Evidence map›Paper›PMID 33442856›Full record

ArticleThe international journal of cardiovascular imaging2021

Detection of cardiac allograft vasculopathy by multi-layer left ventricular longitudinal strain in heart transplant recipients.

C Sciaccaluga, G E Mandoli, N Sisti, M B Natali, A Ibrahim, D Menci, A D'Errico, G Donati, G Benfari, S Valente and 5 more

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Layer-specific fast strain-encoded cardiovascular magnetic resonance in suspected acute coronary syndrome: a prospective study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Factors associated with cardiac allograft vasculopathy after heart transplantation.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2022
    Article
  9. Review
  10. Review
  11. Review
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

15 authors at 2 institutions in 1 country.

C Sciaccaluga *Department of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy. carlotta.sciaccaluga@gmail.com.ORCID http://orcid.org/0000-0002-1965-1773
G E Mandoli *Department of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
N SistiDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
M B NataliDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
A IbrahimDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
D MenciDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
A D'ErricoDepartment of Internal Medicine, University of Siena, Siena, Italy.
G DonatiDepartment of Internal Medicine, University of Siena, Siena, Italy.
G BenfariDivision of Cardiology, Department of Medicine, University of Verona, Verona, Italy.
S ValenteDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
S BernazzaliDepartment of Cardiac Surgery, University Hospital of Siena, Siena, Italy.
M MaccheriniDepartment of Cardiac Surgery, University Hospital of Siena, Siena, Italy.
S MondilloDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
M CameliDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
M FocardiDepartment of Medical Biotechnologies, Section of Cardiology, University of Siena, Siena, Italy.
University of Siena · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac allograft vasculopathy (CAV) is an obliterative and diffuse type of coronaropathy that develops in the transplanted human heart, representing a major cause of graft failure and mortality. Nowadays the gold standard for the diagnosis of CAV is coronary angiography (CA). Non-invasive CAV detection, especially in the early stages of the disease, is still challenging. Our study aimed to investigate the role of speckle tracking echocardiography (STE), in particular three-layer STE, in predicting CAV at early stages, and if other traditional echocardiographic, clinical or biochemical parameters could relate to CAV. The study population was composed of a total of 33 heart transplanted patients, divided accordingly to the presence or absence of CAV (12 CAV+ , 22 CAV-). All subjects underwent a complete transthoracic echocardiographic examination on the same day of the CA, and all conventional parameters of myocardial function were obtained, including strain values assessed by STE. Strain values were significantly reduced in presence of CAV, at each myocardial layer but in particular the endocardial-epicardial gradient (- 4.15 ± 1.6 vs - 1.7 ± 0.4% < .0001) that was also highly predictive of CAV (AUC at ROC curve 0.97). Among diastolic parameters, the E wave deceleration time (DT) and the mean E/e' ratio were strongly positively associated with CAV. In our population, left ventricular global longitudinal strain (GLS), layer-specific GLS and the endocardial-epicardial LS gradient, E wave DT and E/e' ratio were the best independent non-invasive predictors of CAV.

Indexed as

Heart TransplantationHeart VentriclesAllograftsEchocardiographyHumansPredictive Value of TestsCoronary allograft vasculopathyHeart transplantSpeckle tracking echocardiography

Identifiers

PMID33442856
OpenAlexW3118564038

What OpenQuestion holds

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Read underepoch 390

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.