Evidence map›Paper›PMID 41293619›Full record

ReviewFrontiers in cardiovascular medicine2025

Nordic consensus document on Evolut FX+ transcatheter aortic valve implantation: optimizing index implantation and longer-term outcomes.

Arif A Khokhar, Mikko Savontaus, Ahmed Al-Ani, Christian Juhl Terkselsen, Gintautas Bieliauskas, Annemieke van der Heijden, Azad Alhasan Alhaj Amin, Stefan James, Kristoffer Russell, Ole De Backer

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cardiovascular medicine, 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

10 authors.

Arif A KhokharRigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Mikko SavontausHeart Center, Turku University Hospital, Turku, Finland.
Ahmed Al-AniDepartment of Cardiology, Ullevål Oslo University Hospital/Ullevål, Oslo, Norway.
Christian Juhl TerkselsenDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
Gintautas BieliauskasRigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Annemieke van der HeijdenEducation & Training, Medtronic, Tolochenaz, Switzerland.
Azad Alhasan Alhaj AminDepartment of Cardiology, Uppsala University Hospital, Uppsala, Sweden.
Stefan JamesDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
Kristoffer RussellDepartment of Cardiology, Rikshospitalet, Oslo University Hospital, Oslo, Norway.
Ole De BackerRigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcatheter aortic valve replacement (TAVI) is an established treatment strategy for patients with severe symptomatic aortic stenosis (AS). Multiple landmark randomized controlled trials have consistently demonstrated the safety, efficacy, and longer-term durability of the CoreValve/Evolut (Medtronic, MN, USA) transcatheter aortic valve (TAV) platform in treating severe AS. These findings have supported the expansion of TAVI to younger patients with longer life expectancy, in whom an optimized index valve implantation can significantly impact both acute procedural results and longer-term outcomes. In this technical narrative, we aim to describe how iterative changes in the latest-generation Evolut FX(+) TAV can be utilized to achieve an optimized index valve implantation.

Indexed as

commissural alignmentcoronary accessnewest-generation technologyoptimized implantation techniquetranscatheter aortic valve replacement

Identifiers

PMID41293619
PMCPMC12641435

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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.