{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(1)"],"submitter":["Rashidi MM"],"funding":["Bill & Melinda Gates Foundation"],"pubmed_abstract":["Background
The study aimed to estimate the attributable burden to kidney dysfunction as a metabolic risk factor in the North Africa and Middle East (NAME) region and its 21 countries in 1990-2019.Methods
The data used in this study were obtained from the Global Burden of Diseases (GBD) 2019 study, which provided estimated measures of deaths, disability-adjusted life years (DALYs), and other epidemiological indicators of burden. To provide a better insight into the differences in the level of social, cultural, and economic factors, the Socio-Demographic Index (SDI) was used.Results
In the NAME region in 2019, the number of deaths attributed to kidney dysfunction was 296 632 (95% uncertainty interval: 249 965-343 962), which was about 2.5 times higher than in the year"],"journal":["Clinical kidney journal"],"pagination":["sfad279"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10823484"],"repository":["biostudies-literature"],"pubmed_title":["Mortality and disability-adjusted life years in North Africa and Middle East attributed to kidney dysfunction: a systematic analysis for the Global Burden of Disease Study 2019."],"pmcid":["PMC10823484"],"pubmed_authors":["Nejadghaderi SA","Mallhi TH","Abbasi-Kangevari Z","Karasneh RA","Jahrami H","Samy AM","Taherkhani A","Feizkhah A","Mokdad AH","Baghcheghi N","ElHafeez SA","El-Huneidi W","Khatatbeh MM","Mobayen M","Abbasi-Kangevari M","Rashedi S","Ahmed A","Ghadirian F","Okati-Aliabad H","Dehghan A","Momtazmanesh S","Jayapal SK","Rezaei N","Irilouzadian R","Shorofi SA","Hezam K","Al-Tammemi AB","Hosseini MS","Athari SS","Hassankhani H","Malekpour MR","Rashidi MM","Al-Azzam S","Mahmoodpoor A","Abu-Gharbieh E","Heidari-Foroozan M","Saad AMA","Saki M","Shaker E","Shetty JK","Abdoun M","Yigit A","Kuddus M","Khan MAB","Athar M","Mohammadi E","Naghavi M","Mohammadi F","Saeedi Moghaddam S","Kompani F","Baradaran HR","Esfahani Z","Zangiabadian M","Dehkordi JA","Al-Raddadi RM","Keykhaei M","Yazdanpanah F","Tabish M","Campos LA","Abd-Elsalam S","Bhagavathula AS","Murray CJL","Khalaji A","Ahmad A","Babamohamadi H","Sharif-Askari FS","Moghaddam SS","Mohan S","Malik AA","Fatehizadeh A","Elhadi M","Babaei M","Farzadfar F","GBD 2019 NAME Kidney Dysfunction Risk Factor Collaborators","Amir-Behghadami M","Koohestani HR","Larijani B","Vahabi SM","Hoveidamanesh S","Rad EM","Hessami K","Natto ZS","Umair M","Arabloo J","Hashemi MB","Bagherieh S","Jamialahmadi T","Mahjoub S","Gholami A","Sahebkar A","Hamidi S","Rashidi M","Azadnajafabad S","Khan YH","Bhojaraja VS","Rashidi A","Zahir M","Redwan EMM"],"additional_accession":[]},"is_claimable":false,"name":"Mortality and disability-adjusted life years in North Africa and Middle East attributed to kidney dysfunction: a systematic analysis for the Global Burden of Disease Study 2019.","description":"Background
The study aimed to estimate the attributable burden to kidney dysfunction as a metabolic risk factor in the North Africa and Middle East (NAME) region and its 21 countries in 1990-2019.Methods
The data used in this study were obtained from the Global Burden of Diseases (GBD) 2019 study, which provided estimated measures of deaths, disability-adjusted life years (DALYs), and other epidemiological indicators of burden. To provide a better insight into the differences in the level of social, cultural, and economic factors, the Socio-Demographic Index (SDI) was used.Results
In the NAME region in 2019, the number of deaths attributed to kidney dysfunction was 296 632 (95% uncertainty interval: 249 965-343 962), which was about 2.5 times higher than in the year","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jan","modification":"2026-07-15T02:51:55.693Z","creation":"2026-06-28T03:07:03.474Z"},"accession":"S-EPMC10823484","cross_references":{"pubmed":["38288035"],"doi":["10.1093/ckj/sfad279"]}}