ReviewWorld journal of cardiology2017
Patient selection for transcatheter aortic valve replacement: A combined clinical and multimodality imaging approach.
Review in World journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Complex Oncologic Surgery in a Nonagenarian With Severe Aortic Stenosis: Integration of Enhanced Recovery After Surgery Protocol, Total Intravenous Anesthesia, and Advanced Hemodynamic Monitoring.Journal of medical cases · 2026Article
- Epicardial adipose tissue as an independent predictor of long-term outcome in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Article
- Optimizing Anesthetic Selection in Transcatheter Aortic Valve Replacement: Striking a Delicate Balance between Efficacy and Minimal Intervention.Cardiology research and practice · 2024Review
- Doing procedures for patients rather than to patients.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2022Article
- ROTAVI: simultaneous left main rotablation and transcutaneous aortic valve implantation in calcified coronaries and severe aortic stenosis - a case report.European heart journal. Case reports · 2020Article
- Transcatheter aortic valve implantation operators - get involved in imaging!World journal of cardiology · 2017Article
- Emerging hybrid techniques in aortic valve interventions: A systematic review of integrating surgical and transcatheter approaches.International journal of health sciencesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcatheter aortic valve replacement (TAVR) has been validated as a new therapy for patients affected by severe symptomatic aortic stenosis who are not eligible for surgical intervention because of major contraindication or high operative risk. Patient selection for TAVR should be based not only on accurate assessment of aortic stenosis morphology, but also on several clinical and functional data. Multi-Imaging modalities should be preferred for assessing the anatomy and the dimensions of the aortic valve and annulus before TAVR. Ultrasounds represent the first line tool in evaluation of this patients giving detailed anatomic description of aortic valve complex and allowing estimating with enough reliability the hemodynamic entity of valvular stenosis. Angiography should be used to assess coronary involvement and plan a revascularization strategy before the implant. Multislice computed tomography play a central role as it can give anatomical details in order to choice the best fitting prosthesis, evaluate the morphology of the access path and detect other relevant comorbidities. Cardiovascular magnetic resonance and positron emission tomography are emergent modality helpful in aortic stenosis evaluation. The aim of this review is to give an overview on TAVR clinical and technical aspects essential for adequate selection.
Indexed as
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What OpenQuestion holds
Registered trials
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.