Evidence map›Paper›PMID 28593120›Full record

ArticlePreventive medicine reports2017

Addition of estimated cardiorespiratory fitness to the clinical assessment of 10-year coronary heart disease risk in asymptomatic men.

Jennifer C Gander, Xuemei Sui, James R Hébert, Carl J Lavie, Linda J Hazlett, Bo Cai, Steven N Blair

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Estimated Cardiorespiratory Fitness and Metabolic Risks.International journal of environmental research and public health · 2024
    Review
  4. Article
  5. Article
  6. Article
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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 1 country.

Jennifer C GanderDepartment of Surgery, Emory University School of Medicine, Atlanta, GA, United States.
Xuemei SuiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
James R HébertDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Carl J LavieDepartment of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School-the University of Queensland School of Medicine, New Orleans, LA, United States.
Linda J HazlettDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Bo CaiDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Steven N BlairDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
University of South Carolina · USEmory University · US

Funding

Expanding Mentoring Capacity in High-Risk PopulationsK05CA136975 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2009 to 2013
$801k
Deciphering the Treatment Risks: a Decision Support Tool for Transplant CandidatesF32DK107191 · NIDDK · EMORY UNIVERSITY · PI GANDER, JENNIFER · 2016 to 2017
$103k
NCI NIH HHS K05 CA136975NIDDK NIH HHS F32 DK107191
6 · The paper itself

Abstract

The Framingham Risk Score (FRS) was developed to quantify a patient's coronary heart disease (CHD) risk. Non-exercise estimated CRF (e-CRF) may provide a clinically practical method for describing cardiorespiratory fitness. We computed e-CRF and tested its association with the FRS and CHD. Male participants (n = 29,854) in the Aerobics Center Longitudinal Study (ACLS) who completed a baseline examination between 1979-2002 were followed for 12 years to determine incident CHD defined by self-report of myocardial infarction, revascularization, or CHD mortality. e-CRF was defined from a 7-item scale and categorized using age-specific tertiles. Multivariable survival analysis determined associations between FRS, e-CRF, and CHD. Interaction between e-CRF and FRS was tested by stratified analysis by 'low' and 'moderate or high' 10-year CHD risk. Men with high e-CRF were significantly (p-value < 0.0001) younger, and less likely to be smokers, compared to men with low e-CRF. Multivariable survival analysis reported men with high e-CRF were 29% (HR = 0.71; 95% 0.56, 0.88) less likely to experience a CHD event compared to men with low e-CRF. Stratified analyses showed men with 'low' 10-year FRS predicted CHD risk and high e-CRF had a 28% (HR = 0.72; 95% CI 0.57, 0.91) lower CHD-mortality risk compared to men with low e-CRF, no association was found in this group and men with moderate e-CRF. Men who were more fit had a decreased risk for CHD compared to men in the lowest third of fitness. Estimated CRF may add clinical value to the FRS and help clinicians better predict long-term CHD risk.

Indexed as

Cardiorespiratory fitnessCardiovascular diseaseCHD, coronary heart diseaseChronic diseaseCRF, cardiorespiratory fitnesse-CRF, estimated cardiorespiratory fitnessExercise capacityFramingham risk scoreMenRisk

Identifiers

PMID28593120
PMCPMC5447395
OpenAlexW2614877514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.