76 datasets found
  1. Stomach cancer cases in England 2022, by age and gender

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Stomach cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312752/stomach-cancer-cases-england-age/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    England
    Description

    This statistic shows the amount of registrations of newly diagnosed cases of stomach cancer in England in 2022, by age group. With a total of *** cases in 2022, the age group most affected by stomach cancer in terms of the number of cases was men aged 75 to 79 years. It should be noted that the number of people in England in each age group varies and is therefore not necessarily a reflection of susceptibility to this cancer.

  2. d

    Compendium – Mortality from stomach cancer

    • digital.nhs.uk
    csv, xls
    Updated Jul 21, 2022
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    (2022). Compendium – Mortality from stomach cancer [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/compendium-mortality/current/mortality-from-stomach-cancer
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    csv(14.7 kB), xls(54.8 kB)Available download formats
    Dataset updated
    Jul 21, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Area covered
    Wales, England
    Description

    Mortality from stomach cancer (ICD-10 C16 equivalent to ICD-9 151). To reduce deaths from stomach cancer. Legacy unique identifier: P00666

  3. Age-standardized death rate of stomach cancer among Canadian females...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Age-standardized death rate of stomach cancer among Canadian females 1988-2023 [Dataset]. https://www.statista.com/statistics/440659/mortality-rate-of-stomach-cancers-among-females-in-canada/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2020, the mortality rate for stomach cancer was *** per 100,000 population among females in Canada. This statistic displays the age-standardized mortality rate of stomach cancers among females in Canada between 1988 and 2020 with forecasts from 2021 to 2023.

  4. d

    Mortality from stomach cancer: crude death rate, by age group, 3-year...

    • digital.nhs.uk
    Updated Jul 21, 2022
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    (2022). Mortality from stomach cancer: crude death rate, by age group, 3-year average, MFP [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/compendium-mortality/current/mortality-from-stomach-cancer
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    Dataset updated
    Jul 21, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Description

    Legacy unique identifier: P00666

  5. Colombia: stomach cancer cases 2019, by age and gender

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Colombia: stomach cancer cases 2019, by age and gender [Dataset]. https://www.statista.com/statistics/1002927/colombia-stomach-cancer-cases-age-gender/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Colombia
    Description

    In 2019, nearly *** percent of all men, as well as more than *** percent of all women diagnosed with stomach cancer were between 65 to 69 years old. Meanwhile, only **** percent of all boys and **** percent of all girls and teens under 19 years old had the same condition.

  6. Stomach cancer: Mortality rate

    • data.wu.ac.at
    html
    Updated Sep 20, 2017
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    NHS Digital (2017). Stomach cancer: Mortality rate [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/MmNlYmI0MmYtNzNiZi00NjA0LWE3NWYtYTBkYTM0OWI1OGNm
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    htmlAvailable download formats
    Dataset updated
    Sep 20, 2017
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    NHS Digitalhttps://digital.nhs.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Deaths from stomach cancer - Directly age-Standardised Rates (DSR) per 100,000 population Source: Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Primary Care Trust (PCT), Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2005-07, 2007 Type of data: Administrative data

  7. f

    Data Sheet 1_Time trends in stomach cancer mortality across the BRICS: an...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Feb 28, 2025
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    Liu, Hao; Wang, Weihong; Liu, Dan; Wu, Yuhang (2025). Data Sheet 1_Time trends in stomach cancer mortality across the BRICS: an age-period-cohort analysis for the GBD 2021.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0002072973
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    Dataset updated
    Feb 28, 2025
    Authors
    Liu, Hao; Wang, Weihong; Liu, Dan; Wu, Yuhang
    Description

    ObjectivesStomach cancer is one of the leading causes of cancer death, and its epidemiologic characteristics are regionally heterogeneous worldwide. The BRICS nations (Brazil, Russian Federation, India, China, and South Africa) have markedly increasing influences on the international stage. We aim to investigate time trends in stomach cancer mortality among the BRICS countries from 1982 to 2021.MethodsData for this study were obtained from the Global Burden of Disease (GBD) 2021 public dataset to investigate the deaths, all-age mortality rate, and age-standardized mortality rate (ASMR) of stomach cancer. The age-period-cohort (APC) model was employed to estimate net drift, local drift, age-specific curves, and period (cohort) relative risks, and the Bayesian generalized linear model was employed to evaluate the relationship between food intake and mortality rate.ResultsIn 2021, there were approximately 572,000 stomach cancer deaths across the BRICS, accounting for 59.9% of global death. Russian Federation exhibited the most significant reduction in ASMR of stomach cancer among the BRICS. In contrast, China continued to report the highest number of stomach cancer deaths. The risk of mortality associated with stomach cancer exhibited a marked increase with advancing age, both within these countries and at the global level. PUFA, sodium, calcium and trans fat may have an impact on the mortality rate of stomach cancer. Favorable trends in period and birth cohort effects were observed in these five nations over the past decades.ConclusionBRICS countries have made varying progress in reducing stomach cancer mortality. Given the diverse environments, it is recommended to progressively develop customized stomach cancer prevention strategies, utilizing available resources. Healthcare services should be extended to all age groups, with a particular emphasis on vulnerable populations.

  8. Age adjusted incidence rate of stomach cancer India 2012-2016, by PBCR and...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Age adjusted incidence rate of stomach cancer India 2012-2016, by PBCR and gender [Dataset]. https://www.statista.com/statistics/1244085/india-age-adjusted-incidence-rate-of-stomach-cancer-by-pbcr-and-gender/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    Aizawl district in the eastern state of Mizoram in India had age adjusted incidence rate of stomach cancer cases among male of over ** cases per million male adults between the years 2012 and 2016. Whereas, the age incidence rate of stomach cancer among women in that region was over ** cases per million females in the country.

  9. Years of Life Lost (YLL): Stomach cancer

    • data.wu.ac.at
    html
    Updated Sep 20, 2017
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    NHS Digital (2017). Years of Life Lost (YLL): Stomach cancer [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/OWRlYjhiOTEtOTI2Ny00MzhkLWE4OWUtYjIxYzQ0YWJjNGUz
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    htmlAvailable download formats
    Dataset updated
    Sep 20, 2017
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    NHS Digitalhttps://digital.nhs.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Years of Life Lost (YLL) as a result of death from stomach cancer - Directly age-Standardised Rates (DSR) per 100,000 population Source: Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Primary Care Trust (PCT), Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2005-07, 2007 Type of data: Administrative data

  10. d

    Cancer Registration Statistics, England, 2022

    • digital.nhs.uk
    Updated Oct 17, 2024
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    (2024). Cancer Registration Statistics, England, 2022 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/cancer-registration-statistics
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    Dataset updated
    Oct 17, 2024
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Area covered
    England
    Description

    This publication reports on newly diagnosed cancers registered in England during 2022. It includes this summary report showing key findings, spreadsheet tables with more detailed estimates, and a methodology document. Cancer registration estimates are provided for: • Incidence of cancer using groupings that incorporate both the location and type of cancer by combinations of gender, age, deprivation, and stage at diagnosis (where appropriate) for England, former Government office regions, Cancer alliances and Integrated care boards • Incidence and mortality (using ICD-10 3-digit codes) by gender and age group for England, former Government office regions, Cancer alliances and Integrated care boards This publication will report on 2022 cancer registrations only, trends will not be reported as the required re-stated populations for 2012 to 2020 are not expected to be published by the Office of National Statistics (ONS) until Winter 2024.

  11. d

    Compendium – Years of life lost

    • digital.nhs.uk
    csv, xls
    Updated Jul 21, 2022
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    (2022). Compendium – Years of life lost [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/compendium-mortality/current/years-of-life-lost
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    csv(2.5 kB), xls(54.8 kB)Available download formats
    Dataset updated
    Jul 21, 2022
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2018 - Dec 31, 2020
    Area covered
    Wales, England
    Description

    Years of life lost due to mortality from stomach cancer (ICD-10 C16). Years of life lost (YLL) is a measure of premature mortality. Its primary purpose is to compare the relative importance of different causes of premature death within a particular population and it can therefore be used by health planners to define priorities for the prevention of such deaths. It can also be used to compare the premature mortality experience of different populations for a particular cause of death. The concept of years of life lost is to estimate the length of time a person would have lived had they not died prematurely. By inherently including the age at which the death occurs, rather than just the fact of its occurrence, the calculation is an attempt to better quantify the burden, or impact, on society from the specified cause of mortality. Legacy unique identifier: P00309

  12. Esophageal cancer cases in England 2022, by age and gender

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Esophageal cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312746/esophageal-cancer-cases-england-age/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom (England)
    Description

    In 2022, over 9.1 thousand people in England were diagnosed with esophageal cancer. The most affected age group was among those aged 75 to 79 years with 1,152 diagnoses in men of this age and 488 cases for women. The esophagus is also known as the gullet and is the tube that carries food to the stomach. Lifestyles which increase risk of developing esophageal cancer Certain harmful behaviors can increase the risk of a person developing esophageal cancer such as smoking or drinking excessive amounts of alcohol according to the NHS. As of 2022, 14 percent of men in England were regular smokers as well as 11 percent of women. Additionally, a study from 2022 found that many age groups, men in particular, exceed the recommended units of alcohol consumption of 1 units on an average week. Another aspect is diet Having a healthy diet is also an extra way to abet esophageal cancer, in particular the consumption of fruit and vegetables. The recommend advice is to consume at least five portions of fruit and vegetables per day. In 2018/19, among adults in England, 30 percent of women and 25 percent of men declared that they consume five portions or more per day. On the contrary, nine and seven percent of men and women respectively in England reported consuming no fruit or vegetables on a typical day.

  13. Table S3(A-D) from Global Incidence of Gastric Cancer by Age and Subtype...

    • aacr.figshare.com
    xlsx
    Updated Aug 1, 2025
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    Yu Jin; Ting Shu; Meijing Hu; Jing Yang; Yunhe Tian; Jiao Pei; Xinyi Lei; Cairong Zhu (2025). Table S3(A-D) from Global Incidence of Gastric Cancer by Age and Subtype with Age–Period–Cohort Analysis from 1988 to 2017 and Predictions to 2032 [Dataset]. http://doi.org/10.1158/1055-9965.29762073
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    xlsxAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Yu Jin; Ting Shu; Meijing Hu; Jing Yang; Yunhe Tian; Jiao Pei; Xinyi Lei; Cairong Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Table S3(A-D) shows country- and sex-specific data on new cases, person-years, crude incidence rates (CR), age-standardized incidence rates (ASIR), confidence intervals (LCIa, UCIa), and variance for non-cardia gastric cancer (NCGC) and cardia gastric cancer (CGC) in the whole and young (

  14. f

    Data_Sheet_1_Secular trends in the mortality of gastrointestinal cancers...

    • figshare.com
    docx
    Updated Jun 16, 2023
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    Yiran Cui; Gang Cheng; Gang Tian; Simin He; Yan Yan (2023). Data_Sheet_1_Secular trends in the mortality of gastrointestinal cancers across China, Japan, the US, and India: An age-period-cohort, Joinpoint analyses, and Holt forecasts.docx [Dataset]. http://doi.org/10.3389/fpubh.2022.925011.s001
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    docxAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Yiran Cui; Gang Cheng; Gang Tian; Simin He; Yan Yan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan, United States, China, India
    Description

    BackgroundColon cancer, esophageal cancer, and stomach cancer are the common causes of morbidity and mortality in China, Japan, the US., and India. The current study aims to assess and compare secular trends of the mortality of gastrointestinal cancers during the period, 1990–2017 in age-specific, time period, and birth cohort effects.MethodWe used the Joinpoint model to collect age-standardized mortality rates (ASMRs) for four countries. We designed an age-period-cohort (APC) analysis to estimate the independent effects on the mortality of three types of cancers.ResultThe Joinpoint model shows that in addition to the death rate of esophageal cancer in Japan, the ASMR of esophageal cancer and stomach cancer in other countries declined rapidly. The APC analysis presented a similar pattern of age effect between four countries for colon cancer and stomach cancer, which increased from 20 to 89 age groups. Differently, the period effect rapidly increased for esophageal cancer and stomach cancer in the US, and the period effect in China presented a declining volatility, showing its highest value in 2007. In future, highest mortality trends are likely to occur in China.ConclusionTherefore, the obvious increase in colon cancer recommended that earlier tactics must be performed to reduce mortality from specific causes from 2018 to 2027.

  15. Counts and age-standardized rate of gastric cancer incidence per 100,000 and...

    • plos.figshare.com
    xls
    Updated Sep 25, 2024
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    Armin Aslani; Amirali Soheili; Seyed Ehsan Mousavi; Ali Ebrahimi; Ryan Michael Antar; Zahra Yekta; Seyed Aria Nejadghaderi (2024). Counts and age-standardized rate of gastric cancer incidence per 100,000 and average annual percent change from 2000 to 2019 in the United States, by age, sex, and race. [Dataset]. http://doi.org/10.1371/journal.pone.0310040.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Armin Aslani; Amirali Soheili; Seyed Ehsan Mousavi; Ali Ebrahimi; Ryan Michael Antar; Zahra Yekta; Seyed Aria Nejadghaderi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Counts and age-standardized rate of gastric cancer incidence per 100,000 and average annual percent change from 2000 to 2019 in the United States, by age, sex, and race.

  16. Table S2 from Global Incidence of Gastric Cancer by Age and Subtype with...

    • aacr.figshare.com
    xlsx
    Updated Aug 1, 2025
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    Yu Jin; Ting Shu; Meijing Hu; Jing Yang; Yunhe Tian; Jiao Pei; Xinyi Lei; Cairong Zhu (2025). Table S2 from Global Incidence of Gastric Cancer by Age and Subtype with Age–Period–Cohort Analysis from 1988 to 2017 and Predictions to 2032 [Dataset]. http://doi.org/10.1158/1055-9965.29762079
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    xlsxAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    American Association for Cancer Researchhttp://www.aacr.org/
    Authors
    Yu Jin; Ting Shu; Meijing Hu; Jing Yang; Yunhe Tian; Jiao Pei; Xinyi Lei; Cairong Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplementary Table S2 shows country-specific numbers of new gastric cancer cases and person-years from 1988 to 2017 across CI5 volumes.

  17. f

    Risk of stomach cancer in Aotearoa/New Zealand: A Māori population based...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Jun 2, 2023
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    Lis Ellison-Loschmann; Andrew Sporle; Marine Corbin; Soo Cheng; Pauline Harawira; Michelle Gray; Tracey Whaanga; Parry Guilford; Jonathan Koea; Neil Pearce (2023). Risk of stomach cancer in Aotearoa/New Zealand: A Māori population based case-control study [Dataset]. http://doi.org/10.1371/journal.pone.0181581
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lis Ellison-Loschmann; Andrew Sporle; Marine Corbin; Soo Cheng; Pauline Harawira; Michelle Gray; Tracey Whaanga; Parry Guilford; Jonathan Koea; Neil Pearce
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Māori, the indigenous people of New Zealand, experience disproportionate rates of stomach cancer, compared to non-Māori. The overall aim of the study was to better understand the reasons for the considerable excess of stomach cancer in Māori and to identify priorities for prevention. Māori stomach cancer cases from the New Zealand Cancer Registry between 1 February 2009 and 31 October 2013 and Māori controls, randomly selected from the New Zealand electoral roll were matched by 5-year age bands to cases. Logistic regression was used to estimate odd ratios (OR) and 95% confidence intervals (CI) between exposures and stomach cancer risk. Post-stratification weighting of controls was used to account for differential non-response by deprivation category. The study comprised 165 cases and 480 controls. Nearly half (47.9%) of cases were of the diffuse subtype. There were differences in the distribution of risk factors between cases and controls. Of interest were the strong relationships seen with increased stomach risk and having >2 people sharing a bedroom in childhood (OR 3.30, 95%CI 1.95–5.59), testing for H pylori (OR 12.17, 95%CI 6.15–24.08), being an ex-smoker (OR 2.26, 95%CI 1.44–3.54) and exposure to environmental tobacco smoke in adulthood (OR 3.29, 95%CI 1.94–5.59). Some results were attenuated following post-stratification weighting. This is the first national study of stomach cancer in any indigenous population and the first Māori-only population-based study of stomach cancer undertaken in New Zealand. We emphasize caution in interpreting the findings given the possibility of selection bias. Population-level strategies to reduce the incidence of stomach cancer in Māori include expanding measures to screen and treat those infected with H pylori and a continued policy focus on reducing tobacco consumption and uptake.

  18. f

    Table_1_Time Trends of Gastrointestinal Cancers Incidence and Mortality in...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Yi Shao; Zhaolai Hua; Lei Zhao; Yi Shen; Xudong Guo; Chen Niu; Wenqiang Wei; Fen Liu (2023). Table_1_Time Trends of Gastrointestinal Cancers Incidence and Mortality in Yangzhong From 1991 to 2015: An Updated Age-Period-Cohort Analysis.docx [Dataset]. http://doi.org/10.3389/fonc.2018.00638.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Yi Shao; Zhaolai Hua; Lei Zhao; Yi Shen; Xudong Guo; Chen Niu; Wenqiang Wei; Fen Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Yangzhong
    Description

    Background: Gastrointestinal (GI) cancers are the common cause of morbidity and mortality in China which seriously threaten people's health and lives. The aim of this study was to describe the temporal trend in the epidemiology of GI cancers from 1991 to 2015, with an emphasis on the effects of age, period and cohort in Yangzhong City, Jiangsu province, a high-risk area of GI cancers in China.Methods: Our study extracted cases of gastric cancer, esophageal cancer and colorectal cancer diagnosed from 1991 to 2015 from Yangzhong Cancer Registry. Age-standardized rates (ASRs) were calculated and joinpoint regression was used to compute the estimated annual percent changes. Age-period-cohort (APC) model was performed to investigate the independent effects of age, calendar period, and birth cohort.Results: Between 1991 and 2015, 18,006 new cases and 10,262 deaths were registered with GI cancers in Yangzhong. The age-standardized incidence rates (ASIRs) of gastric cancer decreased in both sexes during the study period. And the incidence rates of esophageal cancer stabilized at first then continued to decline, the turning point was in 2005 for men and 2001 for women. Changes in the mortality rates of gastric cancer and esophageal cancer showed significant declined trends around 2000–2010 in both genders. The incidence rates of colorectal cancer increased steadily during the entire study period, and the increase was more pronounced in the mortality rates of men. The results of APC analysis suggest that general decreases in incidence and mortality of esophageal cancer and gastric cancer might be caused by the downward trend of the period and cohort effects, while the increases in colorectal cancer might be caused by the uptrend of the period effects.Conclusions: The incidence and mortality rates of esophageal and gastric cancers showed a downward trend and colorectal cancer was on the rise as a whole in Yangzhong City. The different burden of gastrointestinal cancer indicating heterogeneous risk factors exist and may have contributed to these temporal variations.

  19. f

    Table_1_Urban-Rural Disparity in Cancer Incidence, Mortality, and Survivals...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 1, 2023
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    Xiaopan Li; Yang Deng; Weina Tang; Qiao Sun; Yichen Chen; Chen Yang; Bei Yan; Yingying Wang; Jing Wang; Shuo Wang; Fan Yang; Yibo Ding; Genming Zhao; Guangwen Cao (2023). Table_1_Urban-Rural Disparity in Cancer Incidence, Mortality, and Survivals in Shanghai, China, During 2002 and 2015.docx [Dataset]. http://doi.org/10.3389/fonc.2018.00579.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Xiaopan Li; Yang Deng; Weina Tang; Qiao Sun; Yichen Chen; Chen Yang; Bei Yan; Yingying Wang; Jing Wang; Shuo Wang; Fan Yang; Yibo Ding; Genming Zhao; Guangwen Cao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China, Shanghai
    Description

    Introduction: Disparities in the incidence, mortality, and survival of cancer types between urban and rural areas in China reflect the effects of different risk factor exposure, education, and different medical availability. We aimed to characterize the disparities in the incidence, mortality, and survivals of cancer types between urban and rural areas in Shanghai, China, 2002-2015.Materials and Methods: The incidence and mortality were standardized by Segi's world standard population. Trends in the incidence and mortality of cancers were compared using annual percent change. The 5-year observed and relative survivals were calculated with life table and Ederer II methods.Results: Age-standardized incidences and mortalities were 212.55/105 and 109.45/105 in urban areas and 210.14/105 and 103.99/105 in rural areas, respectively. Female breast cancer and colorectal cancer occurred more frequently in urban than in rural areas, quite in contrast to liver cancer and cervical cancer. Cancers of lung and bronchus, liver, stomach, and colon and rectum were the leading causes of cancer death in both areas. Age-standardized incidence of female breast cancer and colorectal cancer in urban areas increased while gastric cancer and liver cancer decreased in both areas. Age-standardized mortalities of cancers of breast, esophagus, stomach, colon and rectum, liver, and lung and bronchus decreased in both areas. For all cancers combined, the 5-year observed and relative survivals of cancer patients were higher in urban than in rural areas. The 5-year observed and relative survivals of cancers of liver, pancreas, stomach, brain and central nervous system (CNS), and prostate were higher in urban than in rural areas. The 5-year observed and relative survivals of cervical cancer were higher in rural than in urban areas.Conclusions: Factors promoting female breast cancer and colorectal cancer in urban areas and liver cancer and cervical cancer in rural areas should be specifically intervened in cancer prophylaxis. Improved medical services can greatly prolong the survival of major cancers in rural areas.

  20. d

    PHIDU - Cancer Incidence - Males (PHA) 2006 - 2010

    • data.gov.au
    ogc:wfs, wms
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    PHIDU - Cancer Incidence - Males (PHA) 2006 - 2010 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-TUA_PHIDU-UoM_AURIN_DB_1_phidu_cancer_incidence_males_pha_2006_10
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    wms, ogc:wfsAvailable download formats
    Description

    This dataset, released September 2017, contains data on the male cancer incidences during 2006-2010 by Prostate cancer, Colorectal Cancer, Melanoma of the skin, Lung cancer, Head and neck cancer, …Show full descriptionThis dataset, released September 2017, contains data on the male cancer incidences during 2006-2010 by Prostate cancer, Colorectal Cancer, Melanoma of the skin, Lung cancer, Head and neck cancer, Lymphoma cancer, Leukaemia cancer, Bladder cancer, Kidney cancer, Pancreatic cancer, Stomach cancer, All other cancers and All cancers combined. The data is by Population Health Area (PHA) 2016 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS). Population Health Areas, developed by PHIDU, are comprised of a combination of whole SA2s and multiple (aggregates of) SA2s, where the SA2 is an area in the ABS structure. For more information please see the data source notes on the data. Source: Compiled by PHIDU from an analysis by the Australian Institute of Health and Welfare (AIHW) of the Australian Cancer Database (ACD) 2012. The ACD is compiled at the AIHW from cancer data provided by state and territory cancer registries. Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Abbreviation Information: "ASR per #" - Indirectly age-standardised rate per specified population. "SR" - Indirectly age-standardised ratio. "95% C.I" - upper and lower 95% confidence intervals. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

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Statista (2025). Stomach cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312752/stomach-cancer-cases-england-age/
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Stomach cancer cases in England 2022, by age and gender

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Dataset updated
Jul 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
England
Description

This statistic shows the amount of registrations of newly diagnosed cases of stomach cancer in England in 2022, by age group. With a total of *** cases in 2022, the age group most affected by stomach cancer in terms of the number of cases was men aged 75 to 79 years. It should be noted that the number of people in England in each age group varies and is therefore not necessarily a reflection of susceptibility to this cancer.

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