Evidence map›Paper›PMID 41936942›Full record

Observational studyJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance

Hydraulic forces assist left ventricular filling in aortic stenosis at baseline and after valve replacement.

Bryce Watson, Jonathan Bennett, Nikoo Aziminia, Abhishek Shetye, George D Thornton, Rhodri Davies, Iain Pierce, Rebecca Kozor, Alun D Hughes, James C Moon and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 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

12 authors.

Bryce WatsonInstitute of Cardiovascular Science, University College London, London, United Kingdom; St George Physician Training Network, Sydney, Australia.
Jonathan BennettInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Nikoo AziminiaInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Abhishek ShetyeDepartment of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
George D ThorntonInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Rhodri DaviesInstitute of Cardiovascular Science, University College London, London, United Kingdom.
Iain PierceInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Rebecca KozorKolling Institute, Department of Cardiology, Royal North Shore Hospital, and University of Sydney, Sydney, Australia.
Alun D HughesInstitute of Cardiovascular Science, University College London, London, United Kingdom.
James C MoonInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Martin UganderKolling Institute, Department of Cardiology, Royal North Shore Hospital, and University of Sydney, Sydney, Australia; Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden.
Thomas A TreibelInstitute of Cardiovascular Science, University College London, London, United Kingdom; Department of Cardiovascular Imaging, Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom. Electronic address: thomas.treibel.12@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiastolic dysfunction in the setting of aortic valve replacement (AVR) for aortic stenosis (AS) is incompletely understood. This study aims to assess the net hydraulic force of left ventricular (LV) filling in participants with severe symptomatic AS undergoing AVR.

methodsThis single-centre prospective observational cohort study evaluated patients with severe, symptomatic AS undergoing AVR between 2012 and 2015. Clinical assessment and cardiovascular magnetic resonance were completed prior to AVR and 1-year post-operatively. Atrioventricular area difference (AVAD) was used as a surrogate for the hydraulic force of LV filling. AVAD at mid-diastole was measured as the difference between LV short-axis area and left atrial short-axis area.

resultsIn patients with AS (n = 110, 54% [59/110] male, age 71 [64-77] years, aortic valve area 0.74 ± 0.25 cm

conclusionIn severe AS, hydraulic force contributes to LV filling prior to and following AVR. The greatest improvement in hydraulic force following AVR occurred in those with the lowest baseline hydraulic force, but also with lower age and the absence of otherwise deleterious LV myocardial remodelling.

Indexed as

Aortic ValveAortic Valve StenosisHeart Valve Prosthesis ImplantationVentricular Dysfunction, LeftVentricular Function, LeftAgedDiastoleFemaleHumansMaleMiddle AgedProspective StudiesRecovery of FunctionSeverity of Illness IndexTime FactorsTreatment OutcomeAortic stenosisDiastologyRemodelling

Identifiers

PMID41936942
PMCPMC13241711

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.