Evidence map›Paper›PMID 42773880›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Kidney function and brain health: cognitive and structural signatures across cohorts.

Min Li, Wenbo Yang, Ying Hui, Huijing Shi, Yuntao Wu, Li Yu, Lijun Song, Yanfang Tan, Xintian Ren, Xiaoyan Bai and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Corrections and comments

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

18 authors.

Min Li *Clinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Wenbo Yang *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ying Hui *Department of Radiology, Kailuan General Hospital, Tangshan, Hebei, China.
Huijing ShiDepartment of Radiology, Kailuan General Hospital, Tangshan, Hebei, China.
Yuntao WuDepartment of Radiology, Kailuan General Hospital, Tangshan, Hebei, China.
Li YuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lijun SongDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yanfang TanClinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xintian RenClinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiaoyan BaiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiaoshuai LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhenghan YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Weikang GuoDepartment of Nephrology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China.
Jing LiDepartment of Radiology, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Han LvDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Hao WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-6884-6323

Funding

Beijing Friendship Hospital, Capital Medical University yyqcjh2023-7Beijing Physician Scientist Training Project BJPSTP-2025-46National Natural Science Foundation of China 52227814National Natural Science Foundation of China 82572190
6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) is linked to cognitive decline, yet the roles of estimated glomerular filtration rate (eGFR) and its variability remain unclear.

methodsWe analyzed 6847 adults from two population-based cohorts (the Multimodality MEdical imaging sTudy bAsed on KaiLuan Study [META-KLS], UK Biobank) and 426 CKD patients from Beijing Friendship Hospital (BFH)-CKD. Exposures included eGFR level and variability. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and brain structure by magnetic resonance imaging (MRI).

resultsIn META-KLS, higher cumulative eGFR was associated with higher MoCA scores (β = 0.350; 95% confidence interval [CI]: 0.148 to 0.552), whereas greater eGFR variability was associated with lower MoCA scores (β = -0.454; 95% CI: -0.659 to -0.250). Across cohorts, higher eGFR was associated with white matter, superior frontal, and middle temporal volumes. In META-KLS, greater variability showed nominal inverse associations with inferior parietal and middle temporal volumes and reduced rostral anterior cingulate cortex thickness. DISCUSSION: Lower eGFR and greater eGFR variability were associated with lower MoCA scores and region-specific structural brain alterations.

Indexed as

BrainCognitionCognitive DysfunctionGlomerular Filtration RateRenal Insufficiency, ChronicAgedCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMental Status and Dementia TestsMiddle AgedUK Biobankbrain structurecognitive functioncumulativeestimated glomerular filtration ratevariability

Identifiers

PMID42773880
PMCPMC13598550

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.