Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014–2020 and forecasting future trends of prevalence and mortality for 2030-Reference-Cited by-同舟云学术

Analysis of chronic kidney disease epidemiology in Kazakhstan using nationwide data for 2014–2020 and forecasting future trends of prevalence and mortality for 2030

Published:2024-03-14 Issue:1 Volume:46 Page:
ISSN:0886-022X
Container-title:Renal Failure
language:en
Short-container-title:Renal Failure

Author:

Zhakhina Gulnur¹,Mussina Kamilla¹,Yerdessov Sauran¹,Gusmanov Arnur¹,Sakko Yesbolat¹,Kim Valdemir¹,Syssoyev Dmitriy¹,Madikenova Meruyert¹,Assan Ainur²,Kuanshaliyeva Zhanat³,Turebekov Duman⁴,Yergaliyev Kuanysh¹⁵,Bekishev Bolat⁶,Gaipov Abduzhappar¹³

Affiliation:

1. Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan

2. Department of Medicine, Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan

3. Clinical Academic Department of Internal Medicine, CF “University Medical Center”, Astana, Kazakhstan

4. Department of Internal Medicine and Nephrology, Astana Medical University, Astana, Kazakhstan

5. Graduate School of Public Policy, Nazarbayev University, Astana, Kazakhstan

6. Department of Extracorporeal Hemocorrection, National Research Cardiac Surgery Center, Astana, Kazakhstan

Funder

Nazarbayev University Faculty Development Research Grant Program

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0886022X.2024.2326312

Reference56 articles.

1. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

2. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016–40 for 195 countries and territories

3. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases

4. Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data

5. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis

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