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.

Legacy unique identifier: P00670

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.

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.

Aizawl district in the eastern state of Mizoram in India had age adjusted incidence rate of stomach cancer cases among male of over 44 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 21 cases per million females in the country.

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.

As of 2024, around ****** people were living with a diagnosis of stomach cancer in Italy. Most of them were men, with ****** cases. The graph presented shows the number of people living with a diagnosis of stomach cancer in Italy as of 2024, by gender.

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

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.

BackgroundStomach cancer is a significant health problem in many countries. But healthcare needs of adolescents and young adults (AYAs) stomach cancer patients have been historically neglected. An accurate appraisal of the burden of AYA stomach cancer is crucial to formulating effective preventive strategies. In this study, we report the most recent estimates of AYA stomach cancer burden concerning socio-demographic index (SDI) in 204 countries and territories between 1990 and 2019.MethodsEstimates from the Global Burden of Disease study 2019 were used to analyze incidence, mortality, and disability-adjusted life years (DALYs) due to AYA stomach cancer at global, regional, and national levels. Association between AYA stomach cancer burden and SDI were investigated. All estimates are reported as absolute numbers and age-standardized rates, which were standardized to the GBD world population and reported per 100,000 population.ResultsIn 2019, there were 49,000 incident cases, 27,895 deaths, and 1.57 million DALYs due to AYA stomach cancer globally. The highest age-standardized incidence rate occurred in East Asia [2.42 (women) and 4.71 (men) per 100,000 person-years] and high-income Asia Pacific [3.16 (women) and 2.61 (men) per 100,000 person-years]. Age-standardized death [1.53 (women) and 2.65 (men) per 100,000 person-years] and DALY [150.96 (women) and 87.13 (men) per 100,000 person-years] rates were highest in Oceania. Compared with 1990, in 2019 more than 1,075 more incident cases of AYA stomach cancer were estimated with a decrease of 7,784 deaths. Despite the increase in absolute number of incident cases, the worldwide age-standardized rates of AYA stomach cancer (incidence, deaths, and DALYs) have declined since 1990. The drop in the disease burden was associated with an improved SDI. Globally, 24.41% of the age-standardized DALYs were attributable to a high-sodium diet in both sexes combined, and 0.57% of the age-standardized DALYs were attributable to smoking in men.ConclusionThe global burden of AYA stomach cancer is substantial, especially in developing regions. Capacity-building activities for AYA stomach cancer will benefit the younger generation and population health worldwide.

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

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.

This dataset is designed for the task of gastric cancer detection using advanced machine learning models. It contains clinical, demographic, diagnostic, and molecular data gathered from diverse healthcare sources, specifically focusing on gastric cancer (GC) patients. The dataset is sourced from clinical studies, medical imaging, and genomics, offering a rich collection of features that can be leveraged to identify patterns and predict cancer risks, including genetic, environmental, and lifestyle-related factors.

The dataset consists of comprehensive records from gastric cancer patients, detailing their medical history, diagnostic results, and various imaging and molecular profiles. It is particularly useful for research in AI-based detection and diagnosis of gastric cancer, as well as in predictive modeling for clinical decision-making.

This study employed a Zurich, Switzerland, specialized research cooperative dataset cite{33}. This collection includes patient information from regional medical facilities and research labs known for cancer and molecular diagnostics. It offers varied and high-quality data from real-world stomach cancer diagnostic and clinical procedures. The data gathering procedure followed strong ethical and privacy norms to protect patient data. Gastric cancer research records were validated to ensure relevance and correctness, making them trustworthy for AI-driven medical applications. The dataset contains demographic, clinical, and molecular information important to healthcare analytics and represents the newest advances. A stable basis for AI-based stomach cancer diagnosis, this dataset allows prediction models to be tested and validated in real life.

Features The dataset includes the following columns, each representing key variables related to gastric cancer detection and patient characteristics:

Age:

Type: Numerical Description: Age of the patient at the time of diagnosis or evaluation. Gender:

Type: Categorical (Male/Female) Description: The gender of the patient. Ethnicity:

Type: Categorical Description: Ethnic background of the patient. Geographical Location:

Type: Categorical Description: The geographical location where the data was collected (e.g., country, region). Family History:

Type: Binary (Yes/No) Description: Whether the patient has a family history of cancer (Yes/No). Smoking Habits:

Type: Binary (Yes/No) Description: Whether the patient smokes (Yes/No). Alcohol Consumption:

Type: Binary (Yes/No) Description: Whether the patient consumes alcohol (Yes/No). Helicobacter Pylori Infection:

Type: Binary (Yes/No) Description: Whether the patient has a Helicobacter pylori infection, a known risk factor for gastric cancer. Dietary Habits:

Type: Categorical Description: Dietary patterns of the patient, such as high salt intake or high-fat diet. Existing Conditions:

Type: Categorical Description: Pre-existing medical conditions such as diabetes, gastritis, or hypertension. Endoscopic Images:

Type: Categorical (Normal/Abnormal) Description: Results from endoscopy imaging of the gastric mucosa. Normal or abnormal findings. Biopsy Results:

Type: Categorical (Positive/Negative) Description: The result of biopsy testing. Positive or negative for cancer. CT Scan:

Type: Categorical (Normal/Abnormal) Description: Imaging results from a CT scan used to detect potential tumors in the stomach. Mature miRNA Accession:

Type: Categorical Description: Accession number of the mature miRNA, a biomarker used in cancer diagnosis. Mature miRNA ID:

Type: Categorical Description: Identifier for the mature miRNA sequence. Target Symbol:

Type: Categorical Description: Symbol of the target gene associated with the miRNA. Target Entrez:

Type: Categorical Description: Unique Entrez Gene ID for the target gene. Target Ensembl:

Type: Categorical Description: Unique Ensembl Gene ID for the target gene. DIANA microT Score:

Type: Numerical Description: Prediction score for miRNA-target interaction based on the DIANA algorithm. ElMMo Score:

Type: Numerical Description: Confidence score for miRNA-target predictions. Microcosm Score:

Type: Numerical Description: Interaction score based on the Microcosm prediction algorithm. MiRanda Score:

Type: Numerical Description: Score representing miRNA-target alignment from the MiRanda algorithm. miRDB Score:

Type: Numerical Description: Confidence score from the miRDB database indicating the strength of miRNA-target interaction. PicTar Score:

Type: Numerical Description: Predicted miRNA-target interaction score from the PicTar algorithm. PITA Score:

Type: Numerical Description: Prediction score based on target accessibility. TargetScan Score:

Type: Numerical Description: miRNA target prediction score from the TargetScan algorithm. Predicted Sum:

Type: Numerical Description: Aggregated prediction confidence score across multiple algorithms. All...

Table B. Age-specific upper aerodigestive tract cancer deaths and the corresponding population, birth cohort and survey years in the period 1987-2016 in Lithuania. Women

Additional file 12: Table S1. The incident cases, age-standardized incidence and temporal trends of gastric cancer in countries from 1990 to 2019. Table S2. Joinpoint regression analysis of gastric cancer incidence in countries from 1990 to 2019. Table S3. Joinpoint regression analysis of gastric cancer incidence of annual percentage change (APC) in territories from 1990 to 2019. Table S4. Joinpoint regression analysis of gastric cancer incidence of average annual percentage change (AAPC) in territories from 1990 to 2019.

We have evaluated the ever changing epidemiology of cancers in Fars province, Iran since the re-establishment of Fars cancer registry. Based on the collected data from all related sources in Fars province from 2007–2010 we calculated the cancer age-standardized rates per 100,000 person-years (ASRs). The results are presented as incidence rates of cases by site according to the International Classification of Diseases for Oncology (ICD-O), sex, age, crude rate, and ASRs. In women the total ASR was 41.70 per 100,000 from 1985–1989 which had increased to 55.50 and 95.46 during 1998–2002 and 2007–2010. The incidence of breast cancer in women during 2007–2010 was about two and four times higher than 1998–2002 and 1985–1989. The incidence of colorectal cancer in women during 2007–2010 was about three and five times higher than 1998–2002 and 1985–1989. In men the total ASR was 62.9 per 100,000 in 1985–1989 that increased to 64.50 and 101.48 during 1998–2002 and 2007–2010. Although stomach cancer was the most common cancer among men during 1985–1989 and 1998–2002, but in recent study bladder cancer was the most common cancer among men in Fars province. The incidence of colorectal cancer in men during 2007–2010 was about three times higher than 1998–2002 and 1985–1989. This study shows growing incidence of cancer in southern Iran. The colorectal cancer in both genders had increased and its pattern is similar to western countries. In men, bladder and prostate cancers had a growing rate and the incidences of these cancers in the present study were greater than stomach cancer.

In 2024, around ****** people were diagnosed with stomach cancer in Italy. Most of those diagnosed were men, with ***** cases. The graph presented shows the estimated number of people with a new diagnosis of stomach cancer in Italy in 2024, by gender.

Source: https://ourworldindata.org/cancer

The dataset titled "Cancer Types Causing Death," sourced from Our World in Data, provides a comprehensive overview of global cancer mortality trends. According to the dataset, lung cancer leads as the most fatal cancer worldwide, with approximately 1.8 million deaths in 2022, accounting for 18.7% of all cancer-related fatalities . Following lung cancer, colorectal cancer ranks second, causing about 900,000 deaths (9.3%), while liver cancer and breast cancer account for 760,000 (7.8%) and 670,000 (6.9%) deaths, respectively. Stomach cancer also remains a significant cause of death, with 660,000 fatalities (6.8%) .

The dataset highlights that lung cancer's prevalence is closely linked to tobacco use, particularly in regions like Asia. In contrast, breast cancer predominantly affects women, while colorectal cancer impacts both genders equally. Notably, the dataset indicates a decline in age-standardized death rates for certain cancers, such as stomach cancer, due to improved hygiene, sanitation, and antibiotic treatments targeting Helicobacter pylori infections . Our World in Data

Additionally, the dataset underscores the global disparity in cancer mortality, with approximately 70% of cancer deaths occurring in low- and middle-income countries . This disparity is attributed to factors like limited access to early detection, treatment, and preventive measures. The dataset serves as a valuable resource for understanding the global burden of cancer and the need for targeted public health interventions. World Health Organization

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: P00310

In 2022, around *** thousand people died because of stomach cancer in Italy. Most of them were men, with ***** cases. The graph presented shows the estimated number of deaths from stomach cancer in Italy in 2022, by gender.