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Background: In light of the increasing trend in the global number of individuals affected by dementia and the lack of any available disease-modifying therapies, it is necessary to fully understand and quantify the global burden of dementia. This work aimed to estimate the proportion of dementia due to Down syndrome, Parkinson's disease, clinical stroke, and traumatic brain injury (TBI), globally and by world region, in order to better understand the contribution of clinical diseases to dementia prevalence. Methods: Through literature review, we obtained data on the relative risk of dementia with each condition and estimated relative risks by age using a Bayesian meta-regression tool. We then calculated population attributable fractions (PAFs), or the proportion of dementia attributable to each condition, using the estimates of relative risk and prevalence estimates for each condition from the Global Burden of Disease Study 2019. Finally, we multiplied these estimates by dementia prevalence to calculate the number of dementia cases attributable to each condition. Findings: For each clinical condition, the relative risk of dementia decreased with age. Relative risks were highest for Down syndrome, followed by Parkinson's disease, stroke, and TBI. However, due to the high prevalence of stroke, the PAF for dementia due to stroke was highest. Together, Down syndrome, Parkinson's disease, stroke, and TBI explained 10.0% (95% UI: 6.0-16.5) of the global prevalence of dementia. Interpretation: Ten percent of dementia prevalence globally could be explained by Down syndrome, Parkinson's disease, stroke, and TBI. The quantification of the proportion of dementia attributable to these 4 conditions constitutes a small contribution to our overall understanding of what causes dementia. However, epidemiological research into modifiable risk factors as well as basic science research focused on elucidating intervention approaches to prevent or delay the neuropathological changes that commonly characterize dementia will be critically important in future efforts to prevent and treat disease.
Nichols, E., Abd-Allah, F., Abdoli, A., Abu-Gharbieh, E., D Adelson, J., Olusola Akinyemi, R., et al. (2021). The Burden of Dementia due to down Syndrome, Parkinson's Disease, Stroke, and Traumatic Brain Injury: A Systematic Analysis for the Global Burden of Disease Study 2019. NEUROEPIDEMIOLOGY, 55(4), 286-296 [10.1159/000515393].
The Burden of Dementia due to down Syndrome, Parkinson's Disease, Stroke, and Traumatic Brain Injury: A Systematic Analysis for the Global Burden of Disease Study 2019
Emma Nichols;Foad Abd-Allah;Amir Abdoli;Eman Abu-Gharbieh;Jaimie D Adelson;Rufus Olusola Akinyemi;Fahad Mashhour Alanezi;Vahid Alipour;Jalal Arabloo;Getinet Ayano;Atif Amin Baig;Maciej Banach;Miguel A Barboza;Suzanne Lyn Barker-Collo;Bernhard T Baune;Akshaya Srikanth Bhagavathula;Krittika Bhattacharyya;Ali Bijani;Antonio Biondi;Atanu Biswas;Srinivasa Rao Bolla;Archith Boloor;Carol Brayne;Hermann Brenner;Katrin Burkart;Richard A Burns;Sharath Burugina Nagaraja;Luis Alberto Cámera;Felix Carvalho;Luis F S Castro-de-Araujo;Ester Cerin;Achille Cernigliaro;Nicolas Cherbuin;Jee-Young Jasmine Choi;Dinh-Toi Chu;Rosa A S Couto;Baye Dagnew;Anh Kim Dang;Daniel Diaz;Zahra Sadat Dibaji Forooshani;Shirin Djalalinia;Paul Narh Doku;Shaimaa I El-Jaafary;Khalil Eskandari;Sharareh Eskandarieh;Farshad Farzadfar;Valery L Feigin;Seyed-Mohammad Fereshtehnejad;Eduarda Fernandes;Pietro Ferrara;Irina Filip;Florian Fischer;Shilpa Gaidhane;Ahmad Ghashghaee;Alessandro Gialluisi;Elena V Gnedovskaya;Mahaveer Golechha;Mohammad Rifat Haider;Samer Hamidi;Graeme J Hankey;Amr Hassan;Simon I Hay;Mohamed I Hegazy;Golnaz Heidari;Reza Heidari-Soureshjani;Mowafa Househ;Bing-Fang Hwang;Licia Iacoviello;Olayinka Stephen Ilesanmi;Irena M Ilic;Milena D Ilic;Seyed Sina Naghibi Irvani;M Mofizul Islam;Hiroyasu Iso;Masao Iwagami;Ravi Prakash Jha;Jost B Jonas;Jacek Jerzy Jozwiak;Rizwan Kalani;André Karch;Ayele Semachew Kasa;Mahalaqua Nazli Khatib;Yun Jin Kim;Adnan Kisa;Sezer Kisa;Ai Koyanagi;Walter A Kukull;Manasi Kumar;Iván Landires;Kate E LeGrand;Matilde Leonardi;Bingyu Li;Xuefeng Liu;Giancarlo Logroscino;Stefan Lorkowski;Hawraz Ibrahim M. Amin;Shilpashree Madhava Kunjathur;Narayana Manjunatha;Birhanu Geta Meharie;Man Mohan Mehndiratta;Workua Mekonnen Metekiya;Norlinah Mohamed Ibrahim;Yousef Mohammad;Salahuddin Mohammed;Archisman Mohapatra;Ali H Mokdad;Stefania Mondello;Ghobad Moradi;Tilahun Belete Mossie;Gabriele Nagel;Mukhammad David Naimzada;Dr Muhammad Naveed;Vinod C Nayak;Cuong Tat Nguyen;Huong Lan Thi Nguyen;Son Hoang Nguyen;Virginia Nunez-Samudio;Andrew T Olagunju;Sergej M Ostojic;Samuel M Ostroff;Nikita Otstavnov;Stanislav S Otstavnov;Mayowa O Owolabi;Songhomitra Panda-Jonas;Urvish K Patel;Mona Pathak;Hamidreza Pazoki Toroudi;Carrie B Peterson;Hai Quang Pham;Marina Pinheiro;Michael A Piradov;Faheem Hyder Pottoo;Akram Pourshams;Sergio I Prada;Dimas Ria Angga Pribadi;Amir Radfar;Alberto Raggi;Fakher Rahim;Pradhum Ram;Juwel Rana;Vahid Rashedi;David Laith Rawaf;Salman Rawaf;Nickolas Reinig;Nima Rezaei;Aziz Rezapour;Stephen R Robinson;Michele Romoli;Gholamreza Roshandel;Perminder S Sachdev;Amirhossein Sahebkar;Mohammad Ali Sahraian;Davide Sattin;Monika Sawhney;Mete Saylan;Silvia Schiavolin;Feng Sha;Izza Shahid;Masood Ali Shaikh;David H Shaw;Mika Shigematsu;Jae Il Shin;Rahman Shiri;Tariq Jamal Siddiqi;João Pedro Silva;Jasvinder A Singh;Deepika Singhal;Amin Soheili;Cassandra E I Szoeke;Rafael Tabarés-Seisdedos;Biruk Wogayehu Taddele;Bhaskar Thakur;Marcos Roberto Tovani-Palone;Bach Xuan Tran;Ravensara S Travillian;Gebiyaw Wudie Tsegaye;Muhammad Shariq Usman;Marco Vacante;Pascual R Valdez;Diana Zuleika Velazquez;Narayanaswamy Venketasubramanian;Vasily Vlassov;Giang Thu Vu;Yuan-Pang Wang;Abrha Hailay Weldemariam;Ronny Westerman;Chenkai Wu;Ali Yadollahpour;Kazumasa Yamagishi;Yuichiro Yano;Yordanos Gizachew Yeshitila;Naohiro Yonemoto;Chuanhua Yu;Zhi-Jiang Zhang;Christopher J L Murray;and Theo Vos
2021
Abstract
Background: In light of the increasing trend in the global number of individuals affected by dementia and the lack of any available disease-modifying therapies, it is necessary to fully understand and quantify the global burden of dementia. This work aimed to estimate the proportion of dementia due to Down syndrome, Parkinson's disease, clinical stroke, and traumatic brain injury (TBI), globally and by world region, in order to better understand the contribution of clinical diseases to dementia prevalence. Methods: Through literature review, we obtained data on the relative risk of dementia with each condition and estimated relative risks by age using a Bayesian meta-regression tool. We then calculated population attributable fractions (PAFs), or the proportion of dementia attributable to each condition, using the estimates of relative risk and prevalence estimates for each condition from the Global Burden of Disease Study 2019. Finally, we multiplied these estimates by dementia prevalence to calculate the number of dementia cases attributable to each condition. Findings: For each clinical condition, the relative risk of dementia decreased with age. Relative risks were highest for Down syndrome, followed by Parkinson's disease, stroke, and TBI. However, due to the high prevalence of stroke, the PAF for dementia due to stroke was highest. Together, Down syndrome, Parkinson's disease, stroke, and TBI explained 10.0% (95% UI: 6.0-16.5) of the global prevalence of dementia. Interpretation: Ten percent of dementia prevalence globally could be explained by Down syndrome, Parkinson's disease, stroke, and TBI. The quantification of the proportion of dementia attributable to these 4 conditions constitutes a small contribution to our overall understanding of what causes dementia. However, epidemiological research into modifiable risk factors as well as basic science research focused on elucidating intervention approaches to prevent or delay the neuropathological changes that commonly characterize dementia will be critically important in future efforts to prevent and treat disease.
Nichols, E., Abd-Allah, F., Abdoli, A., Abu-Gharbieh, E., D Adelson, J., Olusola Akinyemi, R., et al. (2021). The Burden of Dementia due to down Syndrome, Parkinson's Disease, Stroke, and Traumatic Brain Injury: A Systematic Analysis for the Global Burden of Disease Study 2019. NEUROEPIDEMIOLOGY, 55(4), 286-296 [10.1159/000515393].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/388675
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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.
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