Evidence map›Paper›PMID 39739253›Full record

Observational studyThe international journal of cardiovascular imaging2025

Validation of a hand-held ultrasound device in the evaluation of aortic stenosis.

Jon Zubiaur, Adrián de Margarida Castro, Raquel Pérez-Barquín, Manuel Lozano Gonzalez, Gonzalo Martin Gorria, Luis Javier Ruiz Guerrero, Andrea Teira Calderon, Ignacio Santiago Setien, David Serrano Lozano, Francisco González Vílchez and 1 more

Abstract readValidation StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

11 authors.

Jon ZubiaurCardiology, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, Santander, Spain. jonzubiaur5@gmail.com.ORCID https://orcid.org/0000-0003-4744-4306
Adrián de Margarida CastroCardiology, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, Santander, Spain.
Raquel Pérez-BarquínCardiology, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, Santander, Spain.
Manuel Lozano GonzalezCardiology, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, Santander, Spain.
Gonzalo Martin GorriaCardiology Division, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla s/n., Santander, ES-39008, Spain.
Luis Javier Ruiz GuerreroCardiology Division, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla s/n., Santander, ES-39008, Spain.
Andrea Teira CalderonCardiology, Hospital Universitari i Politecnic La Fe, Valencia, Spain.
Ignacio Santiago SetienCardiology Division, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla s/n., Santander, ES-39008, Spain.
David Serrano LozanoCardiology Division, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla s/n., Santander, ES-39008, Spain.
Francisco González VílchezCardiology Division, Hospital Universitario Marqués de Valdecilla, Avda. Valdecilla s/n., Santander, ES-39008, Spain.
Jose Antonio Vázquez de Prada TiffeCardiology, Hospital Universitario Marqués de Valdecilla, IDIVAL, University of Cantabria, Santander, Spain.

Funding

Instituto de Investigación Marqués de Valdecilla MTVAL1907
6 · The paper itself

Abstract

Hand-held ultrasound devices (HHUD) are increasingly used in routine clinical practice, though they lacked continuous (CW) Doppler capability until recent times. There is limited evidence on the utility of HHUD in assessing aortic stenosis (AS) in real-world settings. Our goal was to validate a new HHUD with CW Doppler assessing AS hemodynamic severity. An observational, single-center study at the Valdecilla University Hospital, Santander, Spain between October 2022 and August 2023 was conducted. Patients previously diagnosed with AS were consecutively recruited. Following a reference echocardiographic examination in the cardiac imaging laboratory by an experienced operator (American Society of Echocardiography, level III), a HHUD with CW Doppler (Kosmos, EchoNous™) was used by an operator with intermediate echocardiography experience (American Society of Echocardiography, level II). The focus was on measuring aortic transvalvular Doppler velocities. Agreement between the mean trans-aortic gradient (mAG) was assessed using the intraclass correlation coefficient (ICC) test. A total of 101 patients were included. The reference test obtained a mAG of 29 mmHg [19.8-42.2], while the HHUD test showed 27.2 mmHg [16.2-43.9]. A strong correlation was observed (r = 0.89), with an ICC value of 0.87 and no significant bias (1.61 ± 0.9). The HHUD demonstrated very good ability to identify severe AS (kappa = 0.81, 95% CI 0.68-0.94; global agreement 92.1%) and good agreement for moderate (kappa = 0.58; global agreement = 80.2%) and mild (kappa = 0.73; global agreement = 88.1%) AS. Agreement was lower in patients with obesity (ICC = 0.63), poor acoustic windows (ICC = 0.74), or atrial fibrillation (ICC = 0.74). The HHUD showed good agreement with standard echocardiography in assessing AS. While it slightly underestimated mAG, it was accurate enough to reliably quantify AS severity.

Indexed as

Aortic ValveAortic Valve StenosisEchocardiography, DopplerHemodynamicsAgedAged, 80 and overEquipment DesignFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsSeverity of Illness IndexAortic stenosisEchocardiographyHand-held ultrasoundPoint of care ultrasound

Identifiers

What OpenQuestion holds

Textmetadata
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.