Evidence map›Paper›PMID 41636880›Full record

SynthesisHeart failure reviews2026

Non-invasive myocardial work analysis in normal, at-risk for heart failure and heart failure patients during stress testing-a systematic review: a joint session with the Romanian Society of Cardiology (part III).

Dragoș Guz, Radu Filipescu, Andrew P Ambrosy, Matteo Pagnesi, Ovidiu Chioncel, Alexandre Mebazaa, Sean P Collins, Șerban Mihăileanu, Gad Cotter, Elena-Laura Antohi

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Heart failure reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Dragoș GuzUniversity of Medicine and Pharmacy Carol Davila, 8 Eroii Sanitari Blvd., 050474, Bucharest, Romania. guz.dragos@gmail.com.
Radu FilipescuUniversity of Medicine and Pharmacy Carol Davila, 8 Eroii Sanitari Blvd., 050474, Bucharest, Romania.
Andrew P AmbrosyDepartment of Cardiology and Division of Research, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA.
Matteo PagnesiDepartment of Medical and Surgical Specialties, Radiological Sciences, and Public Health, Institute of Cardiology, ASST Spedali Civili, University of Brescia, Brescia, Italy.
Ovidiu ChioncelUniversity of Medicine and Pharmacy Carol Davila, 8 Eroii Sanitari Blvd., 050474, Bucharest, Romania.
Alexandre MebazaaUniversité Paris Cité, INSERM UMR-S 942 (MASCOT), Paris, France.
Sean P CollinsDepartment of Emergency Medicine, Vanderbilt University Medical Center and Veterans Affairs Tennessee Valley Healthcare System, Geriatric Research, Education and Clinical Center, Nashville, TN, USA.
Șerban MihăileanuInstitut Mutualiste Montsouris, Paris, France.
Gad CotterUniversité Paris Cité, INSERM UMR-S 942 (MASCOT), Paris, France.
Elena-Laura AntohiUniversity of Medicine and Pharmacy Carol Davila, 8 Eroii Sanitari Blvd., 050474, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For over a decade, non-invasive myocardial work (MW) analysis, employing pressure-strain loops derived from strain deformation echocardiography, has been extensively studied across various left heart conditions. Recently, interest in MW variation during physical exercise or pharmacological stress testing has emerged. However, existing studies often involve heterogeneous populations, leaving the clinical significance of MW indices variation poorly understood. This review aims to systematically evaluate the literature on non-invasive MW parameter techniques and their changes during stress testing. MW analysis provides critical insights into cardiac function, aiding in the detection of underlying disease, such as coronary artery disease and heart failure. While numerous studies in diverse clinical settings have focused on MW assessment at rest, stress MW indices may more effectively predict treatment response and prognosis. Nevertheless, the current literature remains limited. Future research should prioritize addressing these knowledge gaps to fully harness the potential of MW analysis in clinical practice.

Indexed as

Echocardiography, StressExercise TestHeart FailureVentricular Function, LeftHumansPrognosisHeart failureMyocardial workPressure-strain loopsStress testing

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.