Evidence map›Paper›PMID 29796607›Full record

SynthesisAge and ageing2018

Cardiovascular risk factors and frailty in a cross-sectional study of older people: implications for prevention.

Tsz Yan Wong, M Sofia Massa, Aisling M O'Halloran, Rose Ann Kenny, Robert Clarke

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Age and ageing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Physiological Systems in Promoting Frailty.Comprehensive Physiology · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    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

5 authors at 2 institutions in 2 countries.

Tsz Yan WongNuffield Department of Population Health, University of Oxford, Oxford, UK.
M Sofia MassaNuffield Department of Population Health, University of Oxford, Oxford, UK.
Aisling M O'HalloranTILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland.
Rose Ann KennyTILDA, Department of Medical Gerontology, Trinity College, Dublin, Ireland.
Robert ClarkeNuffield Department of Population Health, University of Oxford, Oxford, UK.
University of Oxford · GBTrinity College Dublin · IE

Funding

British Heart Foundation CH/1996001/9454British Heart Foundation PG/12/32/29544Medical Research Council
6 · The paper itself

Abstract

Objective: to examine the associations of cardiovascular disease (CVD) and cardiovascular risk factors with frailty. Design: a cross-sectional study. Setting: the Irish Longitudinal Study on Ageing (TILDA). Participants: frailty measures were obtained on 5,618 participants and a subset of 4,330 participants with no prior history of CVD. Exposures for observational study: cardiovascular risk factors were combined in three composite CVD risk scores (Systematic Coronary Risk Evaluation [SCORE], Ideal Cardiovascular Health [ICH] and Cardiovascular Health Metrics [CHM]). Main outcome measures: a frailty index (40-items) was used to screen for frailty. Methods: the associations of CVD risk factors with frailty were examined using logistic regression. Results: overall, 16.4% of participants had frailty (7.6% at 50-59 years to 42.5% at 80+ years), and the prevalence was higher in those with versus those without prior CVD (43.0% vs. 10.7%). Among those without prior CVD, mean levels of CVD risk factors were closely correlated with higher frailty index scores. Combined CVD risk factors, assessed using SCORE, were linearly and positively associated with frailty. Compared to low-to-moderate SCOREs, the odds ratio (OR) (95% confidence interval, CI) of frailty for those with very high risk was 3.18 (2.38-4.25). Conversely, ICH was linearly and inversely associated with frailty, with an OR for optimal health of 0.29 (0.21-0.40) compared with inadequate health. Conclusions: the concordant positive associations of SCORE and inverse associations of ICH and CHM with frailty highlight the potential importance of optimum levels of CVD risk factors for prevention of disability in frail older people.

Indexed as

Delivery of Health Care, IntegratedFrail ElderlyGeneral PracticePrimary Health CareActivities of Daily LivingAgedAged, 80 and overAge FactorsCardiovascular DiseasesControlled Clinical Trials as TopicCost-Benefit AnalysisCross-Sectional StudiesFemaleFrailtyHealth Care CostsHumans

Identifiers

PMID29796607
PMCPMC6108388
OpenAlexW2804522015

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.