Evidence map›Paper›PMID 29982474›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2019

Impact of Low Cardiovascular Risk Profiles on Geriatric Outcomes: Evidence From 421,000 Participants in Two Cohorts.

Janice L Atkins, João Delgado, Luke C Pilling, Kirsty Bowman, Jane A H Masoli, George A Kuchel, Luigi Ferrucci, David Melzer

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
2.7field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  13. Association of change in cardiovascular risk factors with incident dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
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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

8 authors at 3 institutions in 2 countries.

Janice L AtkinsEpidemiology and Public Health Group, University of Exeter Medical School, UK.
João DelgadoEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Luke C PillingEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Kirsty BowmanEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Jane A H MasoliEpidemiology and Public Health Group, University of Exeter Medical School, UK.
George A KuchelDepartment of Geriatric Medicine, Center on Aging, University of Connecticut, Farmington.
Luigi FerrucciNational Institute on Aging, Baltimore, Maryland.
David MelzerEpidemiology and Public Health Group, University of Exeter Medical School, UK.
University of Exeter · GBNational Institute on Aging · USUniversity of Connecticut · US

Funding

Biomarkers of Homestatic Dysregulation in Aging and Chronic DiseaseZIAAG000971 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$1.9M
The Hallmarks of Aging: Assessing accumulation of DNA lesions with age using single cell DNA sequencing in GESTALTZIAAG000358 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2017 to 2025
$253k
Department of Health DRF-2014-07-177Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M023095/1
6 · The paper itself

Abstract

backgroundIndividuals with low cardiovascular risk factor profiles experience lower rates of cardiovascular diseases, but associations with geriatric syndromes are unclear. We tested whether individuals with low cardiovascular disease risk, aged 60-69 years old at baseline in two large cohorts, were less likely to develop aging-related adverse health outcomes.

methodsData were from population representative medical records (Clinical Practice Research Datalink [CPRD] England, n = 239,591) and healthy volunteers (UK Biobank [UKB], n = 181,820), followed for ≤10 years. A cardiovascular disease risk score (CRS) summarized smoking status, LDL-cholesterol, blood pressure, body mass index, fasting glucose and physical activity, grouping individuals as low (ie, all factors near ideal), moderate, or high CRS. Logistic regression, Cox models, and Fine and Grey risk models tested the associations between the CRS and health outcomes.

resultsLow CRS individuals had less chronic pain (UKB: baseline odds ratio = 0.52, confidence interval [CI] = 0.50-0.54), lower incidence of incontinence (CPRD: subhazard ratio [sub-HR] = 0.75, 0.63-0.91), falls (sub-HR = 0.82, CI = 0.73-0.91), fragility fractures (sub-HR = 0.78, CI = 0.65-0.93), and dementia (vs. high risks; UKB: sub-HR = 0.67, CI = 0.50-0.89; CPRD: sub-HR = 0.79, CI = 0.56-1.12). Only 5.4% in CPRD with low CRS became frail (Rockwood index) versus 24.2% with high CRS. All-cause mortality was markedly lower in the low CRS group (vs. high CRS; HR = 0.40, 95% CI = 0.35-0.47). All associations showed dose-response relationships, and results were similar in both cohorts.

conclusionsPersons aged 60-69 years with near-ideal cardiovascular risk factor profiles have substantially lower incidence of geriatric conditions and frailty. Optimizing cardiovascular disease risk factors may substantially reduce the burden of morbidity in later life.

Indexed as

AgedBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCholesterol, LDLCohort StudiesExerciseFemaleFrailtyGeriatric AssessmentHumansLogistic ModelsMaleMiddle AgedProportional Hazards ModelsBlood GlucoseCholesterol, LDLCardiovascular riskChronic painFrailtyHealthy agingIncontinence

Identifiers

PMID29982474
PMCPMC6376108
OpenAlexW2803327906

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.