Evidence map›Paper›PMID 32390549›Full record

Trial reportStroke2020

Network Efficiency Mediates the Relationship Between Vascular Burden and Cognitive Impairment: A Diffusion Tensor Imaging Study in UK Biobank.

Jun Shen, Daniel J Tozer, Hugh S Markus, Jonathan Tay

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Stroke, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  11. Hypertension, Neurodegeneration, and Cognitive Decline.Hypertension (Dallas, Tex. : 1979) · 2024
    Review
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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

4 authors at 1 institution in 2 countries.

Jun ShenFrom the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (J.S., D.J.T., H.S.M., J.T.).
Daniel J TozerFrom the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (J.S., D.J.T., H.S.M., J.T.).
Hugh S MarkusFrom the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (J.S., D.J.T., H.S.M., J.T.).
Jonathan TayFrom the Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (J.S., D.J.T., H.S.M., J.T.).
University of Cambridge · GB

Funding

British Heart Foundation SP/16/1/32297British Heart Foundation SP/17/2/33029Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/N0268696/1Wellcome Trust 101106
6 · The paper itself

Abstract

Background and Purpose- Cerebrovascular disease contributes to age-related cognitive decline, but the mechanisms underlying this phenomenon remain incompletely understood. We hypothesized that vascular risk factors would lead to cognitive impairment through the disruption of brain white matter network efficiency. Methods- Participants were 19 346 neurologically healthy individuals from UK Biobank that underwent diffusion MRI and cognitive testing (mean age=62.6). Global efficiency, a measure of network integration, was calculated from white matter networks constructed using deterministic diffusion tractography. First, we determined whether demographics (age, sex, ethnicity, socioeconomic status, and education), vascular risk factors (hypertension, hypercholesterolemia, diabetes mellitus, smoking, body mass index), and white matter hyperintensities were related to global efficiency using multivariate linear regression. Next, we used structural equation modeling to model a multiple regression. The dependent variable was a latent cognition variable using all cognitive data, while independent variables were a latent factor including all vascular risk factors (vascular burden), demographic variables, white matter hyperintensities, and global efficiency. Finally, we used mediation analysis to determine whether global efficiency explained the relationship between vascular burden and cognition. Results- Hypertension and diabetes mellitus were consistently associated with reduced global efficiency even after controlling for white matter hyperintensities. Structural equation models revealed that vascular burden was associated with cognition (

Indexed as

AgingBiological Specimen BanksCognitive DysfunctionDiabetes ComplicationsDiffusion Tensor ImagingHypertensionModels, NeurologicalAgedFemaleHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsUnited Kingdombody mass indexcerebrovascular diseasediffusion tensor imagingrisk factorsstroke

Identifiers

PMID32390549
PMCPMC7610498
OpenAlexW3027282237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.