Temporal trends and machine learning prediction for chronic kidney disease due to hypertension in young adults from 1990 to 2021: an analysis of the global burden of disease study 2021

CKD due to hypertension is a growing global challenge in young adults. Substantial heterogeneity exists in the disease burden and its temporal trends across countries and regions, highlighting the strong distributive inequities of CKD worldwide.

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Publication Details

Journal
Annals of Medicine
Published
2025-10-07
DOI
https://doi.org/10.1080/07853890.2025.2537916
Citations
3
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
4.16
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article

Temporal trends and machine learning prediction for chronic kidney disease due to hypertension in young adults from 1990 to 2021: an analysis of the global burden of disease study 2021

Ying Wu, Ya‐Wei Luo, Yiqun Miao, Yuhan Zhao et al.
3 citations
Annals of Medicine
Blood Pressure and Hypertension Studies
4.16
article

Temporal trends and machine learning prediction for chronic kidney disease due to hypertension in young adults from 1990 to 2021: an analysis of the global burden of disease study 2021

Ying Wu, Ya‐Wei Luo, Yiqun Miao, Yuhan Zhao, Huiying Wang
article en
3 citations

Abstract

CKD due to hypertension is a growing global challenge in young adults. Substantial heterogeneity exists in the disease burden and its temporal trends across countries and regions, highlighting the strong distributive inequities of CKD worldwide.

Annals of MedicineVol. 57(1)
American Institutes for Research (US), Capital Medical University (CN)
Openalex Percentile: Top 5%
Blood Pressure and Hypertension Studies
4.16
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