Evidence map›Paper›PMID 39224103›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

Unveiling the reliability of left atrial strain measurement: a dedicated speckle tracking software perspective in controls and cases.

G E Mandoli, M C Pastore, M C Procopio, A Pica, M Vigna, G Benfari, E E Diviggiano, L Martini, S Lunghetti, M Focardi and 2 more

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Left atrial myopathy predicts cardiovascular outcome in hypertension and diabetes.The international journal of cardiovascular imaging · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Inhomogeneity of the Left Atrial Strain.Medicina (Kaunas, Lithuania) · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Assessing left atrial dysfunction in cardiac amyloidosis using LA-LV strain slope.European heart journal. Imaging methods and practice · 2024
    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

12 authors.

G E MandoliDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.ORCID https://orcid.org/0000-0002-3184-3006
M C PastoreDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.ORCID https://orcid.org/0000-0002-7223-141X
M C ProcopioDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
A PicaDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
M VignaDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
G BenfariSection of Cardiology, Department of Medicine, University of Verona, Verona, Italy.
E E DiviggianoDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
L MartiniDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
S LunghettiDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
M FocardiDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.
M Y HeneinInstitute of Public Health and Clinical Medicine, Umea University, Umea, Sweden.
M CameliDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Mario Bracci, 1, 53100 Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Speckle tracking echocardiography increasingly supports left atrial (LA) strain (LAS) analysis for diagnosis and prognosis of various clinical conditions. Prior limitations, such as the absence of dedicated software, have been overcome by validated ventricular-based software. A newly automated real-time and offline LA-specific software have now become available on echocardiographs and dedicated workstations. This study aimed at comparing LA strain measures obtained from new fully automated software vs. traditional semi-automated ventricular-based methods in different groups of patients. Methods and results: Two operators acquired LA images in a mixed population of healthy individuals and patients with pressure overload (hypertension and aortic stenosis) or pressure-volume overload (mitral regurgitation and heart failure). Subjects with prosthetic valves, heart transplant, or atrial fibrillation were excluded. Strain analysis was performed twice by old semi-automated software and new LA dedicated. LAS was then measured online on the scanning echocardiograph. Overall, 100 patients were analysed (41 healthy subjects, 28 pressure overload, 31 volume overload). LAS proved to be highly reproducible with both software. The dedicated method exhibited slightly superior inter- and intra-operator reproducibility. The online software results showed a nearly perfect reproducibility with offline software [intraclass correlation coefficient = 0.99 [0.99; 1.00]] in addition to being able to save an average of ∼30 s. Conclusion: The recently developed fully automated software for dedicated LAS analysis demonstrates excellent inter- and intra-operator reproducibility, making it a reliable and efficient strain calculation method in routine clinical practice. Another advantage of online LAS calculation is time efficiency.

Indexed as

dedicated automated softwareleft atrial strainreproducibilityspeckle tracking echocardiography

Identifiers

PMID39224103
PMCPMC11367955

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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.