Evidence map›Paper›PMID 41732912›Full record

ArticleCNS neuroscience & therapeutics2026

Association Between Renal Dysfunction and Cerebral Small Vessel Disease: A Prospective Cohort Study From the UK Biobank.

Xiaowei Sun, Jiawen Chen, Yang Gao, Yingjie Chen, Yan Li, Rui Pang, Ling Cai, Zhangsheng Yu, Dan Huang, Peiying Li

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xiaowei SunClinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiawen ChenClinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0007-5108-8849
Yang GaoClinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yingjie ChenClinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan LiDepartment of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui PangDepartment of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ling CaiDepartment of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhangsheng YuInstitute of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-8189-5330
Dan HuangDepartment of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-7900-006X
Peiying LiClinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-5721-9914

Funding

Clinical Research Plan of SHDC SHDC2022CRW003Fundamental Research Funds for the Central Universities YG2023QNA01National Natural Science Foundation of China 82061130224National Natural Science Foundation of China M-0671National Natural Science Foundation of China NSFC 82525023National Natural Science Foundation of China U22A20295National Natural Science Foundation of China W2411087Shanghai Municipal Education Commission-Gaofeng Clinical Medical Grant Support 20181805Shanghai Science and Technology Program 23DZ2291900the Innovative Research Team of High-level Local Universities in Shanghai SHSMU-ZLCX20211602
6 · The paper itself

Abstract

aimsThis study aims to test the association between multidimensional renal dysfunction biomarkers and cerebral small vessel disease (CSVD) risk using data from the UK Biobank.

methodsThe present study encompasses two cohorts. The whole cohort consisted of 43,314 adults without neurological diseases at baseline, who underwent brain magnetic resonance imaging (MRI) during the follow-up period. CSVD imaging markers, including white matter hyperintensity (WMH) volume, mean diffusivity (MD), and fractional anisotropy (FA), were extracted. The sub-cohort consisted of 9786 adults randomly selected from the whole cohort. CSVD MRI features, including the presence of lacunes, white matter hyperintensities (WMHs), enlarged perivascular spaces (EPVS), and cerebral microbleeds (CMBs), as well as CSVD burden score, were assessed.

resultsIn the whole cohort, renal dysfunction as reflected by abnormalities in estimated glomerular filtration rates and blood urea nitrogen was associated with increased WMH and MD values and decreased FA values, compared to the healthy group. We observed consistent findings in the sub-cohort: multidimensional renal dysfunction was associated with increased risk of lacunes, WMHs, EPVS, and CMBs, as well as greater severity of CSVD burden.

conclusionsOur large-scale epidemiological study provides evidence that multidimensional renal dysfunction biomarkers are independently associated with CSVD risk in adults.

Indexed as

Biological Specimen BanksCerebral Small Vessel DiseasesKidney DiseasesAgedCohort StudiesFemaleGlomerular Filtration RateHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesUK BiobankUnited KingdomWhite Mattercerebral small vessel diseasefractional anisotropymean diffusivityrenal dysfunctionwhite matter injury

Identifiers

PMID41732912
PMCPMC12930275

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.