Evidence map›Paper›PMID 38034386›Full record

ArticleFrontiers in cardiovascular medicine2023

First description and validation of a new method for estimating aortic stenosis burden and predicting the functional response to TAVI.

Jose M de la Torre Hernandez, Gabriela Veiga Fernandez, Eyal Ben-Assa, Julia Iribarren, Fermin Sainz Laso, Dae-Hyun Lee, Cristina Ruisanchez Villar, Piedad Lerena, Tamara Garcia Camarero, Jose L Iribarren Sarrias and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. 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
0.2field-weighted citation impact, top 39% of its field
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 citations in OpenAlex.

  1. 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

19 authors at 4 institutions in 1 country.

Jose M de la Torre HernandezCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Gabriela Veiga FernandezCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Eyal Ben-AssaCardiology Division, Assuta Ashdod University Hospital, Ben Gurion University, Ashdod, Israel.
Julia IribarrenSchool of Mathematics, Universidad de la Laguna, San Cristobal de la Laguna, Spain.
Fermin Sainz LasoCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Dae-Hyun LeeCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Cristina Ruisanchez VillarCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Piedad LerenaCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Tamara Garcia CamareroCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Jose L Iribarren SarriasIntensive Care Unit, Complejo Hospitalario Universitario de Canarias, Santa Cruz de Tenerife, Spain.
Jose M Cuesta CosgayaCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Maria E Maza FernandezHydrodynamics and Coastal Infrastructures Group of IH Cantabria, Instituto de Hidraulica Ambiental, Universidad de Cantabria, Santander, Spain.
Celia GarilletiCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Victor Fradejas-SastreCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Mercedes BenitoCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Sergio BarreraCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Aritz Gil OngayCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Jose A Vazquez de PradaCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Javier ZuecoCardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Instituto de Investigación Marqués de Valdecilla · ESUniversidad de Cantabria · ESHospital Universitario de Canarias · ESUniversidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Up to one-fifth of patients continue to have poor quality of life after transcatheter aortic valve implantation (TAVI), with an additional similar proportion not surviving 1 year after the procedure. We aimed to assess the value of a new method based on an integrated analysis of left ventricular outflow tract flow velocity and aortic pressure to predict objective functional improvement and prognosis after TAVI. Methods: In a cohort of consecutive patients undergoing TAVI, flow velocity-pressure integrated analysis was obtained from simultaneous pressure recordings in the ascending aorta and flow velocity recordings in the left ventricular outflow tract by echocardiography. Objective functional improvement 6 months after TAVI was assessed through changes in a 6-min walk test and NT-proBNP levels. A clinical follow-up was conducted at 2 years. Results: Of the 102 patients studied, 82 (80.4%) showed objective functional improvement. The 2-year mortality of these patients was significantly lower (9% vs. 44%, Conclusion: This new method allows predicting objective functional improvement after TAVI more precisely than the conventional parameters used to assess the severity of aortic stenosis, particularly in low-gradient patients.

Indexed as

aortic pressureaortic stenosisclinical outcomesflow velocityleft ventricular outflow tracttranscatheter aortic valve implantation

Identifiers

PMID38034386
PMCPMC10682652
OpenAlexW4388656991

What OpenQuestion 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 OpenQuestion graph.