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IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.
Kocarnik, J., Compton, K., Dean, F., Fu, W., Gaw, B., Harvey, J., et al. (2022). Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 29 Cancer Groups from 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA ONCOLOGY, 8(3), 420-444 [10.1001/jamaoncol.2021.6987].
Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 29 Cancer Groups from 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019
Kocarnik J. M.
;Compton K.;Dean F. E.;Fu W.;Gaw B. L.;Harvey J. D.;Henrikson H. J.;Lu D.;Pennini A.;Xu R.;Ababneh E.;Abbasi-Kangevari M.;Abbastabar H.;Abd-Elsalam S. M.;Abdoli A.;Abedi A.;Abidi H.;Abolhassani H.;Adedeji I. A.;Adnani Q. E. S.;Advani S. M.;Afzal M. S.;Aghaali M.;Ahinkorah B. O.;Ahmad S.;Ahmad T.;Ahmadi A.;Ahmadi S.;Ahmed Rashid T.;Ahmed Salih Y.;Akalu G. T.;Aklilu A.;Akram T.;Akunna C. J.;Al Hamad H.;Alahdab F.;Al-Aly Z.;Ali S.;Alimohamadi Y.;Alipour V.;Aljunid S. M.;Alkhayyat M.;Almasi-Hashiani A.;Almasri N. A.;Al-Maweri S. A. A.;Almustanyir S.;Alonso N.;Alvis-Guzman N.;Amu H.;Anbesu E. W.;Ancuceanu R.;Ansari F.;Ansari-Moghaddam A.;Antwi M. H.;Anvari D.;Anyasodor A. E.;Aqeel M.;Arabloo J.;Arab-Zozani M.;Aremu O.;Ariffin H.;Aripov T.;Arshad M.;Artaman A.;Arulappan J.;Asemi Z.;Asghari Jafarabadi M.;Ashraf T.;Atorkey P.;Aujayeb A.;Ausloos M.;Awedew A. F.;Ayala Quintanilla B. P.;Ayenew T.;Azab M. A.;Azadnajafabad S.;Azari Jafari A.;Azarian G.;Azzam A. Y.;Badiye A. D.;Bahadory S.;Baig A. 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W.;Driscoll T. R.;Ebrahimi H.;Eftekharzadeh S.;El Tantawi M.;El-Abid H.;Elbarazi I.;Elhabashy H. R.;Elhadi M.;El-Jaafary S. I.;Eshrati B.;Eskandarieh S.;Esmaeilzadeh F.;Etemadi A.;Ezzikouri S.;Faisaluddin M.;Faraon E. J. A.;Fares J.;Farzadfar F.;Feroze A. H.;Ferrero S.;Ferro Desideri L.;Filip I.;Fischer F.;Fisher J. L.;Foroutan M.;Fukumoto T.;Gaal P. A.;Gad M. M.;Gadanya M. A.;Gallus S.;Gaspar Fonseca M.;Getachew Obsa A.;Ghafourifard M.;Ghashghaee A.;Ghith N.;Gholamalizadeh M.;Gilani S. A.;Ginindza T. G.;Gizaw A. T. T.;Glasbey J. C.;Golechha M.;Goleij P.;Gomez R. S.;Gopalani S. V.;Gorini G.;Goudarzi H.;Grosso G.;Gubari M. I. M.;Guerra M. R.;Guha A.;Gunasekera D. S.;Gupta B.;Gupta V. B.;Gupta V. K.;Gutierrez R. A.;Hafezi-Nejad N.;Haider M. R.;Haj-Mirzaian A.;Halwani R.;Hamadeh R. R.;Hameed S.;Hamidi S.;Hanif A.;Haque S.;Harlianto N. I.;Haro J. M.;Hasaballah A. I.;Hassanipour S.;Hay R. J.;Hay S. I.;Hayat K.;Heidari G.;Heidari M.;Herrera-Serna B. 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L.;Koyanagi A.;Kucuk Bicer B.;Kugbey N.;Kumar G. A.;Kumar N.;Kumar N.;Kurmi O. P.;Kutluk T.;La Vecchia C.;Lami F. H.;Landires I.;Lauriola P.;Lee S. -W.;Lee S. W. H.;Lee W. -C.;Lee Y. H.;Leigh J.;Leong E.;Li J.;Li M. -C.;Liu X.;Loureiro J. A.;Lunevicius R.;Magdy Abd El Razek M.;Majeed A.;Makki A.;Male S.;Malik A. A.;Mansournia M. A.;Martini S.;Masoumi S. Z.;Mathur P.;McKee M.;Mehrotra R.;Mendoza W.;Menezes R. G.;Mengesha E. W.;Mesregah M. K.;Mestrovic T.;Miao Jonasson J.;Miazgowski B.;Miazgowski T.;Michalek I. M.;Miller T. R.;Mirzaei H.;Mirzaei H. R.;Misra S.;Mithra P.;Moghadaszadeh M.;Mohammad K. A.;Mohammad Y.;Mohammadi M.;Mohammadi S. M.;Mohammadian-Hafshejani A.;Mohammed S.;Moka N.;Mokdad A. H.;Molokhia M.;Monasta L.;Moni M. A.;Moosavi M. A.;Moradi Y.;Moraga P.;Morgado-Da-Costa J.;Morrison S. D.;Mosapour A.;Mubarik S.;Mwanri L.;Nagarajan A. J.;Nagaraju S. P.;Nagata C.;Naimzada M. D.;Nangia V.;Naqvi A. A.;Narasimha Swamy S.;Ndejjo R.;Nduaguba S. O.;Negoi I.;Negru S. M.;Neupane Kandel S.;Nguyen C. T.;Nguyen H. L. T.;Niazi R. K.;Nnaji C. A.;Noor N. M.;Nunez-Samudio V.;Nzoputam C. I.;Oancea B.;Ochir C.;Odukoya O. O.;Ogbo F. A.;Olagunju A. T.;Olakunde B. O.;Omar E.;Omar Bali A.;Omonisi A. E. E.;Ong S.;Onwujekwe O. E.;Orru H.;Ortega-Altamirano D. V.;Otstavnov N.;Otstavnov S. S.;Owolabi M. O.;P A M.;Padubidri J. R.;Pakshir K.;Pana A.;Panagiotakos D.;Panda-Jonas S.;Pardhan S.;Park E. -C.;Park E. -K.;Pashazadeh Kan F.;Patel H. K.;Patel J. R.;Pati S.;Pattanshetty S. M.;Paudel U.;Pereira D. M.;Pereira R. B.;Perianayagam A.;Pillay J. D.;Pirouzpanah S.;Pishgar F.;Podder I.;Postma M. J.;Pourjafar H.;Prashant A.;Preotescu L.;Rabiee M.;Rabiee N.;Radfar A.;Radhakrishnan R. A.;Radhakrishnan V.;Rafiee A.;Rahim F.;Rahimzadeh S.;Rahman M.;Rahman M. A.;Rahmani A. M.;Rajai N.;Rajesh A.;Rakovac I.;Ram P.;Ramezanzadeh K.;Ranabhat K.;Ranasinghe P.;Rao C. R.;Rao S. J.;Rawassizadeh R.;Razeghinia M. S.;Renzaho A. M. N.;Rezaei N.;Rezaei N.;Rezapour A.;Roberts T. J.;Rodriguez J. A. B.;Rohloff P.;Romoli M.;Ronfani L.;Roshandel G.;Rwegerera G. M.;Manjula S.;Sabour S.;Saddik B.;Saeed U.;Sahebkar A.;Sahoo H.;Salehi S.;Salem M. R.;Salimzadeh H.;Samaei M.;Samy A. M.;Sanabria J.;Sankararaman S.;Santric-Milicevic M. M.;Sardiwalla Y.;Sarveazad A.;Sathian B.;Sawhney M.;Saylan M.;Schneider I. J. C.;Sekerija M.;Seylani A.;Shafaat O.;Shaghaghi Z.;Shaikh M. A.;Shamsoddin E.;Shannawaz M.;Sharma R.;Sheikh A.;Sheikhbahaei S.;Shetty A.;Shetty J. K.;Shetty P. H.;Shibuya K.;Shirkoohi R.;Shivakumar K. M.;Shivarov V.;Siabani S.;Siddappa Malleshappa S. K.;Silva D. A. S.;Singh J. A.;Sintayehu Y.;Skryabin V. Y.;Skryabina A. A.;Soeberg M. J.;Sofi-Mahmudi A.;Sotoudeh H.;Steiropoulos P.;Straif K.;Subedi R.;Sufiyan M. B.;Sultan I.;Sultana S.;Sur D.;Szerencses V.;Szocska M.;Tabares-Seisdedos R.;Tabuchi T.;Tadbiri H.;Taherkhani A.;Takahashi K.;Talaat I. M.;Tan K. -K.;Tat V. Y.;Tedla B. A. A.;Tefera Y. G.;Tehrani-Banihashemi A.;Temsah M. -H.;Tesfay F. H.;Tessema G. A.;Thapar R.;Thavamani A.;Thoguluva Chandrasekar V.;Thomas N.;Tohidinik H. R.;Touvier M.;Tovani-Palone M. R.;Traini E.;Tran B. X.;Tran K. B.;Tran M. T. N.;Tripathy J. P.;Tusa B. S.;Ullah I.;Ullah S.;Umapathi K. K.;Unnikrishnan B.;Upadhyay E.;Vacante M.;Vaezi M.;Valadan Tahbaz S.;Velazquez D. Z.;Veroux M.;Violante F. S.;Vlassov V.;Vo B.;Volovici V.;Vu G. T.;Waheed Y.;Wamai R. G.;Ward P.;Wen Y. F.;Westerman R.;Winkler A. S.;Yadav L.;Yahyazadeh Jabbari S. H.;Yang L.;Yaya S.;Yazie T. S. Y.;Yeshaw Y.;Yonemoto N.;Younis M. Z.;Yousefi Z.;Yu C.;Yuce D.;Yunusa I.;Zadnik V.;Zare F.;Zastrozhin M. S.;Zastrozhina A.;Zhang J.;Zhong C.;Zhou L.;Zhu C.;Ziapour A.;Zimmermann I. R.;Fitzmaurice C.;Murray C. J. L.;Force L. M.
2022
Abstract
IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.
Kocarnik, J., Compton, K., Dean, F., Fu, W., Gaw, B., Harvey, J., et al. (2022). Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 29 Cancer Groups from 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA ONCOLOGY, 8(3), 420-444 [10.1001/jamaoncol.2021.6987].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/417429
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 598/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.
