Evidence map›Paper›PMID 35711612›Full record

ArticleThe lancet. Healthy longevity2022

Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study.

Xin You Tai, Michele Veldsman, Donald M Lyall, Thomas J Littlejohns, Kenneth M Langa, Masud Husain, Janice Ranson, David J Llewellyn

Abstract read
In one paragraph

Article in The lancet. Healthy longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 7 pooled it
–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

90 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  15. Association of neurodevelopmental conditions with Alzheimer's disease and related dementias and Parkinson's disease.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xin You TaiNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Michele VeldsmanDepartment of Experimental Psychology, University of Oxford, Oxford, UK.
Donald M LyallInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Thomas J LittlejohnsNuffield Department of Population Health, University of Oxford, Oxford, UK.
Kenneth M LangaDepartment of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor, MI, USA.
Masud HusainNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Janice RansonCollege of Medicine and Health, University of Exeter, Exeter, UK.
David J LlewellynCollege of Medicine and Health, University of Exeter, Exeter, UK.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Pilot CoreP30AG066582 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie PW Bynum · 2020 to 2026
$7.2M
Dementia Prevalence over Time: Proximate Causes and ConsequencesR01AG053972 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 2016 to 2021
$4.9M
Identifying modifiable aspects of gene-by-environment interplay in later-life cognitive declineRF1AG055654 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAUL, JESSICA, GALAMA, TITUS JOHANNES · 2017 to 2018
$4.3M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIA NIH HHS P30 AG024824NIA NIH HHS P30 AG066582NIA NIH HHS R01 AG053972NIA NIH HHS RF1 AG055654Wellcome Trust 206330/Z/17/Z
6 · The paper itself

Abstract

Background: Individual cardiometabolic disorders and genetic factors are associated with an increased dementia risk; however, the relationship between dementia and cardiometabolic multimorbidity is unclear. We investigated whether cardiometabolic multimorbidity increases the risk of dementia, regardless of genetic risk, and examined for associated brain structural changes. Methods: We examined health and genetic data from 203 038 UK Biobank participants of European ancestry, aged 60 years or older without dementia at baseline assessment (2006-10) and followed up until March 31, 2021, in England and Scotland and Feb 28, 2018, in Wales, as well as brain structural data in a nested imaging subsample of 12 236 participants. A cardiometabolic multimorbidity index comprising stroke, diabetes, and myocardial infarction (one point for each), and a polygenic risk score for dementia (with low, intermediate, and high risk groups) were calculated for each participant. The main outcome measures were incident all-cause dementia and brain structural metrics. Findings: The dementia risk associated with high cardiometabolic multimorbidity was three times greater than that associated with high genetic risk (hazard ratio [HR] 5·55, 95% CI 3·39-9·08, p<0·0001, and 1·68, 1·53-1·84, p<0·0001, respectively). Participants with both a high genetic risk and a cardiometabolic multimorbidity index of two or greater had an increased risk of developing dementia (HR 5·74, 95% CI 4·26-7·74, p<0·0001), compared with those with a low genetic risk and no cardiometabolic conditions. Crucially, we found no interaction between cardiometabolic multimorbidity and polygenic risk (p=0·18). Cardiometabolic multimorbidity was independently associated with more extensive, widespread brain structural changes including lower hippocampal volume (F Interpretation: Cardiometabolic multimorbidity was independently associated with the risk of dementia and extensive brain imaging differences to a greater extent than was genetic risk. Targeting cardiometabolic multimorbidity might help to reduce the risk of dementia, regardless of genetic risk. Funding: Wellcome Trust, Alzheimer's Research UK, Alan Turing Institute/Engineering and Physical Sciences Research Council, the National Institute for Health Research Applied Research Collaboration South West Peninsula, National Health and Medical Research Council, JP Moulton Foundation, and National Institute on Aging/National Institutes of Health.

Indexed as

DementiaDiabetes MellitusHumansMultimorbidityProspective StudiesRisk FactorsUnited States

Identifiers

PMID35711612
PMCPMC9184258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.