Evidence map›Paper›PMID 37880496›Full record

ReviewNature reviews. Cardiology2024

Restoration of flow in the aorta: a novel therapeutic target in aortic valve intervention.

Pankaj Garg, Michael Markl, Janarthanan Sathananthan, Stephanie L Sellers, Chris Meduri, João Cavalcante

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

6 authors.

Pankaj GargUniversity of East Anglia, Norwich Medical School, Norwich, UK. p.garg@uea.ac.uk.ORCID 0000-0002-5483-169X
Michael MarklDepartments of Radiology & Biomedical Engineering, Northwestern University, Feinberg School of Medicine & McCormick School of Engineering, Chicago, IL, USA.
Janarthanan SathananthanSt. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Stephanie L SellersCardiovascular Translational Lab, St. Paul's Hospital, University of British Columbia Centre for Heart Lung Innovation, Vancouver, British Columbia, Canada.
Chris MeduriDepartment of Cardiology, Karolinska University Hospital, Stockholm, Sweden.
João CavalcanteMinneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aortic blood flow patterns are closely linked to the morphology and function of the left ventricle, aortic valve and aorta. These flow patterns demonstrate the exceptional adaptability of the cardiovascular system to maintain blood circulation under a broad range of haemodynamic workloads and can be altered in various pathophysiological states. For instance, normal ascending aortic systolic flow is predominantly laminar, whereas abnormal aortic systolic flow is associated with increased eccentricity, vorticity and flow reversal. These flow abnormalities result in reduced aortic conduit function and increased energy loss in the cardiovascular system. Emerging evidence details the association of these flow patterns with loss of aortic compliance, which leads to adverse left ventricular remodelling, poor tissue perfusion, and an increased risk of morbidity and death. In this Perspective article, we review the evidence for the link between aortic flow-related abnormalities and cardiovascular disease and how these changes in aortic flow patterns are emerging as a therapeutic target for aortic valve intervention in first-in-human studies.

Indexed as

Aortic ValveAortic Valve StenosisAortaBlood Flow VelocityHemodynamicsHumans

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.