Evidence map›Paper›PMID 33545606›Full record

ArticleJournal of biomechanics2021

Assessment of sex differences in ventricular-vascular coupling of left ventricular and aortic flow derived from 4D flow MRI in healthy, young adults.

Ryan Pewowaruk, David Rutkowski, Cody Johnson, Amanda Wolfinger, Alejandro Roldán-Alzate

Abstract read
In one paragraph

Article in Journal of biomechanics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Ryan PewowarukBiomedical Engineering, University of Wisconsin - Madison, United States.
David RutkowskiRadiology, University of Wisconsin - Madison, United States.
Cody JohnsonRadiology, University of Wisconsin - Madison, United States.
Amanda WolfingerRadiology, University of Wisconsin - Madison, United States.
Alejandro Roldán-AlzateBiomedical Engineering, University of Wisconsin - Madison, United States; Radiology, University of Wisconsin - Madison, United States; Mechanical Engineering, University of Wisconsin - Madison, United States. Electronic address: roldan@wisc.edu.

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
NHLBI NIH HHS T32 HL007936
6 · The paper itself

Abstract

To gain further insight into male-female differences in cardiovascular conditions it is important to understand sex differences in healthy populations. A previous study from our group of 39 healthy young volunteers (20-35 years) paradoxically found that men had greater left ventricular (LV) kinetic energy (KE) but women had greater LV vorticity. We reanalyzed cardiac four-dimensional flow MRI data from 20 of the original subjects (10 male and 10 female) to quantify aortic flow in addition to LV flow. The combination of LV and aortic flow parameters were then used to calculate ventricular vascular coupling of KE and vorticity. The sex difference found in LV flow were not found in aortic flow and the ventricular-vascular coupling of LV-to-aortic flow was similar between men and women. Dimensional analysis to account for differences in cardiac output and ventricular volume explained the differences found in LV flow. The analysis methods and results of this study may be of further use in understanding ventricular vascular coupling of transported flow variables in healthy sex differences, healthy aging, and various cardiovascular conditions.

Indexed as

Sex CharacteristicsVentricular Function, LeftAortaFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleYoung Adult4D flow MRIBiofluidsVentricular vascular coupling

Identifiers

PMID33545606
PMCPMC7920945

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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.