Evidence map›Paper›PMID 40016495›Full record

ArticleScientific reports2025

Predicting cardiac frequencies in mammals.

Rui D M Travasso, Clint A Penick, Robert R Dunn, E Corvera Poiré

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

4 authors.

Rui D M TravassoCFisUC, Department of Physics, University of Coimbra, Rua Larga, 3004-516, Coimbra, Portugal.
Clint A PenickDepartment of Entomology and Plant Pathology, Auburn University, Auburn, AL, 36849, USA.
Robert R DunnNC State University, 201B Holladay Hall, CB 7101, Raleigh, NC, 27695, USA.
E Corvera PoiréDepartamento de Física y Química Teórica, Facultad de Química, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico. eugenia.corvera@gmail.com.

Funding

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México PAPIIT IN113421Fundação para a Ciência e a Tecnologia UIDB/04564/2020Universidad Nacional Autónoma de México PAIP 5000-9011
6 · The paper itself

Abstract

We develop a fluid mechanical model of the arterial tree in order to address the key question of what determines heart rate in mammals. We propose that the frequency of the pulsatile pressure gradient, which minimizes resistance to flow and facilitates fluid movement, coincides with the physiological heart rate. Using data from the literature on heart rate in 95 mammals as a function of body mass, and the radius of the aorta as a function of body mass, we construct a target curve of cardiac frequency versus aortic radius. This curve serves as a benchmark for comparison with our model's results. Our elastic one-dimensional model for pulsatile arterial flow, combined with experimental rheological data for human blood, enables us to calculate the frequency that minimizes flow resistance, which we express as a function of a characteristic vascular scale, in this case, the aorta radius. We find a reasonable agreement with the target curve, confirming a scaling law with the observed exponent for mammals ranging in size from ferrets to elephants. Our model provides a plausible explanation for the resting heart rate frequency in healthy mammals.

Indexed as

Heart RateMammalsModels, CardiovascularAnimalsAortaHumansPulsatile Flow

Identifiers

PMID40016495
PMCPMC11868370

What OpenQuestion 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 OpenQuestion graph.