Evidence map›Paper›PMID 40404981›Full record

ReviewNature reviews. Nephrology2025

Chronic kidney disease and dementia: an epidemiological perspective.

M Arfan Ikram

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Transcriptional risk score for chronic kidney disease: relation to Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Article
  6. Mental health and kidney disease.Nature reviews. Nephrology · 2026
    Review
  7. Article
  8. Article
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

1 author.

M Arfan IkramDepartment of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands. m.a.ikram@erasmusmc.nl.ORCID 0000-0003-0372-8585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing populations worldwide face increasing challenges of multimorbidity (that is, the co-occurrence of two or more chronic conditions). The combination of chronic kidney disease (CKD) and dementia occurs more frequently than it would by simple coincidence, owing to several underlying biological and clinical mechanisms. Population-based cohort studies are an important epidemiological tool and have contributed to improved understanding of these mechanisms. These mechanisms include uniquely shared haemodynamic features of vasculature, overlapping risk factor profiles, and direct neurotoxic effects of accumulating waste products due to poor kidney function. The effect of these pathways is suggested to differ across gender, relevant demographic subgroups, and populations from low- to middle-income countries. Yet, given their study design, population-based cohort studies also inherently face several methodological challenges. These challenges pertain to the use of biomarkers that do not always fully capture the structure and function of the kidney or the brain; bidirectionality across the pathways under study; and practical issues of proper causal inference in light of incomplete distinction between confounders, mediators and effect modifiers. This Review describes our current understanding of the link between CKD and dementia, with a focus on knowledge synthesized from population-based cohort studies. Methodological challenges and possible solutions will be described and directions for future research areas will be outlined.

Indexed as

DementiaRenal Insufficiency, ChronicHumansRisk Factors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.