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Soriano JB, Kendrick PJ, Paulson KR, Gupta V, Abrams EM, Adedoyin RA, Adhikari TB, Advani SM, Agrawal A, Ahmadian E, Alahdab F, Aljunid SM, Altirkawi KA, Alvis-Guzman N, Anber NH, Andrei CL, Anjomshoa M, Ansari F, Antó JM, Arabloo J, Athari SM, Athari SS, Awoke N, Badawi A, Banoub JAM, Bennett DA, Bensenor IM, Berfield KSS, Bernstein RS, Bhattacharyya K, Bijani A, Brauer M, Bukhman G, Butt ZA, Cámera LA, Car J, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Choi JYJ, Christopher DJ, Cohen AJ, Dandona L, Dandona R, Dang AK, Daryani A, de Courten B, Demeke FM, Demoz GT, De Neve JW, Desai R, Dharmaratne SD, Diaz D, Douiri A, Driscoll TR, Duken EE, Eftekhari A, Elkout H, Endries AY, Fadhil I, Faro A, Farzadfar F, Fernandes E, Filip I, Fischer F, Foroutan M, Garcia-Gordillo M, Gebre AK, Gebremedhin KB, Gebremeskel GG, Gezae KE, Ghoshal AG, Gill PS, Gillum RF, Goudarzi H, Guo Y, Gupta R, Hailu GB, Hasanzadeh A, Hassen HY, Hay SI, Hoang CL, Hole MK, Horita N, Hosgood HD, Hostiuc M, Househ M, Ilesanmi OS, Ilic MD, Irvani SSN, Islam SMS, Jakovljevic M, Jamal AA, Jha RP, Jonas JB, Kabir Z, Kasaeian A, Kasahun GG, Kassa GM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khan EA, Khan J, Khubchandani J, Kim YE, Kim YJ, Kisa S, Kisa A, Knibbs LD, Komaki H, Koul PA, Koyanagi A, Kumar GA, Lan Q, Lasrado S, Lauriola P, La Vecchia C, Le TT, Leigh J, Levi M, Li S, Lopez AD, Lotufo PA, Madotto F, Mahotra NB, Majdan M, Majeed A, Malekzadeh R, Mamun AA, Manafi N, Manafi F, Mantovani LG, Meharie BG, Meles HG, Meles GG, Menezes RG, Mestrovic T, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohammad KA, Mohammed S, Mohebi F, Mokdad AH, Molokhia M, Monasta L, Moradi M, Moradi G, Morawska L, Mousavi SM, Musa KI, Mustafa G, Naderi M, Naghavi M, Naik G, Nair S, Nangia V, Nansseu JR, Nazari J, Ndwandwe DE, Negoi RI, Nguyen TH, Nguyen CT, Nguyen HLT, Nixon MR, Ofori-Asenso R, Ogbo FA, Olagunju AT, Olagunju TO, Oren E, Ortiz JR, Owolabi MO, P A M, Pakhale S, Pana A, Panda-Jonas S, Park EK, Pham HQ, Postma MJ, Pourjafar H, Poustchi H, Radfar A, Rafiei A, Rahim F, Rahman MHU, Rahman MA, Rawaf S, Rawaf DL, Rawal L, Reiner Jr. RC, Reitsma MB, Roever L, Ronfani L, Roro EM, Roshandel G, Rudd KE, Sabde YD, Sabour S, Saddik B, Safari S, Saleem K, Samy AM, Santric-Milicevic MM, Sao Jose BP, Sartorius B, Satpathy M, Savic M, Sawhney M, Sepanlou SG, Shaikh MA, Sheikh A, Shigematsu M, Shirkoohi R, Si S, Siabani S, Singh V, Singh JA, Soljak M, Somayaji R, Soofi M, Soyiri IN, Tefera YM, Temsah MH, Tesfay BE, Thakur JS, Toma AT, Tortajada-Girbés M, Tran KB, Tran BX, Tudor Car L, Ullah I, Vacante M, Valdez PR, van Boven JFM, Vasankari TJ, Veisani Y, Violante FS, Wagner GR, Westerman R, Wolfe CDA, Wondafrash DZ, Wondmieneh AB, Yonemoto N, Yoon SJ, Zaidi Z, Zamani M, Zar HJ, Zhang Y, Vos T. Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. THE LANCET. RESPIRATORY MEDICINE 2020; 8:585-596. [PMID: 32526187 PMCID: PMC7284317 DOI: 10.1016/s2213-2600(20)30105-3] [Citation(s) in RCA: 966] [Impact Index Per Article: 241.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 02/05/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. METHODS Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. FINDINGS In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9-584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8-7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578-4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. INTERPRETATION Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. FUNDING Bill & Melinda Gates Foundation.
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Global and regional burden of cancer in 2016 arising from occupational exposure to selected carcinogens: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med 2020; 77:151-159. [PMID: 32054819 PMCID: PMC7035689 DOI: 10.1136/oemed-2019-106012] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 12/03/2019] [Accepted: 12/06/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
OBJECTIVES This study provides a detailed analysis of the global and regional burden of cancer due to occupational carcinogens from the Global Burden of Disease 2016 study. METHODS The burden of cancer due to 14 International Agency for Research on Cancer Group 1 occupational carcinogens was estimated using the population attributable fraction, based on past population exposure prevalence and relative risks from the literature. The results were used to calculate attributable deaths and disability-adjusted life years (DALYs). RESULTS There were an estimated 349 000 (95% Uncertainty Interval 269 000 to 427 000) deaths and 7.2 (5.8 to 8.6) million DALYs in 2016 due to exposure to the included occupational carcinogens-3.9% (3.2% to 4.6%) of all cancer deaths and 3.4% (2.7% to 4.0%) of all cancer DALYs; 79% of deaths were of males and 88% were of people aged 55 -79 years. Lung cancer accounted for 86% of the deaths, mesothelioma for 7.9% and laryngeal cancer for 2.1%. Asbestos was responsible for the largest number of deaths due to occupational carcinogens (63%); other important risk factors were secondhand smoke (14%), silica (14%) and diesel engine exhaust (5%). The highest mortality rates were in high-income regions, largely due to asbestos-related cancers, whereas in other regions cancer deaths from secondhand smoke, silica and diesel engine exhaust were more prominent. From 1990 to 2016, there was a decrease in the rate for deaths (-10%) and DALYs (-15%) due to exposure to occupational carcinogens. CONCLUSIONS Work-related carcinogens are responsible for considerable disease burden worldwide. The results provide guidance for prevention and control initiatives.
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Global and regional burden of disease and injury in 2016 arising from occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med 2020; 77:133-141. [PMID: 32054817 PMCID: PMC7035694 DOI: 10.1136/oemed-2019-106008] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 10/18/2019] [Accepted: 11/30/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
OBJECTIVES This study provides an overview of the influence of occupational risk factors on the global burden of disease as estimated by the occupational component of the Global Burden of Disease (GBD) 2016 study. METHODS The GBD 2016 study estimated the burden in terms of deaths and disability-adjusted life years (DALYs) arising from the effects of occupational risk factors (carcinogens; asthmagens; particulate matter, gases and fumes (PMGF); secondhand smoke (SHS); noise; ergonomic risk factors for low back pain; risk factors for injury). A population attributable fraction (PAF) approach was used for most risk factors. RESULTS In 2016, globally, an estimated 1.53 (95% uncertainty interval 1.39-1.68) million deaths and 76.1 (66.3-86.3) million DALYs were attributable to the included occupational risk factors, accounting for 2.8% of deaths and 3.2% of DALYs from all causes. Most deaths were attributable to PMGF, carcinogens (particularly asbestos), injury risk factors and SHS. Most DALYs were attributable to injury risk factors and ergonomic exposures. Men and persons 55 years or older were most affected. PAFs ranged from 26.8% for low back pain from ergonomic risk factors and 19.6% for hearing loss from noise to 3.4% for carcinogens. DALYs per capita were highest in Oceania, Southeast Asia and Central sub-Saharan Africa. On a per capita basis, between 1990 and 2016 there was an overall decrease of about 31% in deaths and 25% in DALYs. CONCLUSIONS Occupational exposures continue to cause an important health burden worldwide, justifying the need for ongoing prevention and control initiatives.
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Global and regional burden of chronic respiratory disease in 2016 arising from non-infectious airborne occupational exposures: a systematic analysis for the Global Burden of Disease Study 2016. Occup Environ Med 2020; 77:142-150. [PMID: 32054818 PMCID: PMC7035690 DOI: 10.1136/oemed-2019-106013] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 10/13/2019] [Accepted: 11/30/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
OBJECTIVES This paper presents detailed analysis of the global and regional burden of chronic respiratory disease arising from occupational airborne exposures, as estimated in the Global Burden of Disease 2016 study. METHODS The burden of chronic obstructive pulmonary disease (COPD) due to occupational exposure to particulate matter, gases and fumes, and secondhand smoke, and the burden of asthma resulting from occupational exposure to asthmagens, was estimated using the population attributable fraction (PAF), calculated using exposure prevalence and relative risks from the literature. PAFs were applied to the number of deaths and disability-adjusted life years (DALYs) for COPD and asthma. Pneumoconioses were estimated directly from cause of death data. Age-standardised rates were based only on persons aged 15 years and above. RESULTS The estimated PAFs (based on DALYs) were 17% (95% uncertainty interval (UI) 14%-20%) for COPD and 10% (95% UI 9%-11%) for asthma. There were estimated to be 519 000 (95% UI 441,000-609,000) deaths from chronic respiratory disease in 2016 due to occupational airborne risk factors (COPD: 460,100 [95% UI 382,000-551,000]; asthma: 37,600 [95% UI 28,400-47,900]; pneumoconioses: 21,500 [95% UI 17,900-25,400]. The equivalent overall burden estimate was 13.6 million (95% UI 11.9-15.5 million); DALYs (COPD: 10.7 [95% UI 9.0-12.5] million; asthma: 2.3 [95% UI 1.9-2.9] million; pneumoconioses: 0.58 [95% UI 0.46-0.67] million). Rates were highest in males; older persons and mainly in Oceania, Asia and sub-Saharan Africa; and decreased from 1990 to 2016. CONCLUSIONS Workplace exposures resulting in COPD, asthma and pneumoconiosis continue to be important contributors to the burden of disease in all regions of the world. This should be reducible through improved prevention and control of relevant exposures.
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Sepanlou SG, Safiri S, Bisignano C, Ikuta KS, Merat S, Saberifiroozi M, Poustchi H, Tsoi D, Colombara DV, Abdoli A, Adedoyin RA, Afarideh M, Agrawal S, Ahmad S, Ahmadian E, Ahmadpour E, Akinyemiju T, Akunna CJ, Alipour V, Almasi-Hashiani A, Almulhim AM, Al-Raddadi RM, Alvis-Guzman N, Anber NH, Angus C, Anoushiravani A, Arabloo J, Araya EM, Asmelash D, Ataeinia B, Ataro Z, Atout MMW, Ausloos F, Awasthi A, Badawi A, Banach M, Bejarano Ramirez DF, Bhagavathula AS, Bhala N, Bhattacharyya K, Biondi A, Bolla SR, Boloor A, Borzì AM, Butt ZA, Cámera LLAA, Campos-Nonato IR, Carvalho F, Chu DT, Chung SC, Cortesi PA, Costa VM, Cowie BC, Daryani A, de Courten B, Demoz GT, Desai R, Dharmaratne SD, Djalalinia S, Do HT, Dorostkar F, Drake TM, Dubey M, Duncan BB, Effiong A, Eftekhari A, Elsharkawy A, Etemadi A, Farahmand M, Farzadfar F, Fernandes E, Filip I, Fischer F, Gebremedhin KBB, Geta B, Gilani SA, Gill PS, Gutirrez RA, Haile MT, Haj-Mirzaian A, Hamid SS, Hasankhani M, Hasanzadeh A, Hashemian M, Hassen HY, Hay SI, Hayat K, Heidari B, Henok A, Hoang CL, Hostiuc M, Hostiuc S, Hsieh VCR, Igumbor EU, Ilesanmi OS, Irvani SSN, Jafari Balalami N, James SL, Jeemon P, Jha RP, Jonas JB, Jozwiak JJ, Kabir A, Kasaeian A, Kassaye HG, Kefale AT, Khalilov R, Khan MA, Khan EA, Khater A, Kim YJ, Koyanagi A, La Vecchia C, Lim LL, Lopez AD, Lorkowski S, Lotufo PA, Lozano R, Magdy Abd El Razek M, Mai HT, Manafi N, Manafi A, Mansournia MA, Mantovani LG, Mazzaglia G, Mehta D, Mendoza W, Menezes RG, Mengesha MM, Meretoja TJ, Mestrovic T, Miazgowski B, Miller TR, Mirrakhimov EM, Mithra P, Moazen B, Moghadaszadeh M, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Montero-Zamora PA, Moradi G, Naimzada MD, Nayak V, Negoi I, Nguyen TH, Ofori-Asenso R, Oh IH, Olagunju TO, Padubidri JR, Pakshir K, Pana A, Pathak M, Pourshams A, Rabiee N, Radfar A, Rafiei A, Ramezanzadeh K, Rana SMM, Rawaf S, Rawaf DL, Reiner RC, Roever L, Room R, Roshandel G, Safari S, Samy AM, Sanabria J, Sartorius B, Schmidt MI, Senthilkumaran S, Shaikh MA, Sharif M, Sharifi A, Shigematsu M, Singh JA, Soheili A, Suleria HAR, Teklehaimanot BF, Tesfay BE, Vacante M, Vahedian-Azimi A, Valdez PR, Vasankari TJ, Vu GT, Waheed Y, Weldegwergs KG, Werdecker A, Westerman R, Wondafrash DZ, Wondmieneh AB, Yeshitila YG, Yonemoto N, Yu C, Zaidi Z, Zarghi A, Zelber-Sagi S, Zewdie KA, Zhang ZJ, Zhao XJ, Naghavi M, Malekzadeh R. The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol Hepatol 2020; 5:245-266. [PMID: 31981519 PMCID: PMC7026710 DOI: 10.1016/s2468-1253(19)30349-8] [Citation(s) in RCA: 800] [Impact Index Per Article: 200.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 02/06/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Cirrhosis and other chronic liver diseases (collectively referred to as cirrhosis in this paper) are a major cause of morbidity and mortality globally, although the burden and underlying causes differ across locations and demographic groups. We report on results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 on the burden of cirrhosis and its trends since 1990, by cause, sex, and age, for 195 countries and territories. METHODS We used data from vital registrations, vital registration samples, and verbal autopsies to estimate mortality. We modelled prevalence of total, compensated, and decompensated cirrhosis on the basis of hospital and claims data. Disability-adjusted life-years (DALYs) were calculated as the sum of years of life lost due to premature death and years lived with disability. Estimates are presented as numbers and age-standardised or age-specific rates per 100 000 population, with 95% uncertainty intervals (UIs). All estimates are presented for five causes of cirrhosis: hepatitis B, hepatitis C, alcohol-related liver disease, non-alcoholic steatohepatitis (NASH), and other causes. We compared mortality, prevalence, and DALY estimates with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries. FINDINGS In 2017, cirrhosis caused more than 1·32 million (95% UI 1·27-1·45) deaths (440 000 [416 000-518 000; 33·3%] in females and 883 000 [838 000-967 000; 66·7%] in males) globally, compared with less than 899 000 (829 000-948 000) deaths in 1990. Deaths due to cirrhosis constituted 2·4% (2·3-2·6) of total deaths globally in 2017 compared with 1·9% (1·8-2·0) in 1990. Despite an increase in the number of deaths, the age-standardised death rate decreased from 21·0 (19·2-22·3) per 100 000 population in 1990 to 16·5 (15·8-18·1) per 100 000 population in 2017. Sub-Saharan Africa had the highest age-standardised death rate among GBD super-regions for all years of the study period (32·2 [25·8-38·6] deaths per 100 000 population in 2017), and the high-income super-region had the lowest (10·1 [9·8-10·5] deaths per 100 000 population in 2017). The age-standardised death rate decreased or remained constant from 1990 to 2017 in all GBD regions except eastern Europe and central Asia, where the age-standardised death rate increased, primarily due to increases in alcohol-related liver disease prevalence. At the national level, the age-standardised death rate of cirrhosis was lowest in Singapore in 2017 (3·7 [3·3-4·0] per 100 000 in 2017) and highest in Egypt in all years since 1990 (103·3 [64·4-133·4] per 100 000 in 2017). There were 10·6 million (10·3-10·9) prevalent cases of decompensated cirrhosis and 112 million (107-119) prevalent cases of compensated cirrhosis globally in 2017. There was a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017. Cirrhosis caused by NASH had a steady age-standardised death rate throughout the study period, whereas the other four causes showed declines in age-standardised death rate. The age-standardised prevalence of compensated and decompensated cirrhosis due to NASH increased more than for any other cause of cirrhosis (by 33·2% for compensated cirrhosis and 54·8% for decompensated cirrhosis) over the study period. From 1990 to 2017, the number of prevalent cases more than doubled for compensated cirrhosis due to NASH and more than tripled for decompensated cirrhosis due to NASH. In 2017, age-standardised death and DALY rates were lower among countries and territories with higher SDI. INTERPRETATION Cirrhosis imposes a substantial health burden on many countries and this burden has increased at the global level since 1990, partly due to population growth and ageing. Although the age-standardised death and DALY rates of cirrhosis decreased from 1990 to 2017, numbers of deaths and DALYs and the proportion of all global deaths due to cirrhosis increased. Despite the availability of effective interventions for the prevention and treatment of hepatitis B and C, they were still the main causes of cirrhosis burden worldwide, particularly in low-income countries. The impact of hepatitis B and C is expected to be attenuated and overtaken by that of NASH in the near future. Cost-effective interventions are required to continue the prevention and treatment of viral hepatitis, and to achieve early diagnosis and prevention of cirrhosis due to alcohol-related liver disease and NASH. FUNDING Bill & Melinda Gates Foundation.
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Mapping child growth failure across low- and middle-income countries. Nature 2020; 577:231-234. [PMID: 31915393 PMCID: PMC7015855 DOI: 10.1038/s41586-019-1878-8] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 11/14/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
Childhood malnutrition is associated with high morbidity and mortality globally1. Undernourished children are more likely to experience cognitive, physical, and metabolic developmental impairments that can lead to later cardiovascular disease, reduced intellectual ability and school attainment, and reduced economic productivity in adulthood2. Child growth failure (CGF), expressed as stunting, wasting, and underweight in children under five years of age (0-59 months), is a specific subset of undernutrition characterized by insufficient height or weight against age-specific growth reference standards3-5. The prevalence of stunting, wasting, or underweight in children under five is the proportion of children with a height-for-age, weight-for-height, or weight-for-age z-score, respectively, that is more than two standard deviations below the World Health Organization's median growth reference standards for a healthy population6. Subnational estimates of CGF report substantial heterogeneity within countries, but are available primarily at the first administrative level (for example, states or provinces)7; the uneven geographical distribution of CGF has motivated further calls for assessments that can match the local scale of many public health programmes8. Building from our previous work mapping CGF in Africa9, here we provide the first, to our knowledge, mapped high-spatial-resolution estimates of CGF indicators from 2000 to 2017 across 105 low- and middle-income countries (LMICs), where 99% of affected children live1, aggregated to policy-relevant first and second (for example, districts or counties) administrative-level units and national levels. Despite remarkable declines over the study period, many LMICs remain far from the ambitious World Health Organization Global Nutrition Targets to reduce stunting by 40% and wasting to less than 5% by 2025. Large disparities in prevalence and progress exist across and within countries; our maps identify high-prevalence areas even within nations otherwise succeeding in reducing overall CGF prevalence. By highlighting where the highest-need populations reside, these geospatial estimates can support policy-makers in planning interventions that are adapted locally and in efficiently directing resources towards reducing CGF and its health implications.
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Mapping disparities in education across low- and middle-income countries. Nature 2020; 577:235-238. [PMID: 31875853 PMCID: PMC7015853 DOI: 10.1038/s41586-019-1872-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 11/12/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
Educational attainment is an important social determinant of maternal, newborn, and child health1-3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4-6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9-11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but-to our knowledge-no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries12-14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.
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Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A, Abdollahpour I, Abdulle ASM, Abebe ND, Abraha HN, Abu-Raddad LJ, Abualhasan A, Adedeji IA, Advani SM, Afarideh M, Afshari M, Aghaali M, Agius D, Agrawal S, Ahmadi A, Ahmadian E, Ahmadpour E, Ahmed MB, Akbari ME, Akinyemiju T, Al-Aly Z, AlAbdulKader AM, Alahdab F, Alam T, Alamene GM, Alemnew BTT, Alene KA, Alinia C, Alipour V, Aljunid SM, Bakeshei FA, Almadi MAH, Almasi-Hashiani A, Alsharif U, Alsowaidi S, Alvis-Guzman N, Amini E, Amini S, Amoako YA, Anbari Z, Anber NH, Andrei CL, Anjomshoa M, Ansari F, Ansariadi A, Appiah SCY, Arab-Zozani M, Arabloo J, Arefi Z, Aremu O, Areri HA, Artaman A, Asayesh H, Asfaw ET, Ashagre AF, Assadi R, Ataeinia B, Atalay HT, Ataro Z, Atique S, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayanore MA, Ayele HT, Babaee E, Bacha U, Badawi A, Bagherzadeh M, Bagli E, Balakrishnan S, Balouchi A, Bärnighausen TW, Battista RJ, Behzadifar M, Behzadifar M, Bekele BB, Belay YB, Belayneh YM, Berfield KKS, Berhane A, Bernabe E, Beuran M, Bhakta N, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Birungi C, Bisignano C, Bitew H, Bjørge T, Bleyer A, Bogale KA, Bojia HA, Borzì AM, Bosetti C, Bou-Orm IR, Brenner H, Brewer JD, Briko AN, Briko NI, Bustamante-Teixeira MT, Butt ZA, Carreras G, Carrero JJ, Carvalho F, Castro C, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chanie WF, Chattu VK, Chaturvedi P, Chauhan NS, Chehrazi M, Chiang PPC, Chichiabellu TY, Chido-Amajuoyi OG, Chimed-Ochir O, Choi JYJ, Christopher DJ, Chu DT, Constantin MM, Costa VM, Crocetti E, Crowe CS, Curado MP, Dahlawi SMA, Damiani G, Darwish AH, Daryani A, das Neves J, Demeke FM, Demis AB, Demissie BW, Demoz GT, Denova-Gutiérrez E, Derakhshani A, Deribe KS, Desai R, Desalegn BB, Desta M, Dey S, Dharmaratne SD, Dhimal M, Diaz D, Dinberu MTT, Djalalinia S, Doku DT, Drake TM, Dubey M, Dubljanin E, Duken EE, Ebrahimi H, Effiong A, Eftekhari A, El Sayed I, Zaki MES, El-Jaafary SI, El-Khatib Z, Elemineh DA, Elkout H, Ellenbogen RG, Elsharkawy A, Emamian MH, Endalew DA, Endries AY, Eshrati B, Fadhil I, Fallah Omrani V, Faramarzi M, Farhangi MA, Farioli A, Farzadfar F, Fentahun N, Fernandes E, Feyissa GT, Filip I, Fischer F, Fisher JL, Force LM, Foroutan M, Freitas M, Fukumoto T, Futran ND, Gallus S, Gankpe FG, Gayesa RT, Gebrehiwot TT, Gebremeskel GG, Gedefaw GA, Gelaw BK, Geta B, Getachew S, Gezae KE, Ghafourifard M, Ghajar A, Ghashghaee A, Gholamian A, Gill PS, Ginindza TTG, Girmay A, Gizaw M, Gomez RS, Gopalani SV, Gorini G, Goulart BNG, Grada A, Ribeiro Guerra M, Guimaraes ALS, Gupta PC, Gupta R, Hadkhale K, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Hanfore LK, Haro JM, Hasankhani M, Hasanzadeh A, Hassen HY, Hay RJ, Hay SI, Henok A, Henry NJ, Herteliu C, Hidru HD, Hoang CL, Hole MK, Hoogar P, Horita N, Hosgood HD, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hussen MM, Ileanu B, Ilic MD, Innos K, Irvani SSN, Iseh KR, Islam SMS, Islami F, Jafari Balalami N, Jafarinia M, Jahangiry L, Jahani MA, Jahanmehr N, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jee SH, Jenabi E, Jha RP, Jonas JB, Jonnagaddala J, Joo T, Jungari SB, Jürisson M, Kabir A, Kamangar F, Karch A, Karimi N, Karimian A, Kasaeian A, Kasahun GG, Kassa B, Kassa TD, Kassaw MW, Kaul A, Keiyoro PN, Kelbore AG, Kerbo AA, Khader YS, Khalilarjmandi M, Khan EA, Khan G, Khang YH, Khatab K, Khater A, Khayamzadeh M, Khazaee-Pool M, Khazaei S, Khoja AT, Khosravi MH, Khubchandani J, Kianipour N, Kim D, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Komaki H, Koyanagi A, Krohn KJ, Bicer BK, Kugbey N, Kumar V, Kuupiel D, La Vecchia C, Lad DP, Lake EA, Lakew AM, Lal DK, Lami FH, Lan Q, Lasrado S, Lauriola P, Lazarus JV, Leigh J, Leshargie CT, Liao Y, Limenih MA, Listl S, Lopez AD, Lopukhov PD, Lunevicius R, Madadin M, Magdeldin S, El Razek HMA, Majeed A, Maleki A, Malekzadeh R, Manafi A, Manafi N, Manamo WA, Mansourian M, Mansournia MA, Mantovani LG, Maroufizadeh S, Martini SMS, Mashamba-Thompson TP, Massenburg BB, Maswabi MT, Mathur MR, McAlinden C, McKee M, Meheretu HAA, Mehrotra R, Mehta V, Meier T, Melaku YA, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Mendoza W, Menezes RG, Merat S, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Mihretie KMM, Miller TR, Mills EJ, Mir SM, Mirzaei H, Mirzaei HR, Mishra R, Moazen B, Mohammad DK, Mohammad KA, Mohammad Y, Darwesh AM, Mohammadbeigi A, Mohammadi H, Mohammadi M, Mohammadian M, Mohammadian-Hafshejani A, Mohammadoo-Khorasani M, Mohammadpourhodki R, Mohammed AS, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moosazadeh M, Moossavi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moradpour F, Morawska L, Morgado-da-Costa J, Morisaki N, Morrison SD, Mosapour A, Mousavi SM, Muche AA, Muhammed OSS, Musa J, Nabhan AF, Naderi M, Nagarajan AJ, Nagel G, Nahvijou A, Naik G, Najafi F, Naldi L, Nam HS, Nasiri N, Nazari J, Negoi I, Neupane S, Newcomb PA, Nggada HA, Ngunjiri JW, Nguyen CT, Nikniaz L, Ningrum DNA, Nirayo YL, Nixon MR, Nnaji CA, Nojomi M, Nosratnejad S, Shiadeh MN, Obsa MS, Ofori-Asenso R, Ogbo FA, Oh IH, Olagunju AT, Olagunju TO, Oluwasanu MM, Omonisi AE, Onwujekwe OE, Oommen AM, Oren E, Ortega-Altamirano DDV, Ota E, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakpour AH, Pana A, Park EK, Parsian H, Pashaei T, Patel S, Patil ST, Pennini A, Pereira DM, Piccinelli C, Pillay JD, Pirestani M, Pishgar F, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Prakash S, Prasad N, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi M, Rahman MA, Rajati F, Rana SM, Raoofi S, Rath GK, Rawaf DL, Rawaf S, Reiner RC, Renzaho AMN, Rezaei N, Rezapour A, Ribeiro AI, Ribeiro D, Ronfani L, Roro EM, Roshandel G, Rostami A, Saad RS, Sabbagh P, Sabour S, Saddik B, Safiri S, Sahebkar A, Salahshoor MR, Salehi F, Salem H, Salem MR, Salimzadeh H, Salomon JA, Samy AM, Sanabria J, Santric Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Satpathy M, Savic M, Sawhney M, Sayyah M, Schneider IJC, Schöttker B, Sekerija M, Sepanlou SG, Sepehrimanesh M, Seyedmousavi S, Shaahmadi F, Shabaninejad H, Shahbaz M, Shaikh MA, Shamshirian A, Shamsizadeh M, Sharafi H, Sharafi Z, Sharif M, Sharifi A, Sharifi H, Sharma R, Sheikh A, Shirkoohi R, Shukla SR, Si S, Siabani S, Silva DAS, Silveira DGA, Singh A, Singh JA, Sisay S, Sitas F, Sobngwi E, Soofi M, Soriano JB, Stathopoulou V, Sufiyan MB, Tabarés-Seisdedos R, Tabuchi T, Takahashi K, Tamtaji OR, Tarawneh MR, Tassew SG, Taymoori P, Tehrani-Banihashemi A, Temsah MH, Temsah O, Tesfay BE, Tesfay FH, Teshale MY, Tessema GA, Thapa S, Tlaye KG, Topor-Madry R, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tsadik AG, Ullah I, Uthman OA, Vacante M, Vaezi M, Varona Pérez P, Veisani Y, Vidale S, Violante FS, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vu GT, Vujcic IS, Wabinga H, Wachamo TM, Wagnew FS, Waheed Y, Weldegebreal F, Weldesamuel GT, Wijeratne T, Wondafrash DZ, Wonde TE, Wondmieneh AB, Workie HM, Yadav R, Yadegar A, Yadollahpour A, Yaseri M, Yazdi-Feyzabadi V, Yeshaneh A, Yimam MA, Yimer EM, Yisma E, Yonemoto N, Younis MZ, Yousefi B, Yousefifard M, Yu C, Zabeh E, Zadnik V, Moghadam TZ, Zaidi Z, Zamani M, Zandian H, Zangeneh A, Zaki L, Zendehdel K, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Murray CJL. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol 2019; 5:1749-1768. [PMID: 31560378 PMCID: PMC6777271 DOI: 10.1001/jamaoncol.2019.2996] [Citation(s) in RCA: 1515] [Impact Index Per Article: 303.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] [Imported: 10/13/2023]
Abstract
Importance Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572 000 deaths and 15.2 million DALYs), and stomach cancer (542 000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819 000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601 000 deaths and 17.4 million DALYs), TBL cancer (596 000 deaths and 12.6 million DALYs), and colorectal cancer (414 000 deaths and 8.3 million DALYs). Conclusions and Relevance The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care.
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Kim HS, Lee JU, Yoo TK, Chae BJ, Son D, Kim YJ, Park WC. Omission of Chemotherapy for the Treatment of Mucinous Breast Cancer: A Nationwide Study from the Korean Breast Cancer Society. J Breast Cancer 2019; 22:599-612. [PMID: 31897333 PMCID: PMC6933040 DOI: 10.4048/jbc.2019.22.e46] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 09/10/2019] [Indexed: 12/20/2022] [Imported: 10/13/2023] Open
Abstract
PURPOSE Mucinous breast carcinoma (MBC) is a rare type of breast cancer. Although patients with MBC may have a better prognosis than that of patients with invasive ductal carcinoma, many clinicians administer adjuvant chemotherapy regimens similar to those for other breast tumors. Using data from a nationwide clinical database, this study evaluated the significance of adjuvant systemic chemotherapy and whether it can be omitted in MBC patients. METHODS We included 3,076 patients with a diagnosis of MBC recorded in the Korean Breast Cancer Registry between January 1990 and August 2016. We used the Kaplan-Meier method to analyze breast cancer-specific survival (BCCS) and overall survival (OS). Multivariate analysis was performed using a Cox proportional hazard ratio (HR) model to estimate the adjusted HR for each prognostic factor. RESULTS A total of 2,988 MBC patients were enrolled and followed-up for a median of 100 months (range, 2-324 months). Multivariate analysis revealed that axillary lymph node (ALN) metastasis and estrogen receptor (ER) negativity were significant prognostic factors for BCSS. Meanwhile, old age, pathologic tumor stage, and ALN metastasis were significant prognostic factors for OS. Subgroup analysis of ER-positive MBC showed that ALN metastasis was a significant prognostic factor for BCSS. Additionally, old age, pathologic tumor stage, and ALN metastasis were prognostic factors for OS. Ultimately, ALN metastasis was the most statistically significant prognostic factor for MBC. However, chemotherapy had no significant effect on BCSS and OS. The Kaplan-Meier curves of BCSS and OS based on pathologic tumor and nodal stages and age revealed that chemotherapy did not statistically significantly improve prognosis, except for the N3 stage. CONCLUSION Our large retrospective analysis revealed that adjuvant chemotherapy provided little benefit to improve the prognosis of most ER-positive MBC patients. Therefore, chemotherapy can be omitted in the treatment of most ER-positive MBC.
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Frank TD, Carter A, Jahagirdar D, Biehl MH, Douwes-Schultz D, Larson SL, Arora M, Dwyer-Lindgren L, Steuben KM, Abbastabar H, Abu-Raddad LJ, Abyu DM, Adabi M, Adebayo OM, Adekanmbi V, Adetokunboh OO, Ahmadi A, Ahmadi K, Ahmadian E, Ahmadpour E, Ahmed MB, Akal CG, Alahdab F, Alam N, Albertson SB, Alemnew BTT, Alene KA, Alipour V, Alvis-Guzman N, Amini S, Anbari Z, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Areri HA, Asfaw ET, Ashagre AF, Asmelash D, Asrat AA, Avokpaho EFGA, Awasthi A, Awoke N, Ayanore MA, Azari S, Badawi A, Bagherzadeh M, Banach M, Barac A, Bärnighausen TW, Basu S, Bedi N, Behzadifar M, Bekele BB, Belay SA, Belay YB, Belayneh YM, Berhane A, Bhat AG, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Bitew H, Blinov A, Bogale KA, Bojia HA, Burugina Nagaraja SBN, Butt ZA, Cahuana-Hurtado L, Campuzano Rincon JC, Carvalho F, Chattu VK, Christopher DJ, Chu DT, Crider R, Dahiru T, Dandona L, Dandona R, Daryani A, das Neves J, De Neve JW, Degenhardt L, Demeke FM, Demis AB, Demissie DB, Demoz GT, Deribe K, Des Jarlais D, Dhungana GP, Diaz D, Djalalinia S, Do HP, Doan LP, Duber H, Dubey M, Dubljanin E, Duken EE, Duko Adema B, Effiong A, Eftekhari A, El Sayed Zaki M, El-Jaafary SI, El-Khatib Z, Elsharkawy A, Endries AY, Eskandarieh S, Eyawo O, Farzadfar F, Fatima B, Fentahun N, Fernandes E, Filip I, Fischer F, Folayan MO, Foroutan M, Fukumoto T, Fullman N, Garcia-Basteiro AL, Gayesa RT, Gebremedhin KB, Gebremeskel GGG, Gebreyohannes KK, Gedefaw GA, Gelaw BK, Gesesew HA, Geta B, Gezae KE, Ghadiri K, Ghashghaee A, Ginindza TTG, Gugnani HC, Guimarães RA, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Handanagic S, Handiso DW, Hanfore LK, Hasanzadeh A, Hassankhani H, Hassen HY, Hay SI, Henok A, Hoang CL, Hosgood HD, Hosseinzadeh M, Hsairi M, Ibitoye SE, Idrisov B, Ikuta KS, Ilesanmi OS, Irvani SSN, Iwu CJ, Jacobsen KH, James SL, Jenabi E, Jha RP, Jonas JB, Jorjoran Shushtari Z, Kabir A, Kabir Z, Kadel R, Kasaeian A, Kassa B, Kassa GM, Kassa TD, Kayode GA, Kebede MM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khan EA, Khan G, Khan J, Khang YH, Khatab K, Khazaei S, Khoja AT, Kiadaliri AA, Kim YJ, Kisa A, Kisa S, Kochhar S, Komaki H, Koul PA, Koyanagi A, Kuate Defo B, Kumar GA, Kumar M, Kuupiel D, Lal DK, Lee JJH, Lenjebo TL, Leshargie CT, Macarayan ERK, Maddison ER, Magdy Abd El Razek H, Magis-Rodriguez C, Mahasha PW, Majdan M, Majeed A, Malekzadeh R, Manafi N, Mapoma CC, Martins-Melo FR, Masaka A, Mayenga ENL, Mehta V, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Memish ZA, Mena AT, Mendoza W, Mengistu DT, Mengistu G, Meretoja TJ, Mestrovic T, Miller TR, Moazen B, Mohajer B, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadibakhsh R, Mohammadoo-Khorasani M, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Moodley Y, Moossavi M, Moradi G, Moradi-Lakeh M, Moschos MM, Mossie TB, Mousavi SM, Muchie KF, Muluneh AG, Muriithi MK, Mustafa G, Muthupandian S, Nagarajan AJ, Naik G, Najafi F, Nazari J, Ndwandwe DE, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Ningrum DNA, Nixon MR, Nnaji CA, Noroozi M, Noubiap JJ, Nourollahpour Shiadeh M, Obsa MS, Odame EA, Ofori-Asenso R, Ogbo FA, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olum S, Oppong Asante KOA, Oren E, Otstavnov SS, PA M, Padubidri JR, Pakhale S, Pakpour AH, Patel SK, Paulos K, Pepito VCF, Peprah EK, Piroozi B, Pourshams A, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman SU, Ranabhat CL, Rawaf S, Reis C, Renjith V, Reta MA, Rezai MS, Rios González CM, Roro EM, Rostami A, Rubino S, Saeedi Moghaddam S, Safari S, Sagar R, Sahraian MA, Salem MRR, Salimi Y, Salomon JA, Sambala EZ, Samy AM, Sartorius B, Satpathy M, Sawhney M, Sayyah M, Schutte AE, Sepanlou SG, Seyedmousavi S, Shabaninejad H, Shaheen AA, Shaikh MA, Shallo SA, Shamsizadeh M, Sharifi H, Shibuya K, Shin JI, Shirkoohi R, Silva DAS, Silveira DGA, Singh JA, Sisay MMM, Sisay M, Sisay S, Smith AE, Sokhan A, Somayaji R, Soshnikov S, Stein DJ, Sufiyan MB, Sunguya BF, Sykes BL, Tadesse BT, Tadesse DB, Tamirat KS, Taveira N, Tekelemedhin SW, Temesgen HD, Tesfay FH, Teshale MY, Thapa S, Tlaye KG, Topp SM, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Uthman OA, Veisani Y, Vladimirov SK, Wada FW, Waheed Y, Weldegwergs KG, Weldesamuel GTT, Westerman R, Wijeratne T, Wolde HF, Wondafrash DZ, Wonde TE, Wondmagegn BY, Yeshanew AG, Yilma MT, Yimer EM, Yonemoto N, Yotebieng M, Youm Y, Yu C, Zaidi Z, Zarghi A, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Naghavi M, Vollset SE, Wang H, Lim SS, Kyu HH, Murray CJL. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV 2019; 6:e831-e859. [PMID: 31439534 PMCID: PMC6934077 DOI: 10.1016/s2352-3018(19)30196-1] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. METHODS We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. FINDINGS Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. INTERPRETATION Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. FUNDING Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
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Kim YJ. Acupuncture management of blepharoptosis: a case report. Acupunct Med 2019; 38:201-202. [PMID: 31726848 DOI: 10.1177/0964528419883283] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] [Imported: 10/13/2023]
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The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease study 2017. Lancet Gastroenterol Hepatol 2019; 5:42-54. [PMID: 31648970 PMCID: PMC7033564 DOI: 10.1016/s2468-1253(19)30328-0] [Citation(s) in RCA: 356] [Impact Index Per Article: 71.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 09/23/2019] [Accepted: 09/24/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Stomach cancer is a major health problem in many countries. Understanding the current burden of stomach cancer and the differential trends across various locations is essential for formulating effective preventive strategies. We report on the incidence, mortality, and disability-adjusted life-years (DALYs) due to stomach cancer in 195 countries and territories from 21 regions between 1990 and 2017. METHODS Estimates from GBD 2017 were used to analyse the incidence, mortality, and DALYs due to stomach cancer at the global, regional, and national levels. The rates were standardised to the GBD world population and reported per 100 000 population as age-standardised incidence rates, age-standardised death rates, and age-standardised DALY rates. All estimates were generated with 95% uncertainty intervals (UIs). FINDINGS In 2017, more than 1·22 million (95% UI 1·19-1·25) incident cases of stomach cancer occurred worldwide, and nearly 865 000 people (848 000-885 000) died of stomach cancer, contributing to 19·1 million (18·7-19·6) DALYs. The highest age-standardised incidence rates in 2017 were seen in the high-income Asia Pacific (29·5, 28·2-31·0 per 100 000 population) and east Asia (28·6, 27·3-30·0 per 100 000 population) regions, with nearly half of the global incident cases occurring in China. Compared with 1990, in 2017 more than 356 000 more incident cases of stomach cancer were estimated, leading to nearly 96 000 more deaths. Despite the increase in absolute numbers, the worldwide age-standardised rates of stomach cancer (incidence, deaths, and DALYs) have declined since 1990. The drop in the disease burden was associated with improved Socio-demographic Index. Globally, 38·2% (21·1-57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0-28·9) of the age-standardised DALYs were attributable to smoking in males. INTERPRETATION Our findings provide insight into the changing burden of stomach cancer, which is useful in planning local strategies and monitoring their progress. To this end, specific local strategies should be tailored to each country's risk factor profile. Beyond the current decline in age-standardised incidence and death rates, a decrease in the absolute number of cases and deaths will be possible if the burden in east Asia, where currently almost half of the incident cases and deaths occur, is further reduced. FUNDING Bill & Melinda Gates Foundation.
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Clinical Roundup: Selected Treatment Options for Multiple Sclerosis—Part 2. ALTERNATIVE AND COMPLEMENTARY THERAPIES 2019; 25:269-271. [DOI: 10.1089/act.2019.29236.cru] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/13/2023] [Imported: 10/13/2023]
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Burstein R, Henry NJ, Collison ML, Marczak LB, Sligar A, Watson S, Marquez N, Abbasalizad-Farhangi M, Abbasi M, Abd-Allah F, Abdoli A, Abdollahi M, Abdollahpour I, Abdulkader RS, Abrigo MRM, Acharya D, Adebayo OM, Adekanmbi V, Adham D, Afshari M, Aghaali M, Ahmadi K, Ahmadi M, Ahmadpour E, Ahmed R, Akal CG, Akinyemi JO, Alahdab F, Alam N, Alamene GM, Alene KA, Alijanzadeh M, Alinia C, Alipour V, Aljunid SM, Almalki MJ, Al-Mekhlafi HM, Altirkawi K, Alvis-Guzman N, Amegah AK, Amini S, Amit AML, Anbari Z, Androudi S, Anjomshoa M, Ansari F, Antonio CAT, Arabloo J, Arefi Z, Aremu O, Armoon B, Arora A, Artaman A, Asadi A, Asadi-Aliabadi M, Ashraf-Ganjouei A, Assadi R, Ataeinia B, Atre SR, Quintanilla BPA, Ayanore MA, Azari S, Babaee E, Babazadeh A, Badawi A, Bagheri S, Bagherzadeh M, Baheiraei N, Balouchi A, Barac A, Bassat Q, Baune BT, Bayati M, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Belay YB, Bell B, Bell ML, Berbada DA, Bernstein RS, Bhattacharjee NV, Bhattarai S, Bhutta ZA, Bijani A, Bohlouli S, Breitborde NJK, Britton G, Browne AJ, Nagaraja SB, Busse R, Butt ZA, Car J, Cárdenas R, Castañeda-Orjuela CA, Cerin E, Chanie WF, Chatterjee P, Chu DT, Cooper C, Costa VM, Dalal K, Dandona L, Dandona R, Daoud F, Daryani A, Das Gupta R, Davis I, Davis Weaver N, Davitoiu DV, De Neve JW, Demeke FM, Demoz GT, Deribe K, Desai R, Deshpande A, Desyibelew HD, Dey S, Dharmaratne SD, Dhimal M, Diaz D, Doshmangir L, Duraes AR, Dwyer-Lindgren L, Earl L, Ebrahimi R, Ebrahimpour S, Effiong A, Eftekhari A, Ehsani-Chimeh E, El Sayed I, El Sayed Zaki M, El Tantawi M, El-Khatib Z, Emamian MH, Enany S, Eskandarieh S, Eyawo O, Ezalarab M, Faramarzi M, Fareed M, Faridnia R, Faro A, Fazaeli AA, Fazlzadeh M, Fentahun N, Fereshtehnejad SM, Fernandes JC, Filip I, Fischer F, Foigt NA, Foroutan M, Francis JM, Fukumoto T, Fullman N, Gallus S, Gebre DG, Gebrehiwot TT, Gebremeskel GG, Gessner BD, Geta B, Gething PW, Ghadimi R, Ghadiri K, Ghajarzadeh M, Ghashghaee A, Gill PS, Gill TK, Golding N, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goulart BNG, Graetz N, Greaves F, Green MS, Guo Y, Haj-Mirzaian A, Haj-Mirzaian A, Hall BJ, Hamidi S, Haririan H, Haro JM, Hasankhani M, Hasanpoor E, Hasanzadeh A, Hassankhani H, Hassen HY, Hegazy MI, Hendrie D, Heydarpour F, Hird TR, Hoang CL, Hollerich G, Rad EH, Hoseini-Ghahfarokhi M, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Ilesanmi OS, Imani-Nasab MH, Iqbal U, Irvani SSN, Islam N, Islam SMS, Jürisson M, Balalami NJ, Jalali A, Javidnia J, Jayatilleke AU, Jenabi E, Ji JS, Jobanputra YB, Johnson K, Jonas JB, Shushtari ZJ, Jozwiak JJ, Kabir A, Kahsay A, Kalani H, Kalhor R, Karami M, Karki S, Kasaeian A, Kassebaum NJ, Keiyoro PN, Kemp GR, Khabiri R, Khader YS, Khafaie MA, Khan EA, Khan J, Khan MS, Khang YH, Khatab K, Khater A, Khater MM, Khatony A, Khazaei M, Khazaei S, Khazaei-Pool M, Khubchandani J, Kianipour N, Kim YJ, Kimokoti RW, Kinyoki DK, Kisa A, Kisa S, Kolola T, Kosen S, Koul PA, Koyanagi A, Kraemer MUG, Krishan K, Krohn KJ, Kugbey N, Kumar GA, Kumar M, Kumar P, Kuupiel D, Lacey B, Lad SD, Lami FH, Larsson AO, Lee PH, Leili M, Levine AJ, Li S, Lim LL, Listl S, Longbottom J, Lopez JCF, Lorkowski S, Magdeldin S, Abd El Razek HM, Abd El Razek MM, Majeed A, Maleki A, Malekzadeh R, Malta DC, Mamun AA, Manafi N, Manda AL, Mansourian M, Martins-Melo FR, Masaka A, Massenburg BB, Maulik PK, Mayala BK, Mazidi M, McKee M, Mehrotra R, Mehta KM, Meles GG, Mendoza W, Menezes RG, Meretoja A, Meretoja TJ, Mestrovic T, Miller TR, Miller-Petrie MK, Mills EJ, Milne GJ, Mini GK, Mir SM, Mirjalali H, Mirrakhimov EM, Mohamadi E, Mohammad DK, Darwesh AM, Mezerji NMG, Mohammed AS, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Moodley Y, Moosazadeh M, Moradi G, Moradi M, Moradi Y, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Mosapour A, Mousavi SM, Mueller UO, Muluneh AG, Mustafa G, Nabavizadeh B, Naderi M, Nagarajan AJ, Nahvijou A, Najafi F, Nangia V, Ndwandwe DE, Neamati N, Negoi I, Negoi RI, Ngunjiri JW, Thi Nguyen HL, Nguyen LH, Nguyen SH, Nielsen KR, Ningrum DNA, Nirayo YL, Nixon MR, Nnaji CA, Nojomi M, Noroozi M, Nosratnejad S, Noubiap JJ, Motlagh SN, Ofori-Asenso R, Ogbo FA, Oladimeji KE, Olagunju AT, Olfatifar M, Olum S, Olusanya BO, Oluwasanu MM, Onwujekwe OE, Oren E, Ortega-Altamirano DDV, Ortiz A, Osarenotor O, Osei FB, Osgood-Zimmerman AE, Otstavnov SS, Owolabi MO, P A M, Pagheh AS, Pakhale S, Panda-Jonas S, Pandey A, Park EK, Parsian H, Pashaei T, Patel SK, Pepito VCF, Pereira A, Perkins S, Pickering BV, Pilgrim T, Pirestani M, Piroozi B, Pirsaheb M, Plana-Ripoll O, Pourjafar H, Puri P, Qorbani M, Quintana H, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi Z, Rahimi-Movaghar V, Rahimzadeh S, Rajati F, Raju SB, Ramezankhani A, Ranabhat CL, Rasella D, Rashedi V, Rawal L, Reiner RC, Renzaho AMN, Rezaei S, Rezapour A, Riahi SM, Ribeiro AI, Roever L, Roro EM, Roser M, Roshandel G, Roshani D, Rostami A, Rubagotti E, Rubino S, Sabour S, Sadat N, Sadeghi E, Saeedi R, Safari Y, Safari-Faramani R, Safdarian M, Sahebkar A, Salahshoor MR, Salam N, Salamati P, Salehi F, Zahabi SS, Salimi Y, Salimzadeh H, Salomon JA, Sambala EZ, Samy AM, Santric Milicevic MM, Jose BPS, Saraswathy SYI, Sarmiento-Suárez R, Sartorius B, Sathian B, Saxena S, Sbarra AN, Schaeffer LE, Schwebel DC, Sepanlou SG, Seyedmousavi S, Shaahmadi F, Shaikh MA, Shams-Beyranvand M, Shamshirian A, Shamsizadeh M, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharifi H, Sharma J, Sharma R, Sheikh A, Shields C, Shigematsu M, Shiri R, Shiue I, Shuval K, Siddiqi TJ, Silva JP, Singh JA, Sinha DN, Sisay MM, Sisay S, Sliwa K, Smith DL, Somayaji R, Soofi M, Soriano JB, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Sykes BL, Sylaja PN, Tabarés-Seisdedos R, Tabb KM, Tabuchi T, Taveira N, Temsah MH, Terkawi AS, Tessema ZT, Thankappan KR, Thirunavukkarasu S, To QG, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Usman MS, Uthman OA, Vahedian-Azimi A, Valdez PR, van Boven JFM, Vasankari TJ, Vasseghian Y, Veisani Y, Venketasubramanian N, Violante FS, Vladimirov SK, Vlassov V, Vos T, Vu GT, Vujcic IS, Waheed Y, Wakefield J, Wang H, Wang Y, Wang YP, Ward JL, Weintraub RG, Weldegwergs KG, Weldesamuel GT, Westerman R, Wiysonge CS, Wondafrash DZ, Woyczynski L, Wu AM, Xu G, Yadegar A, Yamada T, Yazdi-Feyzabadi V, Yilgwan CS, Yip P, Yonemoto N, Lebni JY, Younis MZ, Yousefifard M, Yousof HASA, Yu C, Yusefzadeh H, Zabeh E, Moghadam TZ, Bin Zaman S, Zamani M, Zandian H, Zangeneh A, Zerfu TA, Zhang Y, Ziapour A, Zodpey S, Murray CJL, Hay SI. Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature 2019; 574:353-358. [PMID: 31619795 PMCID: PMC6800389 DOI: 10.1038/s41586-019-1545-0] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 08/06/2019] [Indexed: 11/23/2022] [Imported: 10/13/2023]
Abstract
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.
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Global, regional, and national burden of migraine and tension-type headache, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 17:954-976. [PMID: 30353868 PMCID: PMC6191530 DOI: 10.1016/s1474-4422(18)30322-3] [Citation(s) in RCA: 1015] [Impact Index Per Article: 203.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 08/09/2018] [Accepted: 08/25/2018] [Indexed: 12/20/2022] [Imported: 10/13/2023]
Abstract
Background Through the Global Burden of Diseases, Injuries, and Risk Factors (GBD) studies, headache has emerged as a major global public health concern. We aimed to use data from the GBD 2016 study to provide new estimates for prevalence and years of life lived with disability (YLDs) for migraine and tension-type headache and to present the methods and results in an accessible way for clinicians and researchers of headache disorders. Methods Data were derived from population-based cross-sectional surveys on migraine and tension-type headache. Prevalence for each sex and 5-year age group interval (ie, age 5 years to ≥95 years) at different time points from 1990 and 2016 in all countries and GBD regions were estimated using a Bayesian meta-regression model. Disease burden measured in YLDs was calculated from prevalence and average time spent with headache multiplied by disability weights (a measure of the relative severity of the disabling consequence of a disease). The burden stemming from medication overuse headache, which was included in earlier iterations of GBD as a separate cause, was subsumed as a sequela of either migraine or tension-type headache. Because no deaths were assigned to headaches as the underlying cause, YLDs equate to disability-adjusted life-years (DALYs). We also analysed results on the basis of the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility. Findings Almost three billion individuals were estimated to have a migraine or tension-type headache in 2016: 1·89 billion (95% uncertainty interval [UI] 1·71–2·10) with tension-type headache and 1·04 billion (95% UI 1·00–1·09) with migraine. However, because migraine had a much higher disability weight than tension-type headache, migraine caused 45·1 million (95% UI 29·0–62·8) and tension-type headache only 7·2 million (95% UI 4·6–10·5) YLDs globally in 2016. The headaches were most burdensome in women between ages 15 and 49 years, with migraine causing 20·3 million (95% UI 12·9–28·5) and tension-type headache 2·9 million (95% UI 1·8–4·2) YLDs in 2016, which was 11·2% of all YLDs in this age group and sex. Age-standardised DALYs for each headache type showed a small increase as SDI increased. Interpretation Although current estimates are based on limited data, our study shows that headache disorders, and migraine in particular, are important causes of disability worldwide, and deserve greater attention in health policy debates and research resource allocation. Future iterations of this study, based on sources from additional countries and with less methodological heterogeneity, should help to provide stronger evidence of the need for action. Funding Bill & Melinda Gates Foundation.
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Feigin VL, Nichols E, Alam T, Bannick MS, Beghi E, Blake N, Culpepper WJ, Dorsey ER, Elbaz A, Ellenbogen RG, Fisher JL, Fitzmaurice C, Giussani G, Glennie L, James SL, Johnson CO, Kassebaum NJ, Logroscino G, Marin B, Mountjoy-Venning WC, Nguyen M, Ofori-Asenso R, Patel AP, Piccininni M, Roth GA, Steiner TJ, Stovner LJ, Szoeke CEI, Theadom A, Vollset SE, Wallin MT, Wright C, Zunt JR, Abbasi N, Abd-Allah F, Abdelalim A, Abdollahpour I, Aboyans V, Abraha HN, Acharya D, Adamu AA, Adebayo OM, Adeoye AM, Adsuar JC, Afarideh M, Agrawal S, Ahmadi A, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemi RO, Akseer N, Al-Eyadhy A, Al-Shahi Salman R, Alahdab F, Alene KA, Aljunid SM, Altirkawi K, Alvis-Guzman N, Anber NH, Antonio CAT, Arabloo J, Aremu O, Ärnlöv J, Asayesh H, Asghar RJ, Atalay HT, Awasthi A, Ayala Quintanilla BP, Ayuk TB, Badawi A, Banach M, Banoub JAM, Barboza MA, Barker-Collo SL, Bärnighausen TW, Baune BT, Bedi N, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Bennett DA, Bensenor IM, Berhane A, Beuran M, Bhattacharyya K, Bhutta ZA, Biadgo B, Bijani A, Bililign N, Bin Sayeed MS, Blazes CK, Brayne C, Butt ZA, Campos-Nonato IR, Cantu-Brito C, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chang JC, Chatziralli I, Chiang PPC, Christensen H, Christopher DJ, Cooper C, Cortesi PA, Costa VM, Criqui MH, Crowe CS, Damasceno AAM, Daryani A, De la Cruz-Góngora V, De la Hoz FP, De Leo D, Demoz GT, Deribe K, Dharmaratne SD, Diaz D, Dinberu MT, Djalalinia S, Doku DT, Dubey M, Dubljanin E, Duken EE, Edvardsson D, El-Khatib Z, Endres M, Endries AY, Eskandarieh S, Esteghamati A, Esteghamati S, Farhadi F, Faro A, Farzadfar F, Farzaei MH, Fatima B, Fereshtehnejad SM, Fernandes E, Feyissa GT, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe FG, Garcia-Gordillo MA, Gebre AK, Gebremichael TG, Gelaw BK, Geleijnse JM, Geremew D, Gezae KE, Ghasemi-Kasman M, Gidey MY, Gill PS, Gill TK, Girma ET, Gnedovskaya EV, Goulart AC, Grada A, Grosso G, Guo Y, Gupta R, Gupta R, Haagsma JA, Hagos TB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Hankey GJ, Hao Y, Haro JM, Hassankhani H, Hassen HY, Havmoeller R, Hay SI, Hegazy MI, Heidari B, Henok A, Heydarpour F, Hoang CL, Hole MK, Homaie Rad E, Hosseini SM, Hu G, Igumbor EU, Ilesanmi OS, Irvani SSN, Islam SMS, Jakovljevic M, Javanbakht M, Jha RP, Jobanputra YB, Jonas JB, Jozwiak JJ, Jürisson M, Kahsay A, Kalani R, Kalkonde Y, Kamil TA, Kanchan T, Karami M, Karch A, Karimi N, Kasaeian A, Kassa TD, Kassa ZY, Kaul A, Kefale AT, Keiyoro PN, Khader YS, Khafaie MA, Khalil IA, Khan EA, Khang YH, Khazaie H, Kiadaliri AA, Kiirithio DN, Kim AS, Kim D, Kim YE, Kim YJ, Kisa A, Kokubo Y, Koyanagi A, Krishnamurthi RV, Kuate Defo B, Kucuk Bicer B, Kumar M, Lacey B, Lafranconi A, Lansingh VC, Latifi A, Leshargie CT, Li S, Liao Y, Linn S, Lo WD, Lopez JCF, Lorkowski S, Lotufo PA, Lucas RM, Lunevicius R, Mackay MT, Mahotra NB, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malta DC, Manafi N, Mansournia MA, Mantovani LG, März W, Mashamba-Thompson TP, Massenburg BB, Mate KKV, McAlinden C, McGrath JJ, Mehta V, Meier T, Meles HG, Melese A, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohajer B, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadi-Khanaposhtani M, Mohammadibakhsh R, Mohammadnia-Afrouzi M, Mohammed S, Mohebi F, Mokdad AH, Monasta L, Mondello S, Moodley Y, Moosazadeh M, Moradi G, Moradi-Lakeh M, Moradinazar M, Moraga P, Moreno Velásquez I, Morrison SD, Mousavi SM, Muhammed OS, Muruet W, Musa KI, Mustafa G, Naderi M, Nagel G, Naheed A, Naik G, Najafi F, Nangia V, Negoi I, Negoi RI, Newton CRJ, Ngunjiri JW, Nguyen CT, Nguyen LH, Ningrum DNA, Nirayo YL, Nixon MR, Norrving B, Noubiap JJ, Nourollahpour Shiadeh M, Nyasulu PS, Ogah OS, Oh IH, Olagunju AT, Olagunju TO, Olivares PR, Onwujekwe OE, Oren E, Owolabi MO, PA M, Pakpour AH, Pan WH, Panda-Jonas S, Pandian JD, Patel SK, Pereira DM, Petzold M, Pillay JD, Piradov MA, Polanczyk GV, Polinder S, Postma MJ, Poulton R, Poustchi H, Prakash S, Prakash V, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rajati F, Ram U, Ranta A, Rawaf DL, Rawaf S, Reinig N, Reis C, Renzaho AMN, Resnikoff S, Rezaeian S, Rezai MS, Rios González CM, Roberts NLS, Roever L, Ronfani L, Roro EM, Roshandel G, Rostami A, Sabbagh P, Sacco RL, Sachdev PS, Saddik B, Safari H, Safari-Faramani R, Safi S, Safiri S, Sagar R, Sahathevan R, Sahebkar A, Sahraian MA, Salamati P, Salehi Zahabi S, Salimi Y, Samy AM, Sanabria J, Santos IS, Santric Milicevic MM, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Schneider IJC, Schöttker B, Schwebel DC, Seedat S, Sepanlou SG, Shabaninejad H, Shafieesabet A, Shaikh MA, Shakir RA, Shams-Beyranvand M, Shamsizadeh M, Sharif M, Sharif-Alhoseini M, She J, Sheikh A, Sheth KN, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Siabani S, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silberberg DH, Silva JP, Silveira DGA, Singh JA, Sinha DN, Skiadaresi E, Smith M, Sobaih BH, Sobhani S, Soofi M, Soyiri IN, Sposato LA, Stein DJ, Stein MB, Stokes MA, Sufiyan MB, Sykes BL, Sylaja PN, Tabarés-Seisdedos R, Te Ao BJ, Tehrani-Banihashemi A, Temsah MH, Temsah O, Thakur JS, Thrift AG, Topor-Madry R, Tortajada-Girbés M, Tovani-Palone MR, Tran BX, Tran KB, Truelsen TC, Tsadik AG, Tudor Car L, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Valdez PR, Vasankari TJ, Vasanthan R, Veisani Y, Venketasubramanian N, Violante FS, Vlassov V, Vosoughi K, Vu GT, Vujcic IS, Wagnew FS, Waheed Y, Wang YP, Weiderpass E, Weiss J, Whiteford HA, Wijeratne T, Winkler AS, Wiysonge CS, Wolfe CDA, Xu G, Yadollahpour A, Yamada T, Yano Y, Yaseri M, Yatsuya H, Yimer EM, Yip P, Yisma E, Yonemoto N, Yousefifard M, Yu C, Zaidi Z, Zaman SB, Zamani M, Zandian H, Zare Z, Zhang Y, Zodpey S, Naghavi M, Murray CJL, Vos T. Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:459-480. [PMID: 30879893 PMCID: PMC6459001 DOI: 10.1016/s1474-4422(18)30499-x] [Citation(s) in RCA: 2297] [Impact Index Per Article: 459.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/31/2018] [Accepted: 12/12/2018] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. METHODS We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. FINDINGS Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable). INTERPRETATION Globally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies. FUNDING Bill & Melinda Gates Foundation.
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Johnson CO, Nguyen M, Roth GA, Nichols E, Alam T, Abate D, Abd-Allah F, Abdelalim A, Abraha HN, Abu-Rmeileh NME, Adebayo OM, Adeoye AM, Agarwal G, Agrawal S, Aichour AN, Aichour I, Aichour MTE, Alahdab F, Ali R, Alvis-Guzman N, Anber NH, Anjomshoa M, Arabloo J, Arauz A, Ärnlöv J, Arora A, Awasthi A, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Belachew AB, Belayneh YM, Bennett DA, Bensenor IM, Bhattacharyya K, Biadgo B, Bijani A, Bikbov B, Bin Sayeed MS, Butt ZA, Cahuana-Hurtado L, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castro F, Catalá-López F, Chaiah Y, Chiang PPC, Choi JYJ, Christensen H, Chu DT, Cortinovis M, Damasceno AAM, Dandona L, Dandona R, Daryani A, Davletov K, de Courten B, De la Cruz-Góngora V, Degefa MG, Dharmaratne SD, Diaz D, Dubey M, Duken EE, Edessa D, Endres M, FARAON EMERITOJOSEA, Farzadfar F, Fernandes E, Fischer F, Flor LS, Ganji M, Gebre AK, Gebremichael TG, Geta B, Gezae KE, Gill PS, Gnedovskaya EV, Gómez-Dantés H, Goulart AC, Grosso G, Guo Y, Gupta R, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Hankey GJ, Hassen HY, Hay SI, Hegazy MI, Heidari B, Herial NA, Hosseini MA, Hostiuc S, Irvani SSN, Islam SMS, Jahanmehr N, Javanbakht M, Jha RP, Jonas JB, Jozwiak JJ, Jürisson M, Kahsay A, Kalani R, Kalkonde Y, Kamil TA, Kanchan T, Karch A, Karimi N, Karimi-Sari H, Kasaeian A, Kassa TD, Kazemeini H, Kefale AT, Khader YS, Khalil IA, Khan EA, Khang YH, Khubchandani J, Kim D, Kim YJ, Kisa A, Kivimäki M, Koyanagi A, Krishnamurthi RK, Kumar GA, Lafranconi A, Lewington S, Li S, Lo WD, Lopez AD, Lorkowski S, Lotufo PA, Mackay MT, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Manafi N, Mansournia MA, Mehndiratta MM, Mehta V, Mengistu G, Meretoja A, Meretoja TJ, Miazgowski B, Miazgowski T, Miller TR, Mirrakhimov EM, Mohajer B, Mohammad Y, Mohammadoo-khorasani M, Mohammed S, Mohebi F, Mokdad AH, Mokhayeri Y, Moradi G, Morawska L, Moreno Velásquez I, Mousavi SM, Muhammed OSS, Muruet W, Naderi M, Naghavi M, Naik G, Nascimento BR, Negoi RI, Nguyen CT, Nguyen LH, Nirayo YL, Norrving B, Noubiap JJ, Ofori-Asenso R, Ogbo FA, Olagunju AT, Olagunju TO, Owolabi MO, Pandian JD, Patel S, Perico N, Piradov MA, Polinder S, Postma MJ, Poustchi H, Prakash V, Qorbani M, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar V, Rahman M, Rahman MA, Reis C, Remuzzi G, Renzaho AM, Ricci S, Roberts NLS, Robinson SR, Roever L, Roshandel G, Sabbagh P, Safari H, Safari S, Safiri S, Sahebkar A, Salehi Zahabi S, Samy AM, Santalucia P, Santos IS, Santos JV, Santric Milicevic MM, Sartorius B, Sawant AR, Schutte AE, Sepanlou SG, Shafieesabet A, Shaikh MA, Shams-Beyranvand M, Sheikh A, Sheth KN, Shibuya K, Shigematsu M, Shin MJ, Shiue I, Siabani S, Sobaih BH, Sposato LA, Sutradhar I, Sylaja PN, Szoeke CEI, Te Ao BJ, Temsah MH, Temsah O, Thrift AG, Tonelli M, Topor-Madry R, Tran BX, Tran KB, Truelsen TC, Tsadik AG, Ullah I, Uthman OA, Vaduganathan M, Valdez PR, Vasankari TJ, Vasanthan R, Venketasubramanian N, Vosoughi K, Vu GT, Waheed Y, Weiderpass E, Weldegwergs KG, Westerman R, Wolfe CDA, Wondafrash DZ, Xu G, Yadollahpour A, Yamada T, Yatsuya H, Yimer EM, Yonemoto N, Yousefifard M, Yu C, Zaidi Z, Zamani M, Zarghi A, Zhang Y, Zodpey S, Feigin VL, Vos T, Murray CJL. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:439-458. [PMID: 30871944 PMCID: PMC6494974 DOI: 10.1016/s1474-4422(19)30034-1] [Citation(s) in RCA: 1682] [Impact Index Per Article: 336.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 12/17/2018] [Accepted: 01/18/2019] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016. METHODS We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles. FINDINGS In 2016, there were 5·5 million (95% UI 5·3 to 5·7) deaths and 116·4 million (111·4 to 121·4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36·2% (-39·3 to -33·6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34·2% (-37·2 to -31·5), also with decreases in all SDI quintiles. There were 13·7 million (12·7 to 14·7) new stroke cases in 2016. Global age-standardised incidence declined by 8·1% (-10·7 to -5·5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80·1 million (74·1 to 86·3) prevalent cases of stroke globally in 2016; 41·1 million (38·0 to 44·3) in women and 39·0 million (36·1 to 42·1) in men. INTERPRETATION Although age-standardised mortality rates have decreased sharply from 1990 to 2016, the decrease in age-standardised incidence has been less steep, indicating that the burden of stroke is likely to remain high. Planned updates to future GBD iterations include generating separate estimates for subarachnoid haemorrhage and intracerebral haemorrhage, generating estimates of transient ischaemic attack, and including atrial fibrillation as a risk factor. FUNDING Bill & Melinda Gates Foundation.
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Observational Application Comparing Problem-Based Learning with the Conventional Teaching Method for Clinical Acupuncture Education. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2019; 2019:2102304. [PMID: 31011356 PMCID: PMC6442311 DOI: 10.1155/2019/2102304] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/12/2019] [Accepted: 03/11/2019] [Indexed: 11/18/2022] [Imported: 10/13/2023]
Abstract
Aim Although the problem-based learning (PBL) teaching method was introduced in 1969, its rapid and widespread application in Malaysia started in 1979. This study aimed to evaluate satisfaction with PBL compared to that of conventional learning, using satisfaction surveys and the Rosenberg Self-Esteem scores, of students learning clinical acupuncture at the School of Traditional Chinese Medicine (TCM), Xiamen University Malaysia. Method The participants of this study (N=36) were registered for a bachelor's degree program in TCM in 2016 and enrolled in the Science of Acupuncture and Moxibustion course beginning in September 2018. The students were randomly allocated into two groups: PBL group and conventional group. A self-administered learning satisfaction survey and the Rosenberg Self-Esteem scores were used for data collection. An independent sample t-test was used to compare the results between the two groups. A p-value <0.05 was considered significant. Results The results of the learning satisfaction survey and Rosenberg Self-Esteem scores were significantly better in the PBL group than in the conventional group (p<0.05). Conclusions PBL appears to be more effective for clinical acupuncture education than the conventional teaching method. However, further studies are needed to identify the mechanisms by which PBL excels in clinical acupuncture education, as well as other related TCM fields.
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Global, regional, and national burden of brain and other CNS cancer, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:376-393. [PMID: 30797715 PMCID: PMC6416167 DOI: 10.1016/s1474-4422(18)30468-x] [Citation(s) in RCA: 307] [Impact Index Per Article: 61.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/25/2018] [Accepted: 11/22/2018] [Indexed: 02/07/2023] [Imported: 10/13/2023]
Abstract
Background Brain and CNS cancers (collectively referred to as CNS cancers) are a source of mortality and morbidity for which diagnosis and treatment require extensive resource allocation and sophisticated diagnostic and therapeutic technology. Previous epidemiological studies are limited to specific geographical regions or time periods, making them difficult to compare on a global scale. In this analysis, we aimed to provide a comparable and comprehensive estimation of the global burden of brain cancer between 1990 and 2016. Methods We report means and 95% uncertainty intervals (UIs) for incidence, mortality, and disability-adjusted life-years (DALYs) estimates for CNS cancers (according to the International Classification of Diseases tenth revision: malignant neoplasm of meninges, malignant neoplasm of brain, and malignant neoplasm of spinal cord, cranial nerves, and other parts of CNS) from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. Data sources include vital registration and cancer registry data. Mortality was modelled using an ensemble model approach. Incidence was estimated by dividing the final mortality estimates by mortality to incidence ratios. DALYs were estimated by summing years of life lost and years lived with disability. Locations were grouped into quintiles based on the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. Findings In 2016, there were 330 000 (95% UI 299 000 to 349 000) incident cases of CNS cancer and 227 000 (205 000 to 241 000) deaths globally, and age-standardised incidence rates of CNS cancer increased globally by 17·3% (95% UI 11·4 to 26·9) between 1990 and 2016 (2016 age-standardised incidence rate 4·63 per 100 000 person-years [4·17 to 4·90]). The highest age-standardised incidence rate was in the highest quintile of SDI (6·91 [5·71 to 7·53]). Age-standardised incidence rates increased with each SDI quintile. East Asia was the region with the most incident cases of CNS cancer for both sexes in 2016 (108 000 [95% UI 98 000 to 122 000]), followed by western Europe (49 000 [37 000 to 54 000]), and south Asia (31 000 [29 000 to 37 000]). The top three countries with the highest number of incident cases were China, the USA, and India. CNS cancer was responsible for 7·7 million (95% UI 6·9 to 8·3) DALYs globally, a non-significant change in age-standardised DALY rate of −10·0% (−16·4 to 2·6) between 1990 and 2016. The age-standardised DALY rate decreased in the high SDI quintile (−10·0% [–27·1 to −0·1]) and high-middle SDI quintile (−10·5% [–18·4 to −1·4]) over time but increased in the low SDI quintile (22·5% [11·2 to 50·5]). Interpretation CNS cancer is responsible for substantial morbidity and mortality worldwide, and incidence increased between 1990 and 2016. Significant geographical and regional variation in the incidence of CNS cancer might be reflective of differences in diagnoses and reporting practices or unknown environmental and genetic risk factors. Future efforts are needed to analyse CNS cancer burden by subtype. Funding Bill & Melinda Gates Foundation.
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Kim Y, Lim C, Lim S, Wong G, Qian L. The taoism philosophy within traditional chinese medicine: The Relation between Huang Di Nei Jing (《黄帝内经》 Yellow Emperor's Inner Classic) and Dao De Jing (《道德经》 Tao Te Jing). CHINESE MEDICINE AND CULTURE 2019. [DOI: 10.4103/cmac.cmac_45_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] [Imported: 10/13/2023] Open
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Feigin VL, Nguyen G, Cercy K, Johnson CO, Alam T, Parmar PG, Abajobir AA, Abate KH, Abd-Allah F, Abejie AN, Abyu GY, Ademi Z, Agarwal G, Ahmed MB, Akinyemi RO, Al-Raddadi R, Aminde LN, Amlie-Lefond C, Ansari H, Asayesh H, Asgedom SW, Atey TM, Ayele HT, Banach M, Banerjee A, Barac A, Barker-Collo SL, Bärnighausen T, Barregard L, Basu S, Bedi N, Behzadifar M, Béjot Y, Bennett DA, Bensenor IM, Berhe DF, Boneya DJ, Brainin M, Campos-Nonato IR, Caso V, Castañeda-Orjuela CA, Rivas JC, Catalá-López F, Christensen H, Criqui MH, Damasceno A, Dandona L, Dandona R, Davletov K, de Courten B, deVeber G, Dokova K, Edessa D, Endres M, Faraon EJA, Farvid MS, Fischer F, Foreman K, Forouzanfar MH, Gall SL, Gebrehiwot TT, Geleijnse JM, Gillum RF, Giroud M, Goulart AC, Gupta R, Gupta R, Hachinski V, Hamadeh RR, Hankey GJ, Hareri HA, Havmoeller R, Hay SI, Hegazy MI, Hibstu DT, James SL, Jeemon P, John D, Jonas JB, Jóźwiak J, Kalani R, Kandel A, Kasaeian A, Kengne AP, Khader YS, Khan AR, Khang YH, Khubchandani J, Kim D, Kim YJ, Kivimaki M, Kokubo Y, Kolte D, Kopec JA, Kosen S, Kravchenko M, Krishnamurthi R, Kumar GA, Lafranconi A, Lavados PM, Legesse Y, Li Y, Liang X, Lo WD, Lorkowski S, Lotufo PA, Loy CT, Mackay MT, Abd El Razek HM, Mahdavi M, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Mantovani LG, Martins SCO, Mate KK, Mazidi M, Mehata S, Meier T, Melaku YA, Mendoza W, Mensah GA, Meretoja A, Mezgebe HB, Miazgowski T, Miller TR, Ibrahim NM, Mohammed S, Mokdad AH, Moosazadeh M, Moran AE, Musa KI, Negoi RI, Nguyen M, Nguyen QL, Nguyen TH, Tran TT, Nguyen TT, Anggraini Ningrum DN, Norrving B, Noubiap JJ, O’Donnell MJ, Olagunju AT, Onuma OK, Owolabi MO, Parsaeian M, Patton GC, Piradov M, Pletcher MA, Pourmalek F, Prakash V, Qorbani M, Rahman M, Rahman MA, Rai RK, Ranta A, Rawaf D, Rawaf S, Renzaho AMN, Robinson SR, Sahathevan R, Sahebkar A, Salomon JA, Santalucia P, Santos IS, Sartorius B, Schutte AE, Sepanlou SG, Shafieesabet A, Shaikh MA, Shamsizadeh M, Sheth KN, Sisay M, Shin MJ, Shiue I, Silva DAS, Sobngwi E, Soljak M, Sorensen RJD, Sposato LA, Stranges S, Suliankatchi RA, Tabarés-Seisdedos R, Tanne D, Nguyen CT, Thakur JS, Thrift AG, Tirschwell DL, Topor-Madry R, Tran BX, Nguyen LT, Truelsen T, Tsilimparis N, Tyrovolas S, Ukwaja KN, Uthman OA, Varakin Y, Vasankari T, Venketasubramanian N, Vlassov VV, Wang W, Werdecker A, Wolfe CDA, Xu G, Yano Y, Yonemoto N, Yu C, Zaidi Z, El Sayed Zaki M, Zhou M, Ziaeian B, Zipkin B, Vos T, Naghavi M, Murray CJL, Roth GA. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016. N Engl J Med 2018; 379:2429-2437. [PMID: 30575491 PMCID: PMC6247346 DOI: 10.1056/nejmoa1804492] [Citation(s) in RCA: 864] [Impact Index Per Article: 144.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] [Imported: 10/13/2023]
Abstract
BACKGROUND The lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases. METHODS We used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate. RESULTS The estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation. CONCLUSIONS In 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
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Logroscino G, Piccininni M, Marin B, Nichols E, Abd-Allah F, Abdelalim A, Alahdab F, Asgedom SW, Awasthi A, Chaiah Y, Daryani A, Do HP, Dubey M, Elbaz A, Eskandarieh S, Farhadi F, Farzadfar F, Fereshtehnejad SM, Fernandes E, Filip I, Foreman KJ, Gebre AK, Gnedovskaya EV, Hamidi S, Hay SI, Irvani SSN, Ji JS, Kasaeian A, Kim YJ, Mantovani LG, Mashamba-Thompson TP, Mehndiratta MM, Mokdad AH, Nagel G, Nguyen TH, Nixon MR, Olagunju AT, Owolabi MO, Piradov MA, Qorbani M, Radfar A, Reiner RC, Sahraian MA, Sarvi S, Sharif M, Temsah O, Tran BX, Truong NT, Venketasubramanian N, Winkler AS, Yimer EM, Feigin VL, Vos T, Murray CJL. Global, regional, and national burden of motor neuron diseases 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2018; 17:1083-1097. [PMID: 30409709 PMCID: PMC6234315 DOI: 10.1016/s1474-4422(18)30404-6] [Citation(s) in RCA: 149] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 09/26/2018] [Accepted: 10/22/2018] [Indexed: 12/11/2022] [Imported: 10/13/2023]
Abstract
BACKGROUND Understanding how prevalence, incidence, and mortality of motor neuron diseases change over time and by location is crucial for understanding the causes of these disorders and for health-care planning. Our aim was to produce estimates of incidence, prevalence, and disability-adjusted life-years (DALYs) for motor neuron diseases for 195 countries and territories from 1990 to 2016 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016. METHODS The motor neuron diseases included in this study were amyotrophic lateral sclerosis, spinal muscular atrophy, hereditary spastic paraplegia, primary lateral sclerosis, progressive muscular atrophy, and pseudobulbar palsy. Incidence, prevalence, and DALYs were estimated using a Bayesian meta-regression model. We analysed 14 165 site-years of vital registration cause of death data using the GBD 2016 cause of death ensemble model. The 84 risk factors quantified in GBD 2016 were tested for an association with incidence or death from motor neuron diseases. We also explored the relationship between Socio-demographic Index (SDI; a compound measure of income per capita, education, and fertility) and age-standardised DALYs of motor neuron diseases. FINDINGS In 2016, globally, 330 918 (95% uncertainty interval [UI] 299 522-367 254) individuals had a motor neuron disease. Motor neuron diseases have caused 926 090 (881 566-961 758) DALYs and 34 325 (33 051-35 364) deaths in 2016. The worldwide all-age prevalence was 4·5 (4·1-5·0) per 100 000 people, with an increase in age-standardised prevalence of 4·5% (3·4-5·7) over the study period. The all-age incidence was 0·78 (95% UI 0·71-0·86) per 100 000 person-years. No risk factor analysed in GBD showed an association with motor neuron disease incidence. The largest age-standardised prevalence was in high SDI regions: high-income North America (16·8, 95% UI 15·8-16·9), Australasia (14·7, 13·5-16·1), and western Europe (12·9, 11·7-14·1). However, the prevalence and incidence were lower than expected based on SDI in high-income Asia Pacific. INTERPRETATION Motor neuron diseases have low prevalence and incidence, but cause severe disability with a high fatality rate. Incidence of motor neuron diseases has geographical heterogeneity, which is not explained by any risk factors quantified in GBD, suggesting other unmeasured risk factors might have a role. Between 1990 and 2016, the burden of motor neuron diseases has increased substantially. The estimates presented here, as well as future estimates based on data from a greater number of countries, will be important in the planning of services for people with motor neuron diseases worldwide. FUNDING Bill & Melinda Gates Foundation.
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Kyu HH, Maddison ER, Henry NJ, Ledesma JR, Wiens KE, Reiner R, Biehl MH, Shields C, Osgood-Zimmerman A, Ross JM, Carter A, Frank TD, Wang H, Srinivasan V, Agarwal SK, Alahdab F, Alene KA, Ali BA, Alvis-Guzman N, Andrews JR, Antonio CAT, Atique S, Atre SR, Awasthi A, Ayele HT, Badali H, Badawi A, Barac A, Bedi N, Behzadifar M, Behzadifar M, Bekele BB, Belay SA, Bensenor IM, Butt ZA, Carvalho F, Cercy K, Christopher DJ, Daba AK, Dandona L, Dandona R, Daryani A, Demeke FM, Deribe K, Dharmaratne SD, Doku DT, Dubey M, Edessa D, El-Khatib Z, Enany S, Fernandes E, Fischer F, Garcia-Basteiro AL, Gebre AK, Gebregergs GB, Gebremichael TG, Gelano TF, Geremew D, Gona PN, Goodridge A, Gupta R, Haghparast Bidgoli H, Hailu GB, Hassen HY, Hedayati MTT, Henok A, Hostiuc S, Hussen MA, Ilesanmi OS, Irvani SSN, Jacobsen KH, Johnson SC, Jonas JB, Kahsay A, Kant S, Kasaeian A, Kassa TD, Khader YS, Khafaie MA, Khalil I, Khan EA, Khang YH, Kim YJ, Kochhar S, Koyanagi A, Krohn KJ, Kumar GA, Lakew AM, Leshargie CT, Lodha R, Macarayan ERK, Majdzadeh R, Martins-Melo FR, Melese A, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mestrovic T, Moazen B, Mohammad KA, Mohammed S, Mokdad AH, Moosazadeh M, Mousavi SM, Mustafa G, Nachega JB, Nguyen LH, Nguyen SH, Nguyen TH, Ningrum DNA, Nirayo YL, Nong VM, Ofori-Asenso R, Ogbo FA, Oh IH, Oladimeji O, Olagunju AT, Oren E, Pereira DM, Prakash S, Qorbani M, Rafay A, Rai RK, Ram U, Rubino S, Safiri S, Salomon JA, Samy AM, Sartorius B, Satpathy M, Seyedmousavi S, Sharif M, Silva JP, Silveira DGA, Singh JA, Sreeramareddy CT, Tran BX, Tsadik AG, Ukwaja KN, Ullah I, Uthman OA, Vlassov V, Vollset SE, Vu G, Weldegebreal F, Werdecker A, Yimer EM, Yonemoto N, Yotebieng M, Naghavi M, Vos T, Hay SI, Murray CJL. Global, regional, and national burden of tuberculosis, 1990-2016: results from the Global Burden of Diseases, Injuries, and Risk Factors 2016 Study. THE LANCET. INFECTIOUS DISEASES 2018; 18:1329-1349. [PMID: 30507459 PMCID: PMC6250050 DOI: 10.1016/s1473-3099(18)30625-x] [Citation(s) in RCA: 120] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Revised: 10/09/2018] [Accepted: 10/10/2018] [Indexed: 12/15/2022] [Imported: 10/13/2023]
Abstract
BACKGROUND Although a preventable and treatable disease, tuberculosis causes more than a million deaths each year. As countries work towards achieving the Sustainable Development Goal (SDG) target to end the tuberculosis epidemic by 2030, robust assessments of the levels and trends of the burden of tuberculosis are crucial to inform policy and programme decision making. We assessed the levels and trends in the fatal and non-fatal burden of tuberculosis by drug resistance and HIV status for 195 countries and territories from 1990 to 2016. METHODS We analysed 15 943 site-years of vital registration data, 1710 site-years of verbal autopsy data, 764 site-years of sample-based vital registration data, and 361 site-years of mortality surveillance data to estimate mortality due to tuberculosis using the Cause of Death Ensemble model. We analysed all available data sources, including annual case notifications, prevalence surveys, population-based tuberculin surveys, and estimated tuberculosis cause-specific mortality to generate internally consistent estimates of incidence, prevalence, and mortality using DisMod-MR 2.1, a Bayesian meta-regression tool. We assessed how the burden of tuberculosis differed from the burden predicted by the Socio-demographic Index (SDI), a composite indicator of income per capita, average years of schooling, and total fertility rate. FINDINGS Globally in 2016, among HIV-negative individuals, the number of incident cases of tuberculosis was 9·02 million (95% uncertainty interval [UI] 8·05-10·16) and the number of tuberculosis deaths was 1·21 million (1·16-1·27). Among HIV-positive individuals, the number of incident cases was 1·40 million (1·01-1·89) and the number of tuberculosis deaths was 0·24 million (0·16-0·31). Globally, among HIV-negative individuals the age-standardised incidence of tuberculosis decreased annually at a slower rate (-1·3% [-1·5 to -1·2]) than mortality did (-4·5% [-5·0 to -4·1]) from 2006 to 2016. Among HIV-positive individuals during the same period, the rate of change in annualised age-standardised incidence was -4·0% (-4·5 to -3·7) and mortality was -8·9% (-9·5 to -8·4). Several regions had higher rates of age-standardised incidence and mortality than expected on the basis of their SDI levels in 2016. For drug-susceptible tuberculosis, the highest observed-to-expected ratios were in southern sub-Saharan Africa (13·7 for incidence and 14·9 for mortality), and the lowest ratios were in high-income North America (0·4 for incidence) and Oceania (0·3 for mortality). For multidrug-resistant tuberculosis, eastern Europe had the highest observed-to-expected ratios (67·3 for incidence and 73·0 for mortality), and high-income North America had the lowest ratios (0·4 for incidence and 0·5 for mortality). INTERPRETATION If current trends in tuberculosis incidence continue, few countries are likely to meet the SDG target to end the tuberculosis epidemic by 2030. Progress needs to be accelerated by improving the quality of and access to tuberculosis diagnosis and care, by developing new tools, scaling up interventions to prevent risk factors for tuberculosis, and integrating control programmes for tuberculosis and HIV. FUNDING Bill & Melinda Gates Foundation.
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Abstract
[This corrects the article DOI: 10.1016/S0140-6736(18)32203-7.].
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