Evidence map›Paper›PMID 37568890›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Echocardiographic Evaluation of Aortic Stenosis: A Comprehensive Review.

Rachele Manzo, Federica Ilardi, Dalila Nappa, Andrea Mariani, Domenico Angellotti, Maddalena Immobile Molaro, Giulia Sgherzi, Domenico Simone Castiello, Fiorenzo Simonetti, Ciro Santoro and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

15 authors at 1 institution in 1 country.

Rachele ManzoDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0002-2954-4402
Federica IlardiDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0002-3885-5093
Dalila NappaDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Andrea MarianiDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Domenico AngellottiDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0002-7941-0779
Maddalena Immobile MolaroDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0002-0454-7332
Giulia SgherziDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Domenico Simone CastielloDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0001-9208-910X
Fiorenzo SimonettiDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Ciro SantoroDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Mario Enrico CanonicoDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0001-8452-7464
Marisa AvvedimentoDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.ORCID 0000-0002-8443-7888
Raffaele PiccoloDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Anna FranzoneDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Giovanni EspositoDepartment of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Federico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Echocardiography represents the most important diagnostic tool in the evaluation of aortic stenosis. The echocardiographic assessment of its severity should always be performed through a standardized and stepwise approach in order to achieve a comprehensive evaluation. The latest technical innovations in the field of echocardiography have improved diagnostic accuracy, guaranteeing a better and more detailed evaluation of aortic valve anatomy. An early diagnosis is of utmost importance since it shortens treatment delays and improves patient outcomes. Echocardiography plays a key role also in the evaluation of all the structural changes related to aortic stenosis. Detailed evaluation of subtle and subclinical changes in left ventricle function has a prognostic significance: scientific efforts have been addressed to identify the most accurate global longitudinal strain cut-off value able to predict adverse outcomes. Moreover, in recent years the role of artificial intelligence is increasingly emerging as a promising tool able to assist cardiologists in aortic stenosis screening and diagnosis, especially by reducing the rate of aortic stenosis misdiagnosis.

Indexed as

aortic stenosisaortic stenosis gradingartificial intelligencecardiac damageechocardiographymultiparametric approach

Identifiers

PMID37568890
PMCPMC10417789
OpenAlexW4385421750

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.