Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data

KDI may be a reliable and effective indicator for predicting cognitive function and the risk of cognitive impairment in the elderly. Research suggests that higher KDI levels may serve as a risk factor for cognitive decline, underscoring the importance of managing KDI for cognitive health, particularly in populations with chronic kidney disease (CKD). Future studies should focus on longitudinal research and clinical interventions to further validate the clinical utility of KDI and develop treatment strategies based on KDI.

Authors

Institutions

Publication Details

Journal
BMC Geriatrics
Published
2025-08-26
DOI
https://doi.org/10.1186/s12877-025-06327-4
Citations
1
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data

Ruwen Zheng, Tianyi Wang, Shuang Tang, Lin Wang
1 citations
BMC Geriatrics
Blood Pressure and Hypertension Studies
1.39
article

Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data

Ruwen Zheng, Tianyi Wang, Shuang Tang, Lin Wang
article en
1 citations

Abstract

KDI may be a reliable and effective indicator for predicting cognitive function and the risk of cognitive impairment in the elderly. Research suggests that higher KDI levels may serve as a risk factor for cognitive decline, underscoring the importance of managing KDI for cognitive health, particularly in populations with chronic kidney disease (CKD). Future studies should focus on longitudinal research and clinical interventions to further validate the clinical utility of KDI and develop treatment strategies based on KDI.

BMC GeriatricsVol. 25(1)
Qingdao University (CN), Heilongjiang University of Chinese Medicine (CN), Affiliated Hospital of Qingdao University (CN), Qingdao Municipal Hospital (CN)
Openalex Percentile: Top 15%
Blood Pressure and Hypertension Studies
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data — Ruwen Zheng, Tianyi Wang, et al. · BMC Geriatrics (2025) | TGRS Research Map | TGRS