58 datasets found
  1. Rates of the leading causes of death in the U.S. 2022

    • statista.com
    • ai-chatbox.pro
    Updated Apr 11, 2025
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    Statista (2025). Rates of the leading causes of death in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/248622/rates-of-leading-causes-of-death-in-the-us/
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    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The leading causes of death in the United States are heart disease and cancer. However, in 2022, COVID-19 was the fourth leading cause of death in the United States, accounting for around six percent of all deaths that year. In 2022, there were around 45 deaths from COVID-19 per 100,000 population.

    Cardiovascular disease

    Deaths from cardiovascular disease are more common among men than women but have decreased for both sexes over the past few decades. Coronary heart disease accounts for the highest portion of cardiovascular disease deaths in the United States, followed by stroke and high blood pressure. The states with the highest death rates from cardiovascular disease include Oklahoma, Mississippi, and Alabama. Smoking tobacco, physical inactivity, poor diet, stress, and being overweight or obese are all risk factors for developing heart disease.

    Cancer

    Although cancer is the second leading cause of death in the United States, like deaths from cardiovascular disease, deaths from cancer have decreased over the last few decades. The highest death rates from cancer come from lung cancer for both men and women. Breast cancer is the second deadliest cancer for women, while prostate cancer is the second deadliest cancer for men. West Virginia, Mississippi, and Kentucky lead the nation with the highest cancer death rates.

  2. Leading causes of death in the United States 2018-2023

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). Leading causes of death in the United States 2018-2023 [Dataset]. https://www.statista.com/statistics/1357078/leading-causes-of-death-in-the-us-time-series/
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    From 2018 to 2023, heart disease and cancer accounted for the highest share of deaths in the United States. In 2020 and 2021, COVID-19 became the third leading cause of death, accounting for around 12 percent of all deaths in 2021. However, by 2023, COVID-19 was responsible for only 1.6 percent of deaths, making it the tenth leading cause of death. This statistic shows the distribution of the 10 leading causes of death in the United States from 2018 to 2023.

  3. Leading causes of death among women in the United States 2020-2022

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Leading causes of death among women in the United States 2020-2022 [Dataset]. https://www.statista.com/statistics/233289/distribution-of-the-10-leading-causes-of-death-among-women/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the United States, the leading causes of death among women are heart disease and cancer. Heart disease and cancer are similarly the leading causes of death among U.S. men. In 2022, heart disease accounted for **** percent of all deaths among women in the United States, while cancer accounted for **** percent of deaths. COVID-19 was the third leading cause of death among both men and women in 2020 and 2021, and the fourth leading cause in 2022. Cancer among women in the U.S. The most common types of cancer among U.S. women are breast, lung and bronchus, and colon and rectum. In 2025, there were around ******* new breast cancer cases among women, compared to ******* new cases of lung and bronchus cancer. Although breast cancer is the most common form of cancer among women in the United States, lung and bronchus cancer causes the highest number of cancer deaths. In 2025, around ****** women were expected to die from lung and bronchus cancer, compared to ****** from breast cancer. Breast cancer Although breast cancer is the second most deadly form of cancer among women, rates of death have decreased over the past few decades. This decrease is possibly due to early detection, progress in therapy, and increasing awareness of risk factors. In 2023, the death rate due to breast cancer was **** per 100,000 population, compared to a rate of **** per 100,000 in the year 1990. The state with the highest rate of deaths due to breast cancer is Oklahoma, while South Dakota had the lowest rates.

  4. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  5. NCHS - Potentially Excess Deaths from the Five Leading Causes of Death

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). NCHS - Potentially Excess Deaths from the Five Leading Causes of Death [Dataset]. https://catalog.data.gov/dataset/nchs-potentially-excess-deaths-from-the-five-leading-causes-of-death
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks. Potentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths. Not all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services. Mortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map. Underlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10) Heart disease (I00-I09, I11, I13, and I20–I51) Cancer (C00–C97) Unintentional injury (V01–X59 and Y85–Y86) Chronic lower respiratory disease (J40–J47) Stroke (I60–I69) Locality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme. Benchmarks are based on the three states with the lowest age and cause-specific mortality rates. Potentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths. Users can explore three benchmarks: “2010 Fixed” is a fixed benchmark based on the best performing States in 2010. “2005 Fixed” is a fixed benchmark based on the best performing States in 2005. “Floating” is based on the best performing States in each year so change from year to year. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.

  6. Rates of the leading causes of death in the U.S. 2018-2023

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). Rates of the leading causes of death in the U.S. 2018-2023 [Dataset]. https://www.statista.com/statistics/1357085/rates-of-leading-causes-of-death-in-the-us-time-series/
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Heart disease and cancer remained the leading causes of death in the United States from 2018 to 2023. However, there have been slight changes in the 10 leading causes of death in the U.S. from 2018 to 2023. Most notable is that COVID-19 became the third leading cause of death in 2020 and 2021, but by 2023 it was the tenth leading cause. This statistic shows the rates of the 10 leading causes of death in the United States from 2018 to 2023.

  7. d

    Percent Receiving Colorectal Cancer Screenings Time Series

    • data.ore.dc.gov
    Updated Sep 9, 2024
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    City of Washington, DC (2024). Percent Receiving Colorectal Cancer Screenings Time Series [Dataset]. https://data.ore.dc.gov/datasets/percent-receiving-colorectal-cancer-screenings-time-series
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    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    City of Washington, DC
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Some racial and ethnic categories are suppressed for privacy and to avoid misleading estimates when the relative standard error exceeds 30% or the unweighted sample size is less than 50 respondents. Margins of error are estimated at the 90% confidence level.

    Data Source: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey (BRFSS) Data

    Why This Matters

    Colorectal cancer is the third leading cause of cancer death in the U.S. for men and women. Although colorectal cancer is most common among people aged 65 to 74, there has been an increase in incidences among people aged 40 to 49.

    Nationally, Black people are disproportionately likely to both have colorectal cancer and die from it. Hispanic residents, and especially those with limited English proficiency, report having the lowest rate of colorectal cancer screenings.

    Racial disparities in education, poverty, health insurance coverage, and English language proficiency are all factors that contribute to racial gaps in receiving colorectal cancer screenings. Increased colorectal cancer screening utilization has been shown to nearly erase the racial disparities in the death rate of colorectal cancer.

    The District Response

    The Colorectal Cancer Control Program (DC3C) aims to reduce colon cancer incidence and mortality by increasing colorectal cancer screening rates among District residents.

    DC Health’s Cancer and Chronic Disease Prevention Bureau works with healthcare providers to improve the use of preventative health services and provide colorectal cancer screening services.

    DC Health maintains the District of Columbia Cancer Registry (DCCR) to track cancer incidences, examine environmental substances that cause cancer, and identify differences in cancer incidences by age, gender, race, and geographical location.

  8. f

    Age-standardized incidence-based mortality rates, and annual percent changes...

    • plos.figshare.com
    xls
    Updated Sep 5, 2024
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    Saryia Adra; Yousef Alabrach; Anas Hashem; Amir Mahmoud; Amani Khalouf; Ahmed El-khapery; Ali Abdelhay; Mohamad Mansour; Batool Aldaher; Hiba Barqawi; Eman Abu-Gharbieh (2024). Age-standardized incidence-based mortality rates, and annual percent changes in primary liver cancer rates, 1978–2018. [Dataset]. http://doi.org/10.1371/journal.pone.0309465.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Saryia Adra; Yousef Alabrach; Anas Hashem; Amir Mahmoud; Amani Khalouf; Ahmed El-khapery; Ali Abdelhay; Mohamad Mansour; Batool Aldaher; Hiba Barqawi; Eman Abu-Gharbieh
    License

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

    Description

    Age-standardized incidence-based mortality rates, and annual percent changes in primary liver cancer rates, 1978–2018.

  9. Rates of the leading causes of death in the U.S. 2023

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Rates of the leading causes of death in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1612733/rates-of-leading-causes-of-death-in-the-us-time-series/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Heart disease and cancer were the leading causes of death in the United States in 2023. COVID-19 became the third leading cause of death in 2020 and 2021, but by 2023 it was the tenth leading cause. This statistic shows the rates of the 10 leading causes of death in the United States in 2023.

  10. Data from: Associations between environmental quality and mortality in the...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Associations between environmental quality and mortality in the contiguous United States 2000-2005 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/associations-between-environmental-quality-and-mortality-in-the-contiguous-united-sta-2000
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Contiguous United States, United States
    Description

    Age-adjusted mortality rates for the contiguous United States in 2000–2005 were obtained from the Wide-ranging Online Data for Epidemiologic Research system of the U.S. Centers for Disease Control and Prevention (CDC) (2015). Age-adjusted mortality rates were weighted averages of the age-specific death rates, and they were used to account for different age structures among populations (Curtin and Klein 1995). The mortality rates for counties with < 10 deaths were suppressed by the CDC to protect privacy and to ensure data reliability; only counties with ≥ 10 deaths were included in the analyses. The underlying cause of mortality was specified using the World Health Organization’s International Statistical Classification of Diseases and Related Health Problems (10th revision; ICD-10). In this study, we focused on the all-cause mortality rate (A00-R99) and on mortality rates from the three leading causes: heart disease (I00-I09, I11, I13, and I20-I51), cancer (C00-C97), and stroke (I60- I69) (Heron 2013). We excluded mortality due to external causes for all-cause mortality, as has been done in many previous studies (e.g., Pearce et al. 2010, 2011; Zanobetti and Schwartz 2009), because external causes of mortality are less likely to be related to environmental quality. We also focused on the contiguous United States because the numbers of counties with available cause-specific mortality rates were small in Hawaii and Alaska. County-level rates were available for 3,101 of the 3,109 counties in the contiguous United States (99.7%) for all-cause mortality; for 3,067 (98.6%) counties for heart disease mortality; for 3,057 (98.3%) counties for cancer mortality; and for 2,847 (91.6%) counties for stroke mortality. The EQI includes variables representing five environmental domains: air, water, land, built, and sociodemographic (2). The _domain-specific indices include both beneficial and detrimental environmental factors. The air _domain includes 87 variables representing criteria and hazardous air pollutants. The water _domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land _domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built _domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jian, Y., L. Messer, J. Jagai, K. Rappazzo, C. Gray, S. Grabich, and D. Lobdell. Associations between environmental quality and mortality in the contiguous United States 2000-2005. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(3): 355-362, (2017).

  11. Heart disease death rates in the United States in 2022, by state

    • ai-chatbox.pro
    • statista.com
    Updated May 31, 2025
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    John Elflein (2025). Heart disease death rates in the United States in 2022, by state [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstudy%2F11575%2Fobesity-and-overweight-statista-dossier%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 31, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    John Elflein
    Area covered
    United States
    Description

    In 2022, the states with the highest death rates due to heart disease were Oklahoma, Mississippi, and Alabama. That year, there were around 257 deaths due to heart disease per 100,000 population in the state of Oklahoma. In comparison, the overall death rate from heart disease in the United States was 167 per 100,000 population. The leading cause of death in the United States Heart disease is the leading cause of death in the United States, accounting for 21 percent of all deaths in 2022. That year, cancer was the second leading cause of death, followed by unintentional injuries and COVID-19. In the United States, a person has a one in six chance of dying from heart disease. Death rates for heart disease are higher among men than women, but both have seen steady decreases in heart disease death rates since the 1950s. What are risk factors for heart disease? Although heart disease is the leading cause of death in the United States, the risk of heart disease can be decreased by avoiding known risk factors. Some of the leading preventable risk factors for heart disease include smoking, heavy alcohol use, physical inactivity, an unhealthy diet, and being overweight or obese. It is no surprise that the states with the highest rates of death from heart disease are also the states with the highest rates of heart disease risk factors. For example, Oklahoma, the state with the highest heart disease death rate, is also the state with the third-highest rate of obesity. Furthermore, Mississippi is the state with the highest levels of physical inactivity, and it has the second-highest heart disease death rate in the United States.

  12. f

    DataSheet_1_Cause of Death Among Patients With Thyroid Cancer: A...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Qian Wang; Zhen Zeng; Junjie Nan; Yongqiang Zheng; Huanbing Liu (2023). DataSheet_1_Cause of Death Among Patients With Thyroid Cancer: A Population-Based Study.docx [Dataset]. http://doi.org/10.3389/fonc.2022.852347.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Qian Wang; Zhen Zeng; Junjie Nan; Yongqiang Zheng; Huanbing Liu
    License

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

    Description

    BackgroundOver the last decades, the number of patients diagnosed with thyroid carcinoma has been increasing, highlighting the importance of comprehensively evaluating causes of death among these patients. This study aimed to comprehensively characterize the risk of death and causes of death in patients with thyroid carcinoma.MethodsA total of 183,641 patients diagnosed with an index thyroid tumor were identified from the Surveillance, Epidemiology, and End Result database (1975–2016). Standardized mortality rates (SMRs) for non-cancer deaths were calculated to evaluate mortality risk and to compare mortality risks with the cancer-free US population. Cumulative mortality rates were calculated to explore the factors associated with higher risk of deaths.ResultsThere were 22,386 deaths recorded during follow-up, of which only 31.0% were due to thyroid cancer and 46.4% due to non-cancer causes. Non-cancer mortality risk among patients with thyroid cancer was nearly 1.6-fold (SMR=1.59) that of the general population. Cardiovascular diseases were the leading cause of non-cancer deaths, accounting for 21.3% of all deaths in thyroid cancer patients. Non-cancer causes were the dominant cause of death in thyroid cancer survivors as of the third year post-diagnosis. We found that males with thyroid cancer had a higher risk of all-cause mortality compared with females. The risk of suicide was highest in the first post-diagnostic year (5 years: SMR=8.27).ConclusionNon-cancer comorbidities have become the major risks of death in patients with thyroid tumor in the US, as opposed to death from the tumor itself. Clinicians and researchers should be aware of these risk trends in order to conduct timely intervention strategies.

  13. Data from: County-level cumulative environmental quality associated with...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). County-level cumulative environmental quality associated with cancer incidence. [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/county-level-cumulative-environmental-quality-associated-with-cancer-incidence
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Population based cancer incidence rates were abstracted from National Cancer Institute, State Cancer Profiles for all available counties in the United States for which data were available. This is a national county-level database of cancer data that are collected by state public health surveillance systems. All-site cancer is defined as any type of cancer that is captured in the state registry data, though non-melanoma skin cancer is not included. All-site age-adjusted cancer incidence rates were abstracted separately for males and females. County-level annual age-adjusted all-site cancer incidence rates for years 2006–2010 were available for 2687 of 3142 (85.5%) counties in the U.S. Counties for which there are fewer than 16 reported cases in a specific area-sex-race category are suppressed to ensure confidentiality and stability of rate estimates; this accounted for 14 counties in our study. Two states, Kansas and Virginia, do not provide data because of state legislation and regulations which prohibit the release of county level data to outside entities. Data from Michigan does not include cases diagnosed in other states because data exchange agreements prohibit the release of data to third parties. Finally, state data is not available for three states, Minnesota, Ohio, and Washington. The age-adjusted average annual incidence rate for all counties was 453.7 per 100,000 persons. We selected 2006–2010 as it is subsequent in time to the EQI exposure data which was constructed to represent the years 2000–2005. We also gathered data for the three leading causes of cancer for males (lung, prostate, and colorectal) and females (lung, breast, and colorectal). The EQI was used as an exposure metric as an indicator of cumulative environmental exposures at the county-level representing the period 2000 to 2005. A complete description of the datasets used in the EQI are provided in Lobdell et al. and methods used for index construction are described by Messer et al. The EQI was developed for the period 2000– 2005 because it was the time period for which the most recent data were available when index construction was initiated. The EQI includes variables representing each of the environmental domains. The air _domain includes 87 variables representing criteria and hazardous air pollutants. The water _domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land _domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built _domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Jagai, J., L. Messer, K. Rappazzo , C. Gray, S. Grabich , and D. Lobdell. County-level environmental quality and associations with cancer incidence#. Cancer. John Wiley & Sons Incorporated, New York, NY, USA, 123(15): 2901-2908, (2017).

  14. Reminding Patients of the Important of Colorectal Cancer Screening Results...

    • data.niaid.nih.gov
    xml
    Updated Nov 15, 2008
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    (2008). Reminding Patients of the Important of Colorectal Cancer Screening Results in Patient-Initiated Promoting Colorectal Cancer Screening Via Colonoscopy [Dataset]. https://data.niaid.nih.gov/resources?id=2119839
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    xmlAvailable download formats
    Dataset updated
    Nov 15, 2008
    Area covered
    United States
    Variables measured
    Clinical
    Description

    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

  15. Leading causes of death among teenagers aged 15-19 years in the United...

    • statista.com
    • ai-chatbox.pro
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among teenagers aged 15-19 years in the United States 2020-22 [Dataset]. https://www.statista.com/statistics/1017959/distribution-of-the-10-leading-causes-of-death-among-teenagers/
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2022, the third leading cause of death among teenagers aged 15 to 19 years in the United States was intentional self-harm or suicide, contributing around 17 percent of deaths among age group. The leading cause of death at that time was unintentional injuries, contributing to around 37.4 percent of deaths, while 21.8 percent of all deaths in this age group were due to assault or homicide. Cancer and heart disease, the overall leading causes of death in the United States, are also among the leading causes of death among U.S. teenagers. Adolescent suicide in the United States In 2021, around 22 percent of students in grades 9 to 12 reported that they had seriously considered attempting suicide in the past year. Female students were around twice as likely to report seriously considering suicide compared to male students. In 2022, Montana had the highest rate of suicides among U.S. teenagers with around 39 deaths per 100,000 teenagers, followed by South Dakota with a rate of 33 per 100,000. The states with the lowest death rates among adolescents are New York and New Jersey. Mental health treatment Suicidal thoughts are a clear symptom of mental health issues. Mental health issues are not rare among children and adolescents, and treatment for such issues has become increasingly accepted and accessible. In 2021, around 15 percent of boys and girls aged 5 to 17 years had received some form of mental health treatment in the past year. At that time, around 35 percent of youths aged 12 to 17 years in the United States who were receiving specialty mental health services were doing so because they had thought about killing themselves or had already tried to kill themselves.

  16. Leading causes of death among children aged 10-14 years in the United States...

    • ai-chatbox.pro
    • statista.com
    Updated Dec 13, 2024
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    Statista (2024). Leading causes of death among children aged 10-14 years in the United States 2020-22 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1017954%2Fdistribution-of-the-10-leading-causes-of-death-among-children-ten-to-fourteen%2F%23XgboD02vawLbpWJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the leading causes of death among children and adolescents in the United States aged 10 to 14 were unintentional injuries, intentional self-harm (suicide), and cancer. That year, unintentional injuries accounted for around 25 percent of all deaths among this age group. Leading causes of death among older teens Like those aged 10 to 14 years, the leading cause of death among older teenagers in the U.S. aged 15 to 19 years is unintentional injuries. In 2022, unintentional injuries accounted for around 37 percent of all deaths among older teens. However, unlike those aged 10 to 14, the second leading cause of death among teens aged 15 to 19 is assault or homicide. Sadly, the third leading cause of death among this age group is suicide, making suicide among the leading three causes of death for both age groups. Teen suicide Suicide remains a major problem among teenagers in the United States, as reflected in the leading causes of death among this age group. It was estimated that in 2021, around 22 percent of high school students in the U.S. considered attempting suicide in the past year, with this rate twice as high for girls than for boys. The states with the highest death rates due to suicide among adolescents aged 15 to 19 years are Montana, South Dakota, and New Mexico. In 2022, the death rate from suicide among this age group in Montana was 39 per 100,000 population. In comparison, New York, the state with the lowest rate, had just five suicide deaths among those aged 15 to 19 years per 100,000 population.

  17. o

    A Pilot Study of 18F-DCFBC PET/CT in Prostate Cancer

    • explore.openaire.eu
    Updated Jul 12, 2014
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    Maria Liza Lindenberg (2014). A Pilot Study of 18F-DCFBC PET/CT in Prostate Cancer [Dataset]. https://explore.openaire.eu/search/dataset?datasetId=opentrials_::2abc5c22de846d29d44ee7e41cc5ef54
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    Dataset updated
    Jul 12, 2014
    Authors
    Maria Liza Lindenberg
    Description

    Background - Prostate cancer is the second leading cause of cancer deaths in American men. - Current methods of imaging advanced prostate cancer (CT and bone scan) are non specific and new, more specific molecular imaging probes are sought. - Many prostate cancers express the prostate specific membrane antigen (PSMA) a transmembrane protein with NAALADase enzymatic activity. PSMA is also expressed in angiogenesis but otherwise has limited expression in normal tissue. - 18F-DCFBC is a radiolabeled PET agent which binds with high affinity to PSMA and through whole-body non-invasive functional imaging, may provide new information on the expression of PSMA. Primary Objective - To assess the ability of 18F-DCFBC to differentiate between tumorous and nontumorous tissues in localized, recurrent (based on rising PSA post treatment) and metastatic prostate cancer Eligibility - Subject is greater than or equal to 18 years old - ECOG 0-2 with adenocarcinoma of the prostate and fits criteria for one of the following: - ARM 1 -- Patients with known localized prostate cancer with a soft tissue lesion at least 6mm or greater. ---A multiparametric MRI (standard of care at the NIH Clinical Center) must be performed within 4 months of18F-DCFBC injection with findings suggestive for prostate cancer and confirmed with histopathology. - ARM 2 - Patients with biochemical prostate cancer relapse after definitive treatment - For patients status post radiation therapy for prostate cancer, a PSA increase from post radiation therapy nadir - OR - For patients status post prostatectomy, any PSA >/=0.2 ng/ml - Nonspecific or no evidence for disease on standard imaging modality - ARM 3 - Patients with identifiable metastatic disease on a conventional imaging modality. If only soft tissue metastasis, one lesion must measure 6mm or greater. Patients must have confirmation of prostate cancer prior to 18F-DCFBCimaging. Design This is a single site 3-arm study enrolling a total of 110 evaluable patients: Arm 1 will include 12 patients with presumed localized prostate cancer scheduled to undergo prostatectomy or biopsy within 4 months of enrollment; Arm 2 will include 78 patients with biochemical recurrence without evidence of metastasis on conventional imaging; and Arm 3 will include 20 patients with known metastatic disease who may or may not be on or/scheduled to begin therapeutic intervention. Patients with presumed localized disease will undergo a standard of care, clinical multiparametric endorectal coil MRI in the NCI Molecular Imaging Clinic within 4 months of screening. Patients in Arm 3 will undergo 2 imaging sessions: baseline and 4-6 month follow-up. Clinical records (including PSA) and treatment (if any) that occurred in the imaging interval must be available. All patients in Arm 3 will also undergo Na18F PET/CT for evaluation of bone metastases as part of this protocol. In order to allow for a small number of nonevaluable patients, the accrual ceiling will be set at 125. Background: - Prostate cancer is the second leading cause of cancer deaths in American men. A chemical called a radiotracer helps doctors get images of this type of cancer. Researchers want to test a radiotracer called 18F-DCFBC. Objective: - To see if the radiotracer 18F-DCFBC can identify sites of prostate cancer in the body. Eligibility: - Men ages 18 and over with prostate cancer. The cancer must be newly diagnosed, have relapsed, or has spread outside the prostate. Design: - Participants will be screened with physical exam and medical history. They will give a blood sample. - Participants will be divided into three groups. Group 1: people with cancer only in the prostate scheduled for surgical prostate removal or biopsy at NIH. Group 2: people who had their prostate removed or had radiation therapy and now have a rising prostate-specific antigen (PSA) without other signs of disease. Group 3: people whose cancer has spread to other areas of the body. - Participants will have 18F-DCFBC injected into a vein then imaged in a PET/CT camera. During the scans, they will lie on their back on the scanner table. - Group 1 will have a magnetic resonance imaging (MRI) scan. A tube will be placed in the rectum. Coils may be wrapped around the outside of the pelvis. Participants will have a contrast agent injected through an intravenous line. - Group 3 will have another PET/CT scan with a different radiotracer, 18F NaF, within 21 days of the 18F-DCFBC scan to look for prostate cancer in the bone. - Group 3 will repeat the two PET/CT scans 4-6 months after the initial scans. - A few days after each scan, participants will be contacted for follow-up.

  18. c

    Global Lung Cancer Therapeutics Market Report 2025 Edition, Market Size,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 16, 2024
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    Cognitive Market Research (2024). Global Lung Cancer Therapeutics Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/lung-cancer-therapeutics-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to cognitive market research, the global lung cancer therapeutics market size was valued at USD xx billion in 2024 and is expected to reach USD xx billion at a CAGR of xx% during the forecast period.

    The lungs are two spongy organs in the chest that control breathing. Lung cancer is the leading cause of cancer deaths worldwide. People who smoke have the greatest risk of lung cancer. The risk of lung cancer increases with the length of time and number of cigarettes smoked.
    The market is anticipated to expand over the forecast period as a result of the high disease incidence rate and the rising number of drug approvals
    The chemotherapy segment dominated the lung cancer therapeutics market revenue in 2024 and is projected to be the fastest-growing segment during the forecast period. Chemotherapy goes throughout the entire body for tumor cells, whereas radiation and surgery target a single region of the body.
    Moreover, this market dominance is a result of consumers' growing propensity to buy pharmaceuticals from hospital pharmacies due to the availability of a large variety of medicines.
    There are numerous products involved in the procedure of lung cancer therapeutics, which makes it costlier. Furthermore, the high maintenance cost of the instruments adds up to the total cost.
    

    Market Dynamics of the Lung Cancer Therapeutics

    Key Drivers of the Lung Cancer Therapeutics

    The strong prevalence of lung cancer is notably driving market growth.
    

    One of the most prevalent forms of cancer is lung cancer. Several reasons, including the aging population and lifestyle changes, have contributed to a notable increase in the number of new instances of cancer, particularly lung cancer, in recent years. In the United States, 6.2% of the population is at risk of developing lung cancer. Lung cancer still has a very high death rate, even with recent declines in the rate, which presents a market potential for suppliers. The market is anticipated to expand over the forecast period as a result of the high disease incidence rate and the rising number of drug approvals. • For instance, according to the 2022 report by the American Lung Association, while the disease remains the leading cause of cancer deaths among women and men, the survival rate over the past five years has increased from 21% nationally to 25% yet remains significantly lower among communities of color at 20%. Hence, the increasing prevalence of cancer and the need for effective treatment is likely to contribute to market growth. (Source:https://www.lung.org/research/state-of-lung-cancer/key-findings)

    Rising pollution due to rapid industrialization increases the incidences of lung cancer
    

    Air pollution (outdoor and indoor particulate matter and ozone) is closely linked to the rising prevalence of heart disease and strokes, lung cancer, lower respiratory infections, diabetes, and chronic obstructive pulmonary disease (COPD). The Global Burden of Disease Study Report (2019) ranks air pollution as the third leading cause of death worldwide. Globally, air pollution is responsible for 6.82 million deaths annually, of which 33% are caused by interior pollution and 66% by outdoor pollution. • For instance, According to the conference organized by the Associated Chambers of Commerce and Industry of India (ASSOCHAM), ‘Lung Cancer- Awareness, Prevention, Challenges & Treatment’, air pollution is the leading cause of the rise of lung cancer in the country. Around 63 out of the 100 most polluted places on earth belong to India. (Source:https://www.assocham.org/press-release-page.php?release-name=air-pollution-is-the-major-cause-of-lung-cancer-in-india-say-health-experts)

    Restraints of the Lung Cancer Therapeutics

    Regional disparities in treatment will hamper the market for lung cancer therapeutics
    

    Lung cancer is the most prevalent cause of cancer-related deaths globally, and its impact is particularly felt in lower- and middle-income countries (LMICs), where access to early and effective diagnosis and treatment is often restricted. WHO data show that whereas 90% of cancer patients in high-income countries have access to therapy, only roughly 30% of cancer patients in low-income countries do. There are numerous products involved in the procedure of lung cancer therapeutics, which makes it costlier. Furthermore, the high maintenance cost of the i...

  19. c

    Global Targeted Cancer Drugs Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Apr 21, 2025
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    Cognitive Market Research (2025). Global Targeted Cancer Drugs Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/targeted-cancer-drugs-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research , the global Targeted Cancer Drugs Market size will be XX million by 2033, whereas its compound annual growth rate (CAGR) will be XX% from 2025 to 2033. • North America held the largest share of the global Targeted Cancer Drugs market around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2025 to 2033. • Asia Pacific held a market share of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2025 to 2033. • Europe accounted for a share of over XX% of the global market size of USD XX million. • The Latin American market is around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2025 to 2033. • Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of XX% from 2025 to 2033. Market Dynamics of the Targeted Cancer Drugs Market

    Key Drivers of the Targeted Cancer Drugs Market

    Rising incidence of cancer enhances the targeted cancer drugs market growth
    

    Tobacco use, high body mass index, alcohol usage, low intake of fruits and vegetables, and lack of physical activity are responsible for about one-third of cancer-related risk. Furthermore, one significant risk factor for lung cancer is air pollution. About 30% of cancer cases in low- and lower-middle-income nations are caused by diseases that cause cancer, such as hepatitis and the human papillomavirus (HPV). How frequently a cancer arises (incidence) and how long people typically live after being diagnosed (survival) are the two factors that determine cancer prevalence. This indicates that the most prevalent malignancies with the longest survival have the highest prevalence counts. Compared to a less common cancer with a longer survival, a common cancer with a shorter survival may have a lower prevalence count. For instance, according to the American Cancer Society 2023, non-Hodgkin lymphoma, a less common cancer, has a higher prevalence rate than lung cancer, despite lung cancer being one of the most common malignancies in the US. There are more persons living after a diagnosis of non-Hodgkin lymphoma than after a diagnostic of lung cancer because those with non-Hodgkin lymphoma have a higher chance of surviving longer than those with lung cancer. There were 1,777,566 new cases of cancer reported in the US in 2021. An estimated 608,366 Americans lost their lives to cancer in 2022. https://www.cdc.gov/cancer/data/index.html In the twenty-first century, cancer is a significant social, public health, and economic issue, accounting for about one in six fatalities (16.8%) and one in four deaths (22.8%) from noncommunicable diseases (NCDs) globally. Three out of ten premature deaths worldwide are caused by NCDs (30.3% in people aged 30 to 69), and in 177 out of 183 nations, it ranks among the top three causes of death for this age group. Apart from being a significant hindrance to extending life expectancy, cancer is linked to significant societal and macroeconomic expenses, which differ in extent depending on the type of cancer, location, and gender. For instance, according to International Agency for Research on Cancer in 2022, there were about 20 million new cases of cancer, including nonmelanoma skin cancers (NMSCs), and 9.7 million cancer-related deaths. According to estimates, one in five men and women will get cancer at some point in their lives, while one in nine men and one in twelve women will pass away from the disease. With about 2.5 million new cases, or one in eight cancers worldwide (12.4% of all cancers), lung cancer was the most commonly diagnosed cancer in 2022. It was followed by stomach (4.9%), colorectum (9.6%), prostate (7.3%), and female breast (11.6%) cancers. With an anticipated 1.8 million deaths (18.7%), lung cancer was also the most common cause of cancer-related mortality. Colorectal (9.3%), liver (7.8%), female breast (6.9%), and stomach (6.8%) cancers were next in line. The two most common cancers in both men and women were lung and breast cancer. https://acsjournals.onlinelibrary.wile...

  20. Liver Cancer Drugs Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Apr 15, 2025
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    Technavio (2025). Liver Cancer Drugs Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), Middle East and Africa , APAC (China, India, Japan, South Korea), South America , and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/liver-cancer-drugs-market-industry-analysis
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    Dataset updated
    Apr 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Liver Cancer Drugs Market Size 2025-2029

    The liver cancer drugs market size is forecast to increase by USD 3.87 billion at a CAGR of 10.7% between 2024 and 2029.

    The market is experiencing significant growth due to the increasing incidence of liver cancer worldwide. According to the World Health Organization, liver cancer is the sixth most common cancer and the third leading cause of cancer-related deaths globally. Despite advances in diagnosis and treatment methods, the only curative options for liver cancer remain surgical resection and transplantation. Consequently, there is a pressing need for effective and innovative drug therapies to improve patient outcomes and reduce mortality rates. A key trend driving market growth is the increasing use of monoclonal antibodies in the development of liver cancer drugs.
    Furthermore, the biomarkers and their role in diagnosis and treatment is a developing trend in the market. Type 2 diabetes, a condition that increases the risk, is also a key factor driving market growth. Monoclonal antibodies are proteins that can recognize and bind to specific targets on cancer cells, making them effective agents for targeted therapy. Several pharmaceutical companies are investing heavily in the research and development of monoclonal antibody-based drugs for liver cancer, offering significant opportunities for market growth. However, the market is not without challenges. The high cost of developing and manufacturing these drugs, as well as the complex regulatory environment, can pose significant barriers to entry. Additionally, the lack of effective treatment options for advanced-stage liver cancer and the need for personalized treatment approaches present significant challenges for market players.
    

    What will be the Size of the Liver Cancer Drugs Market during the forecast period?

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    In the complex and evolving landscape of liver cancer treatment, several key trends are shaping the market. Disease management strategies, such as CTLA-4 inhibitors and combination therapy, are gaining traction alongside immune checkpoint inhibitors. The integration of digital health solutions, including mobile health and clinical decision support, is transforming healthcare outcomes while reducing costs. Precision oncology, value-based healthcare, and personalized treatment plans are becoming increasingly important, as are drug delivery systems and targeted therapies like vegf inhibitors and monoclonal antibodies. Moreover, the adoption of advanced technologies like stereotactic radiosurgery, kinase inhibitors, and PD-1 inhibitors is reshaping the treatment landscape.
    The role of patient engagement, satisfaction, and empowerment in liver cancer care is also growing, with the use of health data analytics, cost-effectiveness analysis, and patient outcomes becoming essential factors in treatment decisions. In the realm of end-of-life care, palliative care and hospice care are increasingly being recognized for their importance in improving patient quality of life. Furthermore, the integration of genetics testing, liquid biopsy, and MTor inhibitors into treatment plans is helping healthcare providers address tumor heterogeneity and optimize treatment strategies. As the market for liver cancer drugs continues to evolve, the focus on cost-effectiveness, patient outcomes, and value-added services will remain key drivers. The integration of digital health, precision oncology, and patient-centric care will continue to shape the market, providing new opportunities for innovation and growth.
    

    How is this Liver Cancer Drugs Industry segmented?

    The liver cancer drugs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Immunotherapy
      Targeted therapy
    
    
    Drug Class
    
      Targeted therapy drugs
      Immunotherapy drugs
      Chemotherapeutics
      Others
    
    
    Route Of Administration
    
      Oral
      Injectable
      Others
    
    
    Distribution Channel
    
      Hospital pharmacies
      Retail pharmacies
      Online pharmacies
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
    
    
      Rest of World (ROW)
    

    By Type Insights

    The immunotherapy segment is estimated to witness significant growth during the forecast period. Immunotherapy, a revolutionary cancer treatment, leverages the body's immune system to identify and eradicate malignant cells, contrasting traditional treatments that directly attack tumors. The immunotherapy market for liver cancer is driven by several factors, including the escalating incidence of liver cancer, advancements in biotechnology, and a deeper comprehension of tumor imm

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Statista (2025). Rates of the leading causes of death in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/248622/rates-of-leading-causes-of-death-in-the-us/
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Rates of the leading causes of death in the U.S. 2022

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United States
Description

The leading causes of death in the United States are heart disease and cancer. However, in 2022, COVID-19 was the fourth leading cause of death in the United States, accounting for around six percent of all deaths that year. In 2022, there were around 45 deaths from COVID-19 per 100,000 population.

Cardiovascular disease

Deaths from cardiovascular disease are more common among men than women but have decreased for both sexes over the past few decades. Coronary heart disease accounts for the highest portion of cardiovascular disease deaths in the United States, followed by stroke and high blood pressure. The states with the highest death rates from cardiovascular disease include Oklahoma, Mississippi, and Alabama. Smoking tobacco, physical inactivity, poor diet, stress, and being overweight or obese are all risk factors for developing heart disease.

Cancer

Although cancer is the second leading cause of death in the United States, like deaths from cardiovascular disease, deaths from cancer have decreased over the last few decades. The highest death rates from cancer come from lung cancer for both men and women. Breast cancer is the second deadliest cancer for women, while prostate cancer is the second deadliest cancer for men. West Virginia, Mississippi, and Kentucky lead the nation with the highest cancer death rates.

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