Evidence map›Paper›PMID 40917547›Full record

ArticleBrain communications2025

Detection of cognitive deficits years prior to clinical diagnosis across neurological conditions.

Xin You Tai, Sofia Toniolo, David J Llewellyn, Cornelia M van Duijn, Masud Husain, Sanjay G Manohar

Abstract read
In one paragraph

Article in Brain communications, 2025. 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

6 authors.

Xin You TaiNuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.
Sofia TonioloNuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0002-1833-4995
David J LlewellynCollege of Medicine and Health, University of Exeter, Exeter EX1 2HZ, UK.
Cornelia M van DuijnNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.ORCID https://orcid.org/0000-0002-2374-9204
Masud HusainNuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0002-6850-9255
Sanjay G ManoharNuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, UK.ORCID https://orcid.org/0000-0003-0735-4349

Funding

Wellcome Trust
6 · The paper itself

Abstract

Understanding the cognitive trajectory of a neurological disease can provide important insight on underlying mechanisms and disease progression. Cognitive impairment is now well established as beginning many years before the diagnosis of Alzheimer's disease, but pre-diagnostic profiles are unclear for other neurological conditions that may be associated with cognitive impairment. We analysed data from the prospective UK Biobank cohort with study baseline assessment performed between 2006 and 2010 and participants followed until 2021. We examined data from 497 252 participants, aged between 38 and 72 years at baseline, with an imaging sub-sample of 42 468 participants. Using time-to-diagnosis and time-from-diagnosis data in relation to time of assessment, we compared a continuous measure of executive function and magnetic resonance imaging brain measures of total grey matter (GM) and hippocampal volume in individuals with ischaemic stroke, focal epilepsy, Parkinson's disease, multiple sclerosis, motor neurone disease (amyotrophic lateral sclerosis) and migraine. Of the 497 252 participants [226 206 (45.5%) men, mean (SD) age, 57.5(8.1) years], 12 755 had ischaemic stroke, 6758 had a diagnosis of focal epilepsy, 3315 had Parkinson's disease, 2315 had multiple sclerosis, 559 had motor neurone disease and 18 254 had migraine either at study baseline or diagnosed during the follow-up period. Apart from motor neurone disease, all conditions had lower

Indexed as

cognitionepilepsymigrainemultiple sclerosisstroke

Identifiers

PMID40917547
PMCPMC12411756

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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.