Evidence map›Paper›PMID 39702022›Full record

ReviewBMC cardiovascular disorders2024

Intracardiac fluid dynamic analysis: available techniques and novel clinical applications.

Isabella Leo, Angelica Cersosimo, Jessica Ielapi, Jolanda Sabatino, Federico Sicilia, Antonio Strangio, Stefano Figliozzi, Daniele Torella, Salvatore De Rosa

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BMC cardiovascular disorders, 2024. 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. Review
  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

9 authors.

Isabella LeoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Angelica CersosimoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Jessica IelapiDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Jolanda SabatinoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Federico SiciliaDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Antonio StrangioDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Stefano FigliozziIRCCS Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milan, Italy.
Daniele TorellaDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy, Viale Europa, 1, 88100.
Salvatore De RosaDepartment of Medical and Surgical Sciences, Magna Graecia University, Viale Europa, 1, 88100, Catanzaro, Italy. saderosa@unicz.it.

Funding

Ministero dell'Università e della Ricerca CN00000041
6 · The paper itself

Abstract

There is a growing interest in the potential use of intracardiac fluid dynamic analysis to better understand cardiac mechanics and identify novel imaging biomarkers of cardiovascular disease. Abnormalities of vortex formation and shape may in fact play a critical role in cardiac function, affecting both efficiency and myocardial workload. Recent advances in imaging technologies have significantly improved our ability to analyze these dynamic flow patterns in vivo, offering new insights into both normal and pathological cardiac conditions. This review will provide a comprehensive overview of the available imaging techniques for intracardiac fluid dynamics analysis, highlighting their strengths and limitations. By synthesizing the current knowledge in this evolving field, the paper aims to underscore the importance of advanced fluid dynamic analysis in contemporary cardiology and to identify future directions for research and clinical practice.

Indexed as

Heart DiseasesHydrodynamicsPredictive Value of TestsAnimalsCardiac Imaging TechniquesHemodynamicsHumansModels, CardiovascularPrognosis4d FlowCardiac mechanicsFluid dynamicsPhase contrast magnetic resonance imagingVortex

Identifiers

PMID39702022
PMCPMC11660877

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.