Evidence map›Paper›PMID 38292861›Full record

ArticleGeneral psychiatry2024

Cardiovascular risk burden, dementia risk and brain structural imaging markers: a study from UK Biobank.

Yaying Cao, Gaohong Zhu, Chengwu Feng, Jing Chen, Wei Gan, Yuan Ma, Yonghua Hu, Klodian Dhana, Trudy Voortman, Jie Shen and 4 more

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

14 authors at 11 institutions in 4 countries.

Yaying CaoDepartment of Food Nutrition and Health, School of Medicine and Health, Harbin Institute of Technology, Harbin, Heilongjiang, China.
Gaohong ZhuDepartment of Nuclear Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Chengwu FengCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
Jing ChenNeurology Department, Zhongshan Hospital Affiliated with Fudan University, Shanghai, China.
Wei GanMedical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
Yuan MaHarvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Yonghua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Klodian DhanaDepartment of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA.
Trudy VoortmanDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Jie ShenSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ting LiFirst Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yan ZhengState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
Changzheng YuanSchool of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0002-2389-8752
Geng ZongCAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
Fudan University · CNKunming Medical University · CNSecond Affiliated Hospital of Zhejiang University · CNErasmus MC · NLHarbin Institute of Technology · CNHarvard University · USPeking University · CNRush University Medical Center · USShanghai Institute of Nutrition and Health · CNShanghai Jiao Tong University · CNUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular risk burden is associated with dementia risk and neurodegeneration-related brain structure, while the role of genetics and incident cardiovascular disease (CVD) remains unclear. Aims: To examine the association of overall cardiovascular risk burden with the risk of major dementia subtypes and volumes of related brain regions in a large sample, and to explore the role of genetics and CVD onset. Methods: A prospective study among 354 654 participants free of CVD and dementia (2006-2010, mean age 56.4 years) was conducted within the UK Biobank, with brain magnetic resonance imaging (MRI) measurement available for 15 104 participants since 2014. CVD risk burden was evaluated by the Framingham General Cardiovascular Risk Score (FGCRS). Dementia diagnosis was ascertained from inpatient and death register data. Results: Over a median 12.0-year follow-up, 3998 all-cause dementia cases were identified. Higher FGCRS was associated with increased all-cause dementia risk after adjusting for demographic, major lifestyle, clinical factors and the polygenic risk score (PRS) of Alzheimer's disease. Comparing the high versus low tertile of FGCRS, the odds ratios (ORs) and 95% confidence intervals (CIs) were 1.26 (1.12 to 1.41) for all-cause dementia, 1.67 (1.33 to 2.09) for Alzheimer's disease and 1.53 (1.07 to 2.16) for vascular dementia (all p Conclusions: Our findings suggest that the positive association of cardiovascular risk burden with dementia risk also applies to major dementia subtypes. The association of cardiovascular risk burden with all-cause dementia is largely independent of CVD onset and genetic predisposition to dementia.

Indexed as

AgeismCognition DisordersCohort StudiesEpidemiologic Factors

Identifiers

PMID38292861
PMCPMC10826560
OpenAlexW4391326315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.