Evidence map›Paper›PMID 30867458›Full record

ArticleScientific reports2019

Metabolic syndrome alters relationships between cardiometabolic variables, cognition and white matter hyperintensity load.

E Alkan, T P Taporoski, A Sterr, M von Schantz, H Vallada, J E Krieger, A C Pereira, R Alvim, A R V R Horimoto, S Pompéia and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

12 authors.

E AlkanFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.
T P TaporoskiFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.
A SterrFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.ORCID 0000-0003-4490-985X
M von SchantzFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom.ORCID 0000-0002-9911-9436
H ValladaInstitute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.
J E KriegerLaboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0001-5464-1792
A C PereiraLaboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, Brazil.
R AlvimLaboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, Brazil.
A R V R HorimotoLaboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, Brazil.
S PompéiaDepartamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.
A B NegrãoLaboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, Brazil.
S L H EvansFaculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey, United Kingdom. se0016@surrey.ac.uk.ORCID 0000-0001-7875-9445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiometabolic risk factors influence white matter hyperintensity (WMH) development: in metabolic syndrome (MetS), higher WMH load is often reported but the relationships between specific cardiometabolic variables, WMH load and cognitive performance are uncertain. We investigated these in a Brazilian sample (aged 50-85) with (N = 61) and without (N = 103) MetS. Stepwise regression models identified effects of cardiometabolic and demographic variables on WMH load (from FLAIR MRI) and verbal recall performance. WMH volume was greater in MetS, but verbal recall performance was not impaired. Age showed the strongest relationship with WMH load. Across all participants, systolic blood pressure (SBP) and fasting blood glucose were also contributors, and WMH volume was negatively associated with verbal recall performance. In non-MetS, higher HbA1c, SBP, and number of MetS components were linked to poorer recall performance while higher triglyceride levels appeared to be protective. In MetS only, these relationships were absent but education exerted a strongly protective effect on recall performance. Thus, results support MetS as a construct: the clustering of cardiometabolic variables in MetS alters their individual relationships with cognition; instead, MetS is characterised by a greater reliance on cognitive reserve mechanisms. In non-MetS, strategies to control HbA1c and SBP should be prioritised as these have the largest impact on cognition.

Indexed as

CognitionAgedAged, 80 and overBiomarkersCardiovascular DiseasesEnergy MetabolismFemaleHumansMagnetic Resonance ImagingMaleMetabolic SyndromeMiddle AgedNeuropsychological TestsRisk FactorsWhite MatterBiomarkers

Identifiers

PMID30867458
PMCPMC6416472

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.