Evidence map›Paper›PMID 25628408›Full record

ArticleJournal of the American Heart Association2015

Self-reported cardiorespiratory fitness: prediction and classification of risk of cardiovascular disease mortality and longevity--a prospective investigation in the Copenhagen City Heart Study.

Andreas Holtermann, Jacob Louis Marott, Finn Gyntelberg, Karen Søgaard, Ole Steen Mortensen, Eva Prescott, Peter Schnohr

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03016936 (MET), which is not on this 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
–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.

NCT03016936 completednot on this mapstarted 2017, after this paper: background citation

MET: REevaluation for Perioperative cArdIac Risk (MET-REPAIR) Observational Multicentre Study

TypeobservationalSponsorEuropean Society of AnaesthesiologyRan2017 to 2020Enrolled15,000ConditionsNon Cardiac Surgery
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Cardiorespiratory Fitness and Its Place in Medicine.Reviews in cardiovascular medicine · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Fitness versus adiposity in cardiovascular disease risk.European journal of clinical nutrition · 2019
    Review
  15. Article
  16. Article
  17. Vascular Ageing and Exercise: Focus on Cellular Reparative Processes.Oxidative medicine and cellular longevity · 2016
    Review
  18. Lack of physical activity.Deutsches Arzteblatt international · 2015
    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

7 authors.

Andreas HoltermannThe National Research Center for the Working Environment, Copenhagen, Denmark (A.H., O.S.M.).
Jacob Louis MarottThe Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen, Denmark (J.L.M., E.P., P.S.).
Finn GyntelbergThe Copenhagen Male Study, Epidemiological Research Unit, Department of Occupational and Environmental Medicine, Bispebjerg University Hospital, Copenhagen, Denmark (F.G., O.S.M.).
Karen SøgaardDepartment of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark (K.).
Ole Steen MortensenThe National Research Center for the Working Environment, Copenhagen, Denmark (A.H., O.S.M.) The Copenhagen Male Study, Epidemiological Research Unit, Department of Occupational and Environmental Medicine, Bispebjerg University Hospital, Copenhagen, Denmark (F.G., O.S.M.).
Eva PrescottThe Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen, Denmark (J.L.M., E.P., P.S.) Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark (E.P.).
Peter SchnohrThe Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen, Denmark (J.L.M., E.P., P.S.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe predictive value and improved risk classification of self-reported cardiorespiratory fitness (SRCF), when added to traditional risk factors on cardiovascular disease (CVD) and longevity, are unknown. METHODS AND

resultsA total of 3843 males and 5093 females from the Copenhagen City Heart Study without CVD in 1991-1994 were analyzed using multivariate Cox hazards regression to assess the predictive value and survival benefit for CVD and all-cause mortality from SRCF. The category-free net reclassification improvement from SRCF was calculated at 15-year follow-up on CVD and all-cause mortality. Overall, 1693 individuals died from CVD. In the fully adjusted Cox model, those reporting the same (hazard ratio [HR], 1.17; 95% confidence interval [CI], 1.04 to 1.32) and lower (HR, 1.91; 95% CI, 1.62 to 2.24) SRCF than peers had an increased risk of CVD mortality, compared with individuals with higher SRCF. Compared with individuals with higher SRCF, those with the same and lower SRCF had 1.8 (95% CI, 1.0 to 2.5) and 5.1 (95% CI, 4.1 to 6.2) years lower life expectancy, respectively. Individuals with lower SRCF had a significantly increased risk of CVD mortality, compared with individuals with higher SRCF, within each strata of leisure time physical activity and self-rated health, and SRCF significantly predicted CVD mortality independently of self-rated health and walking pace. A net reclassification improvement of 30.5% (95% CI, 22.1% to 38.9%) for CVD mortality was found when adding SRCF to traditional risk factors. Comparable findings were found for all-cause mortality.

conclusionsSRCF has independent predictive value, is related to a considerable survival benefit, and improves risk classification when added to traditional risk factors of CVD and all-cause mortality. SRCF might prove useful in improved risk stratification in primary prevention.

Indexed as

Cause of DeathLongevitySelf ReportAdultAge FactorsCardiovascular DiseasesCohort StudiesDenmarkFemaleHumansMaleMiddle AgedPhysical FitnessPredictive Value of TestsProspective StudiesSex Factorscardiovascular mortalitynet reclassification improvementself‐reported fitness

Identifiers

PMID25628408
PMCPMC4330073

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Registered trials

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.