Global incidence, mortality, and burden of esophageal cancer, and its correlation with SDI, metabolic risks, fasting plasma glucose, LDL cholesterol, and body mass index: An ecological study

Mazidimoradi, Afrooz; Ghavidel, Fatemeh Zamanzad; Momenimovahed, Zohre; Allahqoli, Leila; Salehiniya, Hamid

doi:10.1002/hsr2.1342

Cited by 5 publications

(6 citation statements)

References 66 publications

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“…In GBD, metabolic risks included high fasting plasma glucose (FPG), high low‐density lipoprotein (LDL) cholesterol, high systolic blood pressure (SBP), high BMI, low bone mineral density (BMD), and kidney dysfunction. In previous meta‐analysis studies, the minimum level of death or DALY‐weighted multicause risk factor curves is defined to be the theoretical level of exposure to the minimum risk of one specific risk factor 13,14 …”

Section: Methodsmentioning

confidence: 99%

“…In previous meta‐analysis studies, the minimum level of death or DALY‐weighted multicause risk factor curves is defined to be the theoretical level of exposure to the minimum risk of one specific risk factor. 13 , 14 …”

Section: Methodsmentioning

confidence: 99%

“…In previous meta-analysis studies, the minimum level of death or DALY-weighted multicause risk factor curves is defined to be the theoretical level of exposure to the minimum risk of one specific risk factor. 13,14 High FPG levels are defined as any level above 4.8-5.4 mmol/ L, 15 high LDL cholesterol levels are defined as LDL-cholesterol levels above 0.7-1.3 mmol/L, 16 and high SBP levels are defined as SBP levels above 110-115 mmHg. 17 In the staging criteria for acute kidney injury classification (CKD stages 1-5), the definition of kidney dysfunction was based on urinary albumin to creatinine ratio and estimated glomerular filtration rate.…”

Section: Definitionsmentioning

confidence: 99%

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The global incidence, mortality, and burden of uterine cancer in 2019 and correlation with SDI, tobacco, dietary risks, and metabolic risk factors: An ecological study

Mazidimoradi,

Momenimovahed,

Khalajinia

et al. 2024

Health Science Reports

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Background and AimEndometrial cancer (EC) is the sixth most common cancer among women worldwide. Since global studies are based on awareness of the incidence trend, mortality, geographical diversity, and level of social development and income of countries, this study was conducted to investigate the trend of uterine cancer (UC) in the world in 2019.MethodsAge‐standardized rates (ASR) of incidence, deaths, prevalence, and disability‐adjusted life years (DALYs) of UC, as well as targeted risk factors, were extracted from the Global Burden of Disease (GBD) online database 2019. Pearson correlation coefficient and SPSS 16 were used to calculate the correlation between risk factors and ASR of epidemiological indicators. Statistical significance was considered as p < 0.05.ResultsIn 2019, the age‐specific incidence and death rate of UC was peaking at 60–64 and 65–69 years, respectively. The highest age‐standardized incidence rate per 100,000 people for UC has been reported in the Northern Mariana Islands, high sociodemographic index (SDI) countries, World Bank High‐Income category, Europe continent and among World Health Organization (WHO) regions were found in the European Region. The highest age‐standardized death rate per 100,000 people for UC has been reported in Grenada, high SDI countries, the World Bank High‐Income category, Europe continent, and among WHO regions found in the European Region. In 2019, the age‐standardized DALYs rate was 53.54 per 100,000 inhabitants, of which 48.49 cases were related to years of life lost (YLLs) and 5.05 cases were related to years lived with disability.ConclusionAccording to GBD‐2019, the highest incidence, mortality, and DALY of UC are in Europe. The evidence and traces of diversity can be seen in the inequalities of UC. Race, ethnicity, economic status, level of education and awareness, co‐morbidities, access, grade, and histological type of tumor are the most important causes of this inequality.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Definitionsmentioning

confidence: 99%

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The global incidence, mortality, and burden of uterine cancer in 2019 and correlation with SDI, tobacco, dietary risks, and metabolic risk factors: An ecological study

Mazidimoradi,

Momenimovahed,

Khalajinia

et al. 2024

Health Science Reports

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“…It is a weighted average of the age‐specific rates per 100,000 persons within the corresponding age groups of the WHO standard population. 17 …”

Section: Methodsmentioning

confidence: 99%

Temporal trends of thyroid cancer between 2010 and 2019 in Asian countries by geographical region and SDI, comparison with global data

Rezaei,

Mazidimoradi,

Pasokh

et al. 2023

Aging Medicine

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ObjectiveThis study aims to describe temporal trends of thyroid cancer (ThC) from 2010 to 2019, in Asian countries by geographical region and sociodemographic index, compared with global data.MethodAnnual case data and age‐standardized rates (ASRs) of epidemiological indicators of ThC cancer data were collected from the 2019 Global Burden of Disease (GBD) study from 2010 to 2019 in 49 countries and territories in Asia. The relative difference (%) between years was used to show comparative variations of ASRs for the indicators studied. The female/male ratio was calculated by dividing female ASRs by male ASRs. Also, these rates were compared between the age group ≥70 years old and younger age groups.ResultsIn 2019, more than 50% of ThC cases and deaths occurred in Asian countries. A total of 53% of ThC patients lived in Asia and more than 60% of the global burden of ThC was imposed on Asian countries. From 2010 to 2019, incidences, deaths, prevalence cases, and DALYs number of ThC cancer increased over 1.28‐, 1.26‐, 1.3‐, and 1.2‐fold, in Asia, respectively. During this period, the age‐standardized incidence rate (ASIR) and the age‐standardized prevalence rate (ASPR) of ThC cancer increased by 5% and 8%, respectively, while the age‐standardized death rate (ASDR) and the age‐standardized DALYs rate (DALYs ASR) of ThC cancer decreased by 6% and 4%, respectively. These trends are different from what happens in other continents. In 2019, age‐specific incidence, death, prevalence, and DALY cases of ThC cancer were peaking at 50–54, 75–79, 50–54, and 55–59 years, respectively. In 2019, the highest ASIR and ASPR of ThC cancer was observed in high‐income Asia Pacific countries and the highest ASDR and DALYs ASR in Southeast Asia countries. Only high‐income Asia Pacific countries experienced a decreasing trend in ASIR and ASPR from 2010 to 2019. ASDR and DALYs ASR have the highest decreasing trend in high‐income Asia Pacific. In 2019, among high SDI Asian countries, the Republic of Korea had the highest ASIR and ASPR, and Brunei Darussalam had the highest ASDR and DALYs ASR. The highest ASIR, ASDR, ASPR, and DALY ASR of ThC cancer was found in Lebanon and Malaysia (high‐middle SDIs), Vietnam (middle SDIs), and Cambodia and Palestine (low‐middle SDIs). Among low SDI Asian countries, Pakistan had the highest ASIR, ASDR, ASPR, and DALY ASR of ThC cancer. All indicators for most countries were higher in women than men.ConclusionMore than half of the burden of thyroid cancer is imposed on the residents of the Asian continent. Although the incidence and prevalence of this cancer in Asian countries is lower than that of the world, America, and Europe, the highest rate of death from thyroid cancer occurs in Asia and they witness the highest burden of the disease. Therefore, it seems that implementing early detection strategies and increasing access to treatment facilities in Asia is one of the necessities of thyroid cancer control in its residents.

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“…Tab. rs12894272, rs12288512, rs11990279, rs114244418, rs11109097), body weight [32](rs9349693, rs60081663, rs3734633, rs2074881, rs12151423), body fat percentage [33](rs9900242, rs72814525, rs2930225, rs2590913, rs2387977, rs113054641), hip circumference [34](rs9428102, rs3761728, rs2715439, rs17708276), waist circumference [30](rs59068084, rs8066522), waist-to-hip ratio [30] (rs6875660), total body fat [30](rs7832116), trunk fat [30](rs8039785, rs68093214, rs4936098, rs3800154, rs1689282, rs12925026), smoking [35,36](rs61771805, rs4506202), alcohol consumption[36](rs646327, rs35866622, rs2548459), diabetes [37,38](rs9276029, rs6494306, rs12636310), hypertension [39] (rs6489992, rs1901739, rs1304512, rs112767262, rs10167839), plasma lipid levels [40](rs4738679, rs281379, rs16940167, rs10842464) and other confounding factors. This left 1428 relevant SNPs and 119 species of bacteria.…”

Section: Barrett's Esophagusmentioning

confidence: 99%

Investigating the Causal Association between Intestinal Microbiota and Esophageal Diseases Using Two-Sample Mendelian Randomization

kaihao,

Lizhao,

Cong

et al. 2024

Preprint

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Objective: Using the Mendelian randomization approach with two-sample analysis, this study explores the causal relationship between gut microbiota and esophageal diseases, providing valuable biomarkers for early disease diagnosis and potential therapeutic targets for esophageal diseases. Methods: Genomewide association data were analyzed with gut microbiota at the genus level as the exposure variable and esophageal diseases (Barrett's esophagus, gastroesophageal reflux disease, esophageal cancer, esophagitis) as the outcome variables. Mendelian randomization analysis was conducted using inverse variance weighted, weighted median, MR-Egger, simple mode, and weighted mode methods. Outlier tests, heterogeneity tests, sensitivity analyses, Pleiotropic analyses, and the removal of single nucleotide polymorphisms with confounding factors were performed. Results: Three genera (Eubacterium eligens group, Actinomyces, Clostridium sensu stricto 1) were protective against Barrett's esophagus, while six genera (Oxalobacter, Allisonella, Ruminococcaceae UCG009, Haemophilus, Sutterella, Anaerostipes) were risk factors for Barrett's esophagus. Two genera (Lachnospiraceae UCG004, Methanobrevibacter) were protective against gastroesophageal reflux disease, and two genera (Prevotella 9, Anaerostipes) were risk factors for gastroesophageal reflux disease. Three genera (Coprococcus 1, Bilophila, Candidatus Soleaferrea) were protective against esophageal cancer, while six genera (Coprobacter, Catenibacterium, Eubacterium coprostanoligenes group, Marvinbryantia, Sutterella, Ruminococcaceae UCG010) were risk factors for esophageal cancer. Two genera (Parasutterella, Howardella) were protective against esophagitis. Conclusion: Our study utilizes genetic prediction to identify specific GMs and establishes the causal relationship between them, potentially providing valuable biomarkers for early disease diagnosis and potential therapeutic targets for the four esophageal diseases mentioned above.

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Global incidence, mortality, and burden of esophageal cancer, and its correlation with SDI, metabolic risks, fasting plasma glucose, LDL cholesterol, and body mass index: An ecological study

Cited by 5 publications

References 66 publications

The global incidence, mortality, and burden of uterine cancer in 2019 and correlation with SDI, tobacco, dietary risks, and metabolic risk factors: An ecological study

The global incidence, mortality, and burden of uterine cancer in 2019 and correlation with SDI, tobacco, dietary risks, and metabolic risk factors: An ecological study

Temporal trends of thyroid cancer between 2010 and 2019 in Asian countries by geographical region and SDI, comparison with global data

Investigating the Causal Association between Intestinal Microbiota and Esophageal Diseases Using Two-Sample Mendelian Randomization

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