Evidence map›Paper›PMID 35368514›Full record

ArticleBMJ open sport & exercise medicine2022

Rationale and design of the PROspective ATHletic Heart (Pro@Heart) study: long-term assessment of the determinants of cardiac remodelling and its clinical consequences in endurance athletes.

Ruben De Bosscher, Christophe Dausin, Kristel Janssens, Jan Bogaert, Adrian Elliott, Olivier Ghekiere, Caroline M Van De Heyning, Prashanthan Sanders, Jonathan Kalman, Diane Fatkin and 6 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open sport & exercise medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05164328 (Prospective Athlete's Heart Study), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.9field-weighted citation impact, top 3% 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.

NCT05164328 recruitingnot on this map

Prospective Athlete's Heart Study: Long-term Assessment of the Determinants of Cardiac Remodelling and Its Clinical Consequences in Endurance Athletes

TypeobservationalSponsorUniversitaire Ziekenhuizen KU LeuvenRan2015 to 2040Enrolled450ConditionsAthlete HeartArmsNo intervention
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 36 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

16 authors at 7 institutions in 2 countries.

Ruben De BosscherCardiovascular Sciences, KU Leuven, Leuven, Belgium.ORCID 0000-0002-3163-4781
Christophe DausinMovement Sciences, KU Leuven, Leuven, Belgium.
Kristel JanssensCardiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Jan BogaertRadiology, KU Leuven University Hospitals Leuven, Leuven, Belgium.
Adrian ElliottCardiology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Olivier GhekiereCardiology, Jessa Hospital Campus Virga Jesse, Hasselt, Belgium.
Caroline M Van De HeyningCardiology, University of Antwerp, Antwerpen, Belgium.
Prashanthan SandersCardiology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Jonathan KalmanCardiology, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
Diane FatkinInherited Heart Diseases, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.
Lieven HerbotsCardiology, Jessa Hospital Campus Virga Jesse, Hasselt, Belgium.
Rik WillemsCardiovascular Sciences, KU Leuven, Leuven, Belgium.
Hein HeidbuchelCardiology, University Hospital Antwerp, Edegem, Belgium.
André La GercheDepartment of Cardiology, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Guido ClaessenCardiovascular Sciences, KU Leuven, Leuven, Belgium.
Pro@Heart Consortium
KU Leuven · BEBaker Heart and Diabetes Institute · AUJessa Hospital · BERoyal Adelaide Hospital · AUUniversity of Antwerp · BEThe Royal Melbourne Hospital · AUVictor Chang Cardiac Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exercise-induced cardiac remodelling (EICR) results from the structural, functional and electrical adaptations to exercise. Despite similar sports participation, EICR varies and some athletes develop phenotypic features that overlap with cardiomyopathies. Training load and genotype may explain some of the variation; however, exercise 'dose' has lacked rigorous quantification. Few have investigated the association between EICR and genotype. Objectives: (1) To identify the impact of training load and genotype on the variance of EICR in elite endurance athletes and (2) determine how EICR and its determinants are associated with physical performance, health benefits and cardiac pathology. Methods: The Pro@Heart study is a multicentre prospective cohort trial. Three hundred elite endurance athletes aged 14-23 years will have comprehensive cardiovascular phenotyping using echocardiography, cardiac MRI, 12-lead ECG, exercise-ECG and 24-hour-Holter monitoring. Genotype will be determined using a custom cardiomyopathy gene panel and high-density single-nucleotide polymorphism arrays. Follow-up will include online tracking of training load. Cardiac phenotyping will be repeated at 2, 5, 10 and 20 years. Results: The primary endpoint of the Pro@Heart study is the association of EICR with both training load and genotype. The latter will include rare variants in cardiomyopathy-associated genes and polygenic risk scores for cardiovascular traits. Secondary endpoints are the incidence of atrial and ventricular arrhythmias, physical performance and health benefits and their association with training load and genotype. Conclusion: The Pro@Heart study is the first long-term cohort study to assess the impact of training load and genotype on EICR. Trial registration number: NCT05164328; ACTRN12618000716268.

Indexed as

AthleteElite performanceExerciseGeneticsHeart disease

Identifiers

PMID35368514
PMCPMC8935177
OpenAlexW4220694271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.