Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis

The study revealed a concerning upward trend in the global burden of CKD, emphasizing the need for targeted management strategies across different causes, regions, age groups, and genders.

Authors

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Publication Details

Journal
Renal Failure
Published
2024-09-19
DOI
https://doi.org/10.1080/0886022x.2024.2403645
Citations
31
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
10.51

Funders

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article

Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis

Yuting Zhao, Zuhan Chen, Xiaoming Ding, Bo‐Qing Dong et al.
31 citations
Renal Failure
Chronic Kidney Disease and Diabetes
10.51
article

Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis

Yuting Zhao, Zuhan Chen, Xiaoming Ding, Bo‐Qing Dong, Huanjing Bi, Cuinan Lu, Ruiyang Ma, Jingwen Wang, Jiale Wang, Yang Li, Ying Wang
article en
31 citations

Abstract

The study revealed a concerning upward trend in the global burden of CKD, emphasizing the need for targeted management strategies across different causes, regions, age groups, and genders.

Renal FailureVol. 46(2)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), National Cancer Center (US), First Affiliated Hospital of Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 1%
Chronic Kidney Disease and Diabetes
10.51
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Epidemiological analysis of chronic kidney disease from 1990 to 2019 and predictions to 2030 by Bayesian age-period-cohort analysis — Yuting Zhao, Zuhan Chen, et al. · Renal Failure (2024) | TGRS Research Map | TGRS