Evidence mapPaperPMID 39221063Full record

ReviewInterventional cardiology (London, England)2024

Conduction Abnormalities after Transcatheter Aortic Valve Implantation: Incidence, Impact and Management Using CT Data Interpretation.

Rutger-Jan Nuis, Mark van den Dorpel, Rik Adrichem, Joost Daemen, Nicolas Van Mieghem

Abstract readReview
In one paragraph

Review in Interventional cardiology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rutger-Jan NuisDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center Rotterdam, the Netherlands.
Mark van den DorpelDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center Rotterdam, the Netherlands.
Rik AdrichemDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center Rotterdam, the Netherlands.
Joost DaemenDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center Rotterdam, the Netherlands.
Nicolas Van MieghemDepartment of Cardiology, Thoraxcenter, Erasmus University Medical Center Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demonstrated safety and effectiveness of transcatheter aortic valve implantation (TAVI) among low surgical risk patients opened the road to its application in younger low-risk patients. However, the occurrence of conduction abnormalities and need for permanent pacemaker implantation remains a frequent problem associated with adverse outcomes. The clinical implications may become greater when TAVI shifts towards younger populations, highlighting the need for comprehensive strategies to address this issue. Beyond currently available clinical and electrocardiographic predictors, patient-specific anatomical assessment of the aortic root using multi-sliced CT (MSCT) imaging can refine risk stratification. Moreover, leveraging MSCT data for computational 3D simulations to predict device-anatomy interactions may help guide procedural strategy to mitigate conduction abnormalities. The aims of this review are to summarise the incidence and clinical impact of new left bundle branch block and permanent pacemaker implantation post-TAVI using contemporary transcatheter heart valves; and highlight the value of MSCT data interpretation to improve the management of this complication.

Indexed as

Aortic valve stenosisconduction abnormalitiesleft bundle branch blockmulti-sliced CTpermanent pacemakertranscatheter aortic valve implantation

Identifiers

PMID39221063
PMCPMC11363062

What Socratic holds

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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.