Evidence map›Paper›PMID 33384610›Full record

ArticleFrontiers in physiology2020

Composite Measures of Physical Fitness to Discriminate Between Healthy Aging and Heart Failure: The COmPLETE Study.

Jonathan Wagner, Raphael Knaier, Karsten Königstein, Christopher Klenk, Justin Carrard, Eric Lichtenstein, Hubert Scharnagl, Winfried März, Henner Hanssen, Timo Hinrichs and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

12 authors at 4 institutions in 4 countries.

Jonathan WagnerDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Raphael KnaierDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Karsten KönigsteinDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Christopher KlenkDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Justin CarrardDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Eric LichtensteinDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Hubert ScharnaglClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Winfried MärzClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Henner HanssenDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Timo HinrichsDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Arno Schmidt-TrucksässDepartment of Sport, Exercise and Health, Faculty of Medicine, University of Basel, Basel, Switzerland.
Konstantin ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States.
University of Basel · CHMedical University of Graz · ATSocial Science Research Council · USUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging and changing age demographics represent critical problems of our time. Physiological functions decline with age, often ending in a systemic process that contributes to numerous impairments and age-related diseases including heart failure (HF). We aimed to analyze whether differences in composite measures of physiological function [health distance (HD)], specifically physical fitness, between healthy individuals and patients with HF, can be observed.

methodsThe COmPLETE Project is a cross-sectional study of 526 healthy participants aged 20-91 years and 79 patients with stable HF. Fifty-nine biomarkers characterizing fitness (cardiovascular endurance, muscle strength, and neuromuscular coordination) and general health were assessed. We computed HDs as the Mahalanobis distance for vectors of biomarkers (all and domain-specific subsets) that quantified deviations of individuals' biomarker profiles from "optimums" in the "reference population" (healthy participants aged <40 years). We fitted linear regressions with HD outcomes and disease status (HF/Healthy) and relevant covariates as predictors and logistic regressions for the disease outcome and sex, age, and age

resultsNine out of 10 calculated HDs showed evidence for group differences between Healthy and HF (

conclusionHD composed of physical fitness biomarkers differed between healthy individuals and patients with HF, and differences between groups diminished with increasing age. HDs can successfully predict HF cases, and HD

Indexed as

agingcardiopulmonary exercise testcardiorespiratory fitnessfitnessheart failurephysiological dysregulationstatistical distancestrength

Identifiers

PMID33384610
PMCPMC7770139
OpenAlexW3112965787

What Socratic holds

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Registered trials

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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 Socratic graph.