Evidence map›Paper›PMID 42749876›Full record

ReviewCommunications medicine2026

Integration of multiple perspectives to understand the left ventricular pressure-volume relationship.

Giovanni Tonti, Gianni Pedrizzetti, Alessandro Salustri

Abstract readReview
In one paragraph

Review in Communications medicine, 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.

Giovanni TontiDepartment of Cardiovascular Disease, University G. D'Annunzio, Chieti-Pescara, Italy.
Gianni PedrizzettiDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0003-2886-7653
Alessandro SalustriDepartment of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan. alessandro.salustri@nu.edu.kz.ORCID http://orcid.org/0000-0002-4596-0887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For more than a century, the pressure-volume loop has offered a simple and elegant way to show how the heart pumps blood. In one picture, it summarizes how the heart fills, contracts, and ejects blood. However, this simplicity has a limitation: the loop treats the heart as if it were a single, uniform chamber. Therefore, it cannot reveal many important biological and mechanical processes that influence how the heart truly works. This helps explain why some patients develop symptoms or early signs of heart problems even when their pressure-volume measurements look completely normal. In this Perspective, we describe the pressure-volume relationship not as a stand-alone measure but as an emergent phenotype - the visible "end result" of many processes happening at different levels. Beneath the loop are the molecular and cellular mechanisms that control how heart muscle contracts and relaxes. Beyond the loop are differences in how various regions of the heart function, the organised patterns of blood flow inside the ventricle, and the continuous interaction between the heart and the rest of the circulatory system. We discuss how advanced imaging, flow visualization techniques, and computational modelling can add depth to pressure-volume analysis, revealing mechanisms that global, chamber-level measurements cannot show. Seen this way, the familiar loop becomes a window into an individual patient's underlying biology, helping clinicians diagnose problems earlier and more accurately. This approach may help reveal the true mechanisms behind seemingly normal pressure-volume loops and support more precise, targeted treatments.

Identifiers

PMID42749876
PMCPMC13582966

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.