In 2022, the mortality rate of colorectal cancer in Europe was, among men, **** per 100,000, while among women it stood at **** per 100,000. For men, Croatia had the highest mortality rate at **** per 100,000, while Luxembourg had the lowest at **** per 100,000. For women, Croatia also had the highest mortality rate at **** per 100,000, while Austria had the lowest at **** per 100,000. This statistic depicts the mortality rate of colorectal cancer in Europe in 2022, by country and gender.

Legacy unique identifier: P00227

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

Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

Rate: Number of deaths due to a cancer of the colon, rectum, or anus per 100,000 population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) of the colon, rectum, or anus as the underlying cause (ICD-10 codes: C18-C21).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

(2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

In 2022, Germany recorded the highest number of colorectal cancer deaths among EU countries, with ****** deaths registered. Italy and France followed closely, with approximately ** thousand and ** thousand deaths registered, respectively. This statistic depicts the number of colorectal cancer deaths in the European Union in 2022, by country.

Medical Service Study Areas (MSSAs)As defined by California's Office of Statewide Health Planning and Development (OSHPD) in 2013, "MSSAs are sub-city and sub-county geographical units used to organize and display population, demographic and physician data" (Source). Each census tract in CA is assigned to a given MSSA. The most recent MSSA dataset (2014) was used. Spatial data are available via OSHPD at the California Open Data Portal. This information may be useful in studying health equity.Age-Adjusted Incidence Rate (AAIR)Age-adjustment is a statistical method that allows comparisons of incidence rates to be made between populations with different age distributions. This is important since the incidence of most cancers increases with age. An age-adjusted cancer incidence (or death) rate is defined as the number of new cancers (or deaths) per 100,000 population that would occur in a certain period of time if that population had a 'standard' age distribution. In the California Health Maps, incidence rates are age-adjusted using the U.S. 2000 Standard Population.Cancer incidence ratesIncidence rates were calculated using case counts from the California Cancer Registry. Population data from 2010 Census and SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators. Yearly SEER 2015 census tract estimates by race/origin (controlling to Vintage 2015) were used to estimate population denominators for 5-year incidence rates (2013-2017)According to California Department of Public Health guidelines, cancer incidence rates cannot be reported if based on <15 cancer cases and/or a population <10,000 to ensure confidentiality and stable statistical rates.Spatial extent: CaliforniaSpatial Unit: MSSACreated: n/aUpdated: n/aSource: California Health MapsContact Email: gbacr@ucsf.eduSource Link: https://www.californiahealthmaps.org/?areatype=mssa&address=&sex=Both&site=AllSite&race=&year=05yr&overlays=none&choropleth=Obesity

Rate: Number of deaths due to all kinds of Cancer per 100,000 Population.

Definition: Number of deaths per 100,000 with malignant neoplasm (cancer) as the underlying cause (ICD-10 codes: C00-C97).

Data Sources:

(1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

(2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(3) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

Deaths from colorectal 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

Death rate has been age-adjusted to the 2000 U.S. standard population. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Being physically active and eating a diet that is rich in fruits, vegetables, lean meats, and fiber can reduce the risk of colon cancer. Promoting healthy food retail and access to preventive care services are important measures that cities and communities can take to prevent colon cancer.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Standardized number of bowel cancer deaths in women per 100,000 inhabitants, care region Kleine Stad, Flanders, period 2003-2012. For this cause of death group of colorectal cancer with ICD-10 codes C18-C21 (death due to cancer of the colon, rectum or anus), an analysis was made for the period 2003-2012. It concerns the average number of inhabitants in the region during the period 2003-2012. All figures refer exclusively to residents of the Flemish Region. Foreigners and residents of the Walloon Region or the Brussels-Capital Region who died in the Flemish Region are therefore not included. They also do not appear in the population denominators. Average annual number of deaths in the region for the selected cause of death for the period 2003-2012. This is direct standardization and is expressed as "number of deaths per 100,000 persons of a standard population". This method is used in these maps (entire mortality atlas) and for comparisons between Flanders and Europe. The legend is constructed as follows: the midpoint of each interval (group boundaries) is 10% lower than the next group, and 10% higher than the previous group. -per-region-2014Definition care region Small City: A care region is a geographically defined area. With a view to stimulating and organizing cooperation between health facilities and welfare facilities and determining the programming, the Flemish Government divides the Flemish Region into care regions. In doing so, it takes into account existing partnerships and their specific characteristics, and provincial boundaries are respected. The Flemish government also pays attention to the accessibility and accessibility of the health facilities or welfare facilities for the user. Care region layer Small City divides the area of ​​the Flemish Region into 59 areas. The Brussels-Capital Region can be included as an additional area in certain cases when the Flemish government has competence in the Brussels-Capital Region.

In the period from 2018 to 2022, around 15 per 100,000 males in the United States died due to colorectal cancer. This statistic displays the colorectal cancer mortality rate among U.S. residents from 2018 to 2022, by gender.

In 2022, the incidence rate of colorectal cancer in the EU was, among men, **** per 100,000, while among women it stood at **** per 100,000. For men, Hungary had the highest incidence rate at ***** per 100,000, while Austria had the lowest at **** per 100,000. For women, Denmark had the highest incidence rate at **** per 100,000, while Austria had the lowest at **** per 100,000. This statistic depicts the incidence rate of colorectal cancer in the EU in 2022, by country and gender (per 100,000 population).

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

In 2021, a total of 18,652 deaths from colorectal cancer were registered. The Italian macro-region in which the most deaths from colorectal cancer occurred was the North-West: in this area, roughly ************* deaths from this cause were recorded. Deaths from colorectal cancer seemed to be more common among male individuals than among female ones. This statistic breaks down the number of deaths from colorectal cancer in Italy in 2021, by gender and geographic area.

In the period from 2018 to 2022, non-Hispanic Blacks had a colorectal cancer mortality rate of **** per 100,000 population. This statistic displays the colorectal cancer mortality rate among U.S. residents from 2018 to 2022, by race and ethnicity.

Colorectal cancer is the third most common cancer diagnosed and third leading cause of cancer-related deaths in the United States for both men and women. The American Cancer Society (ACS) estimates about 108,070 new cases of colon cancer and 40,740 new cases of rectal cancer will be diagnosed, and about 49,960 deaths will occur as a result of this devastating disease in 2008. Over the last 20 years, the death rate for this cancer has been dropping as a result of screening and early detection of cancer. In 2007, ACS reported that early-stage colorectal cancer had a survival rate close to 80%, and up to 9,632 deaths could be prevented each year if eligible patients received screening when necessary. However, despite the proven efficacy of colorectal cancer (CRC) screening, only about 50% of eligible US patients are currently being screened. Specific Aims The central hypothesis of this proposal is that patient-initiated prompting of primary care physicians of the patient’s interest in screening will increase referrals for CRC screening. The following three areas will be investigated during this research: 1. To determine whether a communication tool provided to patients will initiate a conversation with their primary care physicians about CRC screening, especially via colonoscopy. 2. To determine whether this tool will impact referral patterns for screening, especially, although not primarily, among poor and underserved populations. 3. To determine whether differences exist in regard to patient-physician communication patterns about screening among residents and faculties in the fields of internal medicine and family practice clinics. At the close of the investigators study, the investigators wish to organize quantifiable data demonstrating how patient-initiated prompting of primary care physicians for CRC screening increases early detection and decreases potential mortality from colorectal cancer. This data will inform a second, larger study to pursue the questions surrounding patient-initiated prompting in

In 2023, it was estimated that there would be five colorectal cancer deaths among those between 15 and 29 years in Canada. This statistic displays the estimated number of colorectal cancer deaths in Canada by age group in 2023.

BackgroundEarly-onset colorectal cancer (EOCRC) has an alarmingly increasing trend and arouses increasing attention. Causes of death in EOCRC population remain unclear.MethodsData of EOCRC patients (1975–2018) were extracted from the Surveillance, Epidemiology, and End Results database. Distribution of death was calculated, and death risk of each cause was compared with the general population by calculating standard mortality ratios (SMRs) at different follow-up time. Univariate and multivariate Cox regression models were utilized to identify independent prognostic factors for overall survival (OS).ResultsThe study included 36,013 patients, among whom 9,998 (27.7%) patients died of colorectal cancer (CRC) and 6,305 (17.5%) patients died of non-CRC causes. CRC death accounted for a high proportion of 74.8%–90.7% death cases within 10 years, while non-CRC death (especially cardiocerebrovascular disease death) was the major cause of death after 10 years. Non-cancer death had the highest SMR in EOCRC population within the first year after cancer diagnosis. Kidney disease [SMR = 2.10; 95% confidence interval (CI), 1.65–2.64] and infection (SMR = 1.92; 95% CI, 1.48–2.46) were two high-risk causes of death. Age at diagnosis, race, sex, year of diagnosis, grade, SEER stage, and surgery were independent prognostic factors for OS.ConclusionMost of EOCRC patients died of CRC within 10-year follow-up, while most of patients died of non-CRC causes after 10 years. Within the first year after cancer diagnosis, patients had high non-CRC death risk compared to the general population. Our findings help to guide risk monitoring and management for US EOCRC patients.

The global incidence of early-onset colorectal cancer (EO-CRC) is increasing. Although the mortality rate is relatively stable, some comorbidities have been associated with a higher mortality rate. This study estimated the mortality risk in patients with EO-CRC with various comorbidities using real-world data to identify the high-risk group using Cox proportional regression for overall and cancer-specific mortality. The incidence rate of EO-CRC significantly increased from 6.04 per 100,000 population in 2007 to 12.97 per 100,000 population in 2017. The five-year overall mortality rate was 101.50 per 1000 person year and the cancer-specific mortality rate was 94.12 per 1000 person year. Patients with cerebrovascular disease (CVD) had a higher mortality risk (hazard ratio (HR): 1.68; 95% confidence interval (CI): 1.25-2.28; p=0.0007). After subgroup analyses based on age, sex, clinical stage, and treatment type, patients with CVD had a higher overall mortality risk compared to non-CVD patients, except for patients undergoing surgery and chemotherapy. Patients with chronic kidney disease had a higher mortality risk in the early clinical stages (HR: 2.31; 95% CI: 1.08-4.96; p=0.0138). Patients who underwent radiotherapy had a higher overall mortality risk (HR: 1.38; 95% CI: 1.04-1.85; p=0.0285) than those without liver disease. Identifying specific comorbidity mortality risks in patients with EO-CRC allows for risk stratification when screening target groups and may lower disease mortality.