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Record W7116886497 · doi:10.1002/alz70860_100341

Association between kidney dysfunction and cognitive impairment in community‐dwelling older adults in Taiwan

2025· article· en· W7116886497 on OpenAlexaboutno aff
Yi‐Chun Lin, Jen‐Hau Chen, Jeng‐Min Chiou, Yen‐Ching Chen

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionCognitive impairmentAssociation (psychology)Psychological interventionKidneyKidney diseaseCognitive disorderCognitive decline

Abstract

fetched live from OpenAlex

Abstract Background Kidney function has been shown to predict cognitive impairment in previous studies. However, limited longitudinal studies have investigated the association between kidney function and cognitive impairment. This study aimed to explore this association in a non‐demented elderly population. Method This prospective cohort study (2011–2019) is based on the Taiwan Initiative for Geriatric Epidemiological Research (TIGER). After exclusion, 515 non‐demented older adults were included at baseline (2011‐2013). Kidney function was evaluated by calculating the estimated glomerular filtration rate (eGFR) using the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) equation. Kidney dysfunction was defined as participants with an eGFR <60 mL/min/1.73 m 2 or the existence of proteinuria. Cognitive assessment includes global and domain‐specific cognition (memory, executive function, verbal fluency, and attention), using the Taiwanese version of the Montreal Cognitive Assessment and a battery of neuropsychological tests, respectively. The generalized linear mixed model was utilized to explore associations of kidney function with cognitive impairment over time adjusting for important covariates [e.g., age, sex, years of education, apolipoprotein E ε4 status, depressive symptoms, body mass index (BMI), cigarette smoking, alcohol consumption, comorbidities, and serum levels of biomarkers, including interleukin‐6 (IL‐6) and C‐reactive protein (CRP)]. Result The baseline mean age of this population was 72.7. The presence of kidney dysfunction at baseline was associated with poor performance in some cognitive domains as below. Baseline kidney dysfunction was significantly associated with poor performance of memory over time (immediate theme recall: β = ‐0.07, immediate free recall: β = ‐0.06, delayed theme recall: β = ‐0.06, delayed free recall: β = ‐0.05). Similar findings were found for executive function (Trail Making Test part B: β = ‐0.07). These associations became more evident in women or participants with higher years of education (β = ‐0.05 to ‐0.12). However, no significant association was observed for global cognition, attention, and verbal fluency. Conclusion Baseline kidney dysfunction was associated with worse cognitive performance over time in older adults. Early screening for kidney dysfunction and cognitive impairment is essential for implementing preventive interventions to slow the progression of dementia. Further research is needed to elucidate the underlying mechanism between kidney dysfunction and cognitive impairment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.265
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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