Evidence map›Paper›PMID 42741923›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2026

Right Ventricular Myocardial Work by Echocardiography: A Scoping Review of Methodology, Validation, and Clinical Applications.

Ehsan Shahverdi, Carsten Schneider, Mathias Lange

Abstract readScoping Review
In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ehsan ShahverdiDepartment of Cardiology, Rhythmology, Angiology and Intensive Care Medicine, Klinikum Osnabrück, Osnabrück, Germany.
Carsten SchneiderDepartment of Cardiology, Rhythmology, Angiology and Intensive Care Medicine, Klinikum Osnabrück, Osnabrück, Germany.
Mathias LangeDepartment of Cardiology, Rhythmology, Angiology and Intensive Care Medicine, Klinikum Osnabrück, Osnabrück, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEchocardiographic assessment of right ventricular (RV) function remains challenging because conventional functional and deformation indices are strongly influenced by loading conditions. Right ventricular myocardial work (RVMW), derived by integrating myocardial deformation with ventricular pressure, has emerged as a potential framework for contextualizing RV mechanics according to afterload. However, its methodology, validation, clinical applications, and readiness for routine use have not been comprehensively mapped.

methodsA scoping review was conducted in accordance with Joanna Briggs Institute methodology and reported according to PRISMA-ScR. MEDLINE via PubMed was systematically searched from inception through August 14, 2026. The search was supplemented by targeted terminology-based searches, backward and forward citation tracking, reference-list screening, and searches using individual RVMW indices. Original human studies quantitatively evaluating echocardiography-derived RVMW were eligible. Data were charted regarding study characteristics, RVMW methodology, pressure source, work indices, validation strategy, clinical application, prognostic value, reproducibility, and methodological limitations.

resultsThirty-nine studies met the eligibility criteria. The evidence encompassed several related but methodologically distinct RVMW constructs: 27 studies primarily used conventional non-invasive subpulmonary RV pressure-strain-loop analysis, three regional myocardial-work approaches, two systemic-RV myocardial work, two invasive-pressure-integrated approaches, two single-ventricle/Fontan approaches, and three emerging three-dimensional or volume-integrated pressure-strain-volume/pressure-volume methods. These constructs differ in pressure source, ventricular geometry, and mathematical derivation and are not numerically interchangeable. The literature evolved from early physiological and proof-of-concept investigations toward invasive validation, reference-value assessment, disease-specific phenotyping, interventional studies, and preliminary prognostic applications. Pulmonary hypertension represented the most extensively investigated clinical domain, while applications expanded to heart failure, congenital and systemic-RV physiology, mechanical circulatory support, structural interventions, pediatric populations, and physiological adaptation. Substantial heterogeneity remained in strain definition, RV segmentation, pressure estimation, pressure-curve construction, and analytical methodology.

conclusionsEchocardiography-derived RVMW is a promising integrative framework that contextualizes RV deformation according to prevailing pressure load and may provide complementary information beyond conventional RV functional indices. Current evidence is strongest in pulmonary hypertension, while applications across other cardiovascular and systemic conditions are expanding. Nevertheless, methodological heterogeneity, limited multicenter validation, absence of universally accepted reference values and disease-specific thresholds, and uncertain incremental clinical utility currently preclude routine implementation. Standardized RV-specific methodology and prospective studies demonstrating management-relevant incremental value are required before RVMW can become a routinely actionable echocardiographic measure.

Indexed as

EchocardiographyHeart VentriclesVentricular Dysfunction, RightVentricular Function, RightHumansReproducibility of Resultsechocardiographymyocardial strainmyocardial workpressure–strain looppulmonary hypertensionright ventricleright ventricular functionscoping reviewventricular–arterial coupling

Identifiers

PMID42741923
PMCPMC13575840

What OpenQuestion holds

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Registered trials

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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.