Evidence map›Paper›PMID 40606517›Full record

ArticleAmerican journal of preventive cardiology2025

The influence of high exercise levels on the coronary atherosclerosis profile by computed tomography angiography and outcomes.

Gudrun M Feuchtner, Elias Ruf, Fabian Barbieri, Thomas Senoner, Johannes Deeg, Yannick Scharll, Gerlig Widmann, Pietro G Lacaita

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Gudrun M FeuchtnerDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.
Elias RufDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.
Fabian BarbieriDeutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Hindenburgdamm 30, 12203 Berlin.
Thomas SenonerDepartment of Anästhesiology and Critical Care Medicine, Medical University Innsbruck, Austria.
Johannes DeegDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.
Yannick ScharllDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.
Gerlig WidmannDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.
Pietro G LacaitaDepartment of Radiology, Innsbruck Medical University, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High exercise volumes may have deleterious effects on the cardiovascular system, and the upper thresholds for "safe" volumes are unclear. Objective: To evaluate if high-exercise volumes influence the coronary artery disease (CAD) profile by coronary CTA, cardiovascular outcomes, compared with traditional CVRF. Methods: 802 patients (age 57.6 ± 10.95 years;38.1 % women) undergoing coronary CTA were enrolled. Self-reported exercise habits were collected: Type, volume (frequency/week and time/per unit); and years of training. Endpoints were: CTA: coronary stenosis severity (CADRADS); high-risk-plaque (HRP); coronary artery calcium score (CAC), and MACE. Results: 478 subjects were included. 100 with high-(H)-exercise level (>3-5x/week and 1-3 h per unit) were propensity-score matched with 124 sedentary controls. The CVRF dyslipidemia ( Conclusion: High-exercise levels (up to 9h/week) are safe - without a deleterious impact on the coronary atherosclerosis profile.

Indexed as

AtherosclerosisCardiovascular preventionComputed tomographyCoronary artery diseaseExerciseRisk factors

Identifiers

PMID40606517
PMCPMC12221281

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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 OpenQuestion graph.