinoma (ADC) 1033 41.6
Hookah 122 4.9 SCC and ADC 13 0.5
Alcohol 49 19.7 Carcinoma 94 3.8

The number of patients with UGCs was 118 in 2001, which reached 57 in 2019. The highest number of patients identified was in 2002 (Figure 1).

FIGURE 1.

FIGURE 1

The number of patients with UGCs in the studied population from 2001 to 2020 in Golestan cohort.

The disease onset age, was considered equivalent to the age when gastrointestinal symptoms, particularly dysphagia, first appeared. The average disease onset age for men was 65.76 ± 11.34, while for women, it was 64.38 ± 11.66. (Figure 2).

FIGURE 2.

FIGURE 2

Age distribution of UGCs in the studied population between 2001 and 2020 in Golestan cohort.

Total number of DALY due to UGCs in the study population was 40 172 (265.2 per 100 000) years (Table 2).

TABLE 2.

The total number of YLL, YLD and DALYs caused by UGCs in the studied population “between 2001 and 2020 in Golestan cohort”.

Year YLL YLD DALYs DALYs (per 100 000)
Male Female Male Female Male Female Male Female
2002 1358 1220 101 54 1459 1274 427.4 360.9
2003 2000 1751 44 81 2044 1832 587.6 510.7
2004 1580 1188 122 83 1702 1271 480.3 348.7
2005 1846 1515 208 209 2054 1724 569.2 465.6
2006 1023 806 350 194 1373 1000 373.8 265.9
2007 1282 1111 180 140 1462 1251 391.1 327.6
2008 856 650 205 101 1061 751 279.0 193.7
2009 950 554 144 65 1094 619 282.8 157.3
2010 969 590 136 69 1105 659 280.9 165.1
2011 809 503 51 33 860 536 215.1 132.4
2012 1055 703 52 39 1107 742 273.3 181.6
2013 631 360 50 55 681 415 166.0 100.7
2014 1089 571 50 37 1139 608 274.2 146.2
2015 519 647 53 38 572 685 136.0 163.3
2016 1065 698 61 48 1126 746 264.5 176.3
2017 1143 786 59 34 1202 820 279.1 191.6
2018 1365 954 50 53 1415 1007 324.8 232.6
2019 890 463 30 27 920 490 208.8 111.9
2020 810 539 12 8 822 547 184.4 123.5
Total 21 240 15 609 1956 1367 23 196 16 976 307.8 223.1
p value .021 .189 .019 .046

The highest and lowest number of YLL were in the age groups of 60–64 years and 40–44 years, respectively (Figure 3).

FIGURE 3.

FIGURE 3

Number of YLL stratified by age groups and sex caused by UGCs in the studied population between 2001 and 2020 in Golestan cohort.

The highest number of YLD in men and women were in the age groups above 75 and 70–74, respectively (Figure 4).

FIGURE 4.

FIGURE 4

Number of YLD stratified by age groups and sex caused by UGCs in the studied population between 2001 and 2020 in Golestan cohort.

The highest and lowest DALY in both sexes were in the age groups of 60–64 years and 40–44 years, respectively (Figure 5).

FIGURE 5.

FIGURE 5

Number of DALY stratified by age groups and sex caused by UGCs in the studied population between 2001 and 2020 in Golestan cohort.

A statistically significant difference exists in the means of the YLL and DALY indexes between males and females, although no significant difference was observed for the YLD index (Table 2). Furthermore, a statistically significant difference in the means of YLL (p‐value = .038), YLD (p‐value = .033), and DALY (p‐value = .030) indexes was noted across different age groups.

4. DISCUSSION

This study aimed to assess the burden of UGCs in the eastern region of Golestan province, Iran. Among the 2481 patients with UGCs, most were male, married, had limited formal education, resided in rural areas, lacked a family history of the disease, had a history of addiction, and were in the age range of 65–74 years.

The study revealed a total of 40 172 (265.2 per 100 000) DALYs within the study population. Out of these, 23 196 (307.8 per 100 000) DALYs were attributed to men, and 16 976 (223.1 per 100 000) DALYs were related to women. Additionally, the study found 36 849 YLL and 3323 YLD. The male‐to‐female sex ratio for DALYs was 1.36, indicating a higher burden of disease among men.

In 2017, there were 19.1 million deaths globally attributed to gastric cancer, and this number increased to 22.2 million by 2019. Furthermore, the age‐standardized DALY rate, per 100 000 population, was 235.9 in 2017. In 2020, the worldwide incidence of gastric cancer was 11.3 cases per 100 000 people, and for esophageal cancer, it was 6.3 cases per 100 000 people, resulting in 1 089 103 new cases of gastric cancer and 604 127 new cases of esophageal cancer. 17 , 18 In recent years, the incidence of UGCs has decreased significantly. For example, in a study between 1997 and 2017, the incidence of gastric cancer decreased by more than 47%. 18 This downward trend is observed in many countries worldwide. 19

In Iran, previous studies have reported a range of incidence rates for gastric cancer, spanning from as low as 0.1 to as high as 26 cases per 100 000 people. For esophageal cancer, the incidence rates have been documented to vary between 4.6 and over 50 cases per 100 000 people. 20 , 21 , 22 , 23 , 24 The northern regions of Iran, particularly Golestan province, have consistently exhibited a high prevalence of UGCs. Within this province, the disease has demonstrated higher prevalence rates, particularly among the ethnic Turkmen population residing in areas like Gonbad Kavous and Kalaleh. 23 In Ghasemi‐Kebria et al.'s study, the age‐standardized incidence rates (ASRs) of gastric cancer in this province in 2016 in men and women were 26.9 and 12.2 per 100 000 people, respectively. 22 This rate for esophageal cancer in this province between 2004 and 2008 was equal to 24.3 in males and 1.19 in females. 24

In the present study, the DALY attributed to UGCs in the studied population of Golestan province was 40 172. According to Wang et al.'s study, the standardized rate of gastric cancer in China in 2016 was 464.47 per 100 000 people. 25 In Song et al.'s study, this rate was 268.4 for the whole world in 2019. Also, in this study, the number of deaths attributed to gastric cancer worldwide was estimated at 22.2 million. 26 Iran and China have a high burden of DALY attributed to UGCs. Wong et al.'s research has highlighted the prevalence of UGCs in the Asian belt, which includes northern Iran, Turkey, Central Asia, and northern and central China, as consistently having one of the highest incidence rates globally. 27

The findings from the Golestan cohort study have indicated that several risk factors contribute to UGCs. These include an inadequate diet, low socioeconomic status, thermal damage from consuming hot tea, and exposure to carcinogens associated with opium use. 11 In their study, Gupta et al. showed that most cancer‐related DALYs occur among individuals with lower economic and social status. 28 Fitzmaurice et al. highlighted the inadequacies within the healthcare systems of developing countries in delivering care for non‐communicable diseases as a contributing factor to the elevated burden of cancer in these nations. 29

Li et al. argued that UGCs disproportionately affect economically disadvantaged and socially marginalized individuals, primarily because of reduced access to healthcare and education, along with poor living conditions. 30 Kumar et al. conducted an analysis of global trends in UGCs and found that a significant proportion, specifically three‐quarters, of these cancers occurred in developing countries in the year 2020. 17 Several studies showed the most important risk factors for UGCs in Iran, include drug abuse, alcohol consumption, exposure to environmental pollutants and chemicals, Helicobacter pylori infection, economic and social status, family history of the disease, dietary habits, and age. 11 , 24 , 31

In the present study, more than 82% of patients were illiterate. Zarea and colleagues believed that illiterate people are unaware of the importance of annual screening and check‐ups. onsequently, they tend to undergo fewer screening tests and are often diagnosed at advanced stages of the disease. 32 In their study, Goding Sauer et al. investigated cancer risk factors in the United States and found that individuals with lower levels of education have a higher prevalence of modifiable risk factors for cancer compared to those with higher education levels. Furthermore, their research demonstrated that individuals with lower educational attainment are less likely to undergo cancer risk screening. For instance, nearly half of women without a college degree were obese, while only one‐third of college graduates were obese. This highlights disparities in risk factors and screening behavior related to education level. 33

Other research results showed that more than 61% of patients are men. This result was similar to previous studies of UGCs in Iran, where the gender ratio of cancer shown a higher incidence among men compared to women. 34 , 35 For example, in the study of Farmanfarma et al. in 2020, the incidence of gastric cancer in men is 74.9 per 100 000 people, while in women, this rate is equal to 4.6 per 100 000 people. 31 Arnold et al also showed in their study in 2020 that globally, gastrointestinal cancers are twice as common in men as in women. 36 Men tend to have greater exposure to environmental pollutants, a higher prevalence of behavioral risk factors, and may receive less preventive care, all of which could contribute to this trend. However, Shadmani et al. showed that while the overall mortality rate in men has been declining in recent years and will remain stable until 2030, it will increase among women in this time frames. 37 Therefore, it is necessary to implement interventions focusing on training and raising public awareness among women, emphasizing the importance of annual screening and adopting strategies to improve access to screening tests and healthcare facilities.

In this study, more than 82% of the examined patients were over 55 years old. Also, more than 55% of patients were 65 years old and older. These findings align with the results from Zarea et al.'s study, which demonstrated that the prevalence of gastrointestinal cancer is highest among individuals aged 65 years and older. 32 Lin et al.'s study in 2022 showed that the risk of UGCs gradually increases with age. 19 A study in China showed that people between 65 and 69 years of age are at relatively high risk for UGCs. 30 In another study in Rwanda, the average age of esophageal and stomach cancer patients was 54.9 and 56.9 years among men and women, respectively. 38 These results underscore the importance of prioritizing and promoting annual screenings, especially for individuals aged 50 and above.

Putting greater emphasis on screening, especially for individuals with risk factors, is essential. Financial support measures, such as insurance coverage and subsidies, should be considered, particularly for those in lower socioeconomic brackets. Furthermore, the role of primary healthcare providers in educating and empowering middle‐aged and elderly individuals about the importance of screening cannot be understated.

A substantial portion of the global cancer burden is linked to modifiable risk factors. Based on this, it is necessary to carry out corrective interventions to reduce the population's exposure to modifiable risk factors. Furthermore, there exist non‐modifiable risk factors, including age, genetic predisposition, and family history, which significantly influence the onset of this disease. In such instances, it is essential to prioritize interventions geared toward early detection and effective treatment. In addition, due to the increase in the survival of patients with UGCs in recent years and the high complications of surgical procedures, it is necessary to focus more on multimodal interventions to minimize the adverse effects of cancer treatments and increase the quality of life of survivors.

This study has notable strengths, including its extensive study duration and the use of highly reliable information. However, there are several limitations that should be acknowledged. Firstly, the study lacks information concerning the stage of UGC, the distribution of treatment modalities, and survival outcomes. Moreover, a key limitation is that the study only included the population of two specific cities, which may impact the generalizability of its findings. Caution should be exercised when extending the results to broader populations.

5. CONCLUSION

This study has revealed that between 2001 and 2020. Approximately 45% of the patients under examination were in the age group of economic activity, which is typically below 65 years old. This demographic could potentially impose substantial economic costs on the country, both through healthcare expenditures and household expenses related to treatment. Furthermore, over 85% of the patients resided in rural areas, where unhealthy dietary habits and lifestyles, such as the consumption of hot tea, drug use, and certain detrimental dietary practices like smoked fish consumption, appear to be more prevalent. Consequently, there is a clear need to place greater emphasis on interventions aimed at empowering the population and prioritizing primary prevention measures.

AUTHOR CONTRIBUTIONS

Mohammad‐Ali Jahani: Project administration (equal); Writing – review & editing (equal). Raziyeh Esmaeili: Conceptualization (lead); Resources (equal); Data curation (equal). Mahdi Abbasi: Writing – review & editing (lead). Hossein‐Ali Nikbakht: Data curation (equal); Formal analysis (equal); Methodology (equal). Habibollah Azarbakhsh: Methodology (equal); Formal analysis (equal). Gholamreza Roshandel: Data curation (equal); Resources (equal). Sahar Delavari: Writing – review & editing (equal). Layla Shojaie: Writing – review & editing (equal). Ghahraman Mahmoudi: Project administration (equal); Resources (equal); Methodology (equal).

CONFLICT OF INTEREST STATEMENT

The authors have stated explicitly that there are no conflicts of interest in connection with this article.

ETHICS STATEMENT

In this study, to maintain the confidentiality of the information, the code and record number were used instead of the names of the patients. Also, necessary agreements were obtained to receive patient information.

ACKNOWLEDGMENTS

The cooperation and assistance of Golestan Gastroenterology and Liver Research Center (Golestan Cohort), as well as the esteemed managers of Golestan University of Medical Sciences and all esteemed colleagues who helped the researcher in conducting this research, are appreciated and thanked.

Jahani M‐A, Esmaeili R, Abbasi M, et al. Burden of upper gastrointestinal cancers in the east of Golestan province (Golestan cohort study). Cancer Reports. 2024;7(3):e2001. doi: 10.1002/cnr2.2001

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

REFERENCES

  • 1. Piñeros M, Znaor A, Mery L, Bray F. A global cancer surveillance framework within noncommunicable disease surveillance: making the case for population‐based cancer registries. Epidemiol Rev. 2017;39(1):161‐169. [DOI] [PubMed] [Google Scholar]
  • 2. Gowshall M, Taylor‐Robinson SD. The increasing prevalence of non‐communicable diseases in low‐middle income countries: the view from Malawi. Int J Gen Med. 2018;11:255‐264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Global burden of disease 2019 cancer collaboration . Cancer incidence, mortality, years of life lost, years lived with disability, and disability‐adjusted life years for 29 cancer groups from 2010 to 2019: a systematic analysis for the global burden of disease study 2019. AMA Oncol. 2021;8(3):420‐444. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Fikri M, Hammerich A. Scaling up action on the prevention and control of noncommunicable diseases in the WHO eastern Mediterranean region. East Mediterr Health J. 2018;24(1):3‐4. [PubMed] [Google Scholar]
  • 5. Slim S, Asmus H, Ahmed M, et al. The integration and management of noncommunicable diseases in primary health care. East Mediterr Health J. 2018;24(1):5‐6. [PubMed] [Google Scholar]
  • 6. Farzadfar F, Naghavi M, Sepanlou SG, et al. Health system performance in Iran: a systematic analysis for the global burden of disease study 2019. Lancet. 2022;399(10335):1625‐1645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Roshandel G, Ferlay J, Ghanbari‐Motlagh A, et al. Cancer in Iran 2008 to 2025: recent incidence trends and short‐term predictions of the future burden. Int J Cancer. 2021;149(3):594‐605. [DOI] [PubMed] [Google Scholar]
  • 8. Maharaj AD, Holland JF, Scarborough RO, et al. The upper gastrointestinal cancer registry (UGICR): a clinical quality registry to monitor and improve care in upper gastrointestinal cancers. BMJ Open. 2019;9(9):e031434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Bloom DE, Chisholm D, Jané‐Llopis E, Prettner K, Stein A, Feigl A. From Burden to “Best Buys”: Reducing the Economic Impact of Non‐communicable Diseases. Switzerland; 2011. [Google Scholar]
  • 10. Asgarian FS, Mahdian M, Amori N. Epidemiology and trends of gastrointestinal cancer in Iran (2004–2008). J Cancer Res Ther. 2021;17(4):963‐968. [DOI] [PubMed] [Google Scholar]
  • 11. Pourshams A, Khademi H, Malekshah AF, et al. Cohort profile: the Golestan cohort study: a prospective study of oesophageal cancer in northern Iran. Int J Epidemiol. 2010;39(1):52‐59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Kheradmand M, Enayati A, Rafiei A, Moosazadeh M. Population based cohort studies in Iran: a review article. J Mazandaran Univ Med Sci. 2015;25(125):171‐185. [Google Scholar]
  • 13. Di Pardo BJ, Bronson NW, Diggs BS, Thomas CR, Hunter JG, Dolan JP. The global burden of esophageal cancer: a disability‐adjusted life‐year approach. World J Surg. 2016;40:395‐401. [DOI] [PubMed] [Google Scholar]
  • 14. Pham T‐M, Kubo T, Fujino Y, Ozasa K, Matsuda S, Yoshimura T. Disability‐adjusted life years (DALY) for cancer in Japan in 2000. J Epidemiol. 2011;21(4):309‐312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Wagner RG, Ibinda F, Tollman S, Lindholm L, Newton CR, Bertram MY. Differing Methods and definitions influence DALY estimates: using population‐based data to calculate the burden of convulsive epilepsy in rural South Africa. PLoS One. 2015;10(12):e0145300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Mirahmadizadeh A, Moftakhar L, Dehghani SS, Hassanzadeh J, Dehghani SP, Azarbakhsh H. Mortality rate and years of life lost due to burns in southern Iran during 2004–2019: a population‐based study. Arch Iran Med. 2023;26(4):205‐211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Kumar S, Crane TE, Goldberg DS. Trends in the incidence of upper gastrointestinal cancers show changing dynamics. Clin Gastroenterol Hepatol. 2023;21(5):1365‐1367. [DOI] [PubMed] [Google Scholar]
  • 18. Etemadi A, Safiri S, Sepanlou SG, et al. The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet Gastroenterol Hepatol. 2020;5(1):42‐54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Lin Y, Guo Z, Huang S, et al. Time trend of upper gastrointestinal cancer incidence in China from 1990 to 2019 and analysis using an age–period–cohort model. Curr Oncol. 2022;29(10):7470‐7481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Ghamari ZT. Prevalence of stomach cancer in Isfahan Province. Iran Gulf J Oncol. 2018;1(28):42‐45. [PubMed] [Google Scholar]
  • 21. Moradian F, Fararouei M, Karami M, et al. Trend of geographical distribution of stomach cancer in Iran from 2004 to 2014. BMC Gastroenterol. 2022;22(1):4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Ghasemi‐Kebria F, Amiriani T, Fazel A, et al. Trends in the incidence of stomach cancer in Golestan Province, a high‐risk area in northern Iran, 2004–2016. Arch Iran Med. 2020;23(6):362‐368. [DOI] [PubMed] [Google Scholar]
  • 23. Kiadaliri AA. Gender and social disparities in esophagus cancer incidence in Iran, 2003–2009: a time trend province‐level study. Asian Pac J Cancer Prev. 2014;15(2):623‐627. [DOI] [PubMed] [Google Scholar]
  • 24. Khodadost M, Yavari P, Khodadost B, et al. Estimating the esophagus cancer incidence rate in Ardabil, Iran: a capture‐recapture method. Iran J Cancer Prev. 2016;9(1):e3972. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Wang BH, Wang N, Feng YJ, et al. Disease burden of stomach cancer in the Chinese population, in 1990 and 2013. Zhonghua Liuxingbingxue Zazhi. 2016;37(6):763‐767. [DOI] [PubMed] [Google Scholar]
  • 26. Song Y, Liu X, Cheng W, Li H, Zhang D. The global, regional and national burden of stomach cancer and its attributable risk factors from 1990 to 2019. Sci Rep. 2022;12(1):11542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Wong M, Hamilton W, Whiteman DC, et al. Global incidence and mortality of oesophageal cancer and their correlation with socioeconomic indicators temporal patterns and trends in 41 countries. Sci Rep. 2018;8(1):1‐13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Gupta S, Harper A, Ruan Y, et al. International trends in the incidence of cancer among adolescents and young adults. JNCI J Natl Cancer Inst. 2020;112(11):1105‐1117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Fitzmaurice C, Dicker D, Pain A, et al. The global burden of cancer 2013. JAMA Oncol. 2015;1(4):505‐527. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Li D‐J, Liang D, Song G‐H, et al. Upper gastrointestinal cancer burden in Hebei Province, China: a population‐based study. World J Gastroenterol. 2017;23(14):2625‐2634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Farmanfarma KK, Mahdavifar N, Hassanipour S, Salehiniya H. Epidemiologic study of gastric cancer in Iran: a systematic review. Clin Exp Gastroenterol. 2020;13:511‐542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Zarea K, Beiranvand S, Ghanbari S, Tuvesson H. Incidence of gastrointestinal cancers in Iran: a systematic review. Jundishapur J Chronic Dis Care. 2017;6(1):e37224. [Google Scholar]
  • 33. Goding Sauer A, Siegel RL, Jemal A, Fedewa SA. Current prevalence of major cancer risk factors and screening test use in the United States: disparities by education and race/ethnicity. Cancer Epidemiol Biomarkers Prev. 2019;28(4):629‐642. [DOI] [PubMed] [Google Scholar]
  • 34. Mehdizadeh H, Jahani M, Mahmoudi G. Frequency of referrals of cancer patients referred to hospitals affiliated to the babol university of medical sciences according to the international classification of diseases. J Babol Univ Med Sci. 2017;19(12):55‐62. [Google Scholar]
  • 35. Mehdizadeh H, Mahmoudi G, Moslemi D, Bijani A, Jahani MA. A 25‐year trend in gastrointestinal cancers in northern Iran (1991–2016). Caspian J Intern Med. 2019;10(4):396‐401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Abdul‐Sater Z, Shamseddine A, Taher A, et al. Cancer registration in the Middle East, North Africa, and Turkey: scope and challenges. JCO Glob Oncol. 2021;7:1101‐1109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Shadmani FK, Farzadfar F, Yoosefi M, Mansori K, Shadman RK, Haghdoost A. Premature mortality of gastrointestinal cancer in Iran: trends and projections 2001–2030. BMC Cancer. 2020;20(1):752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Shikama F, Bensen SP, Giraneza R, et al. Upper gastrointestinal cancers in Rwanda: epidemiological, clinical and histopathological features in patients presenting to a tertiary referral hospital. Open J Gastroenterol. 2022;12(10):286‐298. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.


Articles from Cancer Reports are provided here courtesy of Wiley

RESOURCES