Evidence map›Paper›PMID 41404483›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

The association between multiple long-term conditions and dementia: A UK cohort study.

Hilary Shepherd, Adam Todd, David R Sinclair, Charlotte L Richardson, Fiona E Matthews, Andrew Kingston

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Hilary ShepherdPopulation Health Science Institute Newcastle University Newcastle upon Tyne UK.ORCID https://orcid.org/0000-0001-7794-4155
Adam ToddPopulation Health Science Institute Newcastle University Newcastle upon Tyne UK.
David R SinclairPopulation Health Science Institute Newcastle University Newcastle upon Tyne UK.
Charlotte L RichardsonPopulation Health Science Institute Newcastle University Newcastle upon Tyne UK.
Fiona E MatthewsInstitute for Clinical and Applied Health Research University of Hull Hull UK.
Andrew KingstonPopulation Health Science Institute Newcastle University Newcastle upon Tyne UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStudies examining the risk of dementia in people with multimorbidity are commonly conducted in research cohorts or outside the UK. Multimorbidity has historically been associated with aging, but recent research suggests that more than half of incidence cases occur in adults < 50.

methodsUsing UK primary care data, adjusted Cox regressions and competing risk of death models were used to determine risk of dementia in people with multimorbidity overall and by body system.

resultsPeople with multimorbidity had a greater risk of dementia that those without multimorbidity (hazard ratio [HR] = 4.01, 95% confidence interval [CI] 3.94-4.07). Among people with multimorbidity, the risk was highest for those when a neurological condition was included (HR = 2.19, 95% CI 2.15-2.23). DISCUSSION: Managing multimorbidity, particularly neurological conditions, is key and could delay or reduce the risk of dementia. Highlights: People with multimorbidity experienced a greater risk of dementia than those without.Neurological multimorbidity presented the highest risk of dementia.Risk of dementia increased progressively with younger-onset multimorbidity.Preventing or managing multimorbidity effectively could reduce or delay dementia.

Indexed as

competing risk of deathCox regressionelectronic health‐care recordsmultimorbiditymultiple long‐term conditions

Identifiers

PMID41404483
PMCPMC12703650

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.