Evidence map›Paper›PMID 41674512›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Temporal comorbidity patterns in Alzheimer's disease and vascular dementia: A population-based observational study in UK Biobank.

Chloe Walsh, Antigone Fogel, Ann-Kathrin Schalkamp, Vanessa Mabiala, Behnam Shariati, Cynthia Sandor, Mina Ryten, Ramin Nilforooshan, Payam Barnaghi

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Chloe WalshDepartment of Brain Sciences Imperial College London London UK.ORCID https://orcid.org/0009-0009-0516-9634
Antigone FogelDepartment of Brain Sciences Imperial College London London UK.
Ann-Kathrin SchalkampDepartment of Brain Sciences Imperial College London London UK.
Vanessa MabialaSurrey and Borders Partnership NHS Foundation Trust Leatherhead UK.
Behnam ShariatiSurrey and Borders Partnership NHS Foundation Trust Leatherhead UK.
Cynthia SandorDepartment of Brain Sciences Imperial College London London UK.
Mina RytenUK Dementia Research Institute Cambridge Cambridge UK.
Ramin NilforooshanSurrey and Borders Partnership NHS Foundation Trust Leatherhead UK.
Payam BarnaghiDepartment of Brain Sciences Imperial College London London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Alzheimer's disease (AD) and vascular dementia (VaD), comorbidities shape disease trajectories and care needs, yet their timing across the lifespan remains poorly understood. Methods: We analyzed comorbidities using in-patient hospital International Classification of Diseases 10th Revision codes in 10,730 UK Biobank participants with AD or VaD, spanning 20 years before to 10 years after diagnosis. Logistic regression and Bayesian network analysis identified time- and subtype-specific risk patterns, validated against controls. Results: Distinct comorbidities emerged decades before diagnosis. In AD, depressive episodes, osteoporosis, and type 1 diabetes appeared up to 20 years pre-diagnosis, while VaD was characterized by early cerebral infarctions, type 1 diabetes, intestinal disorders, and rheumatoid arthritis, absent in controls. Discussion: Although restricted to severe populations captured in in-patient data, excluding primary care, these findings reveal time-dependent prodromal patterns in AD and VaD, highlighting opportunities for targeted screening, prevention, and early intervention.

Indexed as

Alzheimer's diseasechronological mappingcomorbiditieslongitudinalmachine learningUK Biobankvascular dementia

Identifiers

PMID41674512
PMCPMC12887687

What OpenQuestion holds

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Registered trials

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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.