Evidence map›Paper›PMID 40562802›Full record

ReviewNature reviews. Cardiology2026

Challenges and opportunities in assessing right ventricular structure and function: a Roadmap for standardization, clinical implementation and research.

Attila Kovács, Harry Magunia, Alina Nicoara, David Oxborough, Marius Keller, Daniel X Augustine, Dick Thijssen, Arie van Dijk, Andre Denault, Francois Haddad and 1 more

Abstract readReview
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In one paragraph

Review in Nature reviews. Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Attila KovácsDepartment of Experimental Cardiology and Surgical Techniques, Heart and Vascular Center, Semmelweis University, Budapest, Hungary. attila.kovacs@semmelweis.hu.ORCID 0000-0003-2320-6434
Harry MaguniaDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.ORCID 0000-0001-9576-6399
Alina NicoaraDepartment of Anaesthesiology, Duke University, Durham, NC, USA.ORCID 0000-0002-3814-6182
David OxboroughResearch Institute of Sports and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.
Marius KellerDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany.
Daniel X AugustineRoyal United Hospitals Bath & University of Bath, Bath, UK.
Dick ThijssenResearch Institute of Sports and Exercise Sciences, Liverpool John Moores University, Liverpool, UK.
Arie van DijkAcademic Center for Congenital Heart Disease, Radboud University Medical Center, Nijmegen, Netherlands.
Andre DenaultDepartment of Anaesthesiology, Montréal Heart Institute, Université de Montréal, Montréal, Canada.
Francois HaddadDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.
Elena SurkovaResearch and Early Clinical Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given its crucial role in determining patient symptoms and outcomes in various cardiopulmonary diseases, the thorough and accurate assessment of right ventricular function is essential for both diagnosis and ongoing patient monitoring. In the era of precision medicine, a more detailed characterization of patients with cardiopulmonary diseases is needed, especially with the emergence of novel pharmacological and device-based therapies, such as transcatheter tricuspid valve intervention, gene therapy in patients with cardiomyopathy and anti-obesity interventions for patients with heart failure. Precise and reproducible quantification of right ventricular morphology and function are crucial for risk stratification, the selection of different therapies for the appropriate patients and the evaluation of treatment outcomes. As our understanding of right ventricular pathophysiology expands, the need for sensitive markers of functional deterioration, reliable prognostic indicators and more precise surrogates for clinical trials becomes increasingly important. In this Roadmap, we address current challenges in the standardization of image acquisition, analysis and interpretation across different modalities. We explore the factors limiting the clinical adoption of more advanced approaches and provide expert recommendations to overcome these barriers. Additionally, we outline potential next steps for incorporating parameters of right ventricular function as surrogate end points in multicentre clinical trials of new drugs or devices, and highlight new research opportunities, including the integration of artificial intelligence technologies. Finally, we issue a call for international collaboration on selected priority areas.

Indexed as

Heart VentriclesVentricular Dysfunction, RightVentricular Function, RightHumans

Identifiers

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.