Evidence map›Paper›PMID 36573187›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2022

Cardiorespiratory fitness estimations and their ability to predict all-cause mortality in patients with cardiovascular disease.

James E Peterman, Codie R Rouleau, Ross Arena, Sandeep Aggarwal, Stephen B Wilton, Trina Hauer, Matthew K MacDonald, Leonard A Kaminsky

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

James E PetermanFisher Institute of Health and Well-Being, College of Health, Ball State University, Muncie, IN, USA.
Codie R RouleauDepartment of Psychology, University of Calgary, Calgary, Alberta, Canada.
Ross ArenaHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, USA.
Sandeep AggarwalTotalCardiology Research Network, Calgary, Alberta, Canada.
Stephen B WiltonTotalCardiology Research Network, Calgary, Alberta, Canada.
Trina HauerTotalCardiology Research Network, Calgary, Alberta, Canada.
Matthew K MacDonaldLibin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada.
Leonard A KaminskyFisher Institute of Health and Well-Being, College of Health, Ball State University, Muncie, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In cardiac rehabilitation programs, cardiorespiratory fitness is commonly estimated (eCRF) from the maximum workload achieved on a graded exercise test. This study compared four well-established eCRF equations in their ability to predict mortality in patients with cardiovascular disease (CVD). Methods: A total of 7269 individuals with CVD were studied (81% male; age 59.4 ± 10.3yr). eCRF was calculated using equations from the American College of Sports Medicine, Bruce et al., the Fitness Registry and the Importance of Exercise International Database, and McConnell and Clark. The eCRF from each equation was compared with a RMANOVA. Cox proportional hazard models assessed the relationship between the eCRF equations and mortality risk. The predictive ability of the models was compared using the concordance index. Results: There were 284 deaths (85% male) over a follow-up period of 5.8 ± 2.8yr. Although differences in eCRF were observed between each equation ( Conclusions: The four well-established eCRF equations did not differ in their ability to predict mortality in patients with CVD, indicating any could be used for this purpose. However, the differences in eCRF from each of the equations suggest potential differences in their ability to guide clinical care and should be the focus of future research.

Indexed as

Exercise testFitness algorithmPrediction equationPrognosis

Identifiers

PMID36573187
PMCPMC9789345

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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.