Evidence map›Paper›PMID 25478916›Full record

SynthesisPloS one2014

Cardiovascular disease risk models and longitudinal changes in cognition: a systematic review.

Stephanie L Harrison, Jie Ding, Eugene Y H Tang, Mario Siervo, Louise Robinson, Carol Jagger, Blossom C M Stephan

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
4.1field-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

41 citing papers in PubMed, 5 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  15. Cardiovascular disease and the risk of dementia: a survival analysis using administrative data from Manitoba.Canadian journal of public health = Revue canadienne de sante publique · 2022
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  16. Association of Vascular Risk Scores and Cognitive Performance in a Diverse Cohort: The Multi-Ethnic Study of Atherosclerosis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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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

7 authors at 2 institutions in 2 countries.

Stephanie L HarrisonInstitute of Health and Society, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Jie DingLaboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, Maryland, United States of America.
Eugene Y H TangInstitute of Health and Society, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Mario SiervoInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Louise RobinsonInstitute of Health and Society, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Carol JaggerInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Blossom C M StephanInstitute of Health and Society, Newcastle University, Newcastle upon Tyne, Tyne and Wear, United Kingdom.
Newcastle University · GBNational Institute on Aging · US

Funding

Department of Health NIHR-RP-011-043Medical Research Council G0500997Medical Research Council MR/J50001X/1
6 · The paper itself

Abstract

backgroundCardiovascular disease and its risk factors have consistently been associated with poor cognitive function and incident dementia. Whether cardiovascular disease prediction models, developed to predict an individual's risk of future cardiovascular disease or stroke, are also informative for predicting risk of cognitive decline and dementia is not known.

objectiveThe objective of this systematic review was to compare cohort studies examining the association between cardiovascular disease risk models and longitudinal changes in cognitive function or risk of incident cognitive impairment or dementia. MATERIALS AND

methodsMedline, PsychINFO, and Embase were searched from inception to March 28, 2014. From 3,413 records initially screened, 21 were included.

resultsThe association between numerous different cardiovascular disease risk models and cognitive outcomes has been tested, including Framingham and non-Framingham risk models. Five studies examined dementia as an outcome; fourteen studies examined cognitive decline or incident cognitive impairment as an outcome; and two studies examined both dementia and cognitive changes as outcomes. In all studies, higher cardiovascular disease risk scores were associated with cognitive changes or risk of dementia. Only four studies reported model prognostic performance indices, such as Area Under the Curve (AUC), for predicting incident dementia or cognitive impairment and these studies all examined non-Framingham Risk models (AUC range: 0.74 to 0.78).

conclusionsCardiovascular risk prediction models are associated with cognitive changes over time and risk of dementia. Such models are easily obtainable in clinical and research settings and may be useful for identifying individuals at high risk of future cognitive decline and dementia.

Indexed as

CognitionModels, CardiovascularCardiovascular DiseasesDementiaHumansTime Factors

Identifiers

PMID25478916
PMCPMC4257686
OpenAlexW2143358459

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.