In Germany, the number of deaths caused by cancer remained relatively stable between 2019 and 2023. Men reported approximately 18 to 20 thousand more deaths than women for each of the analyzed years. This statistic depicts the number of deaths from cancer in Germany between 2019 and 2023, by gender.

Decrease the cancer death rate from 185.7 per 100,000 in 2013 to 180.3 per 100,000 by 2019.

This data provides high-level data on historical registrations (or cases) and deaths, including information about the cancer types and breakdowns by gender variables.

In Germany, the number of deaths caused by lung cancer between 2019 and 2023 were consistently higher for men, although decreasing to around 26.6 thousand death cases in 2023. Conversely, women reported around 18.3 thousand deaths in the same period. This statistic depicts the number of lung cancer deaths in Germany between 2019 and 2023, by gender.

In Germany, the number of deaths caused by stomach cancer between 2019 and 2023 were consistently higher for men, reaching around 4.7 thousand death cases in 2023. Conversely, women reported around 3.1 thousand deaths in the same period. This statistic depicts the number of stomach cancer deaths in Germany between 2019 and 2023, by gender.

In Germany, the number of deaths caused by breast cancer among women remained relatively constant between 2019 and 2023, with over 18.5 thousand deaths reported in 2023. This statistic depicts the number of breast cancer deaths among women in Germany between 2019 and 2023.

BackgroundThe exponential growth of the cancer burden attributable to metabolic factors deserves global attention. We investigated the trends of cancer mortality attributable to metabolic factors in 204 countries and regions between 1990 and 2019.MethodsWe extracted data from the Global Burden of Disease Study (GBD) 2019 and assessed the mortality, age-standardized death rate (ASDR), and population attributable fractions (PAFs) of cancers attributable to metabolic factors. Average annual percentage changes (AAPCs) were calculated to assess the changes in the ASDR. The cancer mortality burden was evaluated according to geographic location, SDI quintiles, age, sex, and changes over time.ResultsCancer attributable to metabolic factors contributed 865,440 (95% UI, 447,970-140,590) deaths in 2019, a 167.45% increase over 1990. In the past 30 years, the increase in the number of deaths and ASDR in lower SDI regions have been significantly higher than in higher SDI regions (from high to low SDIs: the changes in death numbers were 108.72%, 135.7%, 288.26%, 375.34%, and 288.26%, and the AAPCs were 0.42%, 0.58%, 1.51%, 2.36%, and 1.96%). Equatorial Guinea (AAPC= 5.71%), Cabo Verde (AAPC=4.54%), and Lesotho (AAPC=4.42%) had the largest increase in ASDR. Large differences were observed in the ASDRs by sex across different SDIs, and the male-to-female ratios of ASDR were 1.42, 1.50, 1.32, 0.93, and 0.86 in 2019. The core population of death in higher SDI regions is the age group of 70 years and above, and the lower SDI regions are concentrated in the age group of 50-69 years. The proportion of premature deaths in lower SDI regions is significantly higher than that in higher SDI regions (from high to low SDIs: 2%, 4%, 7%, 7%, and 9%). Gastrointestinal cancers were the core burden, accounting for 50.11% of cancer deaths attributable to metabolic factors, among which the top three cancers were tracheal, bronchus, and lung cancer, followed by colon and rectum cancer and breast cancer.ConclusionsThe cancer mortality burden attributable to metabolic factors is shifting from higher SDI regions to lower SDI regions. Sex differences show regional heterogeneity, with men having a significantly higher burden than women in higher SDI regions but the opposite is observed in lower SDI regions. Lower SDI regions have a heavier premature death burden. Gastrointestinal cancers are the core of the burden of cancer attributable to metabolic factors.

In 2019, it was estimated that around 44 percent of all cancer deaths among adults aged 30 years or above in the United States could be attributed to potentially modifiable risk factors. At that time, cigarette smoking attributed to around 28.5 percent of all cancer deaths. This statistic shows the proportion of cancer deaths in the United States attributable to select risk factors in 2019.

This release summarises the diagnoses in 2019 registered by NDRS covering all registerable neoplasms (all cancers, all in situ tumours, some benign tumours and all tumours that have uncertain or unknown behaviours)

This publication reports on newly diagnosed cancers registered in England in addition to cancer deaths registered in England during 2020. It includes this summary report showing key findings, spreadsheet tables with more detailed estimates, and a methodology document.

In Germany, the number of deaths caused by ovarian cancer remained relatively constant between 2019 and 2023, with 5,223 women dying from this disease in 2023. This statistic depicts the number of ovarian cancer deaths in Germany between 2019 and 2023.

In 2019, approximately 61 men and 43 women per 100,000 population died from lung cancer in England. The North East of England had the highest mortality from lung cancer for both genders with a rate of approximately 80 men and 66 women per 100,000 population.

Standardised death rate per 100,000 persons for cardiovascular disease, respiratory disease, diabetes and cancer.

Cardiovascular Disease: In 2019, cardiovascular disease accounted for 43,249 deaths which was 25.5% of all deaths. Of these, there were 21,849 deaths for males and 21,400 deaths for females1.

Cancer: The ABS advises that in 2019, the leading cause of death was Ischaemic heart disease (18,244 deaths), accounting for 10.8% of all deaths1. However, deaths from all cancers (neoplasms) combined accounted for 29.5% (49,967deaths) 1.

Diabetes: In 2019, diabetes was Australia's seventh leading cause of death, accounting for 2.9% of all deaths. There were 4,967 deaths from diabetes, comprising 2,731 deaths for males and 2,236 deaths for females1.

Respiratory Disease: In 2019, respiratory disease accounted for 16,275 deaths, representing 9.6% of all deaths. Of these, there were 8,145 deaths for males and 8,130 deaths for females1.

Total deaths between ages 30 and 69: In 2019, there were 25,181 deaths from non-communicable diseases for persons aged between 30 and 69. This comprised of 15,133 deaths for males and 10,048 deaths for females.

Cancer diagnoses and age-standardised incidence rates for all types of cancer by age and sex including breast, prostate, lung and colorectal cancer.

Azerbaijan Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 27.200 % in 2019. This records a decrease from the previous number of 27.400 % for 2018. Azerbaijan Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 30.050 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 32.500 % in 2000 and a record low of 27.200 % in 2019. Azerbaijan Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].

One-year and five-year net survival for adults (15-99) in England diagnosed with one of 29 common cancers, by age and sex.

In 2019, it was estimated that around 90 percent of tracheal cancer deaths among people aged 30 years and older in the United States could be attributable to cigarette smoking. This statistic shows the proportion of cancer deaths in the United States attributable to cigarette smoking in 2019.

BackgroundResearch on the incidence, mortality, and disability-adjusted life years (DALYs) of female breast and gynecologic cancers (FeBGCs) and the relevant risk factors for adolescents and young adults (AYAs) are valuable for policy-making in China. We aimed to estimate the incidence, deaths, and DALYs and predict epidemiological trends of FeBGCs among AYAs in China between 1990 and 2019.MethodsData from the 2019 Global Burden of Disease (GBD) study between 1990 and 2019 in 195 countries and territories were retrieved. Data about the number of FeBGC incident cases, deaths, DALYs, age-standardized rates (ASRs), and estimated annual percentage changes (EAPCs) were extracted. A comparative risk assessment framework was performed to estimate the risk factors attributable to breast cancer deaths and DALYs, and autoregressive integrated moving average (ARIMA) models were fitted for time-series analysis to predict female cancer morbidity and mortality among Chinese AYAs until 2030.ResultsIn 2019, there are 61,038 incidence cases, 8,944 deaths, and 529,380 DALYs of FeBGCs among the AYAs in China, respectively. The estimated annual percentage change (EAPC) values were positive scores (>0) in ASIRs and negative scores (

Ovarian cancer is one of the most lethal gynecological cancers. Despite diagnosis and treatment advances, survival rates have not increased over the past 30 years. This study estimated and reported the global burden of ovarian cancer during the past 30 years to inform preventative and control strategies. We examined ovarian cancer incidence, mortality, and disability-adjusted life years (DALYs) using age-standardized rates from the Global Burden of Disease, Injuries, and Risk Factors Study 2019. Elevated fasting plasma glucose, occupational asbestos exposure, and high body mass index were associated with death. Data are presented as averages with 95 % uncertainty intervals (UIs).Indonesia had 2961 (2077–5708) ovarian cancer cases in 2019, with 1841 (1371–3407) deaths and 65 692 (47 198–124 857) DALYs. The burden increased by 256.1 % (215.1–245.7 %) for new cases, 232.1 % (182.3 to 241.9 %) for fatalities, and 208.8 % (169.1 to 205.3 %) for DALYs. The age-standardized rate also increased from 1990 to 2019. Ovarian cancer burden increased with age but dropped in the 65+ year age group. According to the sociodemographic index, the gross domestic product per capita and the number of obstetricians and oncologic gynecologists in provinces showed different trends. Indonesian ovarian cancer rates are rising despite gynecologic oncologists in 25 of 34 provinces. These findings will help policymakers and healthcare providers identify ovarian cancer prevention and control gaps.

Central African Republic CF: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 36.000 % in 2019. This records a decrease from the previous number of 36.500 % for 2018. Central African Republic CF: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 39.250 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 41.700 % in 2000 and a record low of 36.000 % in 2019. Central African Republic CF: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].