ArticleFrontiers in cardiovascular medicine2025
The impact of different body surface area prediction equations on ventricular dilatation prevalence in youth soccer players.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Feasibility and clinical utility of digital anthropometry for precise assessment of outcomes after post-bariatric reconstructive plastic surgery.Frontiers in surgery · 2026Article
- Innovative digital approaches to characterize core factors of patients with late-stage knee osteoarthritis: a cross-sectional study.Frontiers in digital health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The normalization of echocardiographic variables for body surface area (BSA) enables to obtain relative indexes of ventricular size that are useful for diagnosis and monitoring of non-ischaemic cardiomyopathies. The BSA values commonly considered in the clinical practice are obtained using predictive equations. Our aims were to investigate the accuracy of different predictive equations for BSA estimation and to evaluate the impact of different BSA normalizations on ventricular dilatation prevalence in youth soccer players. Methods: Two samples of 369 and 111 youth soccer players of both genders were recruited. Acquisition of optical images (for the players of the first sample), two-dimensional echocardiographic assessment (for the players of the second sample), and weight and height measurements (for the players of both samples) were performed. BSA estimates were derived from optical images and from ten different predictive equations obtained from the literature. Results: In the first sample of 369 players, we found differences among the BSA estimates obtained with ten predictive equations in both male and female players and we also found that all predictive equations in male players and almost all predictive equations in female players overestimated BSA compared to the optical imaging-derived BSA. In the second sample of 111 soccer players, we found that the normalization of each echocardiographic variable for different BSA values resulted in significantly different relative values and that ventricular dilatation prevalence was a function of BSA normalization. Conclusion: Newly developed equations seemed the most accurate for BSA estimation in both male and female players: therefore, we suggest to adopt these equations for BSA estimation in youth soccer players. The BSA normalization impacts on the ventricular dilatation prevalence: therefore, we suggest to adopt the proper normalization approach to improve the clinical validity of echocardiography in athletes.
Indexed as
Identifiers
What OpenQuestion holds
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.