Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010
TL;DR: Prevalence and severity of health loss were weakly correlated and age-specific prevalence of YLDs increased with age in all regions and has decreased slightly from 1990 to 2010, but population growth and ageing have increased YLD numbers and crude rates over the past two decades.
About: This article is published in The Lancet.The article was published on 2012-12-15 and is currently open access. It has received 7021 citations till now. The article focuses on the topics: Years of potential life lost & Global health.
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TL;DR: Evidence of progressive increases in overall burden, incidence, prevalence, and AF-associated mortality between 1990 and 2010 is provided, with significant public health implications.
Abstract: Background— The global burden of atrial fibrillation (AF) is unknown. Methods and Results— We systematically reviewed population-based studies of AF published from 1980 to 2010 from the 21 Global Burden of Disease regions to estimate global/regional prevalence, incidence, and morbidity and mortality related to AF (DisModMR software). Of 377 potential studies identified, 184 met prespecified eligibility criteria. The estimated number of individuals with AF globally in 2010 was 33.5 million (20.9 million men [95% uncertainty interval (UI), 19.5–22.2 million] and 12.6 million women [95% UI, 12.0–13.7 million]). Burden associated with AF, measured as disability-adjusted life-years, increased by 18.8% (95% UI, 15.8–19.3) in men and 18.9% (95% UI, 15.8–23.5) in women from 1990 to 2010. In 1990, the estimated age-adjusted prevalence rates of AF (per 100 000 population) were 569.5 in men (95% UI, 532.8–612.7) and 359.9 in women (95% UI, 334.7–392.6); the estimated age-adjusted incidence rates were 60.7 per 100 000 person-years in men (95% UI, 49.2–78.5) and 43.8 in women (95% UI, 35.9–55.0). In 2010, the prevalence rates increased to 596.2 (95% UI, 558.4–636.7) in men and 373.1 (95% UI, 347.9–402.2) in women; the incidence rates increased to 77.5 (95% UI, 65.2–95.4) in men and 59.5 (95% UI, 49.9–74.9) in women. Mortality associated with AF was higher in women and increased by 2-fold (95% UI, 2.0–2.2) and 1.9-fold (95% UI, 1.8–2.0) in men and women, respectively, from 1990 to 2010. There was evidence of significant regional heterogeneity in AF estimations and availability of population-based data. Conclusions— These findings provide evidence of progressive increases in overall burden, incidence, prevalence, and AF-associated mortality between 1990 and 2010, with significant public health implications. Systematic, regional surveillance of AF is required to better direct prevention and treatment strategies.
3,443 citations
Auckland University of Technology1, Institute for Health Metrics and Evaluation2, National Institutes of Health3, Clinical Trial Service Unit4, Columbia University Medical Center5, University of Miami6, Washington State Institute for Public Policy7, Copenhagen University Hospital8, National University of Ireland, Galway9, National University of Singapore10, University of Auckland11, Capital Medical University12, Imperial College London13
TL;DR: Regional and country-specific estimates of stroke incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) lost by age group and country income level are calculated, to improve understanding of stroke determinants and burden worldwide.
3,127 citations
TL;DR: This study provides the first comparison of the prevalence of peripheral artery disease between high-income countries (HIC) and low-income or middle- income countries (LMIC), establishes the primary risk factors for peripheral artery diseases in these settings, and estimates the number of people living with peripheral artery Disease regionally and globally.
2,529 citations
Royal North Shore Hospital1, University of Queensland2, Charité3, University of Melbourne4, University of Sydney5, University of Western Sydney6, University of Lorraine7, University of Adelaide8, Menzies Research Institute9, Monash University10, Deakin University11, Institute for Health Metrics and Evaluation12, Royal Cornwall Hospital13
TL;DR: In this article, the global burden of hip and knee OA was estimated as part of the Global Burden of Disease 2010 study and the burden of OA compared with other conditions.
Abstract: Objective To estimate the global burden of hip and knee osteoarthritis (OA) as part of the Global Burden of Disease 2010 study and to explore how the burden of hip and knee OA compares with other conditions. Methods Systematic reviews were conducted to source age-specific and sex-specific epidemiological data for hip and knee OA prevalence, incidence and mortality risk. The prevalence and incidence of symptomatic, radiographic and self-reported hip or knee OA were included. Three levels of severity were defined to derive disability weights (DWs) and severity distribution (proportion with mild, moderate and severe OA). The prevalence by country and region was multiplied by the severity distribution and the appropriate disability weight to calculate years of life lived with disability (YLDs). As there are no deaths directly attributed to OA, YLDs equate disability-adjusted life years (DALYs). Results Globally, of the 291 conditions, hip and knee OA was ranked as the 11th highest contributor to global disability and 38th highest in DALYs. The global age-standardised prevalence of knee OA was 3.8% (95% uncertainty interval (UI) 3.6% to 4.1%) and hip OA was 0.85% (95% UI 0.74% to 1.02%), with no discernible change from 1990 to 2010. Prevalence was higher in females than males. YLDs for hip and knee OA increased from 10.5 million in 1990 (0.42% of total DALYs) to 17.1 million in 2010 (0.69% of total DALYs). Conclusions Hip and knee OA is one of the leading causes of global disability. Methodological issues within this study make it highly likely that the real burden of OA has been underestimated. With the aging and increasing obesity of the world9s population, health professions need to prepare for a large increase in the demand for health services to treat hip and knee OA.
2,440 citations
University of Washington1, Institute for Health Metrics and Evaluation2, Iran University of Medical Sciences3, King's College London4, Arabian Gulf University5, University of North Texas6, Auckland University of Technology7, Alaska Native Tribal Health Consortium8, Columbia University9, Wuhan University10, Imperial College London11, University of Alabama at Birmingham12, University at Albany, SUNY13, City University of New York14, University of California, San Francisco15, Griffith University16, Environment Agency17, New York University18, Southern University College19, Emory University20, University of Ottawa21, Kosin University22, University of Toronto23, University of British Columbia24, United Arab Emirates University25, Albert Einstein College of Medicine26, University of São Paulo27, Nova Southeastern University28, University of Sydney29, Heidelberg University30, Case Western Reserve University31, Cancer Treatment Centers of America32, University of Oxford33, George Mason University34, James Cook University35, University of Trieste36, University of Calgary37, Wageningen University and Research Centre38, University of Gothenburg39, University of the Witwatersrand40, Harvard University41, Jackson State University42, University of Arizona43, University of Hong Kong44, Tehran University of Medical Sciences45, University of Western Australia46, Aintree University Hospitals NHS Foundation Trust47, Veterans Health Administration48, University of Colorado Denver49, Royal Children's Hospital50, University of Melbourne51, Australian National University52, University of Marburg53, Charité54, Health Canada55, College of Health Sciences, Bahrain56, Karolinska Institutet57, Northumbria University58, University of Edinburgh59, National Research University – Higher School of Economics60, Queen Mary University of London61, Addis Ababa University62, Northwestern University63, Northeastern University64, Mario Negri Institute for Pharmacological Research65, Arak University of Medical Sciences66, University of Nottingham67, University of Tokyo68, Public Health Foundation of India69, University of Groningen70, University of the Philippines Manila71, University of Bologna72, Kyung Hee University73, Brighton and Sussex Medical School74, University of Bergen75, Stavanger University Hospital76, University of Queensland77, National Centre for Disease Control78, University of Sheffield79, Universidad Autónoma Metropolitana80, University College London81, Genentech82, Universiti Tunku Abdul Rahman83, Norwegian Institute of Public Health84
TL;DR: To estimate mortality, incidence, years lived with disability, years of life lost, and disability-adjusted life-years for 28 cancers in 188 countries by sex from 1990 to 2013, the general methodology of the Global Burden of Disease 2013 study was used.
Abstract: Importance Cancer is among the leading causes of death worldwide. Current estimates of cancer burden in individual countries and regions are necessary to inform local cancer control strategies. Objective To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 28 cancers in 188 countries by sex from 1990 to 2013. Evidence Review The general methodology of the Global Burden of Disease (GBD) 2013 study was used. Cancer registries were the source for cancer incidence data as well as mortality incidence (MI) ratios. Sources for cause of death data include vital registration system data, verbal autopsy studies, and other sources. The MI ratios were used to transform incidence data to mortality estimates and cause of death estimates to incidence estimates. Cancer prevalence was estimated using MI ratios as surrogates for survival data; YLDs were calculated by multiplying prevalence estimates with disability weights, which were derived from population-based surveys; YLLs were computed by multiplying the number of estimated cancer deaths at each age with a reference life expectancy; and DALYs were calculated as the sum of YLDs and YLLs. Findings In 2013 there were 14.9 million incident cancer cases, 8.2 million deaths, and 196.3 million DALYs. Prostate cancer was the leading cause for cancer incidence (1.4 million) for men and breast cancer for women (1.8 million). Tracheal, bronchus, and lung (TBL) cancer was the leading cause for cancer death in men and women, with 1.6 million deaths. For men, TBL cancer was the leading cause of DALYs (24.9 million). For women, breast cancer was the leading cause of DALYs (13.1 million). Age-standardized incidence rates (ASIRs) per 100 000 and age-standardized death rates (ASDRs) per 100 000 for both sexes in 2013 were higher in developing vs developed countries for stomach cancer (ASIR, 17 vs 14; ASDR, 15 vs 11), liver cancer (ASIR, 15 vs 7; ASDR, 16 vs 7), esophageal cancer (ASIR, 9 vs 4; ASDR, 9 vs 4), cervical cancer (ASIR, 8 vs 5; ASDR, 4 vs 2), lip and oral cavity cancer (ASIR, 7 vs 6; ASDR, 2 vs 2), and nasopharyngeal cancer (ASIR, 1.5 vs 0.4; ASDR, 1.2 vs 0.3). Between 1990 and 2013, ASIRs for all cancers combined (except nonmelanoma skin cancer and Kaposi sarcoma) increased by more than 10% in 113 countries and decreased by more than 10% in 12 of 188 countries. Conclusions and Relevance Cancer poses a major threat to public health worldwide, and incidence rates have increased in most countries since 1990. The trend is a particular threat to developing nations with health systems that are ill-equipped to deal with complex and expensive cancer treatments. The annual update on the Global Burden of Cancer will provide all stakeholders with timely estimates to guide policy efforts in cancer prevention, screening, treatment, and palliation.
2,375 citations
References
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TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.
11,809 citations
Book•
31 Dec 1997
TL;DR: The aim of this study was to establish a database of histological groups and to provide a level of consistency and quality of data that could be applied in the design of future registries.
Abstract: 1. Techniques of registration 2. Classification and coding 3. Histological groups 4. Comparability and quality of data 5. Data processing 6. Age-standardization 7. Incidence data by site and sex for each registry 8. Summary tables presenting age-standardized rates 9. Data on histological type for selected sites
10,160 citations
TL;DR: Notably, major depressive disorder is a common disorder, widely distributed in the population, and usually associated with substantial symptom severity and role impairment, and while the recent increase in treatment is encouraging, inadequate treatment is a serious concern.
Abstract: ContextUncertainties exist about prevalence and correlates of major depressive
disorder (MDD).ObjectiveTo present nationally representative data on prevalence and correlates
of MDD by Diagnostic and Statistical Manual of Mental Disorders,
Fourth Edition (DSM-IV) criteria, and on study
patterns and correlates of treatment and treatment adequacy from the recently
completed National Comorbidity Survey Replication (NCS-R).DesignFace-to-face household survey conducted from February 2001 to December
2002.SettingThe 48 contiguous United States.ParticipantsHousehold residents ages 18 years or older (N = 9090) who responded
to the NCS-R survey.Main Outcome MeasuresPrevalence and correlates of MDD using the World Health Organization's
(WHO) Composite International Diagnostic Interview (CIDI), 12-month severity
with the Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR),
the Sheehan Disability Scale (SDS), and the WHO disability assessment scale
(WHO-DAS). Clinical reinterviews used the Structured Clinical Interview for DSM-IV.ResultsThe prevalence of CIDI MDD for lifetime was 16.2% (95% confidence interval
[CI], 15.1-17.3) (32.6-35.1 million US adults) and for 12-month was 6.6% (95%
CI, 5.9-7.3) (13.1-14.2 million US adults). Virtually all CIDI 12-month cases
were independently classified as clinically significant using the QIDS-SR,
with 10.4% mild, 38.6% moderate, 38.0% severe, and 12.9% very severe. Mean
episode duration was 16 weeks (95% CI, 15.1-17.3). Role impairment as measured
by SDS was substantial as indicated by 59.3% of 12-month cases with severe
or very severe role impairment. Most lifetime (72.1%) and 12-month (78.5%)
cases had comorbid CIDI/DSM-IV disorders, with MDD
only rarely primary. Although 51.6% (95% CI, 46.1-57.2) of 12-month cases
received health care treatment for MDD, treatment was adequate in only 41.9%
(95% CI, 35.9-47.9) of these cases, resulting in 21.7% (95% CI, 18.1-25.2)
of 12-month MDD being adequately treated. Sociodemographic correlates of treatment
were far less numerous than those of prevalence.ConclusionsMajor depressive disorder is a common disorder, widely distributed in
the population, and usually associated with substantial symptom severity and
role impairment. While the recent increase in treatment is encouraging, inadequate
treatment is a serious concern. Emphasis on screening and expansion of treatment
needs to be accompanied by a parallel emphasis on treatment quality improvement.
7,706 citations
Book•
01 Jan 1996
TL;DR: This is the first in a planned series of 10 volumes that will attempt to "summarize epidemiological knowledge about all major conditions and most risk factors" and use historical trends in main determinants to project mortality and disease burden forward to 2020.
Abstract: This is the first in a planned series of 10 volumes that will attempt to "summarize epidemiological knowledge about all major conditions and most risk factors;...generate assessments of numbers of deaths by cause that are consistent with the total numbers of deaths by age sex and region provided by demographers;...provide methodologies for and assessments of aggregate disease burden that combine--into the Disability-Adjusted Life Year or DALY measure--burden from premature mortality with that from living with disability; and...use historical trends in main determinants to project mortality and disease burden forward to 2020." This first volume includes chapters summarizing results from the project as a whole. (EXCERPT)
7,154 citations